From b35f8cd78d4a3d87864c40600b16061d4868c040 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Fri, 12 Jun 2020 17:27:01 -0400
Subject: [PATCH 01/14] initial workbook for josh

---
 josh-twitter_scraping_notebook.ipynb | 4011 ++++++++++++++++++++++++++
 1 file changed, 4011 insertions(+)
 create mode 100644 josh-twitter_scraping_notebook.ipynb

diff --git a/josh-twitter_scraping_notebook.ipynb b/josh-twitter_scraping_notebook.ipynb
new file mode 100644
index 0000000..999c4ea
--- /dev/null
+++ b/josh-twitter_scraping_notebook.ipynb
@@ -0,0 +1,4011 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def twint_search(search, username=None, since=None, until=None, limit=None):\n",
+    "    '''\n",
+    "    Function to return a pandas dataframe of tweets in English containing term using twint search method.\n",
+    "    Required parameter: search term.\n",
+    "    Optional parameters: username, beginning (since) and end (until) datetimes to search, maximum number of tweets.\n",
+    "    '''\n",
+    "    c = twint.Config()\n",
+    "    c.Lang = 'en'\n",
+    "    c.Search = search\n",
+    "    c.Username = username\n",
+    "    c.Since = since\n",
+    "    c.Until = until\n",
+    "    c.Limit = limit\n",
+    "    c.Pandas = True\n",
+    "#     c.Hide_output = True\n",
+    "    twint.run.Search(c)\n",
+    "    df = twint.storage.panda.Tweets_df\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.output:checkData:copyrightedTweet\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "ERROR:asyncio:Task exception was never retrieved\n",
+      "future: <Task finished coro=<Twint.main() done, defined at /opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py:147> exception=TimeoutError()>\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 149, in Response\n",
+      "    return await response.text()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/client_reqrep.py\", line 1009, in text\n",
+      "    await self.read()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/client_reqrep.py\", line 973, in read\n",
+      "    self._body = await self.content.read()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 358, in read\n",
+      "    block = await self.readany()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 380, in readany\n",
+      "    await self._wait('readany')\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 296, in _wait\n",
+      "    await waiter\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/futures.py\", line 327, in __iter__\n",
+      "    yield self  # This tells Task to wait for completion.\n",
+      "concurrent.futures._base.CancelledError\n",
+      "\n",
+      "During handling of the above exception, another exception occurred:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 182, in _step\n",
+      "    result = coro.throw(exc)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 154, in main\n",
+      "    await task\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 250, in _wakeup\n",
+      "    future.result()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 182, in _step\n",
+      "    result = coro.throw(exc)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 177, in run\n",
+      "    await self.tweets()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 137, in tweets\n",
+      "    await self.Feed()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 45, in Feed\n",
+      "    response = await get.RequestUrl(self.config, self.init, headers=[(\"User-Agent\", self.user_agent)])\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 119, in RequestUrl\n",
+      "    response = await Request(_url, params=params, connector=_connector, headers=headers)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 143, in Request\n",
+      "    return await Response(session, url, params)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 149, in Response\n",
+      "    return await response.text()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/async_timeout/__init__.py\", line 45, in __exit__\n",
+      "    self._do_exit(exc_type)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/async_timeout/__init__.py\", line 92, in _do_exit\n",
+      "    raise asyncio.TimeoutError\n",
+      "concurrent.futures._base.TimeoutError\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 4min 32s, sys: 1.6 s, total: 4min 34s\n",
+      "Wall time: 17min 15s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%time mask_df = twint_search(search='(mask OR masks)',\n",
+    "                             username=None,\n",
+    "                             since='2020-01-01',\n",
+    "                             until='2020-01-02',\n",
+    "                             limit=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "14563"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(mask_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'conversation_id', 'created_at', 'date', 'timezone', 'place',\n",
+       "       'tweet', 'hashtags', 'cashtags', 'user_id', 'user_id_str', 'username',\n",
+       "       'name', 'day', 'hour', 'link', 'retweet', 'nlikes', 'nreplies',\n",
+       "       'nretweets', 'quote_url', 'search', 'near', 'geo', 'source',\n",
+       "       'user_rt_id', 'user_rt', 'retweet_id', 'reply_to', 'retweet_date',\n",
+       "       'translate', 'trans_src', 'trans_dest'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>timezone</th>\n",
+       "      <th>place</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>cashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>...</th>\n",
+       "      <th>geo</th>\n",
+       "      <th>source</th>\n",
+       "      <th>user_rt_id</th>\n",
+       "      <th>user_rt</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>retweet_date</th>\n",
+       "      <th>translate</th>\n",
+       "      <th>trans_src</th>\n",
+       "      <th>trans_dest</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1212523886329380865</td>\n",
+       "      <td>1212523886329380865</td>\n",
+       "      <td>1577923196000</td>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1099209894295678977</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1212523880558026753</td>\n",
+       "      <td>1212523880558026753</td>\n",
+       "      <td>1577923195000</td>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>57777541</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1212523828888449024</td>\n",
+       "      <td>1212421340281614338</td>\n",
+       "      <td>1577923183000</td>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>346609834</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1212523807128186882</td>\n",
+       "      <td>1212402852011937792</td>\n",
+       "      <td>1577923177000</td>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1070005555777945600</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1212523752925229056</td>\n",
+       "      <td>1212512506838519811</td>\n",
+       "      <td>1577923164000</td>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>48659042</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 33 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    id      conversation_id     created_at  \\\n",
+       "0  1212523886329380865  1212523886329380865  1577923196000   \n",
+       "1  1212523880558026753  1212523880558026753  1577923195000   \n",
+       "2  1212523828888449024  1212421340281614338  1577923183000   \n",
+       "3  1212523807128186882  1212402852011937792  1577923177000   \n",
+       "4  1212523752925229056  1212512506838519811  1577923164000   \n",
+       "\n",
+       "                  date timezone place  \\\n",
+       "0  2020-01-01 18:59:56      EDT         \n",
+       "1  2020-01-01 18:59:55      EDT         \n",
+       "2  2020-01-01 18:59:43      EDT         \n",
+       "3  2020-01-01 18:59:37      EDT         \n",
+       "4  2020-01-01 18:59:24      EDT         \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags cashtags              user_id  ... geo source  \\\n",
+       "0                        []       []  1099209894295678977  ...              \n",
+       "1                        []       []             57777541  ...              \n",
+       "2  [#classicjose, #coverup]       []            346609834  ...              \n",
+       "3                        []       []  1070005555777945600  ...              \n",
+       "4                   [#hugs]       []             48659042  ...              \n",
+       "\n",
+       "  user_rt_id  user_rt retweet_id  \\\n",
+       "0                                  \n",
+       "1                                  \n",
+       "2                                  \n",
+       "3                                  \n",
+       "4                                  \n",
+       "\n",
+       "                                            reply_to  retweet_date  translate  \\\n",
+       "0  [{'user_id': '1099209894295678977', 'username'...                            \n",
+       "1  [{'user_id': '57777541', 'username': 'standtal...                            \n",
+       "2  [{'user_id': '346609834', 'username': '5_Times...                            \n",
+       "3  [{'user_id': '1070005555777945600', 'username'...                            \n",
+       "4  [{'user_id': '48659042', 'username': 'IBdaSwee...                            \n",
+       "\n",
+       "   trans_src  trans_dest  \n",
+       "0                         \n",
+       "1                         \n",
+       "2                         \n",
+       "3                         \n",
+       "4                         \n",
+       "\n",
+       "[5 rows x 33 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>search</th>\n",
+       "      <th>near</th>\n",
+       "      <th>geo</th>\n",
+       "      <th>source</th>\n",
+       "      <th>user_rt_id</th>\n",
+       "      <th>user_rt</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>retweet_date</th>\n",
+       "      <th>translate</th>\n",
+       "      <th>trans_src</th>\n",
+       "      <th>trans_dest</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14558</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1035381762', 'username': 'TessTe...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14559</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '307027730', 'username': 'lightni...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14560</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1151446262312558592', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14561</th>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '25053299', 'username': 'FortuneM...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14562</th>\n",
+       "      <td>4</td>\n",
+       "      <td></td>\n",
+       "      <td>(mask OR masks)</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1078274007542054913', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>14563 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       nretweets quote_url           search near geo source user_rt_id  \\\n",
+       "0              0            (mask OR masks)                              \n",
+       "1              0            (mask OR masks)                              \n",
+       "2              0            (mask OR masks)                              \n",
+       "3              0            (mask OR masks)                              \n",
+       "4              0            (mask OR masks)                              \n",
+       "...          ...       ...              ...  ...  ..    ...        ...   \n",
+       "14558          0            (mask OR masks)                              \n",
+       "14559          0            (mask OR masks)                              \n",
+       "14560          0            (mask OR masks)                              \n",
+       "14561          0            (mask OR masks)                              \n",
+       "14562          4            (mask OR masks)                              \n",
+       "\n",
+       "      user_rt retweet_id                                           reply_to  \\\n",
+       "0                         [{'user_id': '1099209894295678977', 'username'...   \n",
+       "1                         [{'user_id': '57777541', 'username': 'standtal...   \n",
+       "2                         [{'user_id': '346609834', 'username': '5_Times...   \n",
+       "3                         [{'user_id': '1070005555777945600', 'username'...   \n",
+       "4                         [{'user_id': '48659042', 'username': 'IBdaSwee...   \n",
+       "...       ...        ...                                                ...   \n",
+       "14558                     [{'user_id': '1035381762', 'username': 'TessTe...   \n",
+       "14559                     [{'user_id': '307027730', 'username': 'lightni...   \n",
+       "14560                     [{'user_id': '1151446262312558592', 'username'...   \n",
+       "14561                     [{'user_id': '25053299', 'username': 'FortuneM...   \n",
+       "14562                     [{'user_id': '1078274007542054913', 'username'...   \n",
+       "\n",
+       "      retweet_date translate trans_src trans_dest  \n",
+       "0                                                  \n",
+       "1                                                  \n",
+       "2                                                  \n",
+       "3                                                  \n",
+       "4                                                  \n",
+       "...            ...       ...       ...        ...  \n",
+       "14558                                              \n",
+       "14559                                              \n",
+       "14560                                              \n",
+       "14561                                              \n",
+       "14562                                              \n",
+       "\n",
+       "[14563 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.iloc[:, 19:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mask_df_simp = mask_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2020-01-01 18:59:20</td>\n",
+       "      <td>jot_au</td>\n",
+       "      <td>.My daughter has been sick with a nasty cough ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>10</td>\n",
+       "      <td>5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2020-01-01 18:59:20</td>\n",
+       "      <td>EricaLScott</td>\n",
+       "      <td>😺✏ — Aside from butt masks (yes, those exist, ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2020-01-01 18:59:16</td>\n",
+       "      <td>fatxscorpio</td>\n",
+       "      <td>y’all: her energy is something ELSE \\ny’all: p...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2020-01-01 18:59:09</td>\n",
+       "      <td>_HaileyBay_</td>\n",
+       "      <td>We all have some kind of mask. \\nJust how much...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2020-01-01 18:58:57</td>\n",
+       "      <td>Sometimes_Sybil</td>\n",
+       "      <td>The market has moved on. Was given a \"detox sc...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date         username  \\\n",
+       "0  2020-01-01 18:59:56        Matt04181   \n",
+       "1  2020-01-01 18:59:55       standtallx   \n",
+       "2  2020-01-01 18:59:43      5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37    kagura_shelby   \n",
+       "4  2020-01-01 18:59:24       IBdaSweet1   \n",
+       "5  2020-01-01 18:59:20           jot_au   \n",
+       "6  2020-01-01 18:59:20      EricaLScott   \n",
+       "7  2020-01-01 18:59:16      fatxscorpio   \n",
+       "8  2020-01-01 18:59:09      _HaileyBay_   \n",
+       "9  2020-01-01 18:58:57  Sometimes_Sybil   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "5  .My daughter has been sick with a nasty cough ...   \n",
+       "6  😺✏ — Aside from butt masks (yes, those exist, ...   \n",
+       "7  y’all: her energy is something ELSE \\ny’all: p...   \n",
+       "8  We all have some kind of mask. \\nJust how much...   \n",
+       "9  The market has moved on. Was given a \"detox sc...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  \n",
+       "5                        []      10         5    False          7  \n",
+       "6                        []       1         1    False          0  \n",
+       "7                        []       6         1    False          0  \n",
+       "8                        []       1         0    False          1  \n",
+       "9                        []       2         0    False          0  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df_simp.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def search_loop(start_date, end_date, search, username=None, limit=None):\n",
+    "    df = pd.DataFrame()\n",
+    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
+    "    for d in range(len(date_range) - 1):\n",
+    "        since = date_range[d].strftime('%Y-%m-%d')\n",
+    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, limit=limit)\n",
+    "        df = pd.concat([df, day_df])\n",
+    "    df.reset_index(inplace=True)\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_df = search_loop(start_date='2020-01-01',\n",
+    "                       end_date='2020-06-11',\n",
+    "                       search='(mask OR masks) -(ski OR zelda OR majora OR majoras)',\n",
+    "                       username=None,\n",
+    "                       limit=25)\n",
+    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-02 18:59:50</td>\n",
+       "      <td>jaeminhd</td>\n",
+       "      <td>many of the places of my childhood have been b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-02 18:59:47</td>\n",
+       "      <td>MatiasI42363639</td>\n",
+       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-02 18:59:46</td>\n",
+       "      <td>beautyftbless</td>\n",
+       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-02 18:59:44</td>\n",
+       "      <td>DCSportsNexus</td>\n",
+       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-02 18:59:41</td>\n",
+       "      <td>CyclopediaBrain</td>\n",
+       "      <td>What even is the thing in the lower right? A w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2020-01-02 18:59:30</td>\n",
+       "      <td>JadeFindom</td>\n",
+       "      <td>Looking at you makes me feel ill, from now on ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2020-01-02 18:59:17</td>\n",
+       "      <td>magical_pride</td>\n",
+       "      <td>I am also doing another MASKS thing which I am...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2020-01-02 18:58:56</td>\n",
+       "      <td>fary_sarah</td>\n",
+       "      <td>Any visits to Australia again soon? Any mask h...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2020-01-02 18:58:54</td>\n",
+       "      <td>Cinnamonaes</td>\n",
+       "      <td>I’m getting weepy online about Dimitri’s chara...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2020-01-02 18:58:49</td>\n",
+       "      <td>amoralorealis</td>\n",
+       "      <td>Yep, I have an African Mask plant that’s super...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2020-01-02 18:58:45</td>\n",
+       "      <td>exaggerism</td>\n",
+       "      <td>mask my toxicity with less toxicity</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2020-01-02 18:58:35</td>\n",
+       "      <td>liviiraee</td>\n",
+       "      <td>For me, slowing down when cleansing/removing m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2020-01-02 18:58:30</td>\n",
+       "      <td>thinkasklisten</td>\n",
+       "      <td>But it’s misleading. It reads as though there ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2020-01-02 18:58:27</td>\n",
+       "      <td>forrestfireart</td>\n",
+       "      <td>Where's the mask tho?</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2020-01-02 18:58:24</td>\n",
+       "      <td>falsekod</td>\n",
+       "      <td>i firmly believe that at some point in the wri...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2020-01-02 18:58:23</td>\n",
+       "      <td>_Kuro8_</td>\n",
+       "      <td>Where'd you get the Payday mask?</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2020-01-02 18:58:20</td>\n",
+       "      <td>ravenfirefox</td>\n",
+       "      <td>My boss at my daytime job is supplying P2 Mask...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2020-01-02 18:57:59</td>\n",
+       "      <td>orianne_x</td>\n",
+       "      <td>currently sittin with a face mask on lookin li...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2020-01-02 18:57:59</td>\n",
+       "      <td>iamdncollins</td>\n",
+       "      <td>Mom demands recall after Yes To unicorn face m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2020-01-02 18:57:58</td>\n",
+       "      <td>alexhammerstone</td>\n",
+       "      <td>Bunch of guys wearing Halloween masks pitching...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2020-01-02 18:57:51</td>\n",
+       "      <td>BlackMagePY</td>\n",
+       "      <td>Ah yes I remember how terrified they made me i...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2020-01-02 18:57:41</td>\n",
+       "      <td>CamHarvey2</td>\n",
+       "      <td>Everyone around me is getting ill and I’m scar...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2020-01-02 18:57:37</td>\n",
+       "      <td>HendrikRochefo1</td>\n",
+       "      <td>I think that is in the category 'better than n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2020-01-02 18:57:30</td>\n",
+       "      <td>swaggfacee</td>\n",
+       "      <td>Idk why all da fine girls gotta be on pc lmao ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2020-01-02 18:57:28</td>\n",
+       "      <td>Cyberneticist</td>\n",
+       "      <td>Very Interesting! Was the second mask a telepo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>2020-01-02 18:57:23</td>\n",
+       "      <td>juzajelly</td>\n",
+       "      <td>i don't need a doppo face mask to show that i ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>2020-01-02 18:57:22</td>\n",
+       "      <td>LoverBoy_iKon</td>\n",
+       "      <td>I see a Hot toddy, face mask, and warm bath in...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>2020-01-02 18:57:16</td>\n",
+       "      <td>QueenDouble_U</td>\n",
+       "      <td>Putting a face mask while watching Case File n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>2020-01-02 18:57:01</td>\n",
+       "      <td>zombii_yuurei</td>\n",
+       "      <td>😺✏ — oh LOL WHOOPS but also to answer that, my...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>2020-01-02 18:56:57</td>\n",
+       "      <td>FaerieWhings</td>\n",
+       "      <td>His mask is coming off.</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>2020-01-02 18:56:54</td>\n",
+       "      <td>MikeCappella98</td>\n",
+       "      <td>Hey Masae....is Majorca’s Mask good</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>2020-01-02 18:56:50</td>\n",
+       "      <td>theddo96</td>\n",
+       "      <td>We are maybe half an hour to an hour into Vict...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>2020-01-02 18:56:50</td>\n",
+       "      <td>kswanti</td>\n",
+       "      <td>thats bc they r DUMB why does he PUFF UP LIKE ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>2020-01-02 18:56:39</td>\n",
+       "      <td>zootcar_ebooks</td>\n",
+       "      <td>The recording of Trout Mask Replica  https://t...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>2020-01-02 18:56:24</td>\n",
+       "      <td>hadyoubigtime</td>\n",
+       "      <td>walking out of my local cvs with a bronchitis ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>2020-01-02 18:56:11</td>\n",
+       "      <td>JojoEnSurvet</td>\n",
+       "      <td>The Mask reste et restera mon film favoris all...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2020-01-02 18:56:06</td>\n",
+       "      <td>SamBisePoet</td>\n",
+       "      <td>My resolution is to follow my curiosities wher...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2020-01-02 18:55:53</td>\n",
+       "      <td>BonnyMsB</td>\n",
+       "      <td>Fire blankets, extinguishers, P2 masks and doo...</td>\n",
+       "      <td>[#canberrasmoke, #nswfires, #australiaburns]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2020-01-02 18:55:34</td>\n",
+       "      <td>krzhope</td>\n",
+       "      <td>Oh no. Keep safe. Maybe you should wear mask n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>2020-01-02 18:55:30</td>\n",
+       "      <td>PenceElectric</td>\n",
+       "      <td>Californians tried and failed countless times ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-03 18:59:58</td>\n",
+       "      <td>xoulis2004</td>\n",
+       "      <td>Not even.....for letting you know i have the m...</td>\n",
+       "      <td>[#kukluxklan]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-03 18:59:32</td>\n",
+       "      <td>TheEljayJohnsen</td>\n",
+       "      <td>The current one is very easy to breath in. I c...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-03 18:59:29</td>\n",
+       "      <td>mernino2k2</td>\n",
+       "      <td>It was just a thought. When the aura comes, th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-03 18:59:19</td>\n",
+       "      <td>Mask_310</td>\n",
+       "      <td>Remember when everyone used  http://ask.fm  ? 😂</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-03 18:59:08</td>\n",
+       "      <td>RepassBrian18</td>\n",
+       "      <td>Loved the maroon, white, orange.  really wish ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2020-01-03 18:59:06</td>\n",
+       "      <td>MammyRaging</td>\n",
+       "      <td>With all due respect, we're a country mirrorin...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2020-01-03 18:58:59</td>\n",
+       "      <td>beracing18</td>\n",
+       "      <td>He needs to ponce around in a Jacinda Ardern m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2020-01-03 18:58:42</td>\n",
+       "      <td>killer_kriss</td>\n",
+       "      <td>Im not mad. It was supposed to be a gas mask b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2020-01-03 18:58:24</td>\n",
+       "      <td>ILoveEvilEnigma</td>\n",
+       "      <td>Seems to be. And the only one who posted it to...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2020-01-03 18:58:21</td>\n",
+       "      <td>longhair3000</td>\n",
+       "      <td>I really am...seriously....CONSIDERING...payin...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   date         username  \\\n",
+       "0   2020-01-02 18:59:50         jaeminhd   \n",
+       "1   2020-01-02 18:59:47  MatiasI42363639   \n",
+       "2   2020-01-02 18:59:46    beautyftbless   \n",
+       "3   2020-01-02 18:59:44    DCSportsNexus   \n",
+       "4   2020-01-02 18:59:41  CyclopediaBrain   \n",
+       "5   2020-01-02 18:59:30       JadeFindom   \n",
+       "6   2020-01-02 18:59:17    magical_pride   \n",
+       "7   2020-01-02 18:58:56       fary_sarah   \n",
+       "8   2020-01-02 18:58:54      Cinnamonaes   \n",
+       "9   2020-01-02 18:58:49    amoralorealis   \n",
+       "10  2020-01-02 18:58:45       exaggerism   \n",
+       "11  2020-01-02 18:58:35        liviiraee   \n",
+       "12  2020-01-02 18:58:30   thinkasklisten   \n",
+       "13  2020-01-02 18:58:27   forrestfireart   \n",
+       "14  2020-01-02 18:58:24         falsekod   \n",
+       "15  2020-01-02 18:58:23          _Kuro8_   \n",
+       "16  2020-01-02 18:58:20     ravenfirefox   \n",
+       "17  2020-01-02 18:57:59        orianne_x   \n",
+       "18  2020-01-02 18:57:59     iamdncollins   \n",
+       "19  2020-01-02 18:57:58  alexhammerstone   \n",
+       "20  2020-01-02 18:57:51      BlackMagePY   \n",
+       "21  2020-01-02 18:57:41       CamHarvey2   \n",
+       "22  2020-01-02 18:57:37  HendrikRochefo1   \n",
+       "23  2020-01-02 18:57:30       swaggfacee   \n",
+       "24  2020-01-02 18:57:28    Cyberneticist   \n",
+       "25  2020-01-02 18:57:23        juzajelly   \n",
+       "26  2020-01-02 18:57:22    LoverBoy_iKon   \n",
+       "27  2020-01-02 18:57:16    QueenDouble_U   \n",
+       "28  2020-01-02 18:57:01    zombii_yuurei   \n",
+       "29  2020-01-02 18:56:57     FaerieWhings   \n",
+       "30  2020-01-02 18:56:54   MikeCappella98   \n",
+       "31  2020-01-02 18:56:50         theddo96   \n",
+       "32  2020-01-02 18:56:50          kswanti   \n",
+       "33  2020-01-02 18:56:39   zootcar_ebooks   \n",
+       "34  2020-01-02 18:56:24    hadyoubigtime   \n",
+       "35  2020-01-02 18:56:11     JojoEnSurvet   \n",
+       "36  2020-01-02 18:56:06      SamBisePoet   \n",
+       "37  2020-01-02 18:55:53         BonnyMsB   \n",
+       "38  2020-01-02 18:55:34          krzhope   \n",
+       "39  2020-01-02 18:55:30    PenceElectric   \n",
+       "0   2020-01-03 18:59:58       xoulis2004   \n",
+       "1   2020-01-03 18:59:32  TheEljayJohnsen   \n",
+       "2   2020-01-03 18:59:29       mernino2k2   \n",
+       "3   2020-01-03 18:59:19         Mask_310   \n",
+       "4   2020-01-03 18:59:08    RepassBrian18   \n",
+       "5   2020-01-03 18:59:06      MammyRaging   \n",
+       "6   2020-01-03 18:58:59       beracing18   \n",
+       "7   2020-01-03 18:58:42     killer_kriss   \n",
+       "8   2020-01-03 18:58:24  ILoveEvilEnigma   \n",
+       "9   2020-01-03 18:58:21     longhair3000   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "0   many of the places of my childhood have been b...   \n",
+       "1   It really bothers me that in TLJ Kylo killed S...   \n",
+       "2   For combination skin try: \\n* The pore cleansi...   \n",
+       "3   Who else was shocked when the Mandalorian remo...   \n",
+       "4   What even is the thing in the lower right? A w...   \n",
+       "5   Looking at you makes me feel ill, from now on ...   \n",
+       "6   I am also doing another MASKS thing which I am...   \n",
+       "7   Any visits to Australia again soon? Any mask h...   \n",
+       "8   I’m getting weepy online about Dimitri’s chara...   \n",
+       "9   Yep, I have an African Mask plant that’s super...   \n",
+       "10                mask my toxicity with less toxicity   \n",
+       "11  For me, slowing down when cleansing/removing m...   \n",
+       "12  But it’s misleading. It reads as though there ...   \n",
+       "13                              Where's the mask tho?   \n",
+       "14  i firmly believe that at some point in the wri...   \n",
+       "15                   Where'd you get the Payday mask?   \n",
+       "16  My boss at my daytime job is supplying P2 Mask...   \n",
+       "17  currently sittin with a face mask on lookin li...   \n",
+       "18  Mom demands recall after Yes To unicorn face m...   \n",
+       "19  Bunch of guys wearing Halloween masks pitching...   \n",
+       "20  Ah yes I remember how terrified they made me i...   \n",
+       "21  Everyone around me is getting ill and I’m scar...   \n",
+       "22  I think that is in the category 'better than n...   \n",
+       "23  Idk why all da fine girls gotta be on pc lmao ...   \n",
+       "24  Very Interesting! Was the second mask a telepo...   \n",
+       "25  i don't need a doppo face mask to show that i ...   \n",
+       "26  I see a Hot toddy, face mask, and warm bath in...   \n",
+       "27  Putting a face mask while watching Case File n...   \n",
+       "28  😺✏ — oh LOL WHOOPS but also to answer that, my...   \n",
+       "29                            His mask is coming off.   \n",
+       "30                Hey Masae....is Majorca’s Mask good   \n",
+       "31  We are maybe half an hour to an hour into Vict...   \n",
+       "32  thats bc they r DUMB why does he PUFF UP LIKE ...   \n",
+       "33  The recording of Trout Mask Replica  https://t...   \n",
+       "34  walking out of my local cvs with a bronchitis ...   \n",
+       "35  The Mask reste et restera mon film favoris all...   \n",
+       "36  My resolution is to follow my curiosities wher...   \n",
+       "37  Fire blankets, extinguishers, P2 masks and doo...   \n",
+       "38  Oh no. Keep safe. Maybe you should wear mask n...   \n",
+       "39  Californians tried and failed countless times ...   \n",
+       "0   Not even.....for letting you know i have the m...   \n",
+       "1   The current one is very easy to breath in. I c...   \n",
+       "2   It was just a thought. When the aura comes, th...   \n",
+       "3     Remember when everyone used  http://ask.fm  ? 😂   \n",
+       "4   Loved the maroon, white, orange.  really wish ...   \n",
+       "5   With all due respect, we're a country mirrorin...   \n",
+       "6   He needs to ponce around in a Jacinda Ardern m...   \n",
+       "7   Im not mad. It was supposed to be a gas mask b...   \n",
+       "8   Seems to be. And the only one who posted it to...   \n",
+       "9   I really am...seriously....CONSIDERING...payin...   \n",
+       "\n",
+       "                                        hashtags  nlikes  nreplies  retweet  \\\n",
+       "0                                             []       1         1    False   \n",
+       "1                                             []       0         0    False   \n",
+       "2                                             []       0         0    False   \n",
+       "3                                             []       3         0    False   \n",
+       "4                                             []       9         3    False   \n",
+       "5                                             []       6         0    False   \n",
+       "6                                             []       1         0    False   \n",
+       "7                                             []       0         0    False   \n",
+       "8                                             []       0         0    False   \n",
+       "9                                             []       1         0    False   \n",
+       "10                                            []       0         0    False   \n",
+       "11                                            []       0         0    False   \n",
+       "12                                            []       4         1    False   \n",
+       "13                                            []       0         1    False   \n",
+       "14                                            []       1         1    False   \n",
+       "15                                            []       1         1    False   \n",
+       "16                                            []       0         0    False   \n",
+       "17                                            []       4         0    False   \n",
+       "18                                            []       0         0    False   \n",
+       "19                                            []       5         1    False   \n",
+       "20                                            []       0         0    False   \n",
+       "21                                            []       4         1    False   \n",
+       "22                                            []       1         0    False   \n",
+       "23                                            []       7         0    False   \n",
+       "24                                            []       0         1    False   \n",
+       "25                                            []       1         1    False   \n",
+       "26                                            []       0         1    False   \n",
+       "27                                            []       0         0    False   \n",
+       "28                                            []       0         0    False   \n",
+       "29                                            []       1         0    False   \n",
+       "30                                            []       0         0    False   \n",
+       "31                                            []      12         1    False   \n",
+       "32                                            []       1         1    False   \n",
+       "33                                            []       0         0    False   \n",
+       "34                                            []       7         0    False   \n",
+       "35                                            []       2         0    False   \n",
+       "36                                            []       0         0    False   \n",
+       "37  [#canberrasmoke, #nswfires, #australiaburns]       1         0    False   \n",
+       "38                                            []       1         1    False   \n",
+       "39                                            []       0         0    False   \n",
+       "0                                  [#kukluxklan]       0         0    False   \n",
+       "1                                             []       6         2    False   \n",
+       "2                                             []       0         0    False   \n",
+       "3                                             []       1         0    False   \n",
+       "4                                             []       4         1    False   \n",
+       "5                                             []       5         2    False   \n",
+       "6                                             []       0         0    False   \n",
+       "7                                             []       0         0    False   \n",
+       "8                                             []       2         0    False   \n",
+       "9                                             []       0         0    False   \n",
+       "\n",
+       "    nretweets  \n",
+       "0           0  \n",
+       "1           0  \n",
+       "2           0  \n",
+       "3           0  \n",
+       "4           0  \n",
+       "5           4  \n",
+       "6           0  \n",
+       "7           0  \n",
+       "8           0  \n",
+       "9           0  \n",
+       "10          0  \n",
+       "11          0  \n",
+       "12          3  \n",
+       "13          0  \n",
+       "14          0  \n",
+       "15          0  \n",
+       "16          0  \n",
+       "17          0  \n",
+       "18          0  \n",
+       "19          1  \n",
+       "20          0  \n",
+       "21          0  \n",
+       "22          0  \n",
+       "23          3  \n",
+       "24          0  \n",
+       "25          0  \n",
+       "26          0  \n",
+       "27          0  \n",
+       "28          0  \n",
+       "29          0  \n",
+       "30          0  \n",
+       "31          1  \n",
+       "32          0  \n",
+       "33          0  \n",
+       "34          0  \n",
+       "35          0  \n",
+       "36          0  \n",
+       "37          1  \n",
+       "38          0  \n",
+       "39          0  \n",
+       "0           0  \n",
+       "1           0  \n",
+       "2           0  \n",
+       "3           0  \n",
+       "4           0  \n",
+       "5           2  \n",
+       "6           0  \n",
+       "7           0  \n",
+       "8           0  \n",
+       "9           0  "
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']][40:90]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 8)"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks = masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]\n",
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>2020-01-01 18:56:32</td>\n",
+       "      <td>PaigeHollmeyee</td>\n",
+       "      <td>Okay maybe I spoke too soon because he took ca...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2020-01-01 18:56:02</td>\n",
+       "      <td>KawainessStore</td>\n",
+       "      <td>Happy New Year!\\n\\nattack masks link below\\n h...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>34</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>Founding_stock</td>\n",
+       "      <td>Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>ZeRealPlagueDoc</td>\n",
+       "      <td>If any Plague Doctor has this mask on, they ar...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>2020-01-01 18:55:37</td>\n",
+       "      <td>trishtweety</td>\n",
+       "      <td>Awww, GS should have sent them gas masks, the ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-02 18:59:50</td>\n",
+       "      <td>jaeminhd</td>\n",
+       "      <td>many of the places of my childhood have been b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-02 18:59:47</td>\n",
+       "      <td>MatiasI42363639</td>\n",
+       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-02 18:59:46</td>\n",
+       "      <td>beautyftbless</td>\n",
+       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-02 18:59:44</td>\n",
+       "      <td>DCSportsNexus</td>\n",
+       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-02 18:59:41</td>\n",
+       "      <td>CyclopediaBrain</td>\n",
+       "      <td>What even is the thing in the lower right? A w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   date         username  \\\n",
+       "35  2020-01-01 18:56:32   PaigeHollmeyee   \n",
+       "36  2020-01-01 18:56:02   KawainessStore   \n",
+       "37  2020-01-01 18:55:40   Founding_stock   \n",
+       "38  2020-01-01 18:55:40  ZeRealPlagueDoc   \n",
+       "39  2020-01-01 18:55:37      trishtweety   \n",
+       "0   2020-01-02 18:59:50         jaeminhd   \n",
+       "1   2020-01-02 18:59:47  MatiasI42363639   \n",
+       "2   2020-01-02 18:59:46    beautyftbless   \n",
+       "3   2020-01-02 18:59:44    DCSportsNexus   \n",
+       "4   2020-01-02 18:59:41  CyclopediaBrain   \n",
+       "\n",
+       "                                                tweet hashtags  nlikes  \\\n",
+       "35  Okay maybe I spoke too soon because he took ca...       []       3   \n",
+       "36  Happy New Year!\\n\\nattack masks link below\\n h...       []      34   \n",
+       "37  Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...       []       1   \n",
+       "38  If any Plague Doctor has this mask on, they ar...       []       2   \n",
+       "39  Awww, GS should have sent them gas masks, the ...       []       5   \n",
+       "0   many of the places of my childhood have been b...       []       1   \n",
+       "1   It really bothers me that in TLJ Kylo killed S...       []       0   \n",
+       "2   For combination skin try: \\n* The pore cleansi...       []       0   \n",
+       "3   Who else was shocked when the Mandalorian remo...       []       3   \n",
+       "4   What even is the thing in the lower right? A w...       []       9   \n",
+       "\n",
+       "    nreplies  retweet  nretweets  \n",
+       "35         0    False          0  \n",
+       "36         0    False          3  \n",
+       "37         1    False          0  \n",
+       "38         0    False          0  \n",
+       "39         0    False          0  \n",
+       "0          1    False          0  \n",
+       "1          0    False          0  \n",
+       "2          0    False          0  \n",
+       "3          0    False          0  \n",
+       "4          3    False          0  "
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks[35:45]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>2020-01-01 18:56:32</td>\n",
+       "      <td>PaigeHollmeyee</td>\n",
+       "      <td>Okay maybe I spoke too soon because he took ca...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2020-01-01 18:56:02</td>\n",
+       "      <td>KawainessStore</td>\n",
+       "      <td>Happy New Year!\\n\\nattack masks link below\\n h...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>34</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>Founding_stock</td>\n",
+       "      <td>Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>ZeRealPlagueDoc</td>\n",
+       "      <td>If any Plague Doctor has this mask on, they ar...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>2020-01-01 18:55:37</td>\n",
+       "      <td>trishtweety</td>\n",
+       "      <td>Awww, GS should have sent them gas masks, the ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>2020-01-02 18:59:50</td>\n",
+       "      <td>jaeminhd</td>\n",
+       "      <td>many of the places of my childhood have been b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>2020-01-02 18:59:47</td>\n",
+       "      <td>MatiasI42363639</td>\n",
+       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>2020-01-02 18:59:46</td>\n",
+       "      <td>beautyftbless</td>\n",
+       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>2020-01-02 18:59:44</td>\n",
+       "      <td>DCSportsNexus</td>\n",
+       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>2020-01-02 18:59:41</td>\n",
+       "      <td>CyclopediaBrain</td>\n",
+       "      <td>What even is the thing in the lower right? A w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   date         username  \\\n",
+       "35  2020-01-01 18:56:32   PaigeHollmeyee   \n",
+       "36  2020-01-01 18:56:02   KawainessStore   \n",
+       "37  2020-01-01 18:55:40   Founding_stock   \n",
+       "38  2020-01-01 18:55:40  ZeRealPlagueDoc   \n",
+       "39  2020-01-01 18:55:37      trishtweety   \n",
+       "40  2020-01-02 18:59:50         jaeminhd   \n",
+       "41  2020-01-02 18:59:47  MatiasI42363639   \n",
+       "42  2020-01-02 18:59:46    beautyftbless   \n",
+       "43  2020-01-02 18:59:44    DCSportsNexus   \n",
+       "44  2020-01-02 18:59:41  CyclopediaBrain   \n",
+       "\n",
+       "                                                tweet hashtags  nlikes  \\\n",
+       "35  Okay maybe I spoke too soon because he took ca...       []       3   \n",
+       "36  Happy New Year!\\n\\nattack masks link below\\n h...       []      34   \n",
+       "37  Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...       []       1   \n",
+       "38  If any Plague Doctor has this mask on, they ar...       []       2   \n",
+       "39  Awww, GS should have sent them gas masks, the ...       []       5   \n",
+       "40  many of the places of my childhood have been b...       []       1   \n",
+       "41  It really bothers me that in TLJ Kylo killed S...       []       0   \n",
+       "42  For combination skin try: \\n* The pore cleansi...       []       0   \n",
+       "43  Who else was shocked when the Mandalorian remo...       []       3   \n",
+       "44  What even is the thing in the lower right? A w...       []       9   \n",
+       "\n",
+       "    nreplies  retweet  nretweets  \n",
+       "35         0    False          0  \n",
+       "36         0    False          3  \n",
+       "37         1    False          0  \n",
+       "38         0    False          0  \n",
+       "39         0    False          0  \n",
+       "40         1    False          0  \n",
+       "41         0    False          0  \n",
+       "42         0    False          0  \n",
+       "43         0    False          0  \n",
+       "44         3    False          0  "
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.reset_index(drop=True, inplace=True)\n",
+    "masks[35:45]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [date, username, tweet, hashtags, nlikes, nreplies, retweet, nretweets, polarity, subjectivity]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks[masks.retweet == True]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'SpongeBob: slides down Sand Mountain\\nThe tree in the oxygen mask:  pic.twitter.com/1evndouW3Y'"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_tweet = masks.loc[0, 'tweet']\n",
+    "test_tweet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import nltk\n",
+    "from textblob import TextBlob"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sentiment(polarity=-0.15555555555555559, subjectivity=0.2888888888888889)"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test = TextBlob(test_tweet)\n",
+    "test.sentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.15555555555555559"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "TextBlob(test_tweet).sentiment.polarity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity  \n",
+       "0      0.288889  \n",
+       "1      0.425000  \n",
+       "2      0.000000  \n",
+       "3      0.000000  \n",
+       "4      0.648409  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
+    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dtype('O')"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts['date'].dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 date  polarity  subjectivity\n",
+       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
+       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
+       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
+       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
+       "4 2020-01-01 18:59:24  0.271591      0.648409"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
+    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
+    "masks_ts.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
+       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
+       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
+       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
+       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
+       "               ...\n",
+       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
+       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
+       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
+       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts.set_index('date', inplace=True)\n",
+    "masks_ts.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.004358</td>\n",
+       "      <td>0.369293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>-0.001089</td>\n",
+       "      <td>0.379444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.111727</td>\n",
+       "      <td>0.440448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.040365</td>\n",
+       "      <td>0.383991</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.047351</td>\n",
+       "      <td>0.418947</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            polarity  subjectivity\n",
+       "date                              \n",
+       "2020-01-01  0.004358      0.369293\n",
+       "2020-01-02 -0.001089      0.379444\n",
+       "2020-01-03  0.111727      0.440448\n",
+       "2020-01-04  0.040365      0.383991\n",
+       "2020-01-05  0.047351      0.418947"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts_daily = masks_ts.resample('D').mean()\n",
+    "masks_ts_daily.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sentiment(polarity=0.0, subjectivity=0.0)"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_tweet = masks.loc[2, 'tweet']\n",
+    "test = TextBlob(test_tweet)\n",
+    "test.sentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(test_tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "testimonial = TextBlob(\"Textblob is amazingly simple to use. What great fun!\")\n",
+    ">>> testimonial.sentiment\n",
+    "Sentiment(polarity=0.39166666666666666, subjectivity=0.4357142857142857)\n",
+    ">>> testimonial.sentiment.polarity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['EDT'], dtype=object)"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.drop('id', 'conversation_id', 'created_at', 'timezone', 'place', 'cashtags', 'geo', 'source', 'user_rt_id', 'user_rt', 'retweet_id', 'retweet_date', 'translate', 'trans_src')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "unhashable type: 'list'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-17-c50c5a321dd0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmask_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcashtags\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1814\u001b[0m         \u001b[0mCategories\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mb\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1815\u001b[0m         \"\"\"\n\u001b[0;32m-> 1816\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1817\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1818\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/base.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1244\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1245\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1246\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munique1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1247\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1248\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/algorithms.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    380\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    381\u001b[0m     \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhtable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 382\u001b[0;31m     \u001b[0muniques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    383\u001b[0m     \u001b[0muniques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_reconstruct_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muniques\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moriginal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moriginal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    384\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0muniques\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.unique\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable._unique\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
+     ]
+    }
+   ],
+   "source": [
+    "mask_df.cashtags.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "12992"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(mask_df['date'].unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-01-01'"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df['date'][0][0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'18:59:56'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df['date'][0][11:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime\n",
+    "\n",
+    "dates = []\n",
+    "start_date = datetime.date(2020, 1, 1)\n",
+    "end_date = datetime.date(2020, 6, 11)\n",
+    "delta = datetime.timedelta(days=1)\n",
+    "\n",
+    "while start_date <= end_date:\n",
+    "    dates.append(str(start_date))\n",
+    "    start_date += delta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-04-10'"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dates[100]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-04-10'"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "str(dates[100])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "163"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "75"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "regex = \"#[mM]ask\"\n",
+    "series = masks[\"tweet\"]\n",
+    "test = series.str.contains(regex)\n",
+    "test.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "121     Oh how I would love if a fellow silicone maske...\n",
+       "266     It's happening! Lucy's Noelle sculpt is starti...\n",
+       "374     The mask for my new DnD character came 😍🤙🏻 #ma...\n",
+       "843     Prepping Hair ASMR Chewing Gum | Trying Collag...\n",
+       "976     Top Trumps! #trump #mask #maskedsinger #presid...\n",
+       "                              ...                        \n",
+       "6036    My idiot Governor ( @GovernorVA ) issued an ex...\n",
+       "6101    #Kobe & #GiGi custom #Mask 😷  pic.twitter.com/...\n",
+       "6163    @realDonaldTrump Please hold the Republican co...\n",
+       "6285    Please check out @WHO guidelines on mask weari...\n",
+       "6474    📺Masks on!📺@AZManufacturing's @agilbreath_az a...\n",
+       "Name: tweet, Length: 75, dtype: object"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks[masks['tweet'].str.contains(r'#[mM]ask')]['tweet']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply a first round of text cleaning techniques\n",
+    "import re\n",
+    "import string\n",
+    "\n",
+    "def clean_text_round1(text):\n",
+    "    '''Make text lowercase, remove text in square brackets, remove punctuation and remove words containing numbers.'''\n",
+    "    text = text.lower()\n",
+    "    text = re.sub('\\[.*?\\]', '', text)\n",
+    "    text = re.sub('[%s]' % re.escape(string.punctuation), '', text)\n",
+    "    text = re.sub('\\w*\\d\\w*', '', text)\n",
+    "    return text\n",
+    "\n",
+    "round1 = lambda x: clean_text_round1(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[\".My daughter has been sick with a nasty cough for weeks\\nShe ignores my advice about wearing a mask\\nCan any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\",\n",
+       " \"😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159\\xa0…\",\n",
+       " 'y’all: her energy is something ELSE \\ny’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on',\n",
+       " 'We all have some kind of mask. \\nJust how much of one,\\nThat’s different for each of us.  pic.twitter.com/BkoMZ98rlo',\n",
+       " 'The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.']"
+      ]
+     },
+     "execution_count": 118,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tweets = [tweet for tweet in masks['tweet']]\n",
+    "tweets[5:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "{'neg': 0.099, 'neu': 0.901, 'pos': 0.0, 'compound': -0.431}\n",
+      "{'neg': 0.119, 'neu': 0.881, 'pos': 0.0, 'compound': -0.3182}\n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "{'neg': 0.143, 'neu': 0.584, 'pos': 0.273, 'compound': 0.9178}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "for tweet in tweets[:5]:\n",
+    "    vs = analyzer.polarity_scores(tweet)\n",
+    "    print(f\"{str(vs)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SpongeBob: slides down Sand Mountain\n",
+      "The tree in the oxygen mask:  pic.twitter.com/1evndouW3Y\n",
+      "Started 2020 with freshly washed bed sheets, a face mask, and beginning to think about getting my shit back together again. Long way to go, and face masks ain’t gonna cut it, but they’re a canny start.\n",
+      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n",
+      "The mask  pic.twitter.com/vHi9pC9S62\n",
+      "I know what you mean, I've been depressed too but I just mask my pain to let others be happy with themselves lol Rough holiday season 4 me, Thanksgiving, Christmas & now New Years Day alone for the majority of em, gotta keep pushin, never give up! \n",
+      "\n",
+      " 🎉🥳🎊*****#hugs*****🎊🥳🎉\n",
+      ".My daughter has been sick with a nasty cough for weeks\n",
+      "She ignores my advice about wearing a mask\n",
+      "Can any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\n",
+      "😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159 …\n",
+      "y’all: her energy is something ELSE \n",
+      "y’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on\n",
+      "We all have some kind of mask. \n",
+      "Just how much of one,\n",
+      "That’s different for each of us.  pic.twitter.com/BkoMZ98rlo\n",
+      "The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[:10]:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 10)"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def mask_noun_finder(text):\n",
+    "    pos = TextBlob(text)\n",
+    "    for tag in pos.tags:\n",
+    "        if 'mask' in tag[0]:\n",
+    "            return tag[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "      <th>pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity pos  \n",
+       "0      0.288889  NN  \n",
+       "1      0.425000  NN  \n",
+       "2      0.000000  VB  \n",
+       "3      0.000000  NN  \n",
+       "4      0.648409  VB  "
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['pos'] = masks['tweet'].apply(mask_noun_finder)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "NN     0.541166\n",
+       "NNS    0.384220\n",
+       "JJ     0.027616\n",
+       "VB     0.022642\n",
+       "VBZ    0.007547\n",
+       "VBP    0.004974\n",
+       "VBN    0.003602\n",
+       "VBD    0.002916\n",
+       "NNP    0.001715\n",
+       "SYM    0.000858\n",
+       "VBG    0.000686\n",
+       "FW     0.000686\n",
+       "RB     0.000515\n",
+       "PRP    0.000343\n",
+       "IN     0.000343\n",
+       "JJR    0.000172\n",
+       "Name: pos, dtype: float64"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.pos.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.042367"
+      ]
+     },
+     "execution_count": 140,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "0.022642+0.007547+0.004974+0.003602+0.002916+0.000686"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Any visits to Australia again soon? Any mask hiding we should know about 😱😂😘\n",
+      "Jim Jordan Pulls Off Pelosi's Impeachment Mask - 3 Pieces Of Evidence Show Her Plan Has Fallen Apart  https://gopdailybrief.com/jordan-pelosi-impeachment-mask/ …\n",
+      "I can’t wait until @Pestily ‘s mask gets put in the game. That will stay in my stash forever too 🤣\n",
+      "I thought it was those mask guys from Masters  pic.twitter.com/sePJ8sZtIY\n",
+      "Reading @meet_cleo roast me on my @tjmaxx sheet mask obsession like:  pic.twitter.com/eyvruptkzE\n",
+      "Hair mask time with a glass of wine🥴\n",
+      "ENVIE MILK HAIR MASK AND HAIR SHAMPOO 250ML  https://hairdyecoloruk.wordpress.com/2020/01/13/envie-milk-hair-mask-and-hair-shampoo-250ml-6/ … pic.twitter.com/wTKRktVTgo\n",
+      "ENVIE COLLAGENE AFTER COLOR HAIR MASK 1000ML  https://hairdyecoloruk.wordpress.com/2020/01/13/envie-collagene-after-color-hair-mask-1000ml-4/ … pic.twitter.com/YadAEzYvwQ\n",
+      "Fall In Love With This Miracle Eye Mask  https://www.bloglovin.com/blogs/filling-blanksr-14421519/fall-in-love-with-this-miracle-eye-mask-7282562957 … on @bloglovin\n",
+      "what would you do if, in the final of masked singer, queen bee took her mask off and it was... the honest vocal coach!\n",
+      "Whipped Priming Masks  https://www.trendhunter.com/trends/green-goddess-sleeping-mask … #Fashion pic.twitter.com/H4UTRPL1Fu\n",
+      "Yes To Inc. Issues Voluntary Recall of Product Due to Skin Irritation Complaints ‘Grapefruit Vitamin C Glow Boosting Unicorn Paper Mask’  https://masscentral.com/yes-to-inc-issues-voluntary-recall-of-product-due-to-skin-irritation-complaints-grapefruit-vitamin-c-glow-boosting-unicorn-paper-mask/ … pic.twitter.com/Jd9eOCRcpl\n",
+      "Cardi B's Blinged-Out Mask Took 36 Hours, Cost About $7,000 via @TMZ #I♥️It http://www.tmz.com/2020/01/17/cardi-b-mask-blinged-out-paris-fashion-show-couture …\n",
+      "Blush oils mask\n",
+      "#PUSHAwardsMaharrrrs\n",
+      "#FumiyaSankai\n",
+      "@fumfumfum3\n",
+      "help me out bro, I'm looking through your tweets and don't see a single one where you are concerned about antifa and them violating mask laws.\n",
+      "Someone give me some face mask recommendations\n",
+      "Mask up?\n",
+      " https://www.wweek.com/news/courts/2020/01/22/rioting-protesters-wearing-masks-could-face-up-to-10-years-in-prison-under-new-oregon-senate-bill/?fbclid=IwAR2sfUdgsCNj3qD42jJ2VdpALRe_L3vgNx1MeUQjLb-XfzDzKEiJjBYOtCk …\n",
+      "HKSAR gov’s trying “hard” to fight #WuhanPneumonia:\n",
+      "1. Appeal against court’s decision of unconstitutional anti-mask law;\n",
+      "2. Toll-free access via Hong Kong-Zhuhai-Macau Bridge;\n",
+      "3. To receive #Wuhan trains and flights, train passengers need not to do health declaration.\n",
+      "Speechless https://twitter.com/simonshen_glos/status/1220049638012534787 …\n",
+      "Many in China wear Them, however Do Masks Block Coronavirus?->  https://newsmim.com/many-in-china-wear-them-however-do-masks-block-coronavirus.html …\n",
+      "#News #Breaking_News #Breaking #Latest - pic.twitter.com/gn2HOhC3pX\n",
+      "Jim Carrey Will Do The Mask 2 Only Under One Specific Circumstance  https://movieweb.com/the-mask-2-jim-carrey/ …\n",
+      "Mad we missed out on those scenes only because they made Goten & Trunks support only.\n",
+      "\n",
+      "Goten vs Trunks was a fun fight, coulda had some mighty mask side stuff as well.\n",
+      "\n",
+      "Trunks side mission where you search DBs while Goku is transforming instead of a 5s transforming scene  pic.twitter.com/Q4wPyNzPGT\n",
+      "JIM CARREY Says He Will Do a MASK Sequel Under This Condition\n",
+      " https://comicbook.com/movies/2020/01/24/jim-carrey-says-he-will-do-a-mask-sequel-under-this-condition/ … pic.twitter.com/8ZCyjuqEIV\n",
+      "Tipe : kombi to oily\n",
+      "Face wash : senka perfect white clay\n",
+      "Toner : wardah primary skin hidrating booster\n",
+      "Moisturizer : emina bright stuff\n",
+      "Ss : blm nemu yg cocok (mau coba nivea)\n",
+      "Milk cleanser : viva greentea\n",
+      "Masker : garnier yoghurt sleeping mask\n",
+      "Exfo : -\n",
+      "[Cashel Crusader Standard Fly Mask No Ears or Nose - Size: Horse] has been posted on  https://www.tobem.com/petsazon/cashel-crusader-standard-fly-mask-no-ears-or-nose-size-horse/ … - Buy Cashel Crusader Standard Horse Fly Mask No Ears or Nose: Masks – ✓ FREE DELIVERY possible on eligible purchases  pic.twitter.com/7uhdrv6uJA\n",
+      "hope wear mask become standard - thwart facial recognition\n",
+      "Food, Sanitizers and Mask Supplies Getting WIPED OUT Across America as Fears Rise of Coronavirus Quarantines in the USA  https://www.naturalnews.com/2020-01-27-food-sanitizers-mask-supplies-wiped-out-quarantines-wuhan-coronavirus.html …\n",
+      "There's an anti-mask law??\n",
+      "Can't rule out if that's HK customs problem, Gmarket's problem, or Korean customs/shops problem just based on this message, evidence insufficient.\n",
+      "\n",
+      "But when Taiwan begun to limit mask exports saving them for local demand, expect other countries follow.\n",
+      "Would it be so difficult for you guys to wear mask n glasses at the meeting - since you already know it's asymptomatic for 2 weeks!\n",
+      "Face Masks: What Doctors Say About Their Role In Containing Coronavirus  https://www.npr.org/sections/goatsandsoda/2020/01/29/800531753/face-masks-what-doctors-say-about-their-role-in-containing-coronavirus?utm_campaign=storyshare&utm_source=twitter.com&utm_medium=social …\n",
+      "Coronavirus Explained: Everything You Wanted To Know But Were Afraid To Lift Your Mask To Ask | Zero Hedge  https://www.zerohedge.com/health/coronavirus-explained-everything-you-wanted-know-were-afraid-lift-your-mask-ask …\n",
+      "I can’t either. He was feeling that mask way to much.\n",
+      "So masks clearly help you not spread germs, but do they even do anything to keep you from getting sick? Unless you are worried about people coughing directly in your open mouth, what do they even do?\n",
+      "not even going but i dont think this masks thing is a bad idea at all. id rather be safe than sorry, i know its all for precautions.. but can subk at least provide the masks??\n",
+      "NTs feel threatened by you unmasking and ceasing to hide your autism. They think you’re becoming more autistic when in reality you’re letting it show instead of stifling it. They try to shame and coerce you back into your mask. Keep it off anyway!!!\n",
+      "Coronavirus N95 Face Mask  https://www.modernbeyond.com/products/coronavirus-n95-filter-mask …\n",
+      "20200208. D-331🌠\n",
+      "Have a fun Saturday... Do not forget to wear mask 😷 if you are going out.. Otherwise have fun indoors.. 😉😄\n",
+      "@ZEA_Hyungsik\n",
+      " http://www.hyungsikness.com \n",
+      "#parkhyungsik #박형식 #パクヒョンシク #朴炯植 #hyungsik #hyungsikness…  https://www.instagram.com/p/B8SPLWQpnYR/?igshid=ezn85d4t1o26 …\n",
+      "Chinese Woman Attacked In NYC For Wearing Face Mask – Here’s Why It Wasn’t Racism | Tea Party 247  https://www.teaparty247.org/chinese-woman-attacked-in-nyc-for-wearing-face-mask-heres-why-it-wasnt-racism/ …\n",
+      "Urban Dictionary: Mask hysteria  http://mask-hysteria.urbanup.com/14702760#.XkHuUAMw614.twitter …\n",
+      "L Or al Professionnel S rie Expert Nutrifier Mask 250ml 8.4 Fl Oz.  https://perfumegiftsets.site/l-or-al-professionnel-s-rie-expert-nutrifier-mask-250ml-8-4-fl-oz/ … pic.twitter.com/zPVCjmHYXm\n",
+      "The solution is simple; commission a new, more distinct logo that incorporates something that is hard to steal both in the silhouette and the design itself. For example, add a half-mask guard to the helmet with a little chip or scratch out of it.\n",
+      "Bluetooth Sleeping Eye Mask Headphones,ERNSTING-4.2 Wireless Bluetooth Headset Music Travel Sleep Headset Built-in Microphone is Adjustable and Washable,Perfect for Travel Sleeping Grey  https://onearheadphones.site/bluetooth-sleeping-eye-mask-headphonesernsting-4-2-wireless-bluetooth-headset-music-travel-sleep-headset-built-in-microphone-is-adjustable-and-washableperfect-for-travel-sleeping-grey/ … pic.twitter.com/44QhdY3x7R\n",
+      "Me: *puts on mask*\n",
+      "Student:Why you wearing a mask \n",
+      "(I’ve told this student several times why I wear a face mask during Horticulture) \n",
+      "Me:  Why do I wear a mask during this class ?\n",
+      "Student: because you have earth disease ! \n",
+      "Me:I have ALLERGIES!!!!! \n",
+      "😂😩😂\n",
+      "And of course, their masks—like 99% of the masks we see people wearing in China—are useless. Sad. #covid19 pic.twitter.com/HCptRUfRnK\n",
+      "Mass Media Mask Masonic Control  https://envirowatchrangitikei.wordpress.com/2020/02/20/mass-media-mask-masonic-control/ …\n",
+      "NEW Resmed F30i Mask  https://cpapclinic.ca/cpap-sleep-apnea/2020/02/resmed-f30i-mask/ …\n",
+      "Homemade Wheatgerm Face Mask Recipes For Glowing Skin  https://www.bloglovin.com/blogs/natures-best-home-remedies-14475233/homemade-wheatgerm-face-mask-recipes-for-7339858483 … on @bloglovin\n",
+      "NY Now’s Biggest Accessory Face Mask Protection  https://t2conline.com/ny-nows-biggest-accessory-face-mask-protection/ …\n",
+      "Gyul..... Sampe ada hashtag only for u to wear mask lho.... Hahahah nerbener #한결아_마스크를_끼자 #our_hangyul_please_wear_mask\n",
+      "Ha Ha, it's only an excuse to hide the fact of mask shortage.\n",
+      "The Masked Singer Season 3: Which Celebrities Are Behind the Masks?  https://tvshowsfinder.com/breaking-news/the-masked-singer-season-3-which-celebrities-are-behind-the-masks/ …\n",
+      "Mask Sales Up In Alliston\n",
+      " https://www.southsimcoetoday.ca/2020/02/27/masks-available-at-home-hardware/ …\n",
+      "10 ml Moisturizing Professional Hair Mask  https://bellestuff.com/10-ml-moisturizing-professional-hair-mask/ … pic.twitter.com/4BGByDkSZO\n",
+      "Eh ... I’ll be good y’all keep on wearing those mask tho  https://twitter.com/Pog_llins/status/1234002206485090304 …\n",
+      "New post: Morocco Rhassoul Clay Facial Body Mask Anti-aging Detoxify Pore Cleansing+ Brush  http://bestbodydetoxify.net/articles/morocco-rhassoul-clay-facial-body-mask-anti-aging-detoxify-pore-cleansing-brush.html/ …\n",
+      "1 2 Motherfuckers Beat - Dj Mask par Dj Mask - Beats Music via #soundcloud https://soundcloud.com/dj_mask/1-2-motherfuckers-beat-dj-mask?utm_source=soundcloud&utm_campaign=wtshare&utm_medium=Twitter&utm_content= https%3A//soundcloud.com/dj_mask/1-2-motherfuckers-beat-dj-mask …\n",
+      "The Best Overnight or Sleeping Masks For Every Skin Type  https://nudieglow.com/blogs/nudieblog/the-best-overnight-masks-for-every-skin-type …\n",
+      "Botanical Beauty : ROSEMARY PURIFYING MASK:  http://botanicalbeautystyle.blogspot.com/2019/11/rosemary-purifying-mask.html … pic.twitter.com/UQUxhK5W9e\n",
+      "I brought cleaning groceries last wk & not affected much by panic buying. Lucky I hv face-mask coz I brought some 4 HK family in Jan but they don't need it. We can keep 4 worst case...\n",
+      "\n",
+      "I suggested 4 contingency plan to my employer a wk ago & they can set up remote workstation\n",
+      "Matt Gaetz Wore Gas Mask To Mock Coronavirus Concerns. One Of His Constituents Just Died From It.  https://www.yahoo.com/huffpost/matt-gaetz-gas-mask-mock-coronavirus-concerns-one-of-his-constituents-just-died-from-it-213840665.html …\n",
+      "#MattGaetz Wore Gas Mask To Mock Coronavirus Concerns. One Of His Constituents Just Died From It.\n",
+      " https://www.huffpost.com/entry/matt-gaetz-gas-mask-mock-coronavirus-concerns-one-of-his-constituents-just-died-from-it_n_5e64067cc5b68d61645545d6 …\n",
+      "\n",
+      "Oh that's so #Republican 🇷🇺of you!\n",
+      "\n",
+      "#Florida #toiletpaperpanic #CoronavirusUSA #COVID19 #coronavirus #BlueWave2020\n",
+      "#coronavirus \n",
+      "If #Mask you must:\n",
+      " https://rizziallen.wordpress.com/2020/03/02/corona-virus-mask/ …\n",
+      "Here is why @mattgaetz will always be a jackass!!\n",
+      "\n",
+      "From the article below:\n",
+      "\n",
+      "He also reflected on the gas-mask stunt. \n",
+      "\n",
+      "\"I wasn't making light of the situation,\" Gaetz told the Pensacola News Journal. \"I only wish I had worn the gas mask at CPAC.\"  https://twitter.com/crampell/status/1237488512666132483 …\n",
+      "#coronavirus #virus 50pcs KN95 Mouth Mask 3- Layer Ply Disposable Anti-Dust Surgical Medical Masks Anti-Virus  https://survival.technology/products/50pcs-kn95-meltblown-mouth-mask-3-layer-ply-disposable-anti-dust-surgical-medical-earloop-masks-anti-virus …\n",
+      "Matt Gaetz, Who Mocked Coronavirus by Wearing Gas Mask on House Floor, Is Now in Quarantine  https://www.rollingstone.com/politics/politics-news/matt-gaetz-coronavirus-gas-mask-quarantine-964697/ … via @RollingStoneANOTHER SMART REPUBLICAN\n",
+      "Senate Democrats Obstruct Bipartisan Legislation to Address Shortage of Respirators and Face Masks During Coronavirus Outbreak  https://www.thegatewaypundit.com/2020/03/senate-democrats-obstruct-bipartisan-legislation-to-address-shortage-of-respirators-and-face-masks-during-coronavirus-outbreak/ … via @gatewaypundit\n",
+      "Senate Democrats Obstruct Bipartisan Legislation to Address Shortage of Respirators and Face Masks During Coronavirus Outbreak  https://www.thegatewaypundit.com/2020/03/senate-democrats-obstruct-bipartisan-legislation-to-address-shortage-of-respirators-and-face-masks-during-coronavirus-outbreak/ … via @gatewaypundit\n",
+      "Kn95 Face Mask Anti-Virus Protection n95 pm2.5 (5pcs set)  https://shoppinwithme.com/product/kn95-face-mask-anti-virus-protection-n95-pm2-5-5pcs-set/ …  Ships 3/20\n",
+      "Thanks to all those face mask hoarders, many hospitals are now running very short or completely OUT of N-95 masks, face shields etc. Not where i work (yet) but Full PPE rec by CDC unavailable already in some hospitals to those coming in contact w confirmed COVID-19 patients. 😞\n",
+      "Long as they wasn’t all n your face they usually have face mask anyway tho lol but man sis playin wit fire huh 🤔\n",
+      "If your Star Wars 3D printing doesn't work out, drop by and help with my Lego space station. Bring 2 masks please. ;-)\n",
+      "Calling All People Who Sew And Make: You Can Help Solve 2020 N95-Type Mask Shortage - Forbes  https://www.forbes.com/sites/tjmccue/2020/03/20/calling-all-people-who-sew-and-make-you-can-help-solve-2020-n95-type-mask-shortage/ … via @GoogleNews\n",
+      "White House Won’t Say When More Masks Will Be Available To Health Care Workers  http://eathealthyandlivehealthy.com/healthcare/white-house-wont-say-when-more-masks-will-be-available-to-health-care-workers/ … pic.twitter.com/uxmpEvSo3f\n",
+      "Are you ready for this? 😱 We present you Kawaii Cartoon Style Eye Mask!  https://ikawaiishop.com/kawaii-cartoon-style-eye-mask/ … $13.00\n",
+      "#kawaiicrafts #kawaiipink  https://ikawaiishop.com/kawaii-cartoon-style-eye-mask/ … Kawaii Cartoon Style Eye Mask  pic.twitter.com/jI9XQHM6HR\n",
+      "Clinique City Block Purifying Charcoal Clay Mask + Scrub 100 ml Maske Reinigung  https://www.bestsellerindex.com/2020/03/26/clinique-city-block-purifying-charcoal-clay-mask-scrub-100-ml-maske-reinigung/ … pic.twitter.com/uXtSHzi5Ug\n",
+      "Hmm... SEIU Union in California Suddenly Finds Mysterious Stash of 39 Million Face Masks -- 3 Days After AG Bill Barr Announces They're Going After Hoarders  https://www.thegatewaypundit.com/2020/03/hmm-seiu-union-in-california-suddenly-finds-mysterious-stash-of-39-million-face-masks-3-days-after-ag-bill-barr-announces-theyre-going-after-hoarders/ …\n",
+      "Japan:\n",
+      "strong social norms around civil obedience\n",
+      "and mask-wearing\n",
+      " https://www.ft.com/coronavirus-latest … pic.twitter.com/skupjOwyhN\n",
+      "Leftists are dumping criminals into our streets!\n",
+      "\n",
+      "Inmates Released From Rikers Over Pandemic Get Cell Phones, Cab Fare, Hotel Rooms While Employees Go Without Masks via @dloesch https://danaloesch.com/inmates-released-from-rikers-over-pandemic-get-cell-phones-cab-fare-hotel-rooms-while-employees-go-without-masks/ …\n",
+      "Masks=good   https://medium.com/@thejanellemj/please-join-me-in-wearing-a-mask-71e0e3f4fe4a …\n",
+      "Carmakers To The Rescue — N95 Mask Mass Production  https://cleantechnica.com/2020/03/29/carmakers-to-the-rescue-n95-mask-mass-production/ … pic.twitter.com/vtjiwey3YW\n",
+      "Tucker Carlson to Govt: Stop Lying to Us About Face Masks  https://www.infowars.com/tucker-carlson-to-govt-stop-lying-to-us-about-face-masks/ …\n",
+      "Who Needs to Wear a Mask During the Coronavirus Pandemic?  http://999ktdy.com/who-needs-to-wear-a-mask-during-the-coronavirus-pandemic/?trackback=twitter_mobile … @999ktdy\n",
+      "Praying for a speedy recovery for all physically affected by this pandemic.\n",
+      "\n",
+      "#Coronavirus #epidemic #outbreak #worldwide #virus #health #quarantine #socialdistance #socialdistancing #pandemic #us #mask #masks…  https://www.instagram.com/p/B-ataDxBAH3/?igshid=q3pbcxd83ju0 …\n",
+      "Hawaii Lt. Governor: Everyone Should Wear A Mask When Leaving Home | Zero Hedge  https://www.zerohedge.com/health/hawaii-lt-governor-everyone-should-wear-mask-when-leaving-home …\n",
+      "COVID-19: Premier Doug Ford seen personally picking up mask donation from dental office  https://nationalpost.com/news/canada/covid-19-premier-doug-ford-seen-personally-picking-up-mask-donation-from-dental-office/ …\n",
+      "Many Mask Factories in China Don’t Meet Sanitation, Quality Standards: Chinese Broker  https://www.theepochtimes.com/many-mask-factories-in-china-dont-meet-sanitation-quality-standards-chinese-broker_3302425.html … via @epochtimes\n",
+      "Calif. Sheriff: We’ll Arrest Anyone Not Wearing a Mask  https://www.infowars.com/calif-sheriff-well-arrest-anyone-not-wearing-a-mask/ …\n",
+      "The too much gov comment has merit and would be a whole different interesting convo but the mask thing ur understanding is a bit off.  Masks only really work tho if everyone in a space does it just like social distancing\n",
+      "Doorbell video captures violent Illinois home invasion which left coronavirus mask-wearing suspect dead  https://fxn.ws/34vqGzI  #FoxNews\n",
+      "Eye rolling during mask fit testing.  pic.twitter.com/JrjvQ9SOsl\n",
+      "#hashtag1 Sleeping Travel Mask  https://www.safitravelers.com/product/sleeping-travel-mask/ …  https://www.safitravelers.com  pic.twitter.com/kbI2w3EkEX\n",
+      "China didn't do anything till the doctor exposed it he died\n",
+      "they made a test to see who is positive it works 50%\n",
+      "they had meds to stop it kind of who knows\n",
+      "they started to sell mask gloves machines gowns\n",
+      "they are making billions who would put sanctions on that\n",
+      "You do the math🧐🤪  pic.twitter.com/MQUI1tRHn0\n",
+      "Careful with Masks | Doctor’s Diary with Dr. Gene Dorio  https://scvnews.com/careful-with-masks-doctors-diary-with-dr-gene-dorio/ … pic.twitter.com/qrUNQK9KWI\n",
+      "Dig around a little. You probably already have something mask-worthy at home.  https://hubs.ly/H0ptYFx0 \n",
+      "When you want to enjoy some fresh air....#mask #coveredbytheblood pic.twitter.com/JT02XoRP0w\n",
+      "Masks will be mandatory on all MTA transit starting Friday!  https://nypost.com/2020/04/15/masks-will-be-mandatory-on-all-mta-transit-starting-friday/ …\n",
+      "McBride High, Ninth Grader Earn $1,000 For 3D Mask Project  https://www.gazettes.com/news/coronavirus/mcbride-high-ninth-grader-earn-1-000-for-3d-mask-project/article_d62b390c-7f7a-11ea-a660-b3086cf824fe.html?utm_medium=social&utm_source=twitter&utm_campaign=user-share … via @gruniongazette\n",
+      "Niggas don’t believe in drunk elephant...still fuccn with them face mask tho\n",
+      "Accessory | Purassic Park | Mask Cover – Arm The Animals Clothing Co. ⁦@StevenRayMorris⁩ ⁦@ThePurrrcast⁩ https://www.armtheanimals.com/products/accessory-purassic-park-mask …\n",
+      "I'm tired of people who think that I only need to west a mask indoors.  \n",
+      "No.  From the car until I get home and can detox.  🙄\n",
+      "New curfew hours islandwide, mask wearing now mandatory\n",
+      " http://ow.ly/H3bH30qzoUl \n",
+      "Bentonite (Indian Healing), Moroccan (Red), French (Green), Kaolin (White), Activated Charcoal/Bentonite Clay Powders – 5 Multi Pak Set for Making Mud Masks for Skin, Hair, Face/Facial and Body  http://foreverbusinessowner.net/bentonite-indian-healing-moroccan-red-french-green-kaolin-white-activated-charcoal-bentonite-clay-powders-5-multi-pak-set-for-making-mud-masks-for-skin-hair-face-facial-and-body/ … pic.twitter.com/lPKcmpvivY\n",
+      "✔ Don't drink fish tank cleaner\n",
+      "✔ No ingesting disinfectant\n",
+      "✔ Shooting up with bleach is bad\n",
+      "✔  Non-MD Hannity's medical advice kills people\n",
+      "✔ Don't elect dimwitted, reality TV show hosting,  sociopathic sexual assailants president\n",
+      "✔ Wash hands, wear mask\n",
+      "\n",
+      "Anything else?  https://twitter.com/MollyJongFast/status/1253465460005392384 …\n",
+      "THE AGE OF OCEAN LINERS Washable Face Mask\n",
+      "Trans-Atlantic Travel Art Deco Art - New York City Harbor\n",
+      "Original Fine Art by Dana Vacca\n",
+      "@ Fine Art America\n",
+      "\n",
+      " https://fineartamerica.com/featured/retro-art-deco-ocean-liner-travel-dana-vacca.html?product=face-mask … pic.twitter.com/a5BLKGi13Q\n",
+      "I‘m an essential employee in the medical field. The governor’s mask wasn’t put on sideways. He is wearing a N95 mask that has two straps that wrap around your head above and below the ear, not each ear. But, he did put it on upside down. The metal nose strip was at his chin.🤦‍♀️\n",
+      "3-no. Maybe mildly, irritated by your “masks-unrelated” answer, because I thought you were upset that I agree in wearing a mask (obeying the rule), and to me it looked like you were not willing to do the same (the “can you say the same” was related to obeying the rule).\n",
+      "#ZAZZLE Pretty Face Mask  https://www.zazzle.com/sage_green_leaves_purple_blush_pink_flowers_cloth_face_mask-256427947980597072?rf=238246640349475913 …\n",
+      "WH Adviser: China Knew What Was Coming, Stockpiled Masks Before World Learned COVID Dangers  https://www.westernjournal.com/wh-adviser-china-knew-coming-stockpiled-masks-world-learned-covid-dangers/?utm_source=Twitter&utm_medium=PostTopSharingButtons&utm_campaign=websitesharingbuttons …\n",
+      "Finally able to get masks - $26 for a pkg of 20, 3 ply - first time I put one on the elastic broke - Yup Made in China  https://twitter.com/theWPMyth/status/1254992659170709512 …\n",
+      "\"Wellesley Man Using 23 Printers To Churn Out Face Masks | Wellesley, MA Patch\"  https://patch.com/massachusetts/wellesley/wellesley-man-using-23-printers-churn-out-face-masks?utm_source=amp&utm_campaign=amp&utm_medium=mobile …\n",
+      "Get my art printed on awesome products. Support me at Redbubble #RBandME:   https://www.redbubble.com/i/mask/Hanibal-by-Llewynn1225/47431094.9G0D8?asc=u … #findyourthing #redbubble #Masks #COVID__19\n",
+      "NO JOKE: CA Governor Newsom Orders $1 Billion Worth Of Masks From Chinese Car Company  https://trendingpolitics.com/no-joke-ca-governor-newsom-orders-1-billion-worth-of-masks-from-chinese-car-company/ …\n",
+      "Todrick Hall releases star-studded video for ‘Mask, Gloves, Soap, Scrubs’  https://www.queerty.com/todrick-hall-releases-star-studded-video-masks-gloves-soaps-scrubs-20200430#.XqtmaMOy5Tc.twitter …\n",
+      "Get my art printed on awesome products. Support me at Redbubble #RBandME:   https://www.redbubble.com/i/mask/Field-at-sunrise-by-NicoleK-design/30316300.9G0D8?asc=u … #findyourthing #redbubble #field #sunset #mask\n",
+      "Hey Mask Squad Fans! Please support our Mission by purchasing Mask Squad gear! Adults and Kids sizes available NOW! T-Shirt sale proceeds benefit our Mission and efforts.  https://themasksquad.spiritsale.com  #masks4all #masksquad #PPE #somersetnjmasksquad\n",
+      "N95 Masks are Disposable. Doctors are Not. \n",
+      " https://midcenturymodernmag.com/n95-masks-are-disposable-not-doctors-efcb4d69d89?gi=d69347512f2 …\n",
+      "Most of the ppl I’ve seen with mask aren’t doing anything to really stop the spread or protect themselves. Seems pointless at this point tbh\n",
+      "Rajasthan To Impose Fines For Not Wearing Masks In Public Amid Pandemic  https://pakkikhabar.in/rajasthan-to-impose-fines-for-not-wearing-masks-in-public-amid-pandemic/ … pic.twitter.com/AfVZU52s5t\n",
+      "I don't care. Here is a mask full of COVID-19. This is the Native Americans' revenge on the white man,\n",
+      "So, this guy, with ungloved hands & unmasked face handles a mask then puts it back in the lot possibly contaminating all the others. Way to go! 🤦‍♀️😷 Meanwhile, #45 & others are unmasked & not practicing physical distancing. The music just puts it over the top. Geesh.  https://twitter.com/atrupar/status/1257814281330069504 …\n",
+      "Jaime King in a Face Mask Leaves a Liquor Store in Hollywood 04/27/2020  http://onceleb.wiki/jaime-king-in-a-face-mask-leaves-a-liquor-store-in-hollywood-04-27-2020/ …\n",
+      "Victoria's Secret Introduces Line Of More Revealing Masks  https://babylonbee.com/news/victorias-secret-introduces-new-more-revealing-masks … via @TheBabylonBee\n",
+      "How to Set Up Face ID to Work With a Face Mask.\n",
+      "\n",
+      "#tech #faceID #facemask #howto #tips https://blog.macsales.com/61377-how-to-set-up-face-id-to-work-with-a-face-mask/ …\n",
+      "A lot of us don't want to get sick when an unmasked libertarian spews out his viral load on us while we're in line at the Costco or wherever.  WEAR. A. MASK.\n",
+      "4) embarrassing her daughter for wanting to buy something and it was awks af and tHEN\n",
+      "5) she was yelling at the cashier about gloves even tho the most important thing to wear is a mask/yelled about the long line \n",
+      "6) my cashier didnt have his mask covering his nose so now...RIP ME\n",
+      "But, when I wear it, I do it by my own choice, not because the government told me to. As should everybody. That is just common sense.\n",
+      "\n",
+      "If there is a contingent of people who are anti-mask, well, they are just a bunch of redneck dweebs\n",
+      "Yes, Hanging Your Mask From Your Mirror is Illegal in #NewJersey  http://literock969.com/yes-hanging-your-mask-from-your-mirror-is-illegal-in-new-jersey/?trackback=twitter_mobile … @literock969\n",
+      "Fox News journalist fires back at ABC News' Jon Karl for mask-shaming him at the White House  https://www.theblaze.com/news/john-roberts-vs-jon-karl-mask-shaming …\n",
+      "Agree people should obey the policies (whether imposed by individual store owners or mayors). But ok also to object to those policies. (Most doctors I know think mask wearing is silly and that it should be a choice outside of very limited circumstances.)\n",
+      "So Caesars palce is opening.and the staff has a mask requirment but the customers won't.\n",
+      "\n",
+      "How does rhat make any sense at all because it's she same highly contagious fucking disease. \n",
+      "\n",
+      "Workers don't MATTER  is what I heard.\n",
+      "\"Who’s Enforcing Mask Rules? Often Retail Workers, and They’re Getting Hurt\"  https://www.nytimes.com/2020/05/15/us/coronavirus-masks-violence.html?smid=tw-share …\n",
+      "You should take some lessons on how to wear a mask- look simple when you don’t get it\n",
+      "Kim Kardashian West Debuts New Face Masks From Her SKIMS Shapewear Line – The Shade Room  https://techinfinitylife.info/kim-kardashian-west-debuts-new-face-masks-from-her-skims-shapewear-line-the-shade-room/ …\n",
+      "Mask-Police CNN Reporter Kaitlan Collins Caught Removing Her Mask at Presser as Soon as She Thought Cameras Were Off (VIDEO) \n",
+      "- https://fullmagazine.us/mask-police-cnn-reporter-kaitlan-collins-caught-removing-her-mask-at-presser-as-soon-as-she-thought-cameras-were-off-video/ …\n",
+      "- The Gateway Pundit\n",
+      "\n",
+      "Mask-police CNN reporter Kaitlan Collins was caught removing her mask at a White House press briefing...  pic.twitter.com/sx0GMdgY9X\n",
+      ".3 micrometer particles are the hardest to capture that is why HEPA filters are designed to capture .3 @ 99.97 efficiency. Scanned filters are 99.99. Particles smaller than .3 are easily captured as they vibrate. PS cloth mask don’t stop anything.\n",
+      "Mask-Police CNN Reporter Kaitlan Collins Caught Removing Her Mask at Presser as Soon as She Thought Cameras Were Off (VIDEO)  https://www.thegatewaypundit.com/2020/05/mask-police-cnn-reporter-kaitlan-collins-caught-removing-mask-presser-soon-thought-cameras-off-video/?utm_source=Twitter&utm_campaign=websitesharingbuttons … via @gatewaypundit\n",
+      "Lockdown khtam tou krdia but mask compulsory nhi kia Govt ne... iss liye ab patients barh rhay hain #LockdownEnd\n",
+      "Dumber Than Dirt: Dayton, OH To Ban The Wearing Of Masks While Committing A Crime…  http://www.digifection.com/2020/05/17/dumber-than-dirt-dayton-oh-to-ban-the-wearing-of-masks-while-committing-a-crime/ …\n",
+      "Solidarity and Masks  https://mikethemadbiologist.com/2020/05/18/solidarity-and-masks/ … via @mikethemadbiol\n",
+      "Mask-free customer berates Costco employee as he gets kicked out: ‘I woke up in a free country’ -  https://www.rawstory.com/2020/05/mask-free-customer-berates-costco-employee-as-he-gets-kicked-out-i-woke-up-in-a-free-country/ …\n",
+      "New Orleans jeweler designs American flag face-mask charm to raise money for homeless veterans\n",
+      "\n",
+      " https://www.foxnews.com/us/new-orleans-jeweler-american-flag-face-mask-charm-homeless-veterans …\n",
+      "GOP lawmaker kicked out of Illinois legislative session over refusal to wear mask  https://www.washingtonpost.com/nation/2020/05/21/illinois-gop-lawmaker-removed-mask/ …\n",
+      "Pretty sure Trump doesn't  understand  how masks work. His fear is that it makes his face disappear.\n",
+      "Donald Trump Wears Mask at Ford Plant  https://www.tmz.com/2020/05/21/donald-trump-wears-presidential-mask-ford-plant-covid-19-coronavirus/ … via @TMZ\n",
+      "Why are Walmart's and Home Depot's open and small businesses are not?  What the heck are we doing to this country????? ALSO If masks work, why do businesses need to be closed??????\n",
+      "\n",
+      "If they don’t work, why are we forced to wear them?????? \n",
+      "\n",
+      "PICK ONE Gretchen. #LiberateMichigan\n",
+      "Why are Walmart's and Home Depot's open and small businesses are not?  What the heck are we doing to this country????? ALSO If masks work, why do businesses need to be closed??????\n",
+      "\n",
+      "If they don’t work, why are we forced to wear them?????? \n",
+      "\n",
+      "PICK ONE Gretchen. #LiberateMichigan\n",
+      "Trump Dismisses Face Masks as ‘Politically Correct’  https://politicalwire.com/2020/05/26/trump-dismisses-face-masks-as-politically-correct/ … via @politicalwire\n",
+      "Virginia to Mandate Masks After Northam Caught Taking Selfie w/o Mask  https://www.breitbart.com/politics/2020/05/26/virginia-makes-wearing-masks-mandatory-in-public/ … via @BreitbartNews\n",
+      "JOHN HINDERAKER: Mask Mania  https://www.powerlineblog.com/archives/2020/05/mask-mania.php?utm_source=twitter&utm_medium=sw&utm_campaign=sw … via @powerlineUS\n",
+      "Since this mask thing started, It's been hard to get a good blow job.\n",
+      "we wear masks every fucking day.\n",
+      "people are dying from sickness.\n",
+      "people are dying completely innocent.\n",
+      "people are being murdered.\n",
+      "for nothing.\n",
+      "we are the people. all of us. no matter skin.\n",
+      "we all are here to keep someone going.\n",
+      "but fuck pigs\n",
+      "Minneapolis Mayor Asks Rioters To Wear Face Masks And Practice Social Distancing As City BURNS  https://www.dailywire.com/news/minneapolis-mayor-asks-rioters-to-wear-face-masks-and-practice-social-distancing-as-city-burns/ …\n",
+      "Ottawa to become 1st Canadian city to make masks 'mandatory' on transit  https://ca.news.yahoo.com/ottawa-become-1st-canadian-city-205817981.html?soc_src=hl-viewer&soc_trk=tw … via @YahooCanada\n",
+      "I Cant Breathe Masks, Reusable, Cycling (1PC)  https://hometept.com/products/i-cant-breathe-masks--reusable--cycling--1pc-?variant=29142419?source=twitter …\n",
+      "And wear your damn mask😷  https://twitter.com/UtahCoronavirus/status/1268652252174188550 …\n",
+      "We're going to learn about about outdoor transmission of the virus from these protests. Will we see many new infections (not just in people who were sent to jails)? Who gets infected and what were the mask-wearing percentages in their crowds? We don't know for sure.\n",
+      "Michigan- almost 6K New today?\n",
+      "They had no mask demonstrations at their capital, a little over 14 days ago- this shouldn’t surprise anyone. \n",
+      "\n",
+      "FL- 1,305 new- opened beaches that same weekend.\n",
+      "People just don't understand. COVID19 doesn't care if you're protesting for social justice or a haircut.\n",
+      "\n",
+      "If we're going to allow masked protests then let people wear masks to hair salons, churches, sporting events. Be logical, people, because right now we're not.\n",
+      "So mask mandate or not? @BORUSG said no specifically on that and yet this release says all will be “expected” to wear masks? Can I enforce an “expectation” in class? Is a classroom with 10 students in need of masks? Will we be having 1/3 of class per day in person?\n",
+      "Makeup's been holding up to mask-wearing\n",
+      "\n",
+      "Betty Boop x @IPSY Eyeshadow Palette, Lip Gloss\n",
+      "@HipDotCosmetics Legendary Palette\n",
+      "@GerardCosmetics Starlet Palette\n",
+      "@stilacosmetics Stay All Day Liquid Liner, Huge Extreme Lash Mascara\n",
+      "@BenefitBeauty Precisely My Brow, 3D Browtones pic.twitter.com/mj6Zqx5geM\n",
+      "I still remember how strange it seemed, in my first masks-required job, to have conversations with people when I couldn’t see half their faces. But by day 3 it was totally normal.\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks[masks.pos == 'JJ']['tweet']:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

From 329061ade1ff06887d57c1251f21dd2d456df619 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Sat, 13 Jun 2020 13:54:52 -0400
Subject: [PATCH 02/14] sentiment function and backup

---
 ..._scraping_notebook-backup_0612-night.ipynb | 4023 +++++++++++++++++
 josh-twitter_scraping_notebook.ipynb          | 2784 ++----------
 2 files changed, 4315 insertions(+), 2492 deletions(-)
 create mode 100644 josh-twitter_scraping_notebook-backup_0612-night.ipynb

diff --git a/josh-twitter_scraping_notebook-backup_0612-night.ipynb b/josh-twitter_scraping_notebook-backup_0612-night.ipynb
new file mode 100644
index 0000000..a3fa3bc
--- /dev/null
+++ b/josh-twitter_scraping_notebook-backup_0612-night.ipynb
@@ -0,0 +1,4023 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def twint_search(search, username=None, since=None, until=None, limit=None):\n",
+    "    '''\n",
+    "    Function to return a pandas dataframe of tweets in English containing term using twint search method.\n",
+    "    Required parameter: search term.\n",
+    "    Optional parameters: username, beginning (since) and end (until) datetimes to search, maximum number of tweets.\n",
+    "    '''\n",
+    "    c = twint.Config()\n",
+    "    c.Lang = 'en'\n",
+    "    c.Search = search\n",
+    "    c.Username = username\n",
+    "    c.Since = since\n",
+    "    c.Until = until\n",
+    "    c.Limit = limit\n",
+    "    c.Pandas = True\n",
+    "#     c.Hide_output = True\n",
+    "    twint.run.Search(c)\n",
+    "    df = twint.storage.panda.Tweets_df\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.output:checkData:copyrightedTweet\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "ERROR:asyncio:Task exception was never retrieved\n",
+      "future: <Task finished coro=<Twint.main() done, defined at /opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py:147> exception=TimeoutError()>\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 149, in Response\n",
+      "    return await response.text()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/client_reqrep.py\", line 1009, in text\n",
+      "    await self.read()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/client_reqrep.py\", line 973, in read\n",
+      "    self._body = await self.content.read()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 358, in read\n",
+      "    block = await self.readany()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 380, in readany\n",
+      "    await self._wait('readany')\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 296, in _wait\n",
+      "    await waiter\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/futures.py\", line 327, in __iter__\n",
+      "    yield self  # This tells Task to wait for completion.\n",
+      "concurrent.futures._base.CancelledError\n",
+      "\n",
+      "During handling of the above exception, another exception occurred:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 182, in _step\n",
+      "    result = coro.throw(exc)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 154, in main\n",
+      "    await task\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 250, in _wakeup\n",
+      "    future.result()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 182, in _step\n",
+      "    result = coro.throw(exc)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 177, in run\n",
+      "    await self.tweets()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 137, in tweets\n",
+      "    await self.Feed()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 45, in Feed\n",
+      "    response = await get.RequestUrl(self.config, self.init, headers=[(\"User-Agent\", self.user_agent)])\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 119, in RequestUrl\n",
+      "    response = await Request(_url, params=params, connector=_connector, headers=headers)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 143, in Request\n",
+      "    return await Response(session, url, params)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 149, in Response\n",
+      "    return await response.text()\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/async_timeout/__init__.py\", line 45, in __exit__\n",
+      "    self._do_exit(exc_type)\n",
+      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/async_timeout/__init__.py\", line 92, in _do_exit\n",
+      "    raise asyncio.TimeoutError\n",
+      "concurrent.futures._base.TimeoutError\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 4min 32s, sys: 1.6 s, total: 4min 34s\n",
+      "Wall time: 17min 15s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%time mask_df = twint_search(search='(mask OR masks)',\n",
+    "                             username=None,\n",
+    "                             since='2020-01-01',\n",
+    "                             until='2020-01-02',\n",
+    "                             limit=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "14563"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(mask_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'conversation_id', 'created_at', 'date', 'timezone', 'place',\n",
+       "       'tweet', 'hashtags', 'cashtags', 'user_id', 'user_id_str', 'username',\n",
+       "       'name', 'day', 'hour', 'link', 'retweet', 'nlikes', 'nreplies',\n",
+       "       'nretweets', 'quote_url', 'search', 'near', 'geo', 'source',\n",
+       "       'user_rt_id', 'user_rt', 'retweet_id', 'reply_to', 'retweet_date',\n",
+       "       'translate', 'trans_src', 'trans_dest'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>timezone</th>\n",
+       "      <th>place</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>cashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>...</th>\n",
+       "      <th>geo</th>\n",
+       "      <th>source</th>\n",
+       "      <th>user_rt_id</th>\n",
+       "      <th>user_rt</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>retweet_date</th>\n",
+       "      <th>translate</th>\n",
+       "      <th>trans_src</th>\n",
+       "      <th>trans_dest</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1212523886329380865</td>\n",
+       "      <td>1212523886329380865</td>\n",
+       "      <td>1577923196000</td>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1099209894295678977</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1212523880558026753</td>\n",
+       "      <td>1212523880558026753</td>\n",
+       "      <td>1577923195000</td>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>57777541</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1212523828888449024</td>\n",
+       "      <td>1212421340281614338</td>\n",
+       "      <td>1577923183000</td>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>346609834</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1212523807128186882</td>\n",
+       "      <td>1212402852011937792</td>\n",
+       "      <td>1577923177000</td>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1070005555777945600</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1212523752925229056</td>\n",
+       "      <td>1212512506838519811</td>\n",
+       "      <td>1577923164000</td>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>48659042</td>\n",
+       "      <td>...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 33 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    id      conversation_id     created_at  \\\n",
+       "0  1212523886329380865  1212523886329380865  1577923196000   \n",
+       "1  1212523880558026753  1212523880558026753  1577923195000   \n",
+       "2  1212523828888449024  1212421340281614338  1577923183000   \n",
+       "3  1212523807128186882  1212402852011937792  1577923177000   \n",
+       "4  1212523752925229056  1212512506838519811  1577923164000   \n",
+       "\n",
+       "                  date timezone place  \\\n",
+       "0  2020-01-01 18:59:56      EDT         \n",
+       "1  2020-01-01 18:59:55      EDT         \n",
+       "2  2020-01-01 18:59:43      EDT         \n",
+       "3  2020-01-01 18:59:37      EDT         \n",
+       "4  2020-01-01 18:59:24      EDT         \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags cashtags              user_id  ... geo source  \\\n",
+       "0                        []       []  1099209894295678977  ...              \n",
+       "1                        []       []             57777541  ...              \n",
+       "2  [#classicjose, #coverup]       []            346609834  ...              \n",
+       "3                        []       []  1070005555777945600  ...              \n",
+       "4                   [#hugs]       []             48659042  ...              \n",
+       "\n",
+       "  user_rt_id  user_rt retweet_id  \\\n",
+       "0                                  \n",
+       "1                                  \n",
+       "2                                  \n",
+       "3                                  \n",
+       "4                                  \n",
+       "\n",
+       "                                            reply_to  retweet_date  translate  \\\n",
+       "0  [{'user_id': '1099209894295678977', 'username'...                            \n",
+       "1  [{'user_id': '57777541', 'username': 'standtal...                            \n",
+       "2  [{'user_id': '346609834', 'username': '5_Times...                            \n",
+       "3  [{'user_id': '1070005555777945600', 'username'...                            \n",
+       "4  [{'user_id': '48659042', 'username': 'IBdaSwee...                            \n",
+       "\n",
+       "   trans_src  trans_dest  \n",
+       "0                         \n",
+       "1                         \n",
+       "2                         \n",
+       "3                         \n",
+       "4                         \n",
+       "\n",
+       "[5 rows x 33 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "      <th>id</th>\n",
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+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>timezone</th>\n",
+       "      <th>place</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>cashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>user_id_str</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>day</th>\n",
+       "      <th>hour</th>\n",
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+       "  </thead>\n",
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+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>1223641260881317888</td>\n",
+       "      <td>1223641260881317888</td>\n",
+       "      <td>1580573785000</td>\n",
+       "      <td>2020-02-01 11:16:25</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>I think seeing a bunch of mask in the abyss is...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1106455892256534528</td>\n",
+       "      <td>1106455892256534528</td>\n",
+       "      <td>neko_likes</td>\n",
+       "      <td>🐾NekoSupportsBlm+Acab🐾✿</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>1223641260382179328</td>\n",
+       "      <td>1223344677568634880</td>\n",
+       "      <td>1580573785000</td>\n",
+       "      <td>2020-02-01 11:16:25</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Masks? Indoors? Was it so cold in the building...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1161549223</td>\n",
+       "      <td>1161549223</td>\n",
+       "      <td>LMQPQ</td>\n",
+       "      <td>Yes Quid Yes Pro Yes Quo.</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>1223641251737632768</td>\n",
+       "      <td>1223610323044904960</td>\n",
+       "      <td>1580573783000</td>\n",
+       "      <td>2020-02-01 11:16:23</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Why are they wearing masks? WHY ARE THESE BIG ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1120913174</td>\n",
+       "      <td>1120913174</td>\n",
+       "      <td>Hunter_Malone1</td>\n",
+       "      <td>Hunter Malone</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>1223641212474789890</td>\n",
+       "      <td>1223641212474789890</td>\n",
+       "      <td>1580573773000</td>\n",
+       "      <td>2020-02-01 11:16:13</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>cut my hair did a mask lookin good for tomorro...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1192424336457637888</td>\n",
+       "      <td>1192424336457637888</td>\n",
+       "      <td>hyewens</td>\n",
+       "      <td>🦋</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>1223641182925811712</td>\n",
+       "      <td>1223641182925811712</td>\n",
+       "      <td>1580573766000</td>\n",
+       "      <td>2020-02-01 11:16:06</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Mask boy 😷\\n#chimonwachirawit\\n#ชิม่อนไงจะใครห...</td>\n",
+       "      <td>[#chimonwachirawit, #ชิม่อนไงจะใครหล่ะ]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1878092274</td>\n",
+       "      <td>1878092274</td>\n",
+       "      <td>lengarashi5</td>\n",
+       "      <td>🐻~Leng~🙈</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>1212523272618889216</td>\n",
+       "      <td>1212523272618889216</td>\n",
+       "      <td>1577923050000</td>\n",
+       "      <td>2020-01-01 18:57:30</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Sometimes it’s not the people who change, it’s...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>26859513</td>\n",
+       "      <td>26859513</td>\n",
+       "      <td>aziz__d</td>\n",
+       "      <td>Abdulaziz A</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>1212523270622318598</td>\n",
+       "      <td>1212455381034848257</td>\n",
+       "      <td>1577923049000</td>\n",
+       "      <td>2020-01-01 18:57:29</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>I feel like I should say there is a megalovani...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1209328477704470528</td>\n",
+       "      <td>1209328477704470528</td>\n",
+       "      <td>_Dream_Mask_</td>\n",
+       "      <td>DreamMask ᴮᴸᴹ</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>1212523268944670721</td>\n",
+       "      <td>1212196987010863105</td>\n",
+       "      <td>1577923049000</td>\n",
+       "      <td>2020-01-01 18:57:29</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>There is vileness in these Antifa replies. The...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>977323917151997953</td>\n",
+       "      <td>977323917151997953</td>\n",
+       "      <td>BentAynFan</td>\n",
+       "      <td>BentAynFan</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>1212523265740152832</td>\n",
+       "      <td>1212523265740152832</td>\n",
+       "      <td>1577923048000</td>\n",
+       "      <td>2020-01-01 18:57:28</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>got my face mask on , playin neopets, ordered ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>35941542</td>\n",
+       "      <td>35941542</td>\n",
+       "      <td>j3nnard</td>\n",
+       "      <td>orange gary lavaburst</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>1212523251106295809</td>\n",
+       "      <td>1212452276234682369</td>\n",
+       "      <td>1577923045000</td>\n",
+       "      <td>2020-01-01 18:57:25</td>\n",
+       "      <td>EDT</td>\n",
+       "      <td></td>\n",
+       "      <td>Maybe you should ask troye to put on a mask wi...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1201661785046011909</td>\n",
+       "      <td>1201661785046011909</td>\n",
+       "      <td>Koop81545219</td>\n",
+       "      <td>look at me ！🌈</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     id      conversation_id     created_at  \\\n",
+       "35  1223641260881317888  1223641260881317888  1580573785000   \n",
+       "36  1223641260382179328  1223344677568634880  1580573785000   \n",
+       "37  1223641251737632768  1223610323044904960  1580573783000   \n",
+       "38  1223641212474789890  1223641212474789890  1580573773000   \n",
+       "39  1223641182925811712  1223641182925811712  1580573766000   \n",
+       "40  1212523272618889216  1212523272618889216  1577923050000   \n",
+       "41  1212523270622318598  1212455381034848257  1577923049000   \n",
+       "42  1212523268944670721  1212196987010863105  1577923049000   \n",
+       "43  1212523265740152832  1212523265740152832  1577923048000   \n",
+       "44  1212523251106295809  1212452276234682369  1577923045000   \n",
+       "\n",
+       "                   date timezone place  \\\n",
+       "35  2020-02-01 11:16:25      EDT         \n",
+       "36  2020-02-01 11:16:25      EDT         \n",
+       "37  2020-02-01 11:16:23      EDT         \n",
+       "38  2020-02-01 11:16:13      EDT         \n",
+       "39  2020-02-01 11:16:06      EDT         \n",
+       "40  2020-01-01 18:57:30      EDT         \n",
+       "41  2020-01-01 18:57:29      EDT         \n",
+       "42  2020-01-01 18:57:29      EDT         \n",
+       "43  2020-01-01 18:57:28      EDT         \n",
+       "44  2020-01-01 18:57:25      EDT         \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "35  I think seeing a bunch of mask in the abyss is...   \n",
+       "36  Masks? Indoors? Was it so cold in the building...   \n",
+       "37  Why are they wearing masks? WHY ARE THESE BIG ...   \n",
+       "38  cut my hair did a mask lookin good for tomorro...   \n",
+       "39  Mask boy 😷\\n#chimonwachirawit\\n#ชิม่อนไงจะใครห...   \n",
+       "40  Sometimes it’s not the people who change, it’s...   \n",
+       "41  I feel like I should say there is a megalovani...   \n",
+       "42  There is vileness in these Antifa replies. The...   \n",
+       "43  got my face mask on , playin neopets, ordered ...   \n",
+       "44  Maybe you should ask troye to put on a mask wi...   \n",
+       "\n",
+       "                                   hashtags cashtags              user_id  \\\n",
+       "35                                       []       []  1106455892256534528   \n",
+       "36                                       []       []           1161549223   \n",
+       "37                                       []       []           1120913174   \n",
+       "38                                       []       []  1192424336457637888   \n",
+       "39  [#chimonwachirawit, #ชิม่อนไงจะใครหล่ะ]       []           1878092274   \n",
+       "40                                       []       []             26859513   \n",
+       "41                                       []       []  1209328477704470528   \n",
+       "42                                       []       []   977323917151997953   \n",
+       "43                                       []       []             35941542   \n",
+       "44                                       []       []  1201661785046011909   \n",
+       "\n",
+       "            user_id_str        username                       name  day hour  \n",
+       "35  1106455892256534528      neko_likes    🐾NekoSupportsBlm+Acab🐾✿    6   11  \n",
+       "36           1161549223           LMQPQ  Yes Quid Yes Pro Yes Quo.    6   11  \n",
+       "37           1120913174  Hunter_Malone1              Hunter Malone    6   11  \n",
+       "38  1192424336457637888         hyewens                          🦋    6   11  \n",
+       "39           1878092274     lengarashi5                   🐻~Leng~🙈    6   11  \n",
+       "40             26859513         aziz__d                Abdulaziz A    3   18  \n",
+       "41  1209328477704470528    _Dream_Mask_              DreamMask ᴮᴸᴹ    3   18  \n",
+       "42   977323917151997953      BentAynFan                 BentAynFan    3   18  \n",
+       "43             35941542         j3nnard      orange gary lavaburst    3   18  \n",
+       "44  1201661785046011909    Koop81545219              look at me ！🌈    3   18  "
+      ]
+     },
+     "execution_count": 143,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.iloc[35:45, :15]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mask_df_simp = mask_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
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+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2020-01-01 18:59:20</td>\n",
+       "      <td>jot_au</td>\n",
+       "      <td>.My daughter has been sick with a nasty cough ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>10</td>\n",
+       "      <td>5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2020-01-01 18:59:20</td>\n",
+       "      <td>EricaLScott</td>\n",
+       "      <td>😺✏ — Aside from butt masks (yes, those exist, ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2020-01-01 18:59:16</td>\n",
+       "      <td>fatxscorpio</td>\n",
+       "      <td>y’all: her energy is something ELSE \\ny’all: p...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2020-01-01 18:59:09</td>\n",
+       "      <td>_HaileyBay_</td>\n",
+       "      <td>We all have some kind of mask. \\nJust how much...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2020-01-01 18:58:57</td>\n",
+       "      <td>Sometimes_Sybil</td>\n",
+       "      <td>The market has moved on. Was given a \"detox sc...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date         username  \\\n",
+       "0  2020-01-01 18:59:56        Matt04181   \n",
+       "1  2020-01-01 18:59:55       standtallx   \n",
+       "2  2020-01-01 18:59:43      5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37    kagura_shelby   \n",
+       "4  2020-01-01 18:59:24       IBdaSweet1   \n",
+       "5  2020-01-01 18:59:20           jot_au   \n",
+       "6  2020-01-01 18:59:20      EricaLScott   \n",
+       "7  2020-01-01 18:59:16      fatxscorpio   \n",
+       "8  2020-01-01 18:59:09      _HaileyBay_   \n",
+       "9  2020-01-01 18:58:57  Sometimes_Sybil   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "5  .My daughter has been sick with a nasty cough ...   \n",
+       "6  😺✏ — Aside from butt masks (yes, those exist, ...   \n",
+       "7  y’all: her energy is something ELSE \\ny’all: p...   \n",
+       "8  We all have some kind of mask. \\nJust how much...   \n",
+       "9  The market has moved on. Was given a \"detox sc...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  \n",
+       "5                        []      10         5    False          7  \n",
+       "6                        []       1         1    False          0  \n",
+       "7                        []       6         1    False          0  \n",
+       "8                        []       1         0    False          1  \n",
+       "9                        []       2         0    False          0  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df_simp.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def search_loop(start_date, end_date, search, username=None, limit=None):\n",
+    "    df = pd.DataFrame()\n",
+    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
+    "    for d in range(len(date_range) - 1):\n",
+    "        since = date_range[d].strftime('%Y-%m-%d')\n",
+    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, limit=limit)\n",
+    "        df = pd.concat([df, day_df])\n",
+    "    df.reset_index(inplace=True)\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_df = search_loop(start_date='2020-01-01',\n",
+    "                       end_date='2020-06-11',\n",
+    "                       search='(mask OR masks) -(ski OR zelda OR majora OR majoras)',\n",
+    "                       username=None,\n",
+    "                       limit=25)\n",
+    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-02 18:59:50</td>\n",
+       "      <td>jaeminhd</td>\n",
+       "      <td>many of the places of my childhood have been b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-02 18:59:47</td>\n",
+       "      <td>MatiasI42363639</td>\n",
+       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-02 18:59:46</td>\n",
+       "      <td>beautyftbless</td>\n",
+       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-02 18:59:44</td>\n",
+       "      <td>DCSportsNexus</td>\n",
+       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-02 18:59:41</td>\n",
+       "      <td>CyclopediaBrain</td>\n",
+       "      <td>What even is the thing in the lower right? A w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2020-01-02 18:59:30</td>\n",
+       "      <td>JadeFindom</td>\n",
+       "      <td>Looking at you makes me feel ill, from now on ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2020-01-02 18:59:17</td>\n",
+       "      <td>magical_pride</td>\n",
+       "      <td>I am also doing another MASKS thing which I am...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2020-01-02 18:58:56</td>\n",
+       "      <td>fary_sarah</td>\n",
+       "      <td>Any visits to Australia again soon? Any mask h...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2020-01-02 18:58:54</td>\n",
+       "      <td>Cinnamonaes</td>\n",
+       "      <td>I’m getting weepy online about Dimitri’s chara...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2020-01-02 18:58:49</td>\n",
+       "      <td>amoralorealis</td>\n",
+       "      <td>Yep, I have an African Mask plant that’s super...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2020-01-02 18:58:45</td>\n",
+       "      <td>exaggerism</td>\n",
+       "      <td>mask my toxicity with less toxicity</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2020-01-02 18:58:35</td>\n",
+       "      <td>liviiraee</td>\n",
+       "      <td>For me, slowing down when cleansing/removing m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2020-01-02 18:58:30</td>\n",
+       "      <td>thinkasklisten</td>\n",
+       "      <td>But it’s misleading. It reads as though there ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2020-01-02 18:58:27</td>\n",
+       "      <td>forrestfireart</td>\n",
+       "      <td>Where's the mask tho?</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2020-01-02 18:58:24</td>\n",
+       "      <td>falsekod</td>\n",
+       "      <td>i firmly believe that at some point in the wri...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2020-01-02 18:58:23</td>\n",
+       "      <td>_Kuro8_</td>\n",
+       "      <td>Where'd you get the Payday mask?</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2020-01-02 18:58:20</td>\n",
+       "      <td>ravenfirefox</td>\n",
+       "      <td>My boss at my daytime job is supplying P2 Mask...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2020-01-02 18:57:59</td>\n",
+       "      <td>orianne_x</td>\n",
+       "      <td>currently sittin with a face mask on lookin li...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2020-01-02 18:57:59</td>\n",
+       "      <td>iamdncollins</td>\n",
+       "      <td>Mom demands recall after Yes To unicorn face m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2020-01-02 18:57:58</td>\n",
+       "      <td>alexhammerstone</td>\n",
+       "      <td>Bunch of guys wearing Halloween masks pitching...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2020-01-02 18:57:51</td>\n",
+       "      <td>BlackMagePY</td>\n",
+       "      <td>Ah yes I remember how terrified they made me i...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2020-01-02 18:57:41</td>\n",
+       "      <td>CamHarvey2</td>\n",
+       "      <td>Everyone around me is getting ill and I’m scar...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2020-01-02 18:57:37</td>\n",
+       "      <td>HendrikRochefo1</td>\n",
+       "      <td>I think that is in the category 'better than n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2020-01-02 18:57:30</td>\n",
+       "      <td>swaggfacee</td>\n",
+       "      <td>Idk why all da fine girls gotta be on pc lmao ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2020-01-02 18:57:28</td>\n",
+       "      <td>Cyberneticist</td>\n",
+       "      <td>Very Interesting! Was the second mask a telepo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>2020-01-02 18:57:23</td>\n",
+       "      <td>juzajelly</td>\n",
+       "      <td>i don't need a doppo face mask to show that i ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>2020-01-02 18:57:22</td>\n",
+       "      <td>LoverBoy_iKon</td>\n",
+       "      <td>I see a Hot toddy, face mask, and warm bath in...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>2020-01-02 18:57:16</td>\n",
+       "      <td>QueenDouble_U</td>\n",
+       "      <td>Putting a face mask while watching Case File n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>2020-01-02 18:57:01</td>\n",
+       "      <td>zombii_yuurei</td>\n",
+       "      <td>😺✏ — oh LOL WHOOPS but also to answer that, my...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>2020-01-02 18:56:57</td>\n",
+       "      <td>FaerieWhings</td>\n",
+       "      <td>His mask is coming off.</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>2020-01-02 18:56:54</td>\n",
+       "      <td>MikeCappella98</td>\n",
+       "      <td>Hey Masae....is Majorca’s Mask good</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>2020-01-02 18:56:50</td>\n",
+       "      <td>theddo96</td>\n",
+       "      <td>We are maybe half an hour to an hour into Vict...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>2020-01-02 18:56:50</td>\n",
+       "      <td>kswanti</td>\n",
+       "      <td>thats bc they r DUMB why does he PUFF UP LIKE ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>2020-01-02 18:56:39</td>\n",
+       "      <td>zootcar_ebooks</td>\n",
+       "      <td>The recording of Trout Mask Replica  https://t...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>2020-01-02 18:56:24</td>\n",
+       "      <td>hadyoubigtime</td>\n",
+       "      <td>walking out of my local cvs with a bronchitis ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>2020-01-02 18:56:11</td>\n",
+       "      <td>JojoEnSurvet</td>\n",
+       "      <td>The Mask reste et restera mon film favoris all...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2020-01-02 18:56:06</td>\n",
+       "      <td>SamBisePoet</td>\n",
+       "      <td>My resolution is to follow my curiosities wher...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2020-01-02 18:55:53</td>\n",
+       "      <td>BonnyMsB</td>\n",
+       "      <td>Fire blankets, extinguishers, P2 masks and doo...</td>\n",
+       "      <td>[#canberrasmoke, #nswfires, #australiaburns]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2020-01-02 18:55:34</td>\n",
+       "      <td>krzhope</td>\n",
+       "      <td>Oh no. Keep safe. Maybe you should wear mask n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>2020-01-02 18:55:30</td>\n",
+       "      <td>PenceElectric</td>\n",
+       "      <td>Californians tried and failed countless times ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-03 18:59:58</td>\n",
+       "      <td>xoulis2004</td>\n",
+       "      <td>Not even.....for letting you know i have the m...</td>\n",
+       "      <td>[#kukluxklan]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-03 18:59:32</td>\n",
+       "      <td>TheEljayJohnsen</td>\n",
+       "      <td>The current one is very easy to breath in. I c...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-03 18:59:29</td>\n",
+       "      <td>mernino2k2</td>\n",
+       "      <td>It was just a thought. When the aura comes, th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-03 18:59:19</td>\n",
+       "      <td>Mask_310</td>\n",
+       "      <td>Remember when everyone used  http://ask.fm  ? 😂</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-03 18:59:08</td>\n",
+       "      <td>RepassBrian18</td>\n",
+       "      <td>Loved the maroon, white, orange.  really wish ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2020-01-03 18:59:06</td>\n",
+       "      <td>MammyRaging</td>\n",
+       "      <td>With all due respect, we're a country mirrorin...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2020-01-03 18:58:59</td>\n",
+       "      <td>beracing18</td>\n",
+       "      <td>He needs to ponce around in a Jacinda Ardern m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2020-01-03 18:58:42</td>\n",
+       "      <td>killer_kriss</td>\n",
+       "      <td>Im not mad. It was supposed to be a gas mask b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2020-01-03 18:58:24</td>\n",
+       "      <td>ILoveEvilEnigma</td>\n",
+       "      <td>Seems to be. And the only one who posted it to...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2020-01-03 18:58:21</td>\n",
+       "      <td>longhair3000</td>\n",
+       "      <td>I really am...seriously....CONSIDERING...payin...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   date         username  \\\n",
+       "0   2020-01-02 18:59:50         jaeminhd   \n",
+       "1   2020-01-02 18:59:47  MatiasI42363639   \n",
+       "2   2020-01-02 18:59:46    beautyftbless   \n",
+       "3   2020-01-02 18:59:44    DCSportsNexus   \n",
+       "4   2020-01-02 18:59:41  CyclopediaBrain   \n",
+       "5   2020-01-02 18:59:30       JadeFindom   \n",
+       "6   2020-01-02 18:59:17    magical_pride   \n",
+       "7   2020-01-02 18:58:56       fary_sarah   \n",
+       "8   2020-01-02 18:58:54      Cinnamonaes   \n",
+       "9   2020-01-02 18:58:49    amoralorealis   \n",
+       "10  2020-01-02 18:58:45       exaggerism   \n",
+       "11  2020-01-02 18:58:35        liviiraee   \n",
+       "12  2020-01-02 18:58:30   thinkasklisten   \n",
+       "13  2020-01-02 18:58:27   forrestfireart   \n",
+       "14  2020-01-02 18:58:24         falsekod   \n",
+       "15  2020-01-02 18:58:23          _Kuro8_   \n",
+       "16  2020-01-02 18:58:20     ravenfirefox   \n",
+       "17  2020-01-02 18:57:59        orianne_x   \n",
+       "18  2020-01-02 18:57:59     iamdncollins   \n",
+       "19  2020-01-02 18:57:58  alexhammerstone   \n",
+       "20  2020-01-02 18:57:51      BlackMagePY   \n",
+       "21  2020-01-02 18:57:41       CamHarvey2   \n",
+       "22  2020-01-02 18:57:37  HendrikRochefo1   \n",
+       "23  2020-01-02 18:57:30       swaggfacee   \n",
+       "24  2020-01-02 18:57:28    Cyberneticist   \n",
+       "25  2020-01-02 18:57:23        juzajelly   \n",
+       "26  2020-01-02 18:57:22    LoverBoy_iKon   \n",
+       "27  2020-01-02 18:57:16    QueenDouble_U   \n",
+       "28  2020-01-02 18:57:01    zombii_yuurei   \n",
+       "29  2020-01-02 18:56:57     FaerieWhings   \n",
+       "30  2020-01-02 18:56:54   MikeCappella98   \n",
+       "31  2020-01-02 18:56:50         theddo96   \n",
+       "32  2020-01-02 18:56:50          kswanti   \n",
+       "33  2020-01-02 18:56:39   zootcar_ebooks   \n",
+       "34  2020-01-02 18:56:24    hadyoubigtime   \n",
+       "35  2020-01-02 18:56:11     JojoEnSurvet   \n",
+       "36  2020-01-02 18:56:06      SamBisePoet   \n",
+       "37  2020-01-02 18:55:53         BonnyMsB   \n",
+       "38  2020-01-02 18:55:34          krzhope   \n",
+       "39  2020-01-02 18:55:30    PenceElectric   \n",
+       "0   2020-01-03 18:59:58       xoulis2004   \n",
+       "1   2020-01-03 18:59:32  TheEljayJohnsen   \n",
+       "2   2020-01-03 18:59:29       mernino2k2   \n",
+       "3   2020-01-03 18:59:19         Mask_310   \n",
+       "4   2020-01-03 18:59:08    RepassBrian18   \n",
+       "5   2020-01-03 18:59:06      MammyRaging   \n",
+       "6   2020-01-03 18:58:59       beracing18   \n",
+       "7   2020-01-03 18:58:42     killer_kriss   \n",
+       "8   2020-01-03 18:58:24  ILoveEvilEnigma   \n",
+       "9   2020-01-03 18:58:21     longhair3000   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "0   many of the places of my childhood have been b...   \n",
+       "1   It really bothers me that in TLJ Kylo killed S...   \n",
+       "2   For combination skin try: \\n* The pore cleansi...   \n",
+       "3   Who else was shocked when the Mandalorian remo...   \n",
+       "4   What even is the thing in the lower right? A w...   \n",
+       "5   Looking at you makes me feel ill, from now on ...   \n",
+       "6   I am also doing another MASKS thing which I am...   \n",
+       "7   Any visits to Australia again soon? Any mask h...   \n",
+       "8   I’m getting weepy online about Dimitri’s chara...   \n",
+       "9   Yep, I have an African Mask plant that’s super...   \n",
+       "10                mask my toxicity with less toxicity   \n",
+       "11  For me, slowing down when cleansing/removing m...   \n",
+       "12  But it’s misleading. It reads as though there ...   \n",
+       "13                              Where's the mask tho?   \n",
+       "14  i firmly believe that at some point in the wri...   \n",
+       "15                   Where'd you get the Payday mask?   \n",
+       "16  My boss at my daytime job is supplying P2 Mask...   \n",
+       "17  currently sittin with a face mask on lookin li...   \n",
+       "18  Mom demands recall after Yes To unicorn face m...   \n",
+       "19  Bunch of guys wearing Halloween masks pitching...   \n",
+       "20  Ah yes I remember how terrified they made me i...   \n",
+       "21  Everyone around me is getting ill and I’m scar...   \n",
+       "22  I think that is in the category 'better than n...   \n",
+       "23  Idk why all da fine girls gotta be on pc lmao ...   \n",
+       "24  Very Interesting! Was the second mask a telepo...   \n",
+       "25  i don't need a doppo face mask to show that i ...   \n",
+       "26  I see a Hot toddy, face mask, and warm bath in...   \n",
+       "27  Putting a face mask while watching Case File n...   \n",
+       "28  😺✏ — oh LOL WHOOPS but also to answer that, my...   \n",
+       "29                            His mask is coming off.   \n",
+       "30                Hey Masae....is Majorca’s Mask good   \n",
+       "31  We are maybe half an hour to an hour into Vict...   \n",
+       "32  thats bc they r DUMB why does he PUFF UP LIKE ...   \n",
+       "33  The recording of Trout Mask Replica  https://t...   \n",
+       "34  walking out of my local cvs with a bronchitis ...   \n",
+       "35  The Mask reste et restera mon film favoris all...   \n",
+       "36  My resolution is to follow my curiosities wher...   \n",
+       "37  Fire blankets, extinguishers, P2 masks and doo...   \n",
+       "38  Oh no. Keep safe. Maybe you should wear mask n...   \n",
+       "39  Californians tried and failed countless times ...   \n",
+       "0   Not even.....for letting you know i have the m...   \n",
+       "1   The current one is very easy to breath in. I c...   \n",
+       "2   It was just a thought. When the aura comes, th...   \n",
+       "3     Remember when everyone used  http://ask.fm  ? 😂   \n",
+       "4   Loved the maroon, white, orange.  really wish ...   \n",
+       "5   With all due respect, we're a country mirrorin...   \n",
+       "6   He needs to ponce around in a Jacinda Ardern m...   \n",
+       "7   Im not mad. It was supposed to be a gas mask b...   \n",
+       "8   Seems to be. And the only one who posted it to...   \n",
+       "9   I really am...seriously....CONSIDERING...payin...   \n",
+       "\n",
+       "                                        hashtags  nlikes  nreplies  retweet  \\\n",
+       "0                                             []       1         1    False   \n",
+       "1                                             []       0         0    False   \n",
+       "2                                             []       0         0    False   \n",
+       "3                                             []       3         0    False   \n",
+       "4                                             []       9         3    False   \n",
+       "5                                             []       6         0    False   \n",
+       "6                                             []       1         0    False   \n",
+       "7                                             []       0         0    False   \n",
+       "8                                             []       0         0    False   \n",
+       "9                                             []       1         0    False   \n",
+       "10                                            []       0         0    False   \n",
+       "11                                            []       0         0    False   \n",
+       "12                                            []       4         1    False   \n",
+       "13                                            []       0         1    False   \n",
+       "14                                            []       1         1    False   \n",
+       "15                                            []       1         1    False   \n",
+       "16                                            []       0         0    False   \n",
+       "17                                            []       4         0    False   \n",
+       "18                                            []       0         0    False   \n",
+       "19                                            []       5         1    False   \n",
+       "20                                            []       0         0    False   \n",
+       "21                                            []       4         1    False   \n",
+       "22                                            []       1         0    False   \n",
+       "23                                            []       7         0    False   \n",
+       "24                                            []       0         1    False   \n",
+       "25                                            []       1         1    False   \n",
+       "26                                            []       0         1    False   \n",
+       "27                                            []       0         0    False   \n",
+       "28                                            []       0         0    False   \n",
+       "29                                            []       1         0    False   \n",
+       "30                                            []       0         0    False   \n",
+       "31                                            []      12         1    False   \n",
+       "32                                            []       1         1    False   \n",
+       "33                                            []       0         0    False   \n",
+       "34                                            []       7         0    False   \n",
+       "35                                            []       2         0    False   \n",
+       "36                                            []       0         0    False   \n",
+       "37  [#canberrasmoke, #nswfires, #australiaburns]       1         0    False   \n",
+       "38                                            []       1         1    False   \n",
+       "39                                            []       0         0    False   \n",
+       "0                                  [#kukluxklan]       0         0    False   \n",
+       "1                                             []       6         2    False   \n",
+       "2                                             []       0         0    False   \n",
+       "3                                             []       1         0    False   \n",
+       "4                                             []       4         1    False   \n",
+       "5                                             []       5         2    False   \n",
+       "6                                             []       0         0    False   \n",
+       "7                                             []       0         0    False   \n",
+       "8                                             []       2         0    False   \n",
+       "9                                             []       0         0    False   \n",
+       "\n",
+       "    nretweets  \n",
+       "0           0  \n",
+       "1           0  \n",
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+       "9           0  "
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']][40:90]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 8)"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks = masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]\n",
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>2020-01-01 18:56:32</td>\n",
+       "      <td>PaigeHollmeyee</td>\n",
+       "      <td>Okay maybe I spoke too soon because he took ca...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
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+       "      <td>False</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2020-01-01 18:56:02</td>\n",
+       "      <td>KawainessStore</td>\n",
+       "      <td>Happy New Year!\\n\\nattack masks link below\\n h...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>34</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>Founding_stock</td>\n",
+       "      <td>Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>ZeRealPlagueDoc</td>\n",
+       "      <td>If any Plague Doctor has this mask on, they ar...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>2020-01-01 18:55:37</td>\n",
+       "      <td>trishtweety</td>\n",
+       "      <td>Awww, GS should have sent them gas masks, the ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-02 18:59:50</td>\n",
+       "      <td>jaeminhd</td>\n",
+       "      <td>many of the places of my childhood have been b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-02 18:59:47</td>\n",
+       "      <td>MatiasI42363639</td>\n",
+       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-02 18:59:46</td>\n",
+       "      <td>beautyftbless</td>\n",
+       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-02 18:59:44</td>\n",
+       "      <td>DCSportsNexus</td>\n",
+       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-02 18:59:41</td>\n",
+       "      <td>CyclopediaBrain</td>\n",
+       "      <td>What even is the thing in the lower right? A w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   date         username  \\\n",
+       "35  2020-01-01 18:56:32   PaigeHollmeyee   \n",
+       "36  2020-01-01 18:56:02   KawainessStore   \n",
+       "37  2020-01-01 18:55:40   Founding_stock   \n",
+       "38  2020-01-01 18:55:40  ZeRealPlagueDoc   \n",
+       "39  2020-01-01 18:55:37      trishtweety   \n",
+       "0   2020-01-02 18:59:50         jaeminhd   \n",
+       "1   2020-01-02 18:59:47  MatiasI42363639   \n",
+       "2   2020-01-02 18:59:46    beautyftbless   \n",
+       "3   2020-01-02 18:59:44    DCSportsNexus   \n",
+       "4   2020-01-02 18:59:41  CyclopediaBrain   \n",
+       "\n",
+       "                                                tweet hashtags  nlikes  \\\n",
+       "35  Okay maybe I spoke too soon because he took ca...       []       3   \n",
+       "36  Happy New Year!\\n\\nattack masks link below\\n h...       []      34   \n",
+       "37  Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...       []       1   \n",
+       "38  If any Plague Doctor has this mask on, they ar...       []       2   \n",
+       "39  Awww, GS should have sent them gas masks, the ...       []       5   \n",
+       "0   many of the places of my childhood have been b...       []       1   \n",
+       "1   It really bothers me that in TLJ Kylo killed S...       []       0   \n",
+       "2   For combination skin try: \\n* The pore cleansi...       []       0   \n",
+       "3   Who else was shocked when the Mandalorian remo...       []       3   \n",
+       "4   What even is the thing in the lower right? A w...       []       9   \n",
+       "\n",
+       "    nreplies  retweet  nretweets  \n",
+       "35         0    False          0  \n",
+       "36         0    False          3  \n",
+       "37         1    False          0  \n",
+       "38         0    False          0  \n",
+       "39         0    False          0  \n",
+       "0          1    False          0  \n",
+       "1          0    False          0  \n",
+       "2          0    False          0  \n",
+       "3          0    False          0  \n",
+       "4          3    False          0  "
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks[35:45]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "      <td>2020-01-01 18:56:32</td>\n",
+       "      <td>PaigeHollmeyee</td>\n",
+       "      <td>Okay maybe I spoke too soon because he took ca...</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2020-01-01 18:56:02</td>\n",
+       "      <td>KawainessStore</td>\n",
+       "      <td>Happy New Year!\\n\\nattack masks link below\\n h...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>34</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>Founding_stock</td>\n",
+       "      <td>Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2020-01-01 18:55:40</td>\n",
+       "      <td>ZeRealPlagueDoc</td>\n",
+       "      <td>If any Plague Doctor has this mask on, they ar...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>2020-01-01 18:55:37</td>\n",
+       "      <td>trishtweety</td>\n",
+       "      <td>Awww, GS should have sent them gas masks, the ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>2020-01-02 18:59:50</td>\n",
+       "      <td>jaeminhd</td>\n",
+       "      <td>many of the places of my childhood have been b...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>2020-01-02 18:59:47</td>\n",
+       "      <td>MatiasI42363639</td>\n",
+       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>2020-01-02 18:59:46</td>\n",
+       "      <td>beautyftbless</td>\n",
+       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>2020-01-02 18:59:44</td>\n",
+       "      <td>DCSportsNexus</td>\n",
+       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>2020-01-02 18:59:41</td>\n",
+       "      <td>CyclopediaBrain</td>\n",
+       "      <td>What even is the thing in the lower right? A w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   date         username  \\\n",
+       "35  2020-01-01 18:56:32   PaigeHollmeyee   \n",
+       "36  2020-01-01 18:56:02   KawainessStore   \n",
+       "37  2020-01-01 18:55:40   Founding_stock   \n",
+       "38  2020-01-01 18:55:40  ZeRealPlagueDoc   \n",
+       "39  2020-01-01 18:55:37      trishtweety   \n",
+       "40  2020-01-02 18:59:50         jaeminhd   \n",
+       "41  2020-01-02 18:59:47  MatiasI42363639   \n",
+       "42  2020-01-02 18:59:46    beautyftbless   \n",
+       "43  2020-01-02 18:59:44    DCSportsNexus   \n",
+       "44  2020-01-02 18:59:41  CyclopediaBrain   \n",
+       "\n",
+       "                                                tweet hashtags  nlikes  \\\n",
+       "35  Okay maybe I spoke too soon because he took ca...       []       3   \n",
+       "36  Happy New Year!\\n\\nattack masks link below\\n h...       []      34   \n",
+       "37  Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...       []       1   \n",
+       "38  If any Plague Doctor has this mask on, they ar...       []       2   \n",
+       "39  Awww, GS should have sent them gas masks, the ...       []       5   \n",
+       "40  many of the places of my childhood have been b...       []       1   \n",
+       "41  It really bothers me that in TLJ Kylo killed S...       []       0   \n",
+       "42  For combination skin try: \\n* The pore cleansi...       []       0   \n",
+       "43  Who else was shocked when the Mandalorian remo...       []       3   \n",
+       "44  What even is the thing in the lower right? A w...       []       9   \n",
+       "\n",
+       "    nreplies  retweet  nretweets  \n",
+       "35         0    False          0  \n",
+       "36         0    False          3  \n",
+       "37         1    False          0  \n",
+       "38         0    False          0  \n",
+       "39         0    False          0  \n",
+       "40         1    False          0  \n",
+       "41         0    False          0  \n",
+       "42         0    False          0  \n",
+       "43         0    False          0  \n",
+       "44         3    False          0  "
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.reset_index(drop=True, inplace=True)\n",
+    "masks[35:45]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [date, username, tweet, hashtags, nlikes, nreplies, retweet, nretweets, polarity, subjectivity]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks[masks.retweet == True]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'SpongeBob: slides down Sand Mountain\\nThe tree in the oxygen mask:  pic.twitter.com/1evndouW3Y'"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_tweet = masks.loc[0, 'tweet']\n",
+    "test_tweet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import nltk\n",
+    "from textblob import TextBlob"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sentiment(polarity=-0.15555555555555559, subjectivity=0.2888888888888889)"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test = TextBlob(test_tweet)\n",
+    "test.sentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.15555555555555559"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "TextBlob(test_tweet).sentiment.polarity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity  \n",
+       "0      0.288889  \n",
+       "1      0.425000  \n",
+       "2      0.000000  \n",
+       "3      0.000000  \n",
+       "4      0.648409  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
+    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dtype('O')"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts['date'].dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 date  polarity  subjectivity\n",
+       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
+       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
+       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
+       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
+       "4 2020-01-01 18:59:24  0.271591      0.648409"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
+    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
+    "masks_ts.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
+       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
+       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
+       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
+       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
+       "               ...\n",
+       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
+       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
+       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
+       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts.set_index('date', inplace=True)\n",
+    "masks_ts.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.004358</td>\n",
+       "      <td>0.369293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>-0.001089</td>\n",
+       "      <td>0.379444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.111727</td>\n",
+       "      <td>0.440448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.040365</td>\n",
+       "      <td>0.383991</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.047351</td>\n",
+       "      <td>0.418947</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            polarity  subjectivity\n",
+       "date                              \n",
+       "2020-01-01  0.004358      0.369293\n",
+       "2020-01-02 -0.001089      0.379444\n",
+       "2020-01-03  0.111727      0.440448\n",
+       "2020-01-04  0.040365      0.383991\n",
+       "2020-01-05  0.047351      0.418947"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts_daily = masks_ts.resample('D').mean()\n",
+    "masks_ts_daily.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sentiment(polarity=0.0, subjectivity=0.0)"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_tweet = masks.loc[2, 'tweet']\n",
+    "test = TextBlob(test_tweet)\n",
+    "test.sentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(test_tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "testimonial = TextBlob(\"Textblob is amazingly simple to use. What great fun!\")\n",
+    ">>> testimonial.sentiment\n",
+    "Sentiment(polarity=0.39166666666666666, subjectivity=0.4357142857142857)\n",
+    ">>> testimonial.sentiment.polarity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['EDT'], dtype=object)"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df.drop('id', 'conversation_id', 'created_at', 'timezone', 'place', 'cashtags', 'geo', 'source', 'user_rt_id', 'user_rt', 'retweet_id', 'retweet_date', 'translate', 'trans_src')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "unhashable type: 'list'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-17-c50c5a321dd0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmask_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcashtags\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1814\u001b[0m         \u001b[0mCategories\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mb\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1815\u001b[0m         \"\"\"\n\u001b[0;32m-> 1816\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1817\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1818\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/base.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1244\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1245\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1246\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munique1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1247\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1248\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/algorithms.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    380\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    381\u001b[0m     \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhtable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 382\u001b[0;31m     \u001b[0muniques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    383\u001b[0m     \u001b[0muniques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_reconstruct_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muniques\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moriginal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moriginal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    384\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0muniques\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.unique\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable._unique\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
+     ]
+    }
+   ],
+   "source": [
+    "mask_df.cashtags.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "12992"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(mask_df['date'].unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-01-01'"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df['date'][0][0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'18:59:56'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_df['date'][0][11:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime\n",
+    "\n",
+    "dates = []\n",
+    "start_date = datetime.date(2020, 1, 1)\n",
+    "end_date = datetime.date(2020, 6, 11)\n",
+    "delta = datetime.timedelta(days=1)\n",
+    "\n",
+    "while start_date <= end_date:\n",
+    "    dates.append(str(start_date))\n",
+    "    start_date += delta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-04-10'"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dates[100]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-04-10'"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "str(dates[100])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "163"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(dates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "75"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "regex = \"#[mM]ask\"\n",
+    "series = masks[\"tweet\"]\n",
+    "test = series.str.contains(regex)\n",
+    "test.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "121     Oh how I would love if a fellow silicone maske...\n",
+       "266     It's happening! Lucy's Noelle sculpt is starti...\n",
+       "374     The mask for my new DnD character came 😍🤙🏻 #ma...\n",
+       "843     Prepping Hair ASMR Chewing Gum | Trying Collag...\n",
+       "976     Top Trumps! #trump #mask #maskedsinger #presid...\n",
+       "                              ...                        \n",
+       "6036    My idiot Governor ( @GovernorVA ) issued an ex...\n",
+       "6101    #Kobe & #GiGi custom #Mask 😷  pic.twitter.com/...\n",
+       "6163    @realDonaldTrump Please hold the Republican co...\n",
+       "6285    Please check out @WHO guidelines on mask weari...\n",
+       "6474    📺Masks on!📺@AZManufacturing's @agilbreath_az a...\n",
+       "Name: tweet, Length: 75, dtype: object"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks[masks['tweet'].str.contains(r'#[mM]ask')]['tweet']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply a first round of text cleaning techniques\n",
+    "import re\n",
+    "import string\n",
+    "\n",
+    "def clean_text_round1(text):\n",
+    "    '''Make text lowercase, remove text in square brackets, remove punctuation and remove words containing numbers.'''\n",
+    "    text = text.lower()\n",
+    "    text = re.sub('\\[.*?\\]', '', text)\n",
+    "    text = re.sub('[%s]' % re.escape(string.punctuation), '', text)\n",
+    "    text = re.sub('\\w*\\d\\w*', '', text)\n",
+    "    return text\n",
+    "\n",
+    "round1 = lambda x: clean_text_round1(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[\".My daughter has been sick with a nasty cough for weeks\\nShe ignores my advice about wearing a mask\\nCan any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\",\n",
+       " \"😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159\\xa0…\",\n",
+       " 'y’all: her energy is something ELSE \\ny’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on',\n",
+       " 'We all have some kind of mask. \\nJust how much of one,\\nThat’s different for each of us.  pic.twitter.com/BkoMZ98rlo',\n",
+       " 'The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.']"
+      ]
+     },
+     "execution_count": 118,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tweets = [tweet for tweet in masks['tweet']]\n",
+    "tweets[5:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "{'neg': 0.099, 'neu': 0.901, 'pos': 0.0, 'compound': -0.431}\n",
+      "{'neg': 0.119, 'neu': 0.881, 'pos': 0.0, 'compound': -0.3182}\n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "{'neg': 0.143, 'neu': 0.584, 'pos': 0.273, 'compound': 0.9178}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "for tweet in tweets[:5]:\n",
+    "    vs = analyzer.polarity_scores(tweet)\n",
+    "    print(f\"{str(vs)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SpongeBob: slides down Sand Mountain\n",
+      "The tree in the oxygen mask:  pic.twitter.com/1evndouW3Y\n",
+      "Started 2020 with freshly washed bed sheets, a face mask, and beginning to think about getting my shit back together again. Long way to go, and face masks ain’t gonna cut it, but they’re a canny start.\n",
+      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n",
+      "The mask  pic.twitter.com/vHi9pC9S62\n",
+      "I know what you mean, I've been depressed too but I just mask my pain to let others be happy with themselves lol Rough holiday season 4 me, Thanksgiving, Christmas & now New Years Day alone for the majority of em, gotta keep pushin, never give up! \n",
+      "\n",
+      " 🎉🥳🎊*****#hugs*****🎊🥳🎉\n",
+      ".My daughter has been sick with a nasty cough for weeks\n",
+      "She ignores my advice about wearing a mask\n",
+      "Can any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\n",
+      "😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159 …\n",
+      "y’all: her energy is something ELSE \n",
+      "y’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on\n",
+      "We all have some kind of mask. \n",
+      "Just how much of one,\n",
+      "That’s different for each of us.  pic.twitter.com/BkoMZ98rlo\n",
+      "The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[:10]:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 10)"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def mask_noun_finder(text):\n",
+    "    pos = TextBlob(text)\n",
+    "    for tag in pos.tags:\n",
+    "        if 'mask' in tag[0]:\n",
+    "            return tag[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "      <th>pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity pos  \n",
+       "0      0.288889  NN  \n",
+       "1      0.425000  NN  \n",
+       "2      0.000000  VB  \n",
+       "3      0.000000  NN  \n",
+       "4      0.648409  VB  "
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['pos'] = masks['tweet'].apply(mask_noun_finder)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "NN     0.541166\n",
+       "NNS    0.384220\n",
+       "JJ     0.027616\n",
+       "VB     0.022642\n",
+       "VBZ    0.007547\n",
+       "VBP    0.004974\n",
+       "VBN    0.003602\n",
+       "VBD    0.002916\n",
+       "NNP    0.001715\n",
+       "SYM    0.000858\n",
+       "VBG    0.000686\n",
+       "FW     0.000686\n",
+       "RB     0.000515\n",
+       "PRP    0.000343\n",
+       "IN     0.000343\n",
+       "JJR    0.000172\n",
+       "Name: pos, dtype: float64"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.pos.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.042367"
+      ]
+     },
+     "execution_count": 140,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "0.022642+0.007547+0.004974+0.003602+0.002916+0.000686"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Any visits to Australia again soon? Any mask hiding we should know about 😱😂😘\n",
+      "Jim Jordan Pulls Off Pelosi's Impeachment Mask - 3 Pieces Of Evidence Show Her Plan Has Fallen Apart  https://gopdailybrief.com/jordan-pelosi-impeachment-mask/ …\n",
+      "I can’t wait until @Pestily ‘s mask gets put in the game. That will stay in my stash forever too 🤣\n",
+      "I thought it was those mask guys from Masters  pic.twitter.com/sePJ8sZtIY\n",
+      "Reading @meet_cleo roast me on my @tjmaxx sheet mask obsession like:  pic.twitter.com/eyvruptkzE\n",
+      "Hair mask time with a glass of wine🥴\n",
+      "ENVIE MILK HAIR MASK AND HAIR SHAMPOO 250ML  https://hairdyecoloruk.wordpress.com/2020/01/13/envie-milk-hair-mask-and-hair-shampoo-250ml-6/ … pic.twitter.com/wTKRktVTgo\n",
+      "ENVIE COLLAGENE AFTER COLOR HAIR MASK 1000ML  https://hairdyecoloruk.wordpress.com/2020/01/13/envie-collagene-after-color-hair-mask-1000ml-4/ … pic.twitter.com/YadAEzYvwQ\n",
+      "Fall In Love With This Miracle Eye Mask  https://www.bloglovin.com/blogs/filling-blanksr-14421519/fall-in-love-with-this-miracle-eye-mask-7282562957 … on @bloglovin\n",
+      "what would you do if, in the final of masked singer, queen bee took her mask off and it was... the honest vocal coach!\n",
+      "Whipped Priming Masks  https://www.trendhunter.com/trends/green-goddess-sleeping-mask … #Fashion pic.twitter.com/H4UTRPL1Fu\n",
+      "Yes To Inc. Issues Voluntary Recall of Product Due to Skin Irritation Complaints ‘Grapefruit Vitamin C Glow Boosting Unicorn Paper Mask’  https://masscentral.com/yes-to-inc-issues-voluntary-recall-of-product-due-to-skin-irritation-complaints-grapefruit-vitamin-c-glow-boosting-unicorn-paper-mask/ … pic.twitter.com/Jd9eOCRcpl\n",
+      "Cardi B's Blinged-Out Mask Took 36 Hours, Cost About $7,000 via @TMZ #I♥️It http://www.tmz.com/2020/01/17/cardi-b-mask-blinged-out-paris-fashion-show-couture …\n",
+      "Blush oils mask\n",
+      "#PUSHAwardsMaharrrrs\n",
+      "#FumiyaSankai\n",
+      "@fumfumfum3\n",
+      "help me out bro, I'm looking through your tweets and don't see a single one where you are concerned about antifa and them violating mask laws.\n",
+      "Someone give me some face mask recommendations\n",
+      "Mask up?\n",
+      " https://www.wweek.com/news/courts/2020/01/22/rioting-protesters-wearing-masks-could-face-up-to-10-years-in-prison-under-new-oregon-senate-bill/?fbclid=IwAR2sfUdgsCNj3qD42jJ2VdpALRe_L3vgNx1MeUQjLb-XfzDzKEiJjBYOtCk …\n",
+      "HKSAR gov’s trying “hard” to fight #WuhanPneumonia:\n",
+      "1. Appeal against court’s decision of unconstitutional anti-mask law;\n",
+      "2. Toll-free access via Hong Kong-Zhuhai-Macau Bridge;\n",
+      "3. To receive #Wuhan trains and flights, train passengers need not to do health declaration.\n",
+      "Speechless https://twitter.com/simonshen_glos/status/1220049638012534787 …\n",
+      "Many in China wear Them, however Do Masks Block Coronavirus?->  https://newsmim.com/many-in-china-wear-them-however-do-masks-block-coronavirus.html …\n",
+      "#News #Breaking_News #Breaking #Latest - pic.twitter.com/gn2HOhC3pX\n",
+      "Jim Carrey Will Do The Mask 2 Only Under One Specific Circumstance  https://movieweb.com/the-mask-2-jim-carrey/ …\n",
+      "Mad we missed out on those scenes only because they made Goten & Trunks support only.\n",
+      "\n",
+      "Goten vs Trunks was a fun fight, coulda had some mighty mask side stuff as well.\n",
+      "\n",
+      "Trunks side mission where you search DBs while Goku is transforming instead of a 5s transforming scene  pic.twitter.com/Q4wPyNzPGT\n",
+      "JIM CARREY Says He Will Do a MASK Sequel Under This Condition\n",
+      " https://comicbook.com/movies/2020/01/24/jim-carrey-says-he-will-do-a-mask-sequel-under-this-condition/ … pic.twitter.com/8ZCyjuqEIV\n",
+      "Tipe : kombi to oily\n",
+      "Face wash : senka perfect white clay\n",
+      "Toner : wardah primary skin hidrating booster\n",
+      "Moisturizer : emina bright stuff\n",
+      "Ss : blm nemu yg cocok (mau coba nivea)\n",
+      "Milk cleanser : viva greentea\n",
+      "Masker : garnier yoghurt sleeping mask\n",
+      "Exfo : -\n",
+      "[Cashel Crusader Standard Fly Mask No Ears or Nose - Size: Horse] has been posted on  https://www.tobem.com/petsazon/cashel-crusader-standard-fly-mask-no-ears-or-nose-size-horse/ … - Buy Cashel Crusader Standard Horse Fly Mask No Ears or Nose: Masks – ✓ FREE DELIVERY possible on eligible purchases  pic.twitter.com/7uhdrv6uJA\n",
+      "hope wear mask become standard - thwart facial recognition\n",
+      "Food, Sanitizers and Mask Supplies Getting WIPED OUT Across America as Fears Rise of Coronavirus Quarantines in the USA  https://www.naturalnews.com/2020-01-27-food-sanitizers-mask-supplies-wiped-out-quarantines-wuhan-coronavirus.html …\n",
+      "There's an anti-mask law??\n",
+      "Can't rule out if that's HK customs problem, Gmarket's problem, or Korean customs/shops problem just based on this message, evidence insufficient.\n",
+      "\n",
+      "But when Taiwan begun to limit mask exports saving them for local demand, expect other countries follow.\n",
+      "Would it be so difficult for you guys to wear mask n glasses at the meeting - since you already know it's asymptomatic for 2 weeks!\n",
+      "Face Masks: What Doctors Say About Their Role In Containing Coronavirus  https://www.npr.org/sections/goatsandsoda/2020/01/29/800531753/face-masks-what-doctors-say-about-their-role-in-containing-coronavirus?utm_campaign=storyshare&utm_source=twitter.com&utm_medium=social …\n",
+      "Coronavirus Explained: Everything You Wanted To Know But Were Afraid To Lift Your Mask To Ask | Zero Hedge  https://www.zerohedge.com/health/coronavirus-explained-everything-you-wanted-know-were-afraid-lift-your-mask-ask …\n",
+      "I can’t either. He was feeling that mask way to much.\n",
+      "So masks clearly help you not spread germs, but do they even do anything to keep you from getting sick? Unless you are worried about people coughing directly in your open mouth, what do they even do?\n",
+      "not even going but i dont think this masks thing is a bad idea at all. id rather be safe than sorry, i know its all for precautions.. but can subk at least provide the masks??\n",
+      "NTs feel threatened by you unmasking and ceasing to hide your autism. They think you’re becoming more autistic when in reality you’re letting it show instead of stifling it. They try to shame and coerce you back into your mask. Keep it off anyway!!!\n",
+      "Coronavirus N95 Face Mask  https://www.modernbeyond.com/products/coronavirus-n95-filter-mask …\n",
+      "20200208. D-331🌠\n",
+      "Have a fun Saturday... Do not forget to wear mask 😷 if you are going out.. Otherwise have fun indoors.. 😉😄\n",
+      "@ZEA_Hyungsik\n",
+      " http://www.hyungsikness.com \n",
+      "#parkhyungsik #박형식 #パクヒョンシク #朴炯植 #hyungsik #hyungsikness…  https://www.instagram.com/p/B8SPLWQpnYR/?igshid=ezn85d4t1o26 …\n",
+      "Chinese Woman Attacked In NYC For Wearing Face Mask – Here’s Why It Wasn’t Racism | Tea Party 247  https://www.teaparty247.org/chinese-woman-attacked-in-nyc-for-wearing-face-mask-heres-why-it-wasnt-racism/ …\n",
+      "Urban Dictionary: Mask hysteria  http://mask-hysteria.urbanup.com/14702760#.XkHuUAMw614.twitter …\n",
+      "L Or al Professionnel S rie Expert Nutrifier Mask 250ml 8.4 Fl Oz.  https://perfumegiftsets.site/l-or-al-professionnel-s-rie-expert-nutrifier-mask-250ml-8-4-fl-oz/ … pic.twitter.com/zPVCjmHYXm\n",
+      "The solution is simple; commission a new, more distinct logo that incorporates something that is hard to steal both in the silhouette and the design itself. For example, add a half-mask guard to the helmet with a little chip or scratch out of it.\n",
+      "Bluetooth Sleeping Eye Mask Headphones,ERNSTING-4.2 Wireless Bluetooth Headset Music Travel Sleep Headset Built-in Microphone is Adjustable and Washable,Perfect for Travel Sleeping Grey  https://onearheadphones.site/bluetooth-sleeping-eye-mask-headphonesernsting-4-2-wireless-bluetooth-headset-music-travel-sleep-headset-built-in-microphone-is-adjustable-and-washableperfect-for-travel-sleeping-grey/ … pic.twitter.com/44QhdY3x7R\n",
+      "Me: *puts on mask*\n",
+      "Student:Why you wearing a mask \n",
+      "(I’ve told this student several times why I wear a face mask during Horticulture) \n",
+      "Me:  Why do I wear a mask during this class ?\n",
+      "Student: because you have earth disease ! \n",
+      "Me:I have ALLERGIES!!!!! \n",
+      "😂😩😂\n",
+      "And of course, their masks—like 99% of the masks we see people wearing in China—are useless. Sad. #covid19 pic.twitter.com/HCptRUfRnK\n",
+      "Mass Media Mask Masonic Control  https://envirowatchrangitikei.wordpress.com/2020/02/20/mass-media-mask-masonic-control/ …\n",
+      "NEW Resmed F30i Mask  https://cpapclinic.ca/cpap-sleep-apnea/2020/02/resmed-f30i-mask/ …\n",
+      "Homemade Wheatgerm Face Mask Recipes For Glowing Skin  https://www.bloglovin.com/blogs/natures-best-home-remedies-14475233/homemade-wheatgerm-face-mask-recipes-for-7339858483 … on @bloglovin\n",
+      "NY Now’s Biggest Accessory Face Mask Protection  https://t2conline.com/ny-nows-biggest-accessory-face-mask-protection/ …\n",
+      "Gyul..... Sampe ada hashtag only for u to wear mask lho.... Hahahah nerbener #한결아_마스크를_끼자 #our_hangyul_please_wear_mask\n",
+      "Ha Ha, it's only an excuse to hide the fact of mask shortage.\n",
+      "The Masked Singer Season 3: Which Celebrities Are Behind the Masks?  https://tvshowsfinder.com/breaking-news/the-masked-singer-season-3-which-celebrities-are-behind-the-masks/ …\n",
+      "Mask Sales Up In Alliston\n",
+      " https://www.southsimcoetoday.ca/2020/02/27/masks-available-at-home-hardware/ …\n",
+      "10 ml Moisturizing Professional Hair Mask  https://bellestuff.com/10-ml-moisturizing-professional-hair-mask/ … pic.twitter.com/4BGByDkSZO\n",
+      "Eh ... I’ll be good y’all keep on wearing those mask tho  https://twitter.com/Pog_llins/status/1234002206485090304 …\n",
+      "New post: Morocco Rhassoul Clay Facial Body Mask Anti-aging Detoxify Pore Cleansing+ Brush  http://bestbodydetoxify.net/articles/morocco-rhassoul-clay-facial-body-mask-anti-aging-detoxify-pore-cleansing-brush.html/ …\n",
+      "1 2 Motherfuckers Beat - Dj Mask par Dj Mask - Beats Music via #soundcloud https://soundcloud.com/dj_mask/1-2-motherfuckers-beat-dj-mask?utm_source=soundcloud&utm_campaign=wtshare&utm_medium=Twitter&utm_content= https%3A//soundcloud.com/dj_mask/1-2-motherfuckers-beat-dj-mask …\n",
+      "The Best Overnight or Sleeping Masks For Every Skin Type  https://nudieglow.com/blogs/nudieblog/the-best-overnight-masks-for-every-skin-type …\n",
+      "Botanical Beauty : ROSEMARY PURIFYING MASK:  http://botanicalbeautystyle.blogspot.com/2019/11/rosemary-purifying-mask.html … pic.twitter.com/UQUxhK5W9e\n",
+      "I brought cleaning groceries last wk & not affected much by panic buying. Lucky I hv face-mask coz I brought some 4 HK family in Jan but they don't need it. We can keep 4 worst case...\n",
+      "\n",
+      "I suggested 4 contingency plan to my employer a wk ago & they can set up remote workstation\n",
+      "Matt Gaetz Wore Gas Mask To Mock Coronavirus Concerns. One Of His Constituents Just Died From It.  https://www.yahoo.com/huffpost/matt-gaetz-gas-mask-mock-coronavirus-concerns-one-of-his-constituents-just-died-from-it-213840665.html …\n",
+      "#MattGaetz Wore Gas Mask To Mock Coronavirus Concerns. One Of His Constituents Just Died From It.\n",
+      " https://www.huffpost.com/entry/matt-gaetz-gas-mask-mock-coronavirus-concerns-one-of-his-constituents-just-died-from-it_n_5e64067cc5b68d61645545d6 …\n",
+      "\n",
+      "Oh that's so #Republican 🇷🇺of you!\n",
+      "\n",
+      "#Florida #toiletpaperpanic #CoronavirusUSA #COVID19 #coronavirus #BlueWave2020\n",
+      "#coronavirus \n",
+      "If #Mask you must:\n",
+      " https://rizziallen.wordpress.com/2020/03/02/corona-virus-mask/ …\n",
+      "Here is why @mattgaetz will always be a jackass!!\n",
+      "\n",
+      "From the article below:\n",
+      "\n",
+      "He also reflected on the gas-mask stunt. \n",
+      "\n",
+      "\"I wasn't making light of the situation,\" Gaetz told the Pensacola News Journal. \"I only wish I had worn the gas mask at CPAC.\"  https://twitter.com/crampell/status/1237488512666132483 …\n",
+      "#coronavirus #virus 50pcs KN95 Mouth Mask 3- Layer Ply Disposable Anti-Dust Surgical Medical Masks Anti-Virus  https://survival.technology/products/50pcs-kn95-meltblown-mouth-mask-3-layer-ply-disposable-anti-dust-surgical-medical-earloop-masks-anti-virus …\n",
+      "Matt Gaetz, Who Mocked Coronavirus by Wearing Gas Mask on House Floor, Is Now in Quarantine  https://www.rollingstone.com/politics/politics-news/matt-gaetz-coronavirus-gas-mask-quarantine-964697/ … via @RollingStoneANOTHER SMART REPUBLICAN\n",
+      "Senate Democrats Obstruct Bipartisan Legislation to Address Shortage of Respirators and Face Masks During Coronavirus Outbreak  https://www.thegatewaypundit.com/2020/03/senate-democrats-obstruct-bipartisan-legislation-to-address-shortage-of-respirators-and-face-masks-during-coronavirus-outbreak/ … via @gatewaypundit\n",
+      "Senate Democrats Obstruct Bipartisan Legislation to Address Shortage of Respirators and Face Masks During Coronavirus Outbreak  https://www.thegatewaypundit.com/2020/03/senate-democrats-obstruct-bipartisan-legislation-to-address-shortage-of-respirators-and-face-masks-during-coronavirus-outbreak/ … via @gatewaypundit\n",
+      "Kn95 Face Mask Anti-Virus Protection n95 pm2.5 (5pcs set)  https://shoppinwithme.com/product/kn95-face-mask-anti-virus-protection-n95-pm2-5-5pcs-set/ …  Ships 3/20\n",
+      "Thanks to all those face mask hoarders, many hospitals are now running very short or completely OUT of N-95 masks, face shields etc. Not where i work (yet) but Full PPE rec by CDC unavailable already in some hospitals to those coming in contact w confirmed COVID-19 patients. 😞\n",
+      "Long as they wasn’t all n your face they usually have face mask anyway tho lol but man sis playin wit fire huh 🤔\n",
+      "If your Star Wars 3D printing doesn't work out, drop by and help with my Lego space station. Bring 2 masks please. ;-)\n",
+      "Calling All People Who Sew And Make: You Can Help Solve 2020 N95-Type Mask Shortage - Forbes  https://www.forbes.com/sites/tjmccue/2020/03/20/calling-all-people-who-sew-and-make-you-can-help-solve-2020-n95-type-mask-shortage/ … via @GoogleNews\n",
+      "White House Won’t Say When More Masks Will Be Available To Health Care Workers  http://eathealthyandlivehealthy.com/healthcare/white-house-wont-say-when-more-masks-will-be-available-to-health-care-workers/ … pic.twitter.com/uxmpEvSo3f\n",
+      "Are you ready for this? 😱 We present you Kawaii Cartoon Style Eye Mask!  https://ikawaiishop.com/kawaii-cartoon-style-eye-mask/ … $13.00\n",
+      "#kawaiicrafts #kawaiipink  https://ikawaiishop.com/kawaii-cartoon-style-eye-mask/ … Kawaii Cartoon Style Eye Mask  pic.twitter.com/jI9XQHM6HR\n",
+      "Clinique City Block Purifying Charcoal Clay Mask + Scrub 100 ml Maske Reinigung  https://www.bestsellerindex.com/2020/03/26/clinique-city-block-purifying-charcoal-clay-mask-scrub-100-ml-maske-reinigung/ … pic.twitter.com/uXtSHzi5Ug\n",
+      "Hmm... SEIU Union in California Suddenly Finds Mysterious Stash of 39 Million Face Masks -- 3 Days After AG Bill Barr Announces They're Going After Hoarders  https://www.thegatewaypundit.com/2020/03/hmm-seiu-union-in-california-suddenly-finds-mysterious-stash-of-39-million-face-masks-3-days-after-ag-bill-barr-announces-theyre-going-after-hoarders/ …\n",
+      "Japan:\n",
+      "strong social norms around civil obedience\n",
+      "and mask-wearing\n",
+      " https://www.ft.com/coronavirus-latest … pic.twitter.com/skupjOwyhN\n",
+      "Leftists are dumping criminals into our streets!\n",
+      "\n",
+      "Inmates Released From Rikers Over Pandemic Get Cell Phones, Cab Fare, Hotel Rooms While Employees Go Without Masks via @dloesch https://danaloesch.com/inmates-released-from-rikers-over-pandemic-get-cell-phones-cab-fare-hotel-rooms-while-employees-go-without-masks/ …\n",
+      "Masks=good   https://medium.com/@thejanellemj/please-join-me-in-wearing-a-mask-71e0e3f4fe4a …\n",
+      "Carmakers To The Rescue — N95 Mask Mass Production  https://cleantechnica.com/2020/03/29/carmakers-to-the-rescue-n95-mask-mass-production/ … pic.twitter.com/vtjiwey3YW\n",
+      "Tucker Carlson to Govt: Stop Lying to Us About Face Masks  https://www.infowars.com/tucker-carlson-to-govt-stop-lying-to-us-about-face-masks/ …\n",
+      "Who Needs to Wear a Mask During the Coronavirus Pandemic?  http://999ktdy.com/who-needs-to-wear-a-mask-during-the-coronavirus-pandemic/?trackback=twitter_mobile … @999ktdy\n",
+      "Praying for a speedy recovery for all physically affected by this pandemic.\n",
+      "\n",
+      "#Coronavirus #epidemic #outbreak #worldwide #virus #health #quarantine #socialdistance #socialdistancing #pandemic #us #mask #masks…  https://www.instagram.com/p/B-ataDxBAH3/?igshid=q3pbcxd83ju0 …\n",
+      "Hawaii Lt. Governor: Everyone Should Wear A Mask When Leaving Home | Zero Hedge  https://www.zerohedge.com/health/hawaii-lt-governor-everyone-should-wear-mask-when-leaving-home …\n",
+      "COVID-19: Premier Doug Ford seen personally picking up mask donation from dental office  https://nationalpost.com/news/canada/covid-19-premier-doug-ford-seen-personally-picking-up-mask-donation-from-dental-office/ …\n",
+      "Many Mask Factories in China Don’t Meet Sanitation, Quality Standards: Chinese Broker  https://www.theepochtimes.com/many-mask-factories-in-china-dont-meet-sanitation-quality-standards-chinese-broker_3302425.html … via @epochtimes\n",
+      "Calif. Sheriff: We’ll Arrest Anyone Not Wearing a Mask  https://www.infowars.com/calif-sheriff-well-arrest-anyone-not-wearing-a-mask/ …\n",
+      "The too much gov comment has merit and would be a whole different interesting convo but the mask thing ur understanding is a bit off.  Masks only really work tho if everyone in a space does it just like social distancing\n",
+      "Doorbell video captures violent Illinois home invasion which left coronavirus mask-wearing suspect dead  https://fxn.ws/34vqGzI  #FoxNews\n",
+      "Eye rolling during mask fit testing.  pic.twitter.com/JrjvQ9SOsl\n",
+      "#hashtag1 Sleeping Travel Mask  https://www.safitravelers.com/product/sleeping-travel-mask/ …  https://www.safitravelers.com  pic.twitter.com/kbI2w3EkEX\n",
+      "China didn't do anything till the doctor exposed it he died\n",
+      "they made a test to see who is positive it works 50%\n",
+      "they had meds to stop it kind of who knows\n",
+      "they started to sell mask gloves machines gowns\n",
+      "they are making billions who would put sanctions on that\n",
+      "You do the math🧐🤪  pic.twitter.com/MQUI1tRHn0\n",
+      "Careful with Masks | Doctor’s Diary with Dr. Gene Dorio  https://scvnews.com/careful-with-masks-doctors-diary-with-dr-gene-dorio/ … pic.twitter.com/qrUNQK9KWI\n",
+      "Dig around a little. You probably already have something mask-worthy at home.  https://hubs.ly/H0ptYFx0 \n",
+      "When you want to enjoy some fresh air....#mask #coveredbytheblood pic.twitter.com/JT02XoRP0w\n",
+      "Masks will be mandatory on all MTA transit starting Friday!  https://nypost.com/2020/04/15/masks-will-be-mandatory-on-all-mta-transit-starting-friday/ …\n",
+      "McBride High, Ninth Grader Earn $1,000 For 3D Mask Project  https://www.gazettes.com/news/coronavirus/mcbride-high-ninth-grader-earn-1-000-for-3d-mask-project/article_d62b390c-7f7a-11ea-a660-b3086cf824fe.html?utm_medium=social&utm_source=twitter&utm_campaign=user-share … via @gruniongazette\n",
+      "Niggas don’t believe in drunk elephant...still fuccn with them face mask tho\n",
+      "Accessory | Purassic Park | Mask Cover – Arm The Animals Clothing Co. ⁦@StevenRayMorris⁩ ⁦@ThePurrrcast⁩ https://www.armtheanimals.com/products/accessory-purassic-park-mask …\n",
+      "I'm tired of people who think that I only need to west a mask indoors.  \n",
+      "No.  From the car until I get home and can detox.  🙄\n",
+      "New curfew hours islandwide, mask wearing now mandatory\n",
+      " http://ow.ly/H3bH30qzoUl \n",
+      "Bentonite (Indian Healing), Moroccan (Red), French (Green), Kaolin (White), Activated Charcoal/Bentonite Clay Powders – 5 Multi Pak Set for Making Mud Masks for Skin, Hair, Face/Facial and Body  http://foreverbusinessowner.net/bentonite-indian-healing-moroccan-red-french-green-kaolin-white-activated-charcoal-bentonite-clay-powders-5-multi-pak-set-for-making-mud-masks-for-skin-hair-face-facial-and-body/ … pic.twitter.com/lPKcmpvivY\n",
+      "✔ Don't drink fish tank cleaner\n",
+      "✔ No ingesting disinfectant\n",
+      "✔ Shooting up with bleach is bad\n",
+      "✔  Non-MD Hannity's medical advice kills people\n",
+      "✔ Don't elect dimwitted, reality TV show hosting,  sociopathic sexual assailants president\n",
+      "✔ Wash hands, wear mask\n",
+      "\n",
+      "Anything else?  https://twitter.com/MollyJongFast/status/1253465460005392384 …\n",
+      "THE AGE OF OCEAN LINERS Washable Face Mask\n",
+      "Trans-Atlantic Travel Art Deco Art - New York City Harbor\n",
+      "Original Fine Art by Dana Vacca\n",
+      "@ Fine Art America\n",
+      "\n",
+      " https://fineartamerica.com/featured/retro-art-deco-ocean-liner-travel-dana-vacca.html?product=face-mask … pic.twitter.com/a5BLKGi13Q\n",
+      "I‘m an essential employee in the medical field. The governor’s mask wasn’t put on sideways. He is wearing a N95 mask that has two straps that wrap around your head above and below the ear, not each ear. But, he did put it on upside down. The metal nose strip was at his chin.🤦‍♀️\n",
+      "3-no. Maybe mildly, irritated by your “masks-unrelated” answer, because I thought you were upset that I agree in wearing a mask (obeying the rule), and to me it looked like you were not willing to do the same (the “can you say the same” was related to obeying the rule).\n",
+      "#ZAZZLE Pretty Face Mask  https://www.zazzle.com/sage_green_leaves_purple_blush_pink_flowers_cloth_face_mask-256427947980597072?rf=238246640349475913 …\n",
+      "WH Adviser: China Knew What Was Coming, Stockpiled Masks Before World Learned COVID Dangers  https://www.westernjournal.com/wh-adviser-china-knew-coming-stockpiled-masks-world-learned-covid-dangers/?utm_source=Twitter&utm_medium=PostTopSharingButtons&utm_campaign=websitesharingbuttons …\n",
+      "Finally able to get masks - $26 for a pkg of 20, 3 ply - first time I put one on the elastic broke - Yup Made in China  https://twitter.com/theWPMyth/status/1254992659170709512 …\n",
+      "\"Wellesley Man Using 23 Printers To Churn Out Face Masks | Wellesley, MA Patch\"  https://patch.com/massachusetts/wellesley/wellesley-man-using-23-printers-churn-out-face-masks?utm_source=amp&utm_campaign=amp&utm_medium=mobile …\n",
+      "Get my art printed on awesome products. Support me at Redbubble #RBandME:   https://www.redbubble.com/i/mask/Hanibal-by-Llewynn1225/47431094.9G0D8?asc=u … #findyourthing #redbubble #Masks #COVID__19\n",
+      "NO JOKE: CA Governor Newsom Orders $1 Billion Worth Of Masks From Chinese Car Company  https://trendingpolitics.com/no-joke-ca-governor-newsom-orders-1-billion-worth-of-masks-from-chinese-car-company/ …\n",
+      "Todrick Hall releases star-studded video for ‘Mask, Gloves, Soap, Scrubs’  https://www.queerty.com/todrick-hall-releases-star-studded-video-masks-gloves-soaps-scrubs-20200430#.XqtmaMOy5Tc.twitter …\n",
+      "Get my art printed on awesome products. Support me at Redbubble #RBandME:   https://www.redbubble.com/i/mask/Field-at-sunrise-by-NicoleK-design/30316300.9G0D8?asc=u … #findyourthing #redbubble #field #sunset #mask\n",
+      "Hey Mask Squad Fans! Please support our Mission by purchasing Mask Squad gear! Adults and Kids sizes available NOW! T-Shirt sale proceeds benefit our Mission and efforts.  https://themasksquad.spiritsale.com  #masks4all #masksquad #PPE #somersetnjmasksquad\n",
+      "N95 Masks are Disposable. Doctors are Not. \n",
+      " https://midcenturymodernmag.com/n95-masks-are-disposable-not-doctors-efcb4d69d89?gi=d69347512f2 …\n",
+      "Most of the ppl I’ve seen with mask aren’t doing anything to really stop the spread or protect themselves. Seems pointless at this point tbh\n",
+      "Rajasthan To Impose Fines For Not Wearing Masks In Public Amid Pandemic  https://pakkikhabar.in/rajasthan-to-impose-fines-for-not-wearing-masks-in-public-amid-pandemic/ … pic.twitter.com/AfVZU52s5t\n",
+      "I don't care. Here is a mask full of COVID-19. This is the Native Americans' revenge on the white man,\n",
+      "So, this guy, with ungloved hands & unmasked face handles a mask then puts it back in the lot possibly contaminating all the others. Way to go! 🤦‍♀️😷 Meanwhile, #45 & others are unmasked & not practicing physical distancing. The music just puts it over the top. Geesh.  https://twitter.com/atrupar/status/1257814281330069504 …\n",
+      "Jaime King in a Face Mask Leaves a Liquor Store in Hollywood 04/27/2020  http://onceleb.wiki/jaime-king-in-a-face-mask-leaves-a-liquor-store-in-hollywood-04-27-2020/ …\n",
+      "Victoria's Secret Introduces Line Of More Revealing Masks  https://babylonbee.com/news/victorias-secret-introduces-new-more-revealing-masks … via @TheBabylonBee\n",
+      "How to Set Up Face ID to Work With a Face Mask.\n",
+      "\n",
+      "#tech #faceID #facemask #howto #tips https://blog.macsales.com/61377-how-to-set-up-face-id-to-work-with-a-face-mask/ …\n",
+      "A lot of us don't want to get sick when an unmasked libertarian spews out his viral load on us while we're in line at the Costco or wherever.  WEAR. A. MASK.\n",
+      "4) embarrassing her daughter for wanting to buy something and it was awks af and tHEN\n",
+      "5) she was yelling at the cashier about gloves even tho the most important thing to wear is a mask/yelled about the long line \n",
+      "6) my cashier didnt have his mask covering his nose so now...RIP ME\n",
+      "But, when I wear it, I do it by my own choice, not because the government told me to. As should everybody. That is just common sense.\n",
+      "\n",
+      "If there is a contingent of people who are anti-mask, well, they are just a bunch of redneck dweebs\n",
+      "Yes, Hanging Your Mask From Your Mirror is Illegal in #NewJersey  http://literock969.com/yes-hanging-your-mask-from-your-mirror-is-illegal-in-new-jersey/?trackback=twitter_mobile … @literock969\n",
+      "Fox News journalist fires back at ABC News' Jon Karl for mask-shaming him at the White House  https://www.theblaze.com/news/john-roberts-vs-jon-karl-mask-shaming …\n",
+      "Agree people should obey the policies (whether imposed by individual store owners or mayors). But ok also to object to those policies. (Most doctors I know think mask wearing is silly and that it should be a choice outside of very limited circumstances.)\n",
+      "So Caesars palce is opening.and the staff has a mask requirment but the customers won't.\n",
+      "\n",
+      "How does rhat make any sense at all because it's she same highly contagious fucking disease. \n",
+      "\n",
+      "Workers don't MATTER  is what I heard.\n",
+      "\"Who’s Enforcing Mask Rules? Often Retail Workers, and They’re Getting Hurt\"  https://www.nytimes.com/2020/05/15/us/coronavirus-masks-violence.html?smid=tw-share …\n",
+      "You should take some lessons on how to wear a mask- look simple when you don’t get it\n",
+      "Kim Kardashian West Debuts New Face Masks From Her SKIMS Shapewear Line – The Shade Room  https://techinfinitylife.info/kim-kardashian-west-debuts-new-face-masks-from-her-skims-shapewear-line-the-shade-room/ …\n",
+      "Mask-Police CNN Reporter Kaitlan Collins Caught Removing Her Mask at Presser as Soon as She Thought Cameras Were Off (VIDEO) \n",
+      "- https://fullmagazine.us/mask-police-cnn-reporter-kaitlan-collins-caught-removing-her-mask-at-presser-as-soon-as-she-thought-cameras-were-off-video/ …\n",
+      "- The Gateway Pundit\n",
+      "\n",
+      "Mask-police CNN reporter Kaitlan Collins was caught removing her mask at a White House press briefing...  pic.twitter.com/sx0GMdgY9X\n",
+      ".3 micrometer particles are the hardest to capture that is why HEPA filters are designed to capture .3 @ 99.97 efficiency. Scanned filters are 99.99. Particles smaller than .3 are easily captured as they vibrate. PS cloth mask don’t stop anything.\n",
+      "Mask-Police CNN Reporter Kaitlan Collins Caught Removing Her Mask at Presser as Soon as She Thought Cameras Were Off (VIDEO)  https://www.thegatewaypundit.com/2020/05/mask-police-cnn-reporter-kaitlan-collins-caught-removing-mask-presser-soon-thought-cameras-off-video/?utm_source=Twitter&utm_campaign=websitesharingbuttons … via @gatewaypundit\n",
+      "Lockdown khtam tou krdia but mask compulsory nhi kia Govt ne... iss liye ab patients barh rhay hain #LockdownEnd\n",
+      "Dumber Than Dirt: Dayton, OH To Ban The Wearing Of Masks While Committing A Crime…  http://www.digifection.com/2020/05/17/dumber-than-dirt-dayton-oh-to-ban-the-wearing-of-masks-while-committing-a-crime/ …\n",
+      "Solidarity and Masks  https://mikethemadbiologist.com/2020/05/18/solidarity-and-masks/ … via @mikethemadbiol\n",
+      "Mask-free customer berates Costco employee as he gets kicked out: ‘I woke up in a free country’ -  https://www.rawstory.com/2020/05/mask-free-customer-berates-costco-employee-as-he-gets-kicked-out-i-woke-up-in-a-free-country/ …\n",
+      "New Orleans jeweler designs American flag face-mask charm to raise money for homeless veterans\n",
+      "\n",
+      " https://www.foxnews.com/us/new-orleans-jeweler-american-flag-face-mask-charm-homeless-veterans …\n",
+      "GOP lawmaker kicked out of Illinois legislative session over refusal to wear mask  https://www.washingtonpost.com/nation/2020/05/21/illinois-gop-lawmaker-removed-mask/ …\n",
+      "Pretty sure Trump doesn't  understand  how masks work. His fear is that it makes his face disappear.\n",
+      "Donald Trump Wears Mask at Ford Plant  https://www.tmz.com/2020/05/21/donald-trump-wears-presidential-mask-ford-plant-covid-19-coronavirus/ … via @TMZ\n",
+      "Why are Walmart's and Home Depot's open and small businesses are not?  What the heck are we doing to this country????? ALSO If masks work, why do businesses need to be closed??????\n",
+      "\n",
+      "If they don’t work, why are we forced to wear them?????? \n",
+      "\n",
+      "PICK ONE Gretchen. #LiberateMichigan\n",
+      "Why are Walmart's and Home Depot's open and small businesses are not?  What the heck are we doing to this country????? ALSO If masks work, why do businesses need to be closed??????\n",
+      "\n",
+      "If they don’t work, why are we forced to wear them?????? \n",
+      "\n",
+      "PICK ONE Gretchen. #LiberateMichigan\n",
+      "Trump Dismisses Face Masks as ‘Politically Correct’  https://politicalwire.com/2020/05/26/trump-dismisses-face-masks-as-politically-correct/ … via @politicalwire\n",
+      "Virginia to Mandate Masks After Northam Caught Taking Selfie w/o Mask  https://www.breitbart.com/politics/2020/05/26/virginia-makes-wearing-masks-mandatory-in-public/ … via @BreitbartNews\n",
+      "JOHN HINDERAKER: Mask Mania  https://www.powerlineblog.com/archives/2020/05/mask-mania.php?utm_source=twitter&utm_medium=sw&utm_campaign=sw … via @powerlineUS\n",
+      "Since this mask thing started, It's been hard to get a good blow job.\n",
+      "we wear masks every fucking day.\n",
+      "people are dying from sickness.\n",
+      "people are dying completely innocent.\n",
+      "people are being murdered.\n",
+      "for nothing.\n",
+      "we are the people. all of us. no matter skin.\n",
+      "we all are here to keep someone going.\n",
+      "but fuck pigs\n",
+      "Minneapolis Mayor Asks Rioters To Wear Face Masks And Practice Social Distancing As City BURNS  https://www.dailywire.com/news/minneapolis-mayor-asks-rioters-to-wear-face-masks-and-practice-social-distancing-as-city-burns/ …\n",
+      "Ottawa to become 1st Canadian city to make masks 'mandatory' on transit  https://ca.news.yahoo.com/ottawa-become-1st-canadian-city-205817981.html?soc_src=hl-viewer&soc_trk=tw … via @YahooCanada\n",
+      "I Cant Breathe Masks, Reusable, Cycling (1PC)  https://hometept.com/products/i-cant-breathe-masks--reusable--cycling--1pc-?variant=29142419?source=twitter …\n",
+      "And wear your damn mask😷  https://twitter.com/UtahCoronavirus/status/1268652252174188550 …\n",
+      "We're going to learn about about outdoor transmission of the virus from these protests. Will we see many new infections (not just in people who were sent to jails)? Who gets infected and what were the mask-wearing percentages in their crowds? We don't know for sure.\n",
+      "Michigan- almost 6K New today?\n",
+      "They had no mask demonstrations at their capital, a little over 14 days ago- this shouldn’t surprise anyone. \n",
+      "\n",
+      "FL- 1,305 new- opened beaches that same weekend.\n",
+      "People just don't understand. COVID19 doesn't care if you're protesting for social justice or a haircut.\n",
+      "\n",
+      "If we're going to allow masked protests then let people wear masks to hair salons, churches, sporting events. Be logical, people, because right now we're not.\n",
+      "So mask mandate or not? @BORUSG said no specifically on that and yet this release says all will be “expected” to wear masks? Can I enforce an “expectation” in class? Is a classroom with 10 students in need of masks? Will we be having 1/3 of class per day in person?\n",
+      "Makeup's been holding up to mask-wearing\n",
+      "\n",
+      "Betty Boop x @IPSY Eyeshadow Palette, Lip Gloss\n",
+      "@HipDotCosmetics Legendary Palette\n",
+      "@GerardCosmetics Starlet Palette\n",
+      "@stilacosmetics Stay All Day Liquid Liner, Huge Extreme Lash Mascara\n",
+      "@BenefitBeauty Precisely My Brow, 3D Browtones pic.twitter.com/mj6Zqx5geM\n",
+      "I still remember how strange it seemed, in my first masks-required job, to have conversations with people when I couldn’t see half their faces. But by day 3 it was totally normal.\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks[masks.pos == 'JJ']['tweet']:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/josh-twitter_scraping_notebook.ipynb b/josh-twitter_scraping_notebook.ipynb
index 999c4ea..047fa59 100644
--- a/josh-twitter_scraping_notebook.ipynb
+++ b/josh-twitter_scraping_notebook.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 159,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -16,7 +16,16 @@
     "nest_asyncio.apply()\n",
     "\n",
     "import matplotlib\n",
-    "%matplotlib inline"
+    "%matplotlib inline\n",
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "import nltk\n",
+    "from nltk import RegexpTokenizer\n",
+    "from nltk.corpus import stopwords\n",
+    "from textblob import TextBlob\n",
+    "import re\n",
+    "import string\n",
+    "import emoji"
    ]
   },
   {
@@ -39,7 +48,7 @@
     "    c.Until = until\n",
     "    c.Limit = limit\n",
     "    c.Pandas = True\n",
-    "#     c.Hide_output = True\n",
+    "    c.Hide_output = True\n",
     "    twint.run.Search(c)\n",
     "    df = twint.storage.panda.Tweets_df\n",
     "    return df"
@@ -47,898 +56,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "CRITICAL:root:twint.output:checkData:copyrightedTweet\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 1.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 1.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 8.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 8.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 27.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 27.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 64.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 64.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 125.0 secs\n",
-      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
-      "sleeping for 216.0 secs\n",
-      "ERROR:asyncio:Task exception was never retrieved\n",
-      "future: <Task finished coro=<Twint.main() done, defined at /opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py:147> exception=TimeoutError()>\n",
-      "Traceback (most recent call last):\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 149, in Response\n",
-      "    return await response.text()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/client_reqrep.py\", line 1009, in text\n",
-      "    await self.read()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/client_reqrep.py\", line 973, in read\n",
-      "    self._body = await self.content.read()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 358, in read\n",
-      "    block = await self.readany()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 380, in readany\n",
-      "    await self._wait('readany')\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/aiohttp/streams.py\", line 296, in _wait\n",
-      "    await waiter\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/futures.py\", line 327, in __iter__\n",
-      "    yield self  # This tells Task to wait for completion.\n",
-      "concurrent.futures._base.CancelledError\n",
-      "\n",
-      "During handling of the above exception, another exception occurred:\n",
-      "\n",
-      "Traceback (most recent call last):\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 182, in _step\n",
-      "    result = coro.throw(exc)\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 154, in main\n",
-      "    await task\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 250, in _wakeup\n",
-      "    future.result()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/asyncio/tasks.py\", line 182, in _step\n",
-      "    result = coro.throw(exc)\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 177, in run\n",
-      "    await self.tweets()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 137, in tweets\n",
-      "    await self.Feed()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/run.py\", line 45, in Feed\n",
-      "    response = await get.RequestUrl(self.config, self.init, headers=[(\"User-Agent\", self.user_agent)])\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 119, in RequestUrl\n",
-      "    response = await Request(_url, params=params, connector=_connector, headers=headers)\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 143, in Request\n",
-      "    return await Response(session, url, params)\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/twint/get.py\", line 149, in Response\n",
-      "    return await response.text()\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/async_timeout/__init__.py\", line 45, in __exit__\n",
-      "    self._do_exit(exc_type)\n",
-      "  File \"/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/async_timeout/__init__.py\", line 92, in _do_exit\n",
-      "    raise asyncio.TimeoutError\n",
-      "concurrent.futures._base.TimeoutError\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 4min 32s, sys: 1.6 s, total: 4min 34s\n",
-      "Wall time: 17min 15s\n"
-     ]
-    }
-   ],
-   "source": [
-    "%time mask_df = twint_search(search='(mask OR masks)',\n",
-    "                             username=None,\n",
-    "                             since='2020-01-01',\n",
-    "                             until='2020-01-02',\n",
-    "                             limit=None)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "14563"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(mask_df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['id', 'conversation_id', 'created_at', 'date', 'timezone', 'place',\n",
-       "       'tweet', 'hashtags', 'cashtags', 'user_id', 'user_id_str', 'username',\n",
-       "       'name', 'day', 'hour', 'link', 'retweet', 'nlikes', 'nreplies',\n",
-       "       'nretweets', 'quote_url', 'search', 'near', 'geo', 'source',\n",
-       "       'user_rt_id', 'user_rt', 'retweet_id', 'reply_to', 'retweet_date',\n",
-       "       'translate', 'trans_src', 'trans_dest'],\n",
-       "      dtype='object')"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mask_df.keys()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>timezone</th>\n",
-       "      <th>place</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>cashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>...</th>\n",
-       "      <th>geo</th>\n",
-       "      <th>source</th>\n",
-       "      <th>user_rt_id</th>\n",
-       "      <th>user_rt</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>retweet_date</th>\n",
-       "      <th>translate</th>\n",
-       "      <th>trans_src</th>\n",
-       "      <th>trans_dest</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1212523886329380865</td>\n",
-       "      <td>1212523886329380865</td>\n",
-       "      <td>1577923196000</td>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td></td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1099209894295678977</td>\n",
-       "      <td>...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1212523880558026753</td>\n",
-       "      <td>1212523880558026753</td>\n",
-       "      <td>1577923195000</td>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td></td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>57777541</td>\n",
-       "      <td>...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1212523828888449024</td>\n",
-       "      <td>1212421340281614338</td>\n",
-       "      <td>1577923183000</td>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td></td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>346609834</td>\n",
-       "      <td>...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1212523807128186882</td>\n",
-       "      <td>1212402852011937792</td>\n",
-       "      <td>1577923177000</td>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td></td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1070005555777945600</td>\n",
-       "      <td>...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1212523752925229056</td>\n",
-       "      <td>1212512506838519811</td>\n",
-       "      <td>1577923164000</td>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>EDT</td>\n",
-       "      <td></td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>48659042</td>\n",
-       "      <td>...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 33 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                    id      conversation_id     created_at  \\\n",
-       "0  1212523886329380865  1212523886329380865  1577923196000   \n",
-       "1  1212523880558026753  1212523880558026753  1577923195000   \n",
-       "2  1212523828888449024  1212421340281614338  1577923183000   \n",
-       "3  1212523807128186882  1212402852011937792  1577923177000   \n",
-       "4  1212523752925229056  1212512506838519811  1577923164000   \n",
-       "\n",
-       "                  date timezone place  \\\n",
-       "0  2020-01-01 18:59:56      EDT         \n",
-       "1  2020-01-01 18:59:55      EDT         \n",
-       "2  2020-01-01 18:59:43      EDT         \n",
-       "3  2020-01-01 18:59:37      EDT         \n",
-       "4  2020-01-01 18:59:24      EDT         \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags cashtags              user_id  ... geo source  \\\n",
-       "0                        []       []  1099209894295678977  ...              \n",
-       "1                        []       []             57777541  ...              \n",
-       "2  [#classicjose, #coverup]       []            346609834  ...              \n",
-       "3                        []       []  1070005555777945600  ...              \n",
-       "4                   [#hugs]       []             48659042  ...              \n",
-       "\n",
-       "  user_rt_id  user_rt retweet_id  \\\n",
-       "0                                  \n",
-       "1                                  \n",
-       "2                                  \n",
-       "3                                  \n",
-       "4                                  \n",
-       "\n",
-       "                                            reply_to  retweet_date  translate  \\\n",
-       "0  [{'user_id': '1099209894295678977', 'username'...                            \n",
-       "1  [{'user_id': '57777541', 'username': 'standtal...                            \n",
-       "2  [{'user_id': '346609834', 'username': '5_Times...                            \n",
-       "3  [{'user_id': '1070005555777945600', 'username'...                            \n",
-       "4  [{'user_id': '48659042', 'username': 'IBdaSwee...                            \n",
-       "\n",
-       "   trans_src  trans_dest  \n",
-       "0                         \n",
-       "1                         \n",
-       "2                         \n",
-       "3                         \n",
-       "4                         \n",
-       "\n",
-       "[5 rows x 33 columns]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mask_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>search</th>\n",
-       "      <th>near</th>\n",
-       "      <th>geo</th>\n",
-       "      <th>source</th>\n",
-       "      <th>user_rt_id</th>\n",
-       "      <th>user_rt</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>retweet_date</th>\n",
-       "      <th>translate</th>\n",
-       "      <th>trans_src</th>\n",
-       "      <th>trans_dest</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14558</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1035381762', 'username': 'TessTe...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14559</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '307027730', 'username': 'lightni...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14560</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1151446262312558592', 'username'...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14561</th>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '25053299', 'username': 'FortuneM...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14562</th>\n",
-       "      <td>4</td>\n",
-       "      <td></td>\n",
-       "      <td>(mask OR masks)</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1078274007542054913', 'username'...</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>14563 rows × 14 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       nretweets quote_url           search near geo source user_rt_id  \\\n",
-       "0              0            (mask OR masks)                              \n",
-       "1              0            (mask OR masks)                              \n",
-       "2              0            (mask OR masks)                              \n",
-       "3              0            (mask OR masks)                              \n",
-       "4              0            (mask OR masks)                              \n",
-       "...          ...       ...              ...  ...  ..    ...        ...   \n",
-       "14558          0            (mask OR masks)                              \n",
-       "14559          0            (mask OR masks)                              \n",
-       "14560          0            (mask OR masks)                              \n",
-       "14561          0            (mask OR masks)                              \n",
-       "14562          4            (mask OR masks)                              \n",
-       "\n",
-       "      user_rt retweet_id                                           reply_to  \\\n",
-       "0                         [{'user_id': '1099209894295678977', 'username'...   \n",
-       "1                         [{'user_id': '57777541', 'username': 'standtal...   \n",
-       "2                         [{'user_id': '346609834', 'username': '5_Times...   \n",
-       "3                         [{'user_id': '1070005555777945600', 'username'...   \n",
-       "4                         [{'user_id': '48659042', 'username': 'IBdaSwee...   \n",
-       "...       ...        ...                                                ...   \n",
-       "14558                     [{'user_id': '1035381762', 'username': 'TessTe...   \n",
-       "14559                     [{'user_id': '307027730', 'username': 'lightni...   \n",
-       "14560                     [{'user_id': '1151446262312558592', 'username'...   \n",
-       "14561                     [{'user_id': '25053299', 'username': 'FortuneM...   \n",
-       "14562                     [{'user_id': '1078274007542054913', 'username'...   \n",
-       "\n",
-       "      retweet_date translate trans_src trans_dest  \n",
-       "0                                                  \n",
-       "1                                                  \n",
-       "2                                                  \n",
-       "3                                                  \n",
-       "4                                                  \n",
-       "...            ...       ...       ...        ...  \n",
-       "14558                                              \n",
-       "14559                                              \n",
-       "14560                                              \n",
-       "14561                                              \n",
-       "14562                                              \n",
-       "\n",
-       "[14563 rows x 14 columns]"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mask_df.iloc[:, 19:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [],
    "source": [
-    "mask_df_simp = mask_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]"
+    "def search_loop(start_date, end_date, search, username=None, limit=None):\n",
+    "    df = pd.DataFrame()\n",
+    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
+    "    for d in range(len(date_range) - 1):\n",
+    "        since = date_range[d].strftime('%Y-%m-%d')\n",
+    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, limit=limit)\n",
+    "        df = pd.concat([df, day_df])\n",
+    "    df.reset_index(drop=True, inplace=True)\n",
+    "    return df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2020-01-01 18:59:20</td>\n",
-       "      <td>jot_au</td>\n",
-       "      <td>.My daughter has been sick with a nasty cough ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>10</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2020-01-01 18:59:20</td>\n",
-       "      <td>EricaLScott</td>\n",
-       "      <td>😺✏ — Aside from butt masks (yes, those exist, ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2020-01-01 18:59:16</td>\n",
-       "      <td>fatxscorpio</td>\n",
-       "      <td>y’all: her energy is something ELSE \\ny’all: p...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2020-01-01 18:59:09</td>\n",
-       "      <td>_HaileyBay_</td>\n",
-       "      <td>We all have some kind of mask. \\nJust how much...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2020-01-01 18:58:57</td>\n",
-       "      <td>Sometimes_Sybil</td>\n",
-       "      <td>The market has moved on. Was given a \"detox sc...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  date         username  \\\n",
-       "0  2020-01-01 18:59:56        Matt04181   \n",
-       "1  2020-01-01 18:59:55       standtallx   \n",
-       "2  2020-01-01 18:59:43      5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37    kagura_shelby   \n",
-       "4  2020-01-01 18:59:24       IBdaSweet1   \n",
-       "5  2020-01-01 18:59:20           jot_au   \n",
-       "6  2020-01-01 18:59:20      EricaLScott   \n",
-       "7  2020-01-01 18:59:16      fatxscorpio   \n",
-       "8  2020-01-01 18:59:09      _HaileyBay_   \n",
-       "9  2020-01-01 18:58:57  Sometimes_Sybil   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "5  .My daughter has been sick with a nasty cough ...   \n",
-       "6  😺✏ — Aside from butt masks (yes, those exist, ...   \n",
-       "7  y’all: her energy is something ELSE \\ny’all: p...   \n",
-       "8  We all have some kind of mask. \\nJust how much...   \n",
-       "9  The market has moved on. Was given a \"detox sc...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
-       "0                        []       4         0    False          0  \n",
-       "1                        []       3         2    False          0  \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  \n",
-       "3                        []       3         0    False          0  \n",
-       "4                   [#hugs]       1         0    False          0  \n",
-       "5                        []      10         5    False          7  \n",
-       "6                        []       1         1    False          0  \n",
-       "7                        []       6         1    False          0  \n",
-       "8                        []       1         0    False          1  \n",
-       "9                        []       2         0    False          0  "
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mask_df_simp.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def search_loop(start_date, end_date, search, username=None, limit=None):\n",
-    "    df = pd.DataFrame()\n",
-    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
-    "    for d in range(len(date_range) - 1):\n",
-    "        since = date_range[d].strftime('%Y-%m-%d')\n",
-    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
-    "        day_df = twint_search(search=search, username=username, since=since, until=until, limit=limit)\n",
-    "        df = pd.concat([df, day_df])\n",
-    "    df.reset_index(inplace=True)\n",
-    "    return df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -1039,1392 +175,55 @@
        "2  2020-01-01 18:59:43    5_Times_LFC   \n",
        "3  2020-01-01 18:59:37  kagura_shelby   \n",
        "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
-       "0                        []       4         0    False          0  \n",
-       "1                        []       3         2    False          0  \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  \n",
-       "3                        []       3         0    False          0  \n",
-       "4                   [#hugs]       1         0    False          0  "
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks_df = search_loop(start_date='2020-01-01',\n",
-    "                       end_date='2020-06-11',\n",
-    "                       search='(mask OR masks) -(ski OR zelda OR majora OR majoras)',\n",
-    "                       username=None,\n",
-    "                       limit=25)\n",
-    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']].head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-02 18:59:50</td>\n",
-       "      <td>jaeminhd</td>\n",
-       "      <td>many of the places of my childhood have been b...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-02 18:59:47</td>\n",
-       "      <td>MatiasI42363639</td>\n",
-       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-02 18:59:46</td>\n",
-       "      <td>beautyftbless</td>\n",
-       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-02 18:59:44</td>\n",
-       "      <td>DCSportsNexus</td>\n",
-       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-02 18:59:41</td>\n",
-       "      <td>CyclopediaBrain</td>\n",
-       "      <td>What even is the thing in the lower right? A w...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>9</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2020-01-02 18:59:30</td>\n",
-       "      <td>JadeFindom</td>\n",
-       "      <td>Looking at you makes me feel ill, from now on ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2020-01-02 18:59:17</td>\n",
-       "      <td>magical_pride</td>\n",
-       "      <td>I am also doing another MASKS thing which I am...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2020-01-02 18:58:56</td>\n",
-       "      <td>fary_sarah</td>\n",
-       "      <td>Any visits to Australia again soon? Any mask h...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2020-01-02 18:58:54</td>\n",
-       "      <td>Cinnamonaes</td>\n",
-       "      <td>I’m getting weepy online about Dimitri’s chara...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2020-01-02 18:58:49</td>\n",
-       "      <td>amoralorealis</td>\n",
-       "      <td>Yep, I have an African Mask plant that’s super...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>2020-01-02 18:58:45</td>\n",
-       "      <td>exaggerism</td>\n",
-       "      <td>mask my toxicity with less toxicity</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>2020-01-02 18:58:35</td>\n",
-       "      <td>liviiraee</td>\n",
-       "      <td>For me, slowing down when cleansing/removing m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>2020-01-02 18:58:30</td>\n",
-       "      <td>thinkasklisten</td>\n",
-       "      <td>But it’s misleading. It reads as though there ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>2020-01-02 18:58:27</td>\n",
-       "      <td>forrestfireart</td>\n",
-       "      <td>Where's the mask tho?</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>2020-01-02 18:58:24</td>\n",
-       "      <td>falsekod</td>\n",
-       "      <td>i firmly believe that at some point in the wri...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>2020-01-02 18:58:23</td>\n",
-       "      <td>_Kuro8_</td>\n",
-       "      <td>Where'd you get the Payday mask?</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>2020-01-02 18:58:20</td>\n",
-       "      <td>ravenfirefox</td>\n",
-       "      <td>My boss at my daytime job is supplying P2 Mask...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>2020-01-02 18:57:59</td>\n",
-       "      <td>orianne_x</td>\n",
-       "      <td>currently sittin with a face mask on lookin li...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>2020-01-02 18:57:59</td>\n",
-       "      <td>iamdncollins</td>\n",
-       "      <td>Mom demands recall after Yes To unicorn face m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>2020-01-02 18:57:58</td>\n",
-       "      <td>alexhammerstone</td>\n",
-       "      <td>Bunch of guys wearing Halloween masks pitching...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>2020-01-02 18:57:51</td>\n",
-       "      <td>BlackMagePY</td>\n",
-       "      <td>Ah yes I remember how terrified they made me i...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>2020-01-02 18:57:41</td>\n",
-       "      <td>CamHarvey2</td>\n",
-       "      <td>Everyone around me is getting ill and I’m scar...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>2020-01-02 18:57:37</td>\n",
-       "      <td>HendrikRochefo1</td>\n",
-       "      <td>I think that is in the category 'better than n...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>2020-01-02 18:57:30</td>\n",
-       "      <td>swaggfacee</td>\n",
-       "      <td>Idk why all da fine girls gotta be on pc lmao ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>2020-01-02 18:57:28</td>\n",
-       "      <td>Cyberneticist</td>\n",
-       "      <td>Very Interesting! Was the second mask a telepo...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>2020-01-02 18:57:23</td>\n",
-       "      <td>juzajelly</td>\n",
-       "      <td>i don't need a doppo face mask to show that i ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>2020-01-02 18:57:22</td>\n",
-       "      <td>LoverBoy_iKon</td>\n",
-       "      <td>I see a Hot toddy, face mask, and warm bath in...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>2020-01-02 18:57:16</td>\n",
-       "      <td>QueenDouble_U</td>\n",
-       "      <td>Putting a face mask while watching Case File n...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>2020-01-02 18:57:01</td>\n",
-       "      <td>zombii_yuurei</td>\n",
-       "      <td>😺✏ — oh LOL WHOOPS but also to answer that, my...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>2020-01-02 18:56:57</td>\n",
-       "      <td>FaerieWhings</td>\n",
-       "      <td>His mask is coming off.</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>2020-01-02 18:56:54</td>\n",
-       "      <td>MikeCappella98</td>\n",
-       "      <td>Hey Masae....is Majorca’s Mask good</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>31</th>\n",
-       "      <td>2020-01-02 18:56:50</td>\n",
-       "      <td>theddo96</td>\n",
-       "      <td>We are maybe half an hour to an hour into Vict...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>12</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>2020-01-02 18:56:50</td>\n",
-       "      <td>kswanti</td>\n",
-       "      <td>thats bc they r DUMB why does he PUFF UP LIKE ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33</th>\n",
-       "      <td>2020-01-02 18:56:39</td>\n",
-       "      <td>zootcar_ebooks</td>\n",
-       "      <td>The recording of Trout Mask Replica  https://t...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>2020-01-02 18:56:24</td>\n",
-       "      <td>hadyoubigtime</td>\n",
-       "      <td>walking out of my local cvs with a bronchitis ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35</th>\n",
-       "      <td>2020-01-02 18:56:11</td>\n",
-       "      <td>JojoEnSurvet</td>\n",
-       "      <td>The Mask reste et restera mon film favoris all...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>2020-01-02 18:56:06</td>\n",
-       "      <td>SamBisePoet</td>\n",
-       "      <td>My resolution is to follow my curiosities wher...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>2020-01-02 18:55:53</td>\n",
-       "      <td>BonnyMsB</td>\n",
-       "      <td>Fire blankets, extinguishers, P2 masks and doo...</td>\n",
-       "      <td>[#canberrasmoke, #nswfires, #australiaburns]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>2020-01-02 18:55:34</td>\n",
-       "      <td>krzhope</td>\n",
-       "      <td>Oh no. Keep safe. Maybe you should wear mask n...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>2020-01-02 18:55:30</td>\n",
-       "      <td>PenceElectric</td>\n",
-       "      <td>Californians tried and failed countless times ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-03 18:59:58</td>\n",
-       "      <td>xoulis2004</td>\n",
-       "      <td>Not even.....for letting you know i have the m...</td>\n",
-       "      <td>[#kukluxklan]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-03 18:59:32</td>\n",
-       "      <td>TheEljayJohnsen</td>\n",
-       "      <td>The current one is very easy to breath in. I c...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-03 18:59:29</td>\n",
-       "      <td>mernino2k2</td>\n",
-       "      <td>It was just a thought. When the aura comes, th...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-03 18:59:19</td>\n",
-       "      <td>Mask_310</td>\n",
-       "      <td>Remember when everyone used  http://ask.fm  ? 😂</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-03 18:59:08</td>\n",
-       "      <td>RepassBrian18</td>\n",
-       "      <td>Loved the maroon, white, orange.  really wish ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2020-01-03 18:59:06</td>\n",
-       "      <td>MammyRaging</td>\n",
-       "      <td>With all due respect, we're a country mirrorin...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2020-01-03 18:58:59</td>\n",
-       "      <td>beracing18</td>\n",
-       "      <td>He needs to ponce around in a Jacinda Ardern m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2020-01-03 18:58:42</td>\n",
-       "      <td>killer_kriss</td>\n",
-       "      <td>Im not mad. It was supposed to be a gas mask b...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2020-01-03 18:58:24</td>\n",
-       "      <td>ILoveEvilEnigma</td>\n",
-       "      <td>Seems to be. And the only one who posted it to...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2020-01-03 18:58:21</td>\n",
-       "      <td>longhair3000</td>\n",
-       "      <td>I really am...seriously....CONSIDERING...payin...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                   date         username  \\\n",
-       "0   2020-01-02 18:59:50         jaeminhd   \n",
-       "1   2020-01-02 18:59:47  MatiasI42363639   \n",
-       "2   2020-01-02 18:59:46    beautyftbless   \n",
-       "3   2020-01-02 18:59:44    DCSportsNexus   \n",
-       "4   2020-01-02 18:59:41  CyclopediaBrain   \n",
-       "5   2020-01-02 18:59:30       JadeFindom   \n",
-       "6   2020-01-02 18:59:17    magical_pride   \n",
-       "7   2020-01-02 18:58:56       fary_sarah   \n",
-       "8   2020-01-02 18:58:54      Cinnamonaes   \n",
-       "9   2020-01-02 18:58:49    amoralorealis   \n",
-       "10  2020-01-02 18:58:45       exaggerism   \n",
-       "11  2020-01-02 18:58:35        liviiraee   \n",
-       "12  2020-01-02 18:58:30   thinkasklisten   \n",
-       "13  2020-01-02 18:58:27   forrestfireart   \n",
-       "14  2020-01-02 18:58:24         falsekod   \n",
-       "15  2020-01-02 18:58:23          _Kuro8_   \n",
-       "16  2020-01-02 18:58:20     ravenfirefox   \n",
-       "17  2020-01-02 18:57:59        orianne_x   \n",
-       "18  2020-01-02 18:57:59     iamdncollins   \n",
-       "19  2020-01-02 18:57:58  alexhammerstone   \n",
-       "20  2020-01-02 18:57:51      BlackMagePY   \n",
-       "21  2020-01-02 18:57:41       CamHarvey2   \n",
-       "22  2020-01-02 18:57:37  HendrikRochefo1   \n",
-       "23  2020-01-02 18:57:30       swaggfacee   \n",
-       "24  2020-01-02 18:57:28    Cyberneticist   \n",
-       "25  2020-01-02 18:57:23        juzajelly   \n",
-       "26  2020-01-02 18:57:22    LoverBoy_iKon   \n",
-       "27  2020-01-02 18:57:16    QueenDouble_U   \n",
-       "28  2020-01-02 18:57:01    zombii_yuurei   \n",
-       "29  2020-01-02 18:56:57     FaerieWhings   \n",
-       "30  2020-01-02 18:56:54   MikeCappella98   \n",
-       "31  2020-01-02 18:56:50         theddo96   \n",
-       "32  2020-01-02 18:56:50          kswanti   \n",
-       "33  2020-01-02 18:56:39   zootcar_ebooks   \n",
-       "34  2020-01-02 18:56:24    hadyoubigtime   \n",
-       "35  2020-01-02 18:56:11     JojoEnSurvet   \n",
-       "36  2020-01-02 18:56:06      SamBisePoet   \n",
-       "37  2020-01-02 18:55:53         BonnyMsB   \n",
-       "38  2020-01-02 18:55:34          krzhope   \n",
-       "39  2020-01-02 18:55:30    PenceElectric   \n",
-       "0   2020-01-03 18:59:58       xoulis2004   \n",
-       "1   2020-01-03 18:59:32  TheEljayJohnsen   \n",
-       "2   2020-01-03 18:59:29       mernino2k2   \n",
-       "3   2020-01-03 18:59:19         Mask_310   \n",
-       "4   2020-01-03 18:59:08    RepassBrian18   \n",
-       "5   2020-01-03 18:59:06      MammyRaging   \n",
-       "6   2020-01-03 18:58:59       beracing18   \n",
-       "7   2020-01-03 18:58:42     killer_kriss   \n",
-       "8   2020-01-03 18:58:24  ILoveEvilEnigma   \n",
-       "9   2020-01-03 18:58:21     longhair3000   \n",
-       "\n",
-       "                                                tweet  \\\n",
-       "0   many of the places of my childhood have been b...   \n",
-       "1   It really bothers me that in TLJ Kylo killed S...   \n",
-       "2   For combination skin try: \\n* The pore cleansi...   \n",
-       "3   Who else was shocked when the Mandalorian remo...   \n",
-       "4   What even is the thing in the lower right? A w...   \n",
-       "5   Looking at you makes me feel ill, from now on ...   \n",
-       "6   I am also doing another MASKS thing which I am...   \n",
-       "7   Any visits to Australia again soon? Any mask h...   \n",
-       "8   I’m getting weepy online about Dimitri’s chara...   \n",
-       "9   Yep, I have an African Mask plant that’s super...   \n",
-       "10                mask my toxicity with less toxicity   \n",
-       "11  For me, slowing down when cleansing/removing m...   \n",
-       "12  But it’s misleading. It reads as though there ...   \n",
-       "13                              Where's the mask tho?   \n",
-       "14  i firmly believe that at some point in the wri...   \n",
-       "15                   Where'd you get the Payday mask?   \n",
-       "16  My boss at my daytime job is supplying P2 Mask...   \n",
-       "17  currently sittin with a face mask on lookin li...   \n",
-       "18  Mom demands recall after Yes To unicorn face m...   \n",
-       "19  Bunch of guys wearing Halloween masks pitching...   \n",
-       "20  Ah yes I remember how terrified they made me i...   \n",
-       "21  Everyone around me is getting ill and I’m scar...   \n",
-       "22  I think that is in the category 'better than n...   \n",
-       "23  Idk why all da fine girls gotta be on pc lmao ...   \n",
-       "24  Very Interesting! Was the second mask a telepo...   \n",
-       "25  i don't need a doppo face mask to show that i ...   \n",
-       "26  I see a Hot toddy, face mask, and warm bath in...   \n",
-       "27  Putting a face mask while watching Case File n...   \n",
-       "28  😺✏ — oh LOL WHOOPS but also to answer that, my...   \n",
-       "29                            His mask is coming off.   \n",
-       "30                Hey Masae....is Majorca’s Mask good   \n",
-       "31  We are maybe half an hour to an hour into Vict...   \n",
-       "32  thats bc they r DUMB why does he PUFF UP LIKE ...   \n",
-       "33  The recording of Trout Mask Replica  https://t...   \n",
-       "34  walking out of my local cvs with a bronchitis ...   \n",
-       "35  The Mask reste et restera mon film favoris all...   \n",
-       "36  My resolution is to follow my curiosities wher...   \n",
-       "37  Fire blankets, extinguishers, P2 masks and doo...   \n",
-       "38  Oh no. Keep safe. Maybe you should wear mask n...   \n",
-       "39  Californians tried and failed countless times ...   \n",
-       "0   Not even.....for letting you know i have the m...   \n",
-       "1   The current one is very easy to breath in. I c...   \n",
-       "2   It was just a thought. When the aura comes, th...   \n",
-       "3     Remember when everyone used  http://ask.fm  ? 😂   \n",
-       "4   Loved the maroon, white, orange.  really wish ...   \n",
-       "5   With all due respect, we're a country mirrorin...   \n",
-       "6   He needs to ponce around in a Jacinda Ardern m...   \n",
-       "7   Im not mad. It was supposed to be a gas mask b...   \n",
-       "8   Seems to be. And the only one who posted it to...   \n",
-       "9   I really am...seriously....CONSIDERING...payin...   \n",
-       "\n",
-       "                                        hashtags  nlikes  nreplies  retweet  \\\n",
-       "0                                             []       1         1    False   \n",
-       "1                                             []       0         0    False   \n",
-       "2                                             []       0         0    False   \n",
-       "3                                             []       3         0    False   \n",
-       "4                                             []       9         3    False   \n",
-       "5                                             []       6         0    False   \n",
-       "6                                             []       1         0    False   \n",
-       "7                                             []       0         0    False   \n",
-       "8                                             []       0         0    False   \n",
-       "9                                             []       1         0    False   \n",
-       "10                                            []       0         0    False   \n",
-       "11                                            []       0         0    False   \n",
-       "12                                            []       4         1    False   \n",
-       "13                                            []       0         1    False   \n",
-       "14                                            []       1         1    False   \n",
-       "15                                            []       1         1    False   \n",
-       "16                                            []       0         0    False   \n",
-       "17                                            []       4         0    False   \n",
-       "18                                            []       0         0    False   \n",
-       "19                                            []       5         1    False   \n",
-       "20                                            []       0         0    False   \n",
-       "21                                            []       4         1    False   \n",
-       "22                                            []       1         0    False   \n",
-       "23                                            []       7         0    False   \n",
-       "24                                            []       0         1    False   \n",
-       "25                                            []       1         1    False   \n",
-       "26                                            []       0         1    False   \n",
-       "27                                            []       0         0    False   \n",
-       "28                                            []       0         0    False   \n",
-       "29                                            []       1         0    False   \n",
-       "30                                            []       0         0    False   \n",
-       "31                                            []      12         1    False   \n",
-       "32                                            []       1         1    False   \n",
-       "33                                            []       0         0    False   \n",
-       "34                                            []       7         0    False   \n",
-       "35                                            []       2         0    False   \n",
-       "36                                            []       0         0    False   \n",
-       "37  [#canberrasmoke, #nswfires, #australiaburns]       1         0    False   \n",
-       "38                                            []       1         1    False   \n",
-       "39                                            []       0         0    False   \n",
-       "0                                  [#kukluxklan]       0         0    False   \n",
-       "1                                             []       6         2    False   \n",
-       "2                                             []       0         0    False   \n",
-       "3                                             []       1         0    False   \n",
-       "4                                             []       4         1    False   \n",
-       "5                                             []       5         2    False   \n",
-       "6                                             []       0         0    False   \n",
-       "7                                             []       0         0    False   \n",
-       "8                                             []       2         0    False   \n",
-       "9                                             []       0         0    False   \n",
-       "\n",
-       "    nretweets  \n",
-       "0           0  \n",
-       "1           0  \n",
-       "2           0  \n",
-       "3           0  \n",
-       "4           0  \n",
-       "5           4  \n",
-       "6           0  \n",
-       "7           0  \n",
-       "8           0  \n",
-       "9           0  \n",
-       "10          0  \n",
-       "11          0  \n",
-       "12          3  \n",
-       "13          0  \n",
-       "14          0  \n",
-       "15          0  \n",
-       "16          0  \n",
-       "17          0  \n",
-       "18          0  \n",
-       "19          1  \n",
-       "20          0  \n",
-       "21          0  \n",
-       "22          0  \n",
-       "23          3  \n",
-       "24          0  \n",
-       "25          0  \n",
-       "26          0  \n",
-       "27          0  \n",
-       "28          0  \n",
-       "29          0  \n",
-       "30          0  \n",
-       "31          1  \n",
-       "32          0  \n",
-       "33          0  \n",
-       "34          0  \n",
-       "35          0  \n",
-       "36          0  \n",
-       "37          1  \n",
-       "38          0  \n",
-       "39          0  \n",
-       "0           0  \n",
-       "1           0  \n",
-       "2           0  \n",
-       "3           0  \n",
-       "4           0  \n",
-       "5           2  \n",
-       "6           0  \n",
-       "7           0  \n",
-       "8           0  \n",
-       "9           0  "
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']][40:90]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 8)"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks = masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]\n",
-    "masks.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>35</th>\n",
-       "      <td>2020-01-01 18:56:32</td>\n",
-       "      <td>PaigeHollmeyee</td>\n",
-       "      <td>Okay maybe I spoke too soon because he took ca...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>2020-01-01 18:56:02</td>\n",
-       "      <td>KawainessStore</td>\n",
-       "      <td>Happy New Year!\\n\\nattack masks link below\\n h...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>34</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>2020-01-01 18:55:40</td>\n",
-       "      <td>Founding_stock</td>\n",
-       "      <td>Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>2020-01-01 18:55:40</td>\n",
-       "      <td>ZeRealPlagueDoc</td>\n",
-       "      <td>If any Plague Doctor has this mask on, they ar...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>2020-01-01 18:55:37</td>\n",
-       "      <td>trishtweety</td>\n",
-       "      <td>Awww, GS should have sent them gas masks, the ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-02 18:59:50</td>\n",
-       "      <td>jaeminhd</td>\n",
-       "      <td>many of the places of my childhood have been b...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-02 18:59:47</td>\n",
-       "      <td>MatiasI42363639</td>\n",
-       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-02 18:59:46</td>\n",
-       "      <td>beautyftbless</td>\n",
-       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-02 18:59:44</td>\n",
-       "      <td>DCSportsNexus</td>\n",
-       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-02 18:59:41</td>\n",
-       "      <td>CyclopediaBrain</td>\n",
-       "      <td>What even is the thing in the lower right? A w...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>9</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                   date         username  \\\n",
-       "35  2020-01-01 18:56:32   PaigeHollmeyee   \n",
-       "36  2020-01-01 18:56:02   KawainessStore   \n",
-       "37  2020-01-01 18:55:40   Founding_stock   \n",
-       "38  2020-01-01 18:55:40  ZeRealPlagueDoc   \n",
-       "39  2020-01-01 18:55:37      trishtweety   \n",
-       "0   2020-01-02 18:59:50         jaeminhd   \n",
-       "1   2020-01-02 18:59:47  MatiasI42363639   \n",
-       "2   2020-01-02 18:59:46    beautyftbless   \n",
-       "3   2020-01-02 18:59:44    DCSportsNexus   \n",
-       "4   2020-01-02 18:59:41  CyclopediaBrain   \n",
-       "\n",
-       "                                                tweet hashtags  nlikes  \\\n",
-       "35  Okay maybe I spoke too soon because he took ca...       []       3   \n",
-       "36  Happy New Year!\\n\\nattack masks link below\\n h...       []      34   \n",
-       "37  Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...       []       1   \n",
-       "38  If any Plague Doctor has this mask on, they ar...       []       2   \n",
-       "39  Awww, GS should have sent them gas masks, the ...       []       5   \n",
-       "0   many of the places of my childhood have been b...       []       1   \n",
-       "1   It really bothers me that in TLJ Kylo killed S...       []       0   \n",
-       "2   For combination skin try: \\n* The pore cleansi...       []       0   \n",
-       "3   Who else was shocked when the Mandalorian remo...       []       3   \n",
-       "4   What even is the thing in the lower right? A w...       []       9   \n",
-       "\n",
-       "    nreplies  retweet  nretweets  \n",
-       "35         0    False          0  \n",
-       "36         0    False          3  \n",
-       "37         1    False          0  \n",
-       "38         0    False          0  \n",
-       "39         0    False          0  \n",
-       "0          1    False          0  \n",
-       "1          0    False          0  \n",
-       "2          0    False          0  \n",
-       "3          0    False          0  \n",
-       "4          3    False          0  "
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks[35:45]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>35</th>\n",
-       "      <td>2020-01-01 18:56:32</td>\n",
-       "      <td>PaigeHollmeyee</td>\n",
-       "      <td>Okay maybe I spoke too soon because he took ca...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>2020-01-01 18:56:02</td>\n",
-       "      <td>KawainessStore</td>\n",
-       "      <td>Happy New Year!\\n\\nattack masks link below\\n h...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>34</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>2020-01-01 18:55:40</td>\n",
-       "      <td>Founding_stock</td>\n",
-       "      <td>Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>2020-01-01 18:55:40</td>\n",
-       "      <td>ZeRealPlagueDoc</td>\n",
-       "      <td>If any Plague Doctor has this mask on, they ar...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>2020-01-01 18:55:37</td>\n",
-       "      <td>trishtweety</td>\n",
-       "      <td>Awww, GS should have sent them gas masks, the ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40</th>\n",
-       "      <td>2020-01-02 18:59:50</td>\n",
-       "      <td>jaeminhd</td>\n",
-       "      <td>many of the places of my childhood have been b...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>41</th>\n",
-       "      <td>2020-01-02 18:59:47</td>\n",
-       "      <td>MatiasI42363639</td>\n",
-       "      <td>It really bothers me that in TLJ Kylo killed S...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>42</th>\n",
-       "      <td>2020-01-02 18:59:46</td>\n",
-       "      <td>beautyftbless</td>\n",
-       "      <td>For combination skin try: \\n* The pore cleansi...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>43</th>\n",
-       "      <td>2020-01-02 18:59:44</td>\n",
-       "      <td>DCSportsNexus</td>\n",
-       "      <td>Who else was shocked when the Mandalorian remo...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>44</th>\n",
-       "      <td>2020-01-02 18:59:41</td>\n",
-       "      <td>CyclopediaBrain</td>\n",
-       "      <td>What even is the thing in the lower right? A w...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>9</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                   date         username  \\\n",
-       "35  2020-01-01 18:56:32   PaigeHollmeyee   \n",
-       "36  2020-01-01 18:56:02   KawainessStore   \n",
-       "37  2020-01-01 18:55:40   Founding_stock   \n",
-       "38  2020-01-01 18:55:40  ZeRealPlagueDoc   \n",
-       "39  2020-01-01 18:55:37      trishtweety   \n",
-       "40  2020-01-02 18:59:50         jaeminhd   \n",
-       "41  2020-01-02 18:59:47  MatiasI42363639   \n",
-       "42  2020-01-02 18:59:46    beautyftbless   \n",
-       "43  2020-01-02 18:59:44    DCSportsNexus   \n",
-       "44  2020-01-02 18:59:41  CyclopediaBrain   \n",
-       "\n",
-       "                                                tweet hashtags  nlikes  \\\n",
-       "35  Okay maybe I spoke too soon because he took ca...       []       3   \n",
-       "36  Happy New Year!\\n\\nattack masks link below\\n h...       []      34   \n",
-       "37  Nice.\\n\\nPeak optics. \\n\\nI hope we can strive...       []       1   \n",
-       "38  If any Plague Doctor has this mask on, they ar...       []       2   \n",
-       "39  Awww, GS should have sent them gas masks, the ...       []       5   \n",
-       "40  many of the places of my childhood have been b...       []       1   \n",
-       "41  It really bothers me that in TLJ Kylo killed S...       []       0   \n",
-       "42  For combination skin try: \\n* The pore cleansi...       []       0   \n",
-       "43  Who else was shocked when the Mandalorian remo...       []       3   \n",
-       "44  What even is the thing in the lower right? A w...       []       9   \n",
-       "\n",
-       "    nreplies  retweet  nretweets  \n",
-       "35         0    False          0  \n",
-       "36         0    False          3  \n",
-       "37         1    False          0  \n",
-       "38         0    False          0  \n",
-       "39         0    False          0  \n",
-       "40         1    False          0  \n",
-       "41         0    False          0  \n",
-       "42         0    False          0  \n",
-       "43         0    False          0  \n",
-       "44         3    False          0  "
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.reset_index(drop=True, inplace=True)\n",
-    "masks[35:45]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 99,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [date, username, tweet, hashtags, nlikes, nreplies, retweet, nretweets, polarity, subjectivity]\n",
-       "Index: []"
-      ]
-     },
-     "execution_count": 99,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks[masks.retweet == True]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'SpongeBob: slides down Sand Mountain\\nThe tree in the oxygen mask:  pic.twitter.com/1evndouW3Y'"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_tweet = masks.loc[0, 'tweet']\n",
-    "test_tweet"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import nltk\n",
-    "from textblob import TextBlob"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Sentiment(polarity=-0.15555555555555559, subjectivity=0.2888888888888889)"
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  "
       ]
      },
-     "execution_count": 51,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test = TextBlob(test_tweet)\n",
-    "test.sentiment"
+    "masks_df = search_loop(start_date='2020-01-01',\n",
+    "                       end_date='2020-06-11',\n",
+    "                       search='(mask OR masks) -(ski OR zelda OR majora OR majoras)',\n",
+    "                       username=None,\n",
+    "                       limit=25)\n",
+    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']].head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-0.15555555555555559"
+       "(6480, 8)"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "TextBlob(test_tweet).sentiment.polarity"
+    "masks = masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]\n",
+    "masks.shape"
    ]
   },
   {
@@ -2621,29 +420,9 @@
     }
    ],
    "source": [
-    "import seaborn as sns; sns.set_style('ticks')\n",
+    "sns.set_style('ticks')\n",
     "\n",
-    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dtype('O')"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks_ts['date'].dtypes"
+    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
    ]
   },
   {
@@ -2923,365 +702,386 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Sentiment(polarity=0.0, subjectivity=0.0)"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "test_tweet = masks.loc[2, 'tweet']\n",
-    "test = TextBlob(test_tweet)\n",
-    "test.sentiment"
+    "import datetime\n",
+    "\n",
+    "dates = []\n",
+    "start_date = datetime.date(2020, 1, 1)\n",
+    "end_date = datetime.date(2020, 6, 11)\n",
+    "delta = datetime.timedelta(days=1)\n",
+    "\n",
+    "while start_date <= end_date:\n",
+    "    dates.append(str(start_date))\n",
+    "    start_date += delta"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 102,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n"
-     ]
+     "data": {
+      "text/plain": [
+       "75"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "print(test_tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "testimonial = TextBlob(\"Textblob is amazingly simple to use. What great fun!\")\n",
-    ">>> testimonial.sentiment\n",
-    "Sentiment(polarity=0.39166666666666666, subjectivity=0.4357142857142857)\n",
-    ">>> testimonial.sentiment.polarity"
+    "regex = \"#[mM]ask\"\n",
+    "series = masks[\"tweet\"]\n",
+    "test = series.str.contains(regex)\n",
+    "test.sum()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 103,
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 105,
    "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "scrolled": true
-   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array(['EDT'], dtype=object)"
+       "121     Oh how I would love if a fellow silicone maske...\n",
+       "266     It's happening! Lucy's Noelle sculpt is starti...\n",
+       "374     The mask for my new DnD character came 😍🤙🏻 #ma...\n",
+       "843     Prepping Hair ASMR Chewing Gum | Trying Collag...\n",
+       "976     Top Trumps! #trump #mask #maskedsinger #presid...\n",
+       "                              ...                        \n",
+       "6036    My idiot Governor ( @GovernorVA ) issued an ex...\n",
+       "6101    #Kobe & #GiGi custom #Mask 😷  pic.twitter.com/...\n",
+       "6163    @realDonaldTrump Please hold the Republican co...\n",
+       "6285    Please check out @WHO guidelines on mask weari...\n",
+       "6474    📺Masks on!📺@AZManufacturing's @agilbreath_az a...\n",
+       "Name: tweet, Length: 75, dtype: object"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 105,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "mask_df.drop('id', 'conversation_id', 'created_at', 'timezone', 'place', 'cashtags', 'geo', 'source', 'user_rt_id', 'user_rt', 'retweet_id', 'retweet_date', 'translate', 'trans_src')"
+    "masks[masks['tweet'].str.contains(r'#[mM]ask')]['tweet']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 188,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "unhashable type: 'list'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-17-c50c5a321dd0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmask_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcashtags\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1814\u001b[0m         \u001b[0mCategories\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mb\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1815\u001b[0m         \"\"\"\n\u001b[0;32m-> 1816\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1817\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1818\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/base.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1244\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1245\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1246\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munique1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1247\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1248\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/algorithms.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    380\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    381\u001b[0m     \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhtable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 382\u001b[0;31m     \u001b[0muniques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    383\u001b[0m     \u001b[0muniques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_reconstruct_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muniques\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moriginal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moriginal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    384\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0muniques\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.unique\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable._unique\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
-     ]
-    }
-   ],
-   "source": [
-    "mask_df.cashtags.unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "12992"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "len(mask_df['date'].unique())"
+    "contractions_dict = {\n",
+    "                        \"ain't\": \"is not\",\n",
+    "                        \"aren't\": \"are not\",\n",
+    "                        \"can't\": \"cannot\",\n",
+    "                        \"can't've\": \"cannot have\",\n",
+    "                        \"'cause\": \"because\",\n",
+    "                        \"could've\": \"could have\",\n",
+    "                        \"couldn't\": \"could not\",\n",
+    "                        \"couldn't've\": \"could not have\",\n",
+    "                        \"didn't\": \"did not\",\n",
+    "                        \"doesn't\": \"does not\",\n",
+    "                        \"don't\": \"do not\",\n",
+    "                        \"em\": \"them\",\n",
+    "                        \"hadn't\": \"had not\",\n",
+    "                        \"hadn't've\": \"had not have\",\n",
+    "                        \"hasn't\": \"has not\",\n",
+    "                        \"haven't\": \"have not\",\n",
+    "                        \"he'd\": \"he would\",\n",
+    "                        \"he'd've\": \"he would have\",\n",
+    "                        \"he'll\": \"he will\",\n",
+    "                        \"he'll've\": \"he he will have\",\n",
+    "                        \"he's\": \"he is\",\n",
+    "                        \"how'd\": \"how did\",\n",
+    "                        \"how'd'y\": \"how do you\",\n",
+    "                        \"how'll\": \"how will\",\n",
+    "                        \"how's\": \"how is\",\n",
+    "                        \"I'd\": \"I would\",\n",
+    "                        \"I'd've\": \"I would have\",\n",
+    "                        \"I'll\": \"I will\",\n",
+    "                        \"I'll've\": \"I will have\",\n",
+    "                        \"I'm\": \"I am\",\n",
+    "                        \"I've\": \"I have\",\n",
+    "                        \"i'd\": \"i would\",\n",
+    "                        \"i'd've\": \"i would have\",\n",
+    "                        \"i'll\": \"i will\",\n",
+    "                        \"i'll've\": \"i will have\",\n",
+    "                        \"i'm\": \"i am\",\n",
+    "                        \"i've\": \"i have\",\n",
+    "                        \"isn't\": \"is not\",\n",
+    "                        \"it'd\": \"it would\",\n",
+    "                        \"it'd've\": \"it would have\",\n",
+    "                        \"it'll\": \"it will\",\n",
+    "                        \"it'll've\": \"it will have\",\n",
+    "                        \"it's\": \"it is\",\n",
+    "                        \"let's\": \"let us\",\n",
+    "                        \"ma'am\": \"madam\",\n",
+    "                        \"mayn't\": \"may not\",\n",
+    "                        \"might've\": \"might have\",\n",
+    "                        \"mightn't\": \"might not\",\n",
+    "                        \"mightn't've\": \"might not have\",\n",
+    "                        \"must've\": \"must have\",\n",
+    "                        \"mustn't\": \"must not\",\n",
+    "                        \"mustn't've\": \"must not have\",\n",
+    "                        \"needn't\": \"need not\",\n",
+    "                        \"needn't've\": \"need not have\",\n",
+    "                        \"o'clock\": \"of the clock\",\n",
+    "                        \"oughtn't\": \"ought not\",\n",
+    "                        \"oughtn't've\": \"ought not have\",\n",
+    "                        \"shan't\": \"shall not\",\n",
+    "                        \"sha'n't\": \"shall not\",\n",
+    "                        \"shan't've\": \"shall not have\",\n",
+    "                        \"she'd\": \"she would\",\n",
+    "                        \"she'd've\": \"she would have\",\n",
+    "                        \"she'll\": \"she will\",\n",
+    "                        \"she'll've\": \"she will have\",\n",
+    "                        \"she's\": \"she is\",\n",
+    "                        \"should've\": \"should have\",\n",
+    "                        \"shouldn't\": \"should not\",\n",
+    "                        \"shouldn't've\": \"should not have\",\n",
+    "                        \"so've\": \"so have\",\n",
+    "                        \"so's\": \"so as\",\n",
+    "                        \"that'd\": \"that would\",\n",
+    "                        \"that'd've\": \"that would have\",\n",
+    "                        \"that's\": \"that is\",\n",
+    "                        \"there'd\": \"there would\",\n",
+    "                        \"there'd've\": \"there would have\",\n",
+    "                        \"there's\": \"there is\",\n",
+    "                        \"they'd\": \"they would\",\n",
+    "                        \"they'd've\": \"they would have\",\n",
+    "                        \"they'll\": \"they will\",\n",
+    "                        \"they'll've\": \"they will have\",\n",
+    "                        \"they're\": \"they are\",\n",
+    "                        \"they've\": \"they have\",\n",
+    "                        \"to've\": \"to have\",\n",
+    "                        \"wasn't\": \"was not\",\n",
+    "                        \"we'd\": \"we would\",\n",
+    "                        \"we'd've\": \"we would have\",\n",
+    "                        \"we'll\": \"we will\",\n",
+    "                        \"we'll've\": \"we will have\",\n",
+    "                        \"we're\": \"we are\",\n",
+    "                        \"we've\": \"we have\",\n",
+    "                        \"weren't\": \"were not\",\n",
+    "                        \"what'll\": \"what will\",\n",
+    "                        \"what'll've\": \"what will have\",\n",
+    "                        \"what're\": \"what are\",\n",
+    "                        \"what's\": \"what is\",\n",
+    "                        \"what've\": \"what have\",\n",
+    "                        \"when's\": \"when is\",\n",
+    "                        \"when've\": \"when have\",\n",
+    "                        \"where'd\": \"where did\",\n",
+    "                        \"where's\": \"where is\",\n",
+    "                        \"where've\": \"where have\",\n",
+    "                        \"who'll\": \"who will\",\n",
+    "                        \"who'll've\": \"who will have\",\n",
+    "                        \"who's\": \"who is\",\n",
+    "                        \"who've\": \"who have\",\n",
+    "                        \"why's\": \"why is\",\n",
+    "                        \"why've\": \"why have\",\n",
+    "                        \"will've\": \"will have\",\n",
+    "                        \"won't\": \"will not\",\n",
+    "                        \"won't've\": \"will not have\",\n",
+    "                        \"would've\": \"would have\",\n",
+    "                        \"wouldn't\": \"would not\",\n",
+    "                        \"wouldn't've\": \"would not have\",\n",
+    "                        \"y'all\": \"you all\",\n",
+    "                        \"y'all'd\": \"you all would\",\n",
+    "                        \"y'all'd've\": \"you all would have\",\n",
+    "                        \"y'all're\": \"you all are\",\n",
+    "                        \"y'all've\": \"you all have\",\n",
+    "                        \"you'd\": \"you would\",\n",
+    "                        \"you'd've\": \"you would have\",\n",
+    "                        \"you'll\": \"you will\",\n",
+    "                        \"you'll've\": \"you will have\",\n",
+    "                        \"you're\": \"you are\",\n",
+    "                        \"you've\": \"you have\"\n",
+    "                                                                }"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 219,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'2020-01-01'"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "mask_df['date'][0][0:10]"
+    "stop_words = stopwords.words('english')\n",
+    "stop_words.append(\"i've\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 147,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'18:59:56'"
+       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 147,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "mask_df['date'][0][11:]"
+    "string.punctuation"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import datetime\n",
-    "\n",
-    "dates = []\n",
-    "start_date = datetime.date(2020, 1, 1)\n",
-    "end_date = datetime.date(2020, 6, 11)\n",
-    "delta = datetime.timedelta(days=1)\n",
-    "\n",
-    "while start_date <= end_date:\n",
-    "    dates.append(str(start_date))\n",
-    "    start_date += delta"
+    "tweet = emoji.demojize(tweet)\n",
+    "tweet = tweet.replace(\":\",\" \")\n",
+    "tweet = ' '.join(tweet.split())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 220,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'2020-04-10'"
+       "True"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 220,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "dates[100]"
+    "\"i've\" in stop_words"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 221,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'2020-04-10'"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "str(dates[100])"
+    "# Apply a first round of text cleaning techniques\n",
+    "\n",
+    "def clean_text(text):\n",
+    "    '''Make text lowercase, remove mentions, remove links, convert emojis to words, remove punctuation\n",
+    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
+    "    remove stop words.'''\n",
+    "    text = text.lower()\n",
+    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
+    "    text = re.sub(r'http\\S+', '', text)\n",
+    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
+    "    text = emoji.demojize(text)\n",
+    "    text = text.replace(\":\",\" \")\n",
+    "    text = text.translate(str.maketrans('', '', '!\"#$%&()*+,-./;<=>?@[\\\\]^_`{|}~'))\n",
+    "    tokenizer = RegexpTokenizer(\"([a-zA-Z]+(?:'[a-z]+)?)\")\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "#     for word, i in enumerate(words):\n",
+    "#         if word in contractions_dict.keys():\n",
+    "#             words[i] = contractions_dict[word]\n",
+    "    words = [word for word in words if word not in stop_words]\n",
+    "    text = ' '.join(words)\n",
+    "    return text"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 213,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "i have\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "163"
+       "['know', 'mean', \"i've\", 'depressed']"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 213,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "len(dates)"
+    "words = ['know', 'mean', \"i've\", 'depressed']\n",
+    "for word in words:\n",
+    "    if word in contractions_dict.keys():\n",
+    "        word = contractions_dict[word]\n",
+    "        print(word)\n",
+    "words"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
-   "metadata": {},
+   "execution_count": 223,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "75"
+       "\".My daughter has been sick with a nasty cough for weeks\\nShe ignores my advice about wearing a mask\\nCan any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\""
       ]
      },
-     "execution_count": 102,
+     "execution_count": 223,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "regex = \"#[mM]ask\"\n",
-    "series = masks[\"tweet\"]\n",
-    "test = series.str.contains(regex)\n",
-    "test.sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 103,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import re"
+    "tweets[5]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
-   "metadata": {},
+   "execution_count": 224,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "121     Oh how I would love if a fellow silicone maske...\n",
-       "266     It's happening! Lucy's Noelle sculpt is starti...\n",
-       "374     The mask for my new DnD character came 😍🤙🏻 #ma...\n",
-       "843     Prepping Hair ASMR Chewing Gum | Trying Collag...\n",
-       "976     Top Trumps! #trump #mask #maskedsinger #presid...\n",
-       "                              ...                        \n",
-       "6036    My idiot Governor ( @GovernorVA ) issued an ex...\n",
-       "6101    #Kobe & #GiGi custom #Mask 😷  pic.twitter.com/...\n",
-       "6163    @realDonaldTrump Please hold the Republican co...\n",
-       "6285    Please check out @WHO guidelines on mask weari...\n",
-       "6474    📺Masks on!📺@AZManufacturing's @agilbreath_az a...\n",
-       "Name: tweet, Length: 75, dtype: object"
+       "'daughter sick nasty cough weeks ignores advice wearing mask drs please tweet health impacts breathing toxic air even smelling strongly smoke show full shit'"
       ]
      },
-     "execution_count": 105,
+     "execution_count": 224,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks[masks['tweet'].str.contains(r'#[mM]ask')]['tweet']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Apply a first round of text cleaning techniques\n",
-    "import re\n",
-    "import string\n",
-    "\n",
-    "def clean_text_round1(text):\n",
-    "    '''Make text lowercase, remove text in square brackets, remove punctuation and remove words containing numbers.'''\n",
-    "    text = text.lower()\n",
-    "    text = re.sub('\\[.*?\\]', '', text)\n",
-    "    text = re.sub('[%s]' % re.escape(string.punctuation), '', text)\n",
-    "    text = re.sub('\\w*\\d\\w*', '', text)\n",
-    "    return text\n",
-    "\n",
-    "round1 = lambda x: clean_text_round1(x)"
+    "clean_text(tweets[5])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 193,
    "metadata": {},
    "outputs": [
     {
@@ -3294,7 +1094,7 @@
        " 'The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.']"
       ]
      },
-     "execution_count": 118,
+     "execution_count": 193,
      "metadata": {},
      "output_type": "execute_result"
     }

From d91ba1957679061e0d30745baf6519aee2ecf3d5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Sat, 13 Jun 2020 16:34:59 -0400
Subject: [PATCH 03/14] functions file and beginning lda

---
 functions.py                         |  282 +++++++
 josh-twitter_scraping_notebook.ipynb | 1145 ++++++++++++--------------
 2 files changed, 828 insertions(+), 599 deletions(-)
 create mode 100644 functions.py

diff --git a/functions.py b/functions.py
new file mode 100644
index 0000000..e1190c2
--- /dev/null
+++ b/functions.py
@@ -0,0 +1,282 @@
+# emoticons
+def load_dict_emoticons():
+    
+    return {
+        ":‑)":"smiley",
+        ":-]":"smiley",
+        ":-3":"smiley",
+        ":->":"smiley",
+        "8-)":"smiley",
+        ":-}":"smiley",
+        ":)":"smiley",
+        ":]":"smiley",
+        ":3":"smiley",
+        ":>":"smiley",
+        "8)":"smiley",
+        ":}":"smiley",
+        ":o)":"smiley",
+        ":c)":"smiley",
+        ":^)":"smiley",
+        "=]":"smiley",
+        "=)":"smiley",
+        ":-))":"smiley",
+        ":‑D":"smiley",
+        "8‑D":"smiley",
+        "x‑D":"smiley",
+        "X‑D":"smiley",
+        ":D":"smiley",
+        "8D":"smiley",
+        "xD":"smiley",
+        "XD":"smiley",
+        ":‑(":"sad",
+        ":‑c":"sad",
+        ":‑<":"sad",
+        ":‑[":"sad",
+        ":(":"sad",
+        ":c":"sad",
+        ":<":"sad",
+        ":[":"sad",
+        ":-||":"sad",
+        ">:[":"sad",
+        ":{":"sad",
+        ":@":"sad",
+        ">:(":"sad",
+        ":'‑(":"sad",
+        ":'(":"sad",
+        ":‑P":"playful",
+        "X‑P":"playful",
+        "x‑p":"playful",
+        ":‑p":"playful",
+        ":‑Þ":"playful",
+        ":‑þ":"playful",
+        ":‑b":"playful",
+        ":P":"playful",
+        "XP":"playful",
+        "xp":"playful",
+        ":p":"playful",
+        ":Þ":"playful",
+        ":þ":"playful",
+        ":b":"playful",
+        "<3":"love"
+        }
+
+# self defined contractions
+def load_dict_contractions():
+    
+    return {
+        "ain't": "is not",
+        "amn't": "am not",
+        "aren't": "are not",
+        "can't": "cannot",
+        "can't've": "cannot have",
+        "'cause": "because",
+        "cuz": "because",
+        "couldn't": "could not",
+        "couldn't've": "could not have",
+        "could've": "could have",
+        "daren't": "dare not",
+        "daresn't": "dare not",
+        "dasn't": "dare not",
+        "didn't": "did not",
+        "doesn't": "does not",
+        "don't": "do not",
+        "d'you": "do you",
+        "e'er": "ever",
+        "em": "them",
+        "'em": "them",
+        "everyone's": "everyone is",
+        "finna": "fixing to",
+        "gimme": "give me",
+        "gonna": "going to",
+        "gon't": "go not",
+        "gotta": "got to",
+        "hadn't": "had not",
+        "hadn't've": "had not have",
+        "hasn't": "has not",
+        "haven't": "have not",
+        "he'd": "he would",
+        "he'd've": "he would have",
+        "he'll": "he will",
+        "he'll've": "he he will have",
+        "he's": "he is",
+        "how'd": "how would",
+        "how'll": "how will",
+        "how're": "how are",
+        "how's": "how is",
+        "i'd": "i would",
+        "i'd've": "i would have",
+        "i'll": "i will",
+        "i'll've": "i will have",
+        "i'm": "i am",
+        "i'm'a": "i am about to",
+        "i'm'o": "i am going to",
+        "isn't": "is not",
+        "it'd": "it would",
+        "it'd've": "it would have",
+        "it'll": "it will",
+        "it'll've": "it will have",
+        "it's": "it is",
+        "i've": "i have",        
+        "kinda": "kind of",
+        "let's": "let us",
+        "ma'am": "madam",
+        "mayn't": "may not",
+        "may've": "may have",
+        "mightn't": "might not",
+        "mightn't've": "might not have",
+        "might've": "might have",
+        "mustn't": "must not",
+        "mustn't've": "must not have",
+        "must've": "must have",
+        "needn't": "need not",
+        "needn't've": "need not have",
+        "ne'er": "never",
+        "o'": "of",
+        "o'clock": "of the clock",
+        "o'er": "over",
+        "ol'": "old",
+        "oughtn't": "ought not",
+        "oughtn't've": "ought not have",                
+        "shalln't": "shall not",
+        "shan't": "shall not",
+        "shan't've": "shall not have",
+        "she'd": "she would",
+        "she'd've": "she would have",
+        "she'll": "she will",
+        "she'll've": "she will have",
+        "she's": "she is",
+        "shouldn't": "should not",
+        "shouldn't've": "should not have",
+        "should've": "should have",
+        "so's": "so as",
+        "so've": "so have",
+        "somebody's": "somebody is",
+        "someone's": "someone is",
+        "something's": "something is",
+        "that'd": "that would",
+        "that'd've": "that would have",
+        "that'll": "that will",
+        "that're": "that are",
+        "that's": "that is",
+        "there'd": "there would",
+        "there'd've": "there would have",
+        "there'll": "there will",
+        "there're": "there are",
+        "there's": "there is",
+        "these're": "these are",
+        "they'd": "they would",
+        "they'd've": "they would have",
+        "they'll": "they will",
+        "they'll've": "they will have",
+        "they're": "they are",
+        "they've": "they have",
+        "this's": "this is",
+        "those're": "those are",
+        "to've": "to have",
+        "'tis": "it is",
+        "tis": "it is",
+        "'twas": "it was",
+        "twas": "it was",
+        "wanna": "want to",
+        "wasn't": "was not",
+        "we'd": "we would",
+        "we'd've": "we would have",
+        "we'll": "we will",
+        "we'll've": "we will have",
+        "we're": "we are",
+        "weren't": "were not",
+        "we've": "we have",
+        "what'd": "what did",
+        "what'll": "what will",
+        "what'll've": "what will have",
+        "what're": "what are",
+        "what's": "what is",
+        "what've": "what have",
+        "when's": "when is",
+        "when've": "when have",
+        "where'd": "where did",
+        "where're": "where are",
+        "where's": "where is",
+        "where've": "where have",
+        "which's": "which is",
+        "will've": "will have",
+        "who'd": "who would",
+        "who'd've": "who would have",
+        "who'll": "who will",
+        "who'll've": "who will have",
+        "who're": "who are",
+        "who's": "who is",
+        "who've": "who have",
+        "why'd": "why did",
+        "why're": "why are",
+        "why've": "why have",
+        "why's": "why is",
+        "won't": "will not",
+        "won't've": "will not have",
+        "wouldn't": "would not",
+        "wouldn't've": "would not have",
+        "would've": "would have",
+        "y'all": "you all",
+        "y'all'd": "you all would",
+        "y'all'd've": "you all would have",
+        "y'all're": "you all are",
+        "y'all've": "you all have",
+        "you'd": "you would",
+        "you'd've": "you would have",
+        "you'll": "you will",
+        "you'll've": "you will have",
+        "you're": "you are",
+        "you've": "you have",
+        "Whatcha": "What are you",
+        "luv": "love",
+        "sux": "sucks"
+        }
+
+# Apply text cleaning techniques
+def clean_text(text):
+    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation
+    (except apostrophes), tokenize words (including contractions), convert contractions to full words,
+    remove stop words.'''
+    
+    # make text lowercase
+    text = text.lower() 
+    
+    # remove mentions
+    text = re.sub("(@[A-Za-z0-9]+)", "", text)
+    
+    # remove links
+    text = re.sub(r'http\S+', '', text) 
+    text = re.sub(r'pic\.\S+', '', text)
+    
+    # convert emoticons
+    emoticons = load_dict_emoticons()
+    words = tweet.split()
+    words_edit = [emoticons[word] if word in emoticons else word for word in words]
+    tweet = ' '.join(words_edit)
+    
+#     text = re.sub(r'[:;]{1}-*\(', 'sad face', text) , part 1
+#     text = re.sub(r'[:;]{1}-*\)', 'happy face', text) # convert emoticons, part 2
+
+    # convert emojis
+    text = emoji.demojize(text)
+    text = text.replace(':', ' ') # separate emojis-words with space
+    
+    # remove punctuation
+    text = text.translate(str.maketrans('', '', '!"#$%&*()+,-./;<=>?@[\\]^_`{|}~')) 
+    
+    # tokenize words
+    tokenizer = RegexpTokenizer("([a-zA-Z]+[0-9]*(?:'[a-zx]+)?)")
+    words = tokenizer.tokenize(text)
+    
+    # convert contractions
+    contractions = load_dict_contractions()
+    words = text.split()
+    words_edit = [contractions[word] if word in contractions else word for word in words]
+    text = ' '.join(words_edit)
+
+    # remove stop words
+    words = tokenizer.tokenize(text)
+    words = [word for word in words if word not in stop_words]
+    text = ' '.join(words)
+    
+    return text
\ No newline at end of file
diff --git a/josh-twitter_scraping_notebook.ipynb b/josh-twitter_scraping_notebook.ipynb
index 047fa59..1611c4b 100644
--- a/josh-twitter_scraping_notebook.ipynb
+++ b/josh-twitter_scraping_notebook.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 159,
+   "execution_count": 285,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,7 +25,13 @@
     "from textblob import TextBlob\n",
     "import re\n",
     "import string\n",
-    "import emoji"
+    "import emoji\n",
+    "\n",
+    "%load_ext autoreload\n",
+    "\n",
+    "%autoreload\n",
+    "\n",
+    "from functions import *"
    ]
   },
   {
@@ -781,263 +787,232 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 188,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "contractions_dict = {\n",
-    "                        \"ain't\": \"is not\",\n",
-    "                        \"aren't\": \"are not\",\n",
-    "                        \"can't\": \"cannot\",\n",
-    "                        \"can't've\": \"cannot have\",\n",
-    "                        \"'cause\": \"because\",\n",
-    "                        \"could've\": \"could have\",\n",
-    "                        \"couldn't\": \"could not\",\n",
-    "                        \"couldn't've\": \"could not have\",\n",
-    "                        \"didn't\": \"did not\",\n",
-    "                        \"doesn't\": \"does not\",\n",
-    "                        \"don't\": \"do not\",\n",
-    "                        \"em\": \"them\",\n",
-    "                        \"hadn't\": \"had not\",\n",
-    "                        \"hadn't've\": \"had not have\",\n",
-    "                        \"hasn't\": \"has not\",\n",
-    "                        \"haven't\": \"have not\",\n",
-    "                        \"he'd\": \"he would\",\n",
-    "                        \"he'd've\": \"he would have\",\n",
-    "                        \"he'll\": \"he will\",\n",
-    "                        \"he'll've\": \"he he will have\",\n",
-    "                        \"he's\": \"he is\",\n",
-    "                        \"how'd\": \"how did\",\n",
-    "                        \"how'd'y\": \"how do you\",\n",
-    "                        \"how'll\": \"how will\",\n",
-    "                        \"how's\": \"how is\",\n",
-    "                        \"I'd\": \"I would\",\n",
-    "                        \"I'd've\": \"I would have\",\n",
-    "                        \"I'll\": \"I will\",\n",
-    "                        \"I'll've\": \"I will have\",\n",
-    "                        \"I'm\": \"I am\",\n",
-    "                        \"I've\": \"I have\",\n",
-    "                        \"i'd\": \"i would\",\n",
-    "                        \"i'd've\": \"i would have\",\n",
-    "                        \"i'll\": \"i will\",\n",
-    "                        \"i'll've\": \"i will have\",\n",
-    "                        \"i'm\": \"i am\",\n",
-    "                        \"i've\": \"i have\",\n",
-    "                        \"isn't\": \"is not\",\n",
-    "                        \"it'd\": \"it would\",\n",
-    "                        \"it'd've\": \"it would have\",\n",
-    "                        \"it'll\": \"it will\",\n",
-    "                        \"it'll've\": \"it will have\",\n",
-    "                        \"it's\": \"it is\",\n",
-    "                        \"let's\": \"let us\",\n",
-    "                        \"ma'am\": \"madam\",\n",
-    "                        \"mayn't\": \"may not\",\n",
-    "                        \"might've\": \"might have\",\n",
-    "                        \"mightn't\": \"might not\",\n",
-    "                        \"mightn't've\": \"might not have\",\n",
-    "                        \"must've\": \"must have\",\n",
-    "                        \"mustn't\": \"must not\",\n",
-    "                        \"mustn't've\": \"must not have\",\n",
-    "                        \"needn't\": \"need not\",\n",
-    "                        \"needn't've\": \"need not have\",\n",
-    "                        \"o'clock\": \"of the clock\",\n",
-    "                        \"oughtn't\": \"ought not\",\n",
-    "                        \"oughtn't've\": \"ought not have\",\n",
-    "                        \"shan't\": \"shall not\",\n",
-    "                        \"sha'n't\": \"shall not\",\n",
-    "                        \"shan't've\": \"shall not have\",\n",
-    "                        \"she'd\": \"she would\",\n",
-    "                        \"she'd've\": \"she would have\",\n",
-    "                        \"she'll\": \"she will\",\n",
-    "                        \"she'll've\": \"she will have\",\n",
-    "                        \"she's\": \"she is\",\n",
-    "                        \"should've\": \"should have\",\n",
-    "                        \"shouldn't\": \"should not\",\n",
-    "                        \"shouldn't've\": \"should not have\",\n",
-    "                        \"so've\": \"so have\",\n",
-    "                        \"so's\": \"so as\",\n",
-    "                        \"that'd\": \"that would\",\n",
-    "                        \"that'd've\": \"that would have\",\n",
-    "                        \"that's\": \"that is\",\n",
-    "                        \"there'd\": \"there would\",\n",
-    "                        \"there'd've\": \"there would have\",\n",
-    "                        \"there's\": \"there is\",\n",
-    "                        \"they'd\": \"they would\",\n",
-    "                        \"they'd've\": \"they would have\",\n",
-    "                        \"they'll\": \"they will\",\n",
-    "                        \"they'll've\": \"they will have\",\n",
-    "                        \"they're\": \"they are\",\n",
-    "                        \"they've\": \"they have\",\n",
-    "                        \"to've\": \"to have\",\n",
-    "                        \"wasn't\": \"was not\",\n",
-    "                        \"we'd\": \"we would\",\n",
-    "                        \"we'd've\": \"we would have\",\n",
-    "                        \"we'll\": \"we will\",\n",
-    "                        \"we'll've\": \"we will have\",\n",
-    "                        \"we're\": \"we are\",\n",
-    "                        \"we've\": \"we have\",\n",
-    "                        \"weren't\": \"were not\",\n",
-    "                        \"what'll\": \"what will\",\n",
-    "                        \"what'll've\": \"what will have\",\n",
-    "                        \"what're\": \"what are\",\n",
-    "                        \"what's\": \"what is\",\n",
-    "                        \"what've\": \"what have\",\n",
-    "                        \"when's\": \"when is\",\n",
-    "                        \"when've\": \"when have\",\n",
-    "                        \"where'd\": \"where did\",\n",
-    "                        \"where's\": \"where is\",\n",
-    "                        \"where've\": \"where have\",\n",
-    "                        \"who'll\": \"who will\",\n",
-    "                        \"who'll've\": \"who will have\",\n",
-    "                        \"who's\": \"who is\",\n",
-    "                        \"who've\": \"who have\",\n",
-    "                        \"why's\": \"why is\",\n",
-    "                        \"why've\": \"why have\",\n",
-    "                        \"will've\": \"will have\",\n",
-    "                        \"won't\": \"will not\",\n",
-    "                        \"won't've\": \"will not have\",\n",
-    "                        \"would've\": \"would have\",\n",
-    "                        \"wouldn't\": \"would not\",\n",
-    "                        \"wouldn't've\": \"would not have\",\n",
-    "                        \"y'all\": \"you all\",\n",
-    "                        \"y'all'd\": \"you all would\",\n",
-    "                        \"y'all'd've\": \"you all would have\",\n",
-    "                        \"y'all're\": \"you all are\",\n",
-    "                        \"y'all've\": \"you all have\",\n",
-    "                        \"you'd\": \"you would\",\n",
-    "                        \"you'd've\": \"you would have\",\n",
-    "                        \"you'll\": \"you will\",\n",
-    "                        \"you'll've\": \"you will have\",\n",
-    "                        \"you're\": \"you are\",\n",
-    "                        \"you've\": \"you have\"\n",
-    "                                                                }"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 219,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stop_words = stopwords.words('english')\n",
-    "stop_words.append(\"i've\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 147,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~'"
-      ]
-     },
-     "execution_count": 147,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "string.punctuation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tweet = emoji.demojize(tweet)\n",
-    "tweet = tweet.replace(\":\",\" \")\n",
-    "tweet = ' '.join(tweet.split())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 220,
+   "execution_count": 277,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "True"
+       "['i',\n",
+       " 'me',\n",
+       " 'my',\n",
+       " 'myself',\n",
+       " 'we',\n",
+       " 'our',\n",
+       " 'ours',\n",
+       " 'ourselves',\n",
+       " 'you',\n",
+       " \"you're\",\n",
+       " \"you've\",\n",
+       " \"you'll\",\n",
+       " \"you'd\",\n",
+       " 'your',\n",
+       " 'yours',\n",
+       " 'yourself',\n",
+       " 'yourselves',\n",
+       " 'he',\n",
+       " 'him',\n",
+       " 'his',\n",
+       " 'himself',\n",
+       " 'she',\n",
+       " \"she's\",\n",
+       " 'her',\n",
+       " 'hers',\n",
+       " 'herself',\n",
+       " 'it',\n",
+       " \"it's\",\n",
+       " 'its',\n",
+       " 'itself',\n",
+       " 'they',\n",
+       " 'them',\n",
+       " 'their',\n",
+       " 'theirs',\n",
+       " 'themselves',\n",
+       " 'what',\n",
+       " 'which',\n",
+       " 'who',\n",
+       " 'whom',\n",
+       " 'this',\n",
+       " 'that',\n",
+       " \"that'll\",\n",
+       " 'these',\n",
+       " 'those',\n",
+       " 'am',\n",
+       " 'is',\n",
+       " 'are',\n",
+       " 'was',\n",
+       " 'were',\n",
+       " 'be',\n",
+       " 'been',\n",
+       " 'being',\n",
+       " 'have',\n",
+       " 'has',\n",
+       " 'had',\n",
+       " 'having',\n",
+       " 'do',\n",
+       " 'does',\n",
+       " 'did',\n",
+       " 'doing',\n",
+       " 'a',\n",
+       " 'an',\n",
+       " 'the',\n",
+       " 'and',\n",
+       " 'but',\n",
+       " 'if',\n",
+       " 'or',\n",
+       " 'because',\n",
+       " 'as',\n",
+       " 'until',\n",
+       " 'while',\n",
+       " 'of',\n",
+       " 'at',\n",
+       " 'by',\n",
+       " 'for',\n",
+       " 'with',\n",
+       " 'about',\n",
+       " 'against',\n",
+       " 'between',\n",
+       " 'into',\n",
+       " 'through',\n",
+       " 'during',\n",
+       " 'before',\n",
+       " 'after',\n",
+       " 'above',\n",
+       " 'below',\n",
+       " 'to',\n",
+       " 'from',\n",
+       " 'up',\n",
+       " 'down',\n",
+       " 'in',\n",
+       " 'out',\n",
+       " 'on',\n",
+       " 'off',\n",
+       " 'over',\n",
+       " 'under',\n",
+       " 'again',\n",
+       " 'further',\n",
+       " 'then',\n",
+       " 'once',\n",
+       " 'here',\n",
+       " 'there',\n",
+       " 'when',\n",
+       " 'where',\n",
+       " 'why',\n",
+       " 'how',\n",
+       " 'all',\n",
+       " 'any',\n",
+       " 'both',\n",
+       " 'each',\n",
+       " 'few',\n",
+       " 'more',\n",
+       " 'most',\n",
+       " 'other',\n",
+       " 'some',\n",
+       " 'such',\n",
+       " 'no',\n",
+       " 'nor',\n",
+       " 'not',\n",
+       " 'only',\n",
+       " 'own',\n",
+       " 'same',\n",
+       " 'so',\n",
+       " 'than',\n",
+       " 'too',\n",
+       " 'very',\n",
+       " 's',\n",
+       " 't',\n",
+       " 'can',\n",
+       " 'will',\n",
+       " 'just',\n",
+       " 'don',\n",
+       " \"don't\",\n",
+       " 'should',\n",
+       " \"should've\",\n",
+       " 'now',\n",
+       " 'd',\n",
+       " 'll',\n",
+       " 'm',\n",
+       " 'o',\n",
+       " 're',\n",
+       " 've',\n",
+       " 'y',\n",
+       " 'ain',\n",
+       " 'aren',\n",
+       " \"aren't\",\n",
+       " 'couldn',\n",
+       " \"couldn't\",\n",
+       " 'didn',\n",
+       " \"didn't\",\n",
+       " 'doesn',\n",
+       " \"doesn't\",\n",
+       " 'hadn',\n",
+       " \"hadn't\",\n",
+       " 'hasn',\n",
+       " \"hasn't\",\n",
+       " 'haven',\n",
+       " \"haven't\",\n",
+       " 'isn',\n",
+       " \"isn't\",\n",
+       " 'ma',\n",
+       " 'mightn',\n",
+       " \"mightn't\",\n",
+       " 'mustn',\n",
+       " \"mustn't\",\n",
+       " 'needn',\n",
+       " \"needn't\",\n",
+       " 'shan',\n",
+       " \"shan't\",\n",
+       " 'shouldn',\n",
+       " \"shouldn't\",\n",
+       " 'wasn',\n",
+       " \"wasn't\",\n",
+       " 'weren',\n",
+       " \"weren't\",\n",
+       " 'won',\n",
+       " \"won't\",\n",
+       " 'wouldn',\n",
+       " \"wouldn't\",\n",
+       " \"i've\"]"
       ]
      },
-     "execution_count": 220,
+     "execution_count": 277,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "\"i've\" in stop_words"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 221,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Apply a first round of text cleaning techniques\n",
-    "\n",
-    "def clean_text(text):\n",
-    "    '''Make text lowercase, remove mentions, remove links, convert emojis to words, remove punctuation\n",
-    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
-    "    remove stop words.'''\n",
-    "    text = text.lower()\n",
-    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
-    "    text = re.sub(r'http\\S+', '', text)\n",
-    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
-    "    text = emoji.demojize(text)\n",
-    "    text = text.replace(\":\",\" \")\n",
-    "    text = text.translate(str.maketrans('', '', '!\"#$%&()*+,-./;<=>?@[\\\\]^_`{|}~'))\n",
-    "    tokenizer = RegexpTokenizer(\"([a-zA-Z]+(?:'[a-z]+)?)\")\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "#     for word, i in enumerate(words):\n",
-    "#         if word in contractions_dict.keys():\n",
-    "#             words[i] = contractions_dict[word]\n",
-    "    words = [word for word in words if word not in stop_words]\n",
-    "    text = ' '.join(words)\n",
-    "    return text"
+    "stop_words = stopwords.words('english')\n",
+    "stop_words"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 213,
+   "execution_count": 193,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "i have\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
-       "['know', 'mean', \"i've\", 'depressed']"
+       "[\".My daughter has been sick with a nasty cough for weeks\\nShe ignores my advice about wearing a mask\\nCan any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\",\n",
+       " \"😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159\\xa0…\",\n",
+       " 'y’all: her energy is something ELSE \\ny’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on',\n",
+       " 'We all have some kind of mask. \\nJust how much of one,\\nThat’s different for each of us.  pic.twitter.com/BkoMZ98rlo',\n",
+       " 'The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.']"
       ]
      },
-     "execution_count": 213,
+     "execution_count": 193,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "words = ['know', 'mean', \"i've\", 'depressed']\n",
-    "for word in words:\n",
-    "    if word in contractions_dict.keys():\n",
-    "        word = contractions_dict[word]\n",
-    "        print(word)\n",
-    "words"
+    "tweets = [tweet for tweet in masks['tweet']]\n",
+    "tweets[5:10]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 223,
+   "execution_count": 286,
    "metadata": {
     "scrolled": true
    },
@@ -1045,21 +1020,21 @@
     {
      "data": {
       "text/plain": [
-       "\".My daughter has been sick with a nasty cough for weeks\\nShe ignores my advice about wearing a mask\\nCan any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\""
+       "'wear mask and always wash your hands with soap guys  https://twitter.com/mszikr/status/1220138876108333056\\xa0…'"
       ]
      },
-     "execution_count": 223,
+     "execution_count": 286,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "tweets[5]"
+    "tweets[901]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 224,
+   "execution_count": 287,
    "metadata": {
     "scrolled": true
    },
@@ -1067,41 +1042,16 @@
     {
      "data": {
       "text/plain": [
-       "'daughter sick nasty cough weeks ignores advice wearing mask drs please tweet health impacts breathing toxic air even smelling strongly smoke show full shit'"
-      ]
-     },
-     "execution_count": 224,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "clean_text(tweets[5])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 193,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[\".My daughter has been sick with a nasty cough for weeks\\nShe ignores my advice about wearing a mask\\nCan any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\",\n",
-       " \"😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159\\xa0…\",\n",
-       " 'y’all: her energy is something ELSE \\ny’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on',\n",
-       " 'We all have some kind of mask. \\nJust how much of one,\\nThat’s different for each of us.  pic.twitter.com/BkoMZ98rlo',\n",
-       " 'The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.']"
+       "'wear mask always wash hands soap guys'"
       ]
      },
-     "execution_count": 193,
+     "execution_count": 287,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "tweets = [tweet for tweet in masks['tweet']]\n",
-    "tweets[5:10]"
+    "clean_text(tweets[901])"
    ]
   },
   {
@@ -1130,41 +1080,6 @@
     "    print(f\"{str(vs)}\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 123,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "SpongeBob: slides down Sand Mountain\n",
-      "The tree in the oxygen mask:  pic.twitter.com/1evndouW3Y\n",
-      "Started 2020 with freshly washed bed sheets, a face mask, and beginning to think about getting my shit back together again. Long way to go, and face masks ain’t gonna cut it, but they’re a canny start.\n",
-      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n",
-      "The mask  pic.twitter.com/vHi9pC9S62\n",
-      "I know what you mean, I've been depressed too but I just mask my pain to let others be happy with themselves lol Rough holiday season 4 me, Thanksgiving, Christmas & now New Years Day alone for the majority of em, gotta keep pushin, never give up! \n",
-      "\n",
-      " 🎉🥳🎊*****#hugs*****🎊🥳🎉\n",
-      ".My daughter has been sick with a nasty cough for weeks\n",
-      "She ignores my advice about wearing a mask\n",
-      "Can any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\n",
-      "😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159 …\n",
-      "y’all: her energy is something ELSE \n",
-      "y’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on\n",
-      "We all have some kind of mask. \n",
-      "Just how much of one,\n",
-      "That’s different for each of us.  pic.twitter.com/BkoMZ98rlo\n",
-      "The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in tweets[:10]:\n",
-    "    print(tweet)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 126,
@@ -1247,19 +1162,6 @@
     "masks.shape"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 129,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def mask_noun_finder(text):\n",
-    "    pos = TextBlob(text)\n",
-    "    for tag in pos.tags:\n",
-    "        if 'mask' in tag[0]:\n",
-    "            return tag[1]"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 130,
@@ -1422,7 +1324,7 @@
     }
    ],
    "source": [
-    "masks['pos'] = masks['tweet'].apply(mask_noun_finder)\n",
+    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
     "masks.head()"
    ]
   },
@@ -1464,319 +1366,364 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 231,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1. Get a wrist brace for the carpal tunnel\n",
+      "2. Take a pill for the prostate\n",
+      "3. Get breathe rite strips\n",
+      "4. Get wife apnea mask\n",
+      "5. Take cover until november than vote the orange man out.\n",
+      "Lil bruh said fuck it mask off\n",
+      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "\"fuck it, mask off\"\n",
+      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
+      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
+      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
+      "\n",
+      "Don't spread fake news, thanks. \n",
+      "People is already scared...\n",
+      "Pop smoke dior\n",
+      "Drake war\n",
+      "Futur mask off\n",
+      "fuck it mask off\n",
+      "Fuck it mask off\n",
+      "They really just said \"fuck it mask off\"\n",
+      "Only fck wit rich niggas fck it mask off\n",
+      "Mask on 😷😷\n",
+      "Fuck it mask off 😶😶 type shit\n",
+      "Never gonna stop, give it up, such dirty hands\n",
+      "I always mask it up, for the touch of the dumber kind\n",
+      "My, my, my, aye-aye, whoa!\n",
+      "M-m-m-my carona\n",
+      "fuck it mask off\n",
+      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
+      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 288,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "0.042367"
+       "0      spongebob slides sand mountain tree oxygen mask\n",
+       "1    started freshly washed bed sheets face mask be...\n",
+       "2    using coverage yellow card mask fact team lost...\n",
+       "3                                                 mask\n",
+       "4    know mean depressed mask pain let others happy...\n",
+       "5    daughter sick nasty cough weeks ignores advice...\n",
+       "6    grinningcatface pencil aside butt masks yes ex...\n",
+       "7    energy something else post pics generic lookin...\n",
+       "8                      kind mask much one different us\n",
+       "9    market moved given detox scalp mask since prom...\n",
+       "Name: clean_tweet, dtype: object"
       ]
      },
-     "execution_count": 140,
+     "execution_count": 288,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "0.022642+0.007547+0.004974+0.003602+0.002916+0.000686"
+    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
+    "masks_cleaned = masks['clean_tweet']\n",
+    "masks_cleaned.head(10)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 290,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Any visits to Australia again soon? Any mask hiding we should know about 😱😂😘\n",
-      "Jim Jordan Pulls Off Pelosi's Impeachment Mask - 3 Pieces Of Evidence Show Her Plan Has Fallen Apart  https://gopdailybrief.com/jordan-pelosi-impeachment-mask/ …\n",
-      "I can’t wait until @Pestily ‘s mask gets put in the game. That will stay in my stash forever too 🤣\n",
-      "I thought it was those mask guys from Masters  pic.twitter.com/sePJ8sZtIY\n",
-      "Reading @meet_cleo roast me on my @tjmaxx sheet mask obsession like:  pic.twitter.com/eyvruptkzE\n",
-      "Hair mask time with a glass of wine🥴\n",
-      "ENVIE MILK HAIR MASK AND HAIR SHAMPOO 250ML  https://hairdyecoloruk.wordpress.com/2020/01/13/envie-milk-hair-mask-and-hair-shampoo-250ml-6/ … pic.twitter.com/wTKRktVTgo\n",
-      "ENVIE COLLAGENE AFTER COLOR HAIR MASK 1000ML  https://hairdyecoloruk.wordpress.com/2020/01/13/envie-collagene-after-color-hair-mask-1000ml-4/ … pic.twitter.com/YadAEzYvwQ\n",
-      "Fall In Love With This Miracle Eye Mask  https://www.bloglovin.com/blogs/filling-blanksr-14421519/fall-in-love-with-this-miracle-eye-mask-7282562957 … on @bloglovin\n",
-      "what would you do if, in the final of masked singer, queen bee took her mask off and it was... the honest vocal coach!\n",
-      "Whipped Priming Masks  https://www.trendhunter.com/trends/green-goddess-sleeping-mask … #Fashion pic.twitter.com/H4UTRPL1Fu\n",
-      "Yes To Inc. Issues Voluntary Recall of Product Due to Skin Irritation Complaints ‘Grapefruit Vitamin C Glow Boosting Unicorn Paper Mask’  https://masscentral.com/yes-to-inc-issues-voluntary-recall-of-product-due-to-skin-irritation-complaints-grapefruit-vitamin-c-glow-boosting-unicorn-paper-mask/ … pic.twitter.com/Jd9eOCRcpl\n",
-      "Cardi B's Blinged-Out Mask Took 36 Hours, Cost About $7,000 via @TMZ #I♥️It http://www.tmz.com/2020/01/17/cardi-b-mask-blinged-out-paris-fashion-show-couture …\n",
-      "Blush oils mask\n",
-      "#PUSHAwardsMaharrrrs\n",
-      "#FumiyaSankai\n",
-      "@fumfumfum3\n",
-      "help me out bro, I'm looking through your tweets and don't see a single one where you are concerned about antifa and them violating mask laws.\n",
-      "Someone give me some face mask recommendations\n",
-      "Mask up?\n",
-      " https://www.wweek.com/news/courts/2020/01/22/rioting-protesters-wearing-masks-could-face-up-to-10-years-in-prison-under-new-oregon-senate-bill/?fbclid=IwAR2sfUdgsCNj3qD42jJ2VdpALRe_L3vgNx1MeUQjLb-XfzDzKEiJjBYOtCk …\n",
-      "HKSAR gov’s trying “hard” to fight #WuhanPneumonia:\n",
-      "1. Appeal against court’s decision of unconstitutional anti-mask law;\n",
-      "2. Toll-free access via Hong Kong-Zhuhai-Macau Bridge;\n",
-      "3. To receive #Wuhan trains and flights, train passengers need not to do health declaration.\n",
-      "Speechless https://twitter.com/simonshen_glos/status/1220049638012534787 …\n",
-      "Many in China wear Them, however Do Masks Block Coronavirus?->  https://newsmim.com/many-in-china-wear-them-however-do-masks-block-coronavirus.html …\n",
-      "#News #Breaking_News #Breaking #Latest - pic.twitter.com/gn2HOhC3pX\n",
-      "Jim Carrey Will Do The Mask 2 Only Under One Specific Circumstance  https://movieweb.com/the-mask-2-jim-carrey/ …\n",
-      "Mad we missed out on those scenes only because they made Goten & Trunks support only.\n",
-      "\n",
-      "Goten vs Trunks was a fun fight, coulda had some mighty mask side stuff as well.\n",
-      "\n",
-      "Trunks side mission where you search DBs while Goku is transforming instead of a 5s transforming scene  pic.twitter.com/Q4wPyNzPGT\n",
-      "JIM CARREY Says He Will Do a MASK Sequel Under This Condition\n",
-      " https://comicbook.com/movies/2020/01/24/jim-carrey-says-he-will-do-a-mask-sequel-under-this-condition/ … pic.twitter.com/8ZCyjuqEIV\n",
-      "Tipe : kombi to oily\n",
-      "Face wash : senka perfect white clay\n",
-      "Toner : wardah primary skin hidrating booster\n",
-      "Moisturizer : emina bright stuff\n",
-      "Ss : blm nemu yg cocok (mau coba nivea)\n",
-      "Milk cleanser : viva greentea\n",
-      "Masker : garnier yoghurt sleeping mask\n",
-      "Exfo : -\n",
-      "[Cashel Crusader Standard Fly Mask No Ears or Nose - Size: Horse] has been posted on  https://www.tobem.com/petsazon/cashel-crusader-standard-fly-mask-no-ears-or-nose-size-horse/ … - Buy Cashel Crusader Standard Horse Fly Mask No Ears or Nose: Masks – ✓ FREE DELIVERY possible on eligible purchases  pic.twitter.com/7uhdrv6uJA\n",
-      "hope wear mask become standard - thwart facial recognition\n",
-      "Food, Sanitizers and Mask Supplies Getting WIPED OUT Across America as Fears Rise of Coronavirus Quarantines in the USA  https://www.naturalnews.com/2020-01-27-food-sanitizers-mask-supplies-wiped-out-quarantines-wuhan-coronavirus.html …\n",
-      "There's an anti-mask law??\n",
-      "Can't rule out if that's HK customs problem, Gmarket's problem, or Korean customs/shops problem just based on this message, evidence insufficient.\n",
-      "\n",
-      "But when Taiwan begun to limit mask exports saving them for local demand, expect other countries follow.\n",
-      "Would it be so difficult for you guys to wear mask n glasses at the meeting - since you already know it's asymptomatic for 2 weeks!\n",
-      "Face Masks: What Doctors Say About Their Role In Containing Coronavirus  https://www.npr.org/sections/goatsandsoda/2020/01/29/800531753/face-masks-what-doctors-say-about-their-role-in-containing-coronavirus?utm_campaign=storyshare&utm_source=twitter.com&utm_medium=social …\n",
-      "Coronavirus Explained: Everything You Wanted To Know But Were Afraid To Lift Your Mask To Ask | Zero Hedge  https://www.zerohedge.com/health/coronavirus-explained-everything-you-wanted-know-were-afraid-lift-your-mask-ask …\n",
-      "I can’t either. He was feeling that mask way to much.\n",
-      "So masks clearly help you not spread germs, but do they even do anything to keep you from getting sick? Unless you are worried about people coughing directly in your open mouth, what do they even do?\n",
-      "not even going but i dont think this masks thing is a bad idea at all. id rather be safe than sorry, i know its all for precautions.. but can subk at least provide the masks??\n",
-      "NTs feel threatened by you unmasking and ceasing to hide your autism. They think you’re becoming more autistic when in reality you’re letting it show instead of stifling it. They try to shame and coerce you back into your mask. Keep it off anyway!!!\n",
-      "Coronavirus N95 Face Mask  https://www.modernbeyond.com/products/coronavirus-n95-filter-mask …\n",
-      "20200208. D-331🌠\n",
-      "Have a fun Saturday... Do not forget to wear mask 😷 if you are going out.. Otherwise have fun indoors.. 😉😄\n",
-      "@ZEA_Hyungsik\n",
-      " http://www.hyungsikness.com \n",
-      "#parkhyungsik #박형식 #パクヒョンシク #朴炯植 #hyungsik #hyungsikness…  https://www.instagram.com/p/B8SPLWQpnYR/?igshid=ezn85d4t1o26 …\n",
-      "Chinese Woman Attacked In NYC For Wearing Face Mask – Here’s Why It Wasn’t Racism | Tea Party 247  https://www.teaparty247.org/chinese-woman-attacked-in-nyc-for-wearing-face-mask-heres-why-it-wasnt-racism/ …\n",
-      "Urban Dictionary: Mask hysteria  http://mask-hysteria.urbanup.com/14702760#.XkHuUAMw614.twitter …\n",
-      "L Or al Professionnel S rie Expert Nutrifier Mask 250ml 8.4 Fl Oz.  https://perfumegiftsets.site/l-or-al-professionnel-s-rie-expert-nutrifier-mask-250ml-8-4-fl-oz/ … pic.twitter.com/zPVCjmHYXm\n",
-      "The solution is simple; commission a new, more distinct logo that incorporates something that is hard to steal both in the silhouette and the design itself. For example, add a half-mask guard to the helmet with a little chip or scratch out of it.\n",
-      "Bluetooth Sleeping Eye Mask Headphones,ERNSTING-4.2 Wireless Bluetooth Headset Music Travel Sleep Headset Built-in Microphone is Adjustable and Washable,Perfect for Travel Sleeping Grey  https://onearheadphones.site/bluetooth-sleeping-eye-mask-headphonesernsting-4-2-wireless-bluetooth-headset-music-travel-sleep-headset-built-in-microphone-is-adjustable-and-washableperfect-for-travel-sleeping-grey/ … pic.twitter.com/44QhdY3x7R\n",
-      "Me: *puts on mask*\n",
-      "Student:Why you wearing a mask \n",
-      "(I’ve told this student several times why I wear a face mask during Horticulture) \n",
-      "Me:  Why do I wear a mask during this class ?\n",
-      "Student: because you have earth disease ! \n",
-      "Me:I have ALLERGIES!!!!! \n",
-      "😂😩😂\n",
-      "And of course, their masks—like 99% of the masks we see people wearing in China—are useless. Sad. #covid19 pic.twitter.com/HCptRUfRnK\n",
-      "Mass Media Mask Masonic Control  https://envirowatchrangitikei.wordpress.com/2020/02/20/mass-media-mask-masonic-control/ …\n",
-      "NEW Resmed F30i Mask  https://cpapclinic.ca/cpap-sleep-apnea/2020/02/resmed-f30i-mask/ …\n",
-      "Homemade Wheatgerm Face Mask Recipes For Glowing Skin  https://www.bloglovin.com/blogs/natures-best-home-remedies-14475233/homemade-wheatgerm-face-mask-recipes-for-7339858483 … on @bloglovin\n",
-      "NY Now’s Biggest Accessory Face Mask Protection  https://t2conline.com/ny-nows-biggest-accessory-face-mask-protection/ …\n",
-      "Gyul..... Sampe ada hashtag only for u to wear mask lho.... Hahahah nerbener #한결아_마스크를_끼자 #our_hangyul_please_wear_mask\n",
-      "Ha Ha, it's only an excuse to hide the fact of mask shortage.\n",
-      "The Masked Singer Season 3: Which Celebrities Are Behind the Masks?  https://tvshowsfinder.com/breaking-news/the-masked-singer-season-3-which-celebrities-are-behind-the-masks/ …\n",
-      "Mask Sales Up In Alliston\n",
-      " https://www.southsimcoetoday.ca/2020/02/27/masks-available-at-home-hardware/ …\n",
-      "10 ml Moisturizing Professional Hair Mask  https://bellestuff.com/10-ml-moisturizing-professional-hair-mask/ … pic.twitter.com/4BGByDkSZO\n",
-      "Eh ... I’ll be good y’all keep on wearing those mask tho  https://twitter.com/Pog_llins/status/1234002206485090304 …\n",
-      "New post: Morocco Rhassoul Clay Facial Body Mask Anti-aging Detoxify Pore Cleansing+ Brush  http://bestbodydetoxify.net/articles/morocco-rhassoul-clay-facial-body-mask-anti-aging-detoxify-pore-cleansing-brush.html/ …\n",
-      "1 2 Motherfuckers Beat - Dj Mask par Dj Mask - Beats Music via #soundcloud https://soundcloud.com/dj_mask/1-2-motherfuckers-beat-dj-mask?utm_source=soundcloud&utm_campaign=wtshare&utm_medium=Twitter&utm_content= https%3A//soundcloud.com/dj_mask/1-2-motherfuckers-beat-dj-mask …\n",
-      "The Best Overnight or Sleeping Masks For Every Skin Type  https://nudieglow.com/blogs/nudieblog/the-best-overnight-masks-for-every-skin-type …\n",
-      "Botanical Beauty : ROSEMARY PURIFYING MASK:  http://botanicalbeautystyle.blogspot.com/2019/11/rosemary-purifying-mask.html … pic.twitter.com/UQUxhK5W9e\n",
-      "I brought cleaning groceries last wk & not affected much by panic buying. Lucky I hv face-mask coz I brought some 4 HK family in Jan but they don't need it. We can keep 4 worst case...\n",
-      "\n",
-      "I suggested 4 contingency plan to my employer a wk ago & they can set up remote workstation\n",
-      "Matt Gaetz Wore Gas Mask To Mock Coronavirus Concerns. One Of His Constituents Just Died From It.  https://www.yahoo.com/huffpost/matt-gaetz-gas-mask-mock-coronavirus-concerns-one-of-his-constituents-just-died-from-it-213840665.html …\n",
-      "#MattGaetz Wore Gas Mask To Mock Coronavirus Concerns. One Of His Constituents Just Died From It.\n",
-      " https://www.huffpost.com/entry/matt-gaetz-gas-mask-mock-coronavirus-concerns-one-of-his-constituents-just-died-from-it_n_5e64067cc5b68d61645545d6 …\n",
-      "\n",
-      "Oh that's so #Republican 🇷🇺of you!\n",
-      "\n",
-      "#Florida #toiletpaperpanic #CoronavirusUSA #COVID19 #coronavirus #BlueWave2020\n",
-      "#coronavirus \n",
-      "If #Mask you must:\n",
-      " https://rizziallen.wordpress.com/2020/03/02/corona-virus-mask/ …\n",
-      "Here is why @mattgaetz will always be a jackass!!\n",
-      "\n",
-      "From the article below:\n",
-      "\n",
-      "He also reflected on the gas-mask stunt. \n",
-      "\n",
-      "\"I wasn't making light of the situation,\" Gaetz told the Pensacola News Journal. \"I only wish I had worn the gas mask at CPAC.\"  https://twitter.com/crampell/status/1237488512666132483 …\n",
-      "#coronavirus #virus 50pcs KN95 Mouth Mask 3- Layer Ply Disposable Anti-Dust Surgical Medical Masks Anti-Virus  https://survival.technology/products/50pcs-kn95-meltblown-mouth-mask-3-layer-ply-disposable-anti-dust-surgical-medical-earloop-masks-anti-virus …\n",
-      "Matt Gaetz, Who Mocked Coronavirus by Wearing Gas Mask on House Floor, Is Now in Quarantine  https://www.rollingstone.com/politics/politics-news/matt-gaetz-coronavirus-gas-mask-quarantine-964697/ … via @RollingStoneANOTHER SMART REPUBLICAN\n",
-      "Senate Democrats Obstruct Bipartisan Legislation to Address Shortage of Respirators and Face Masks During Coronavirus Outbreak  https://www.thegatewaypundit.com/2020/03/senate-democrats-obstruct-bipartisan-legislation-to-address-shortage-of-respirators-and-face-masks-during-coronavirus-outbreak/ … via @gatewaypundit\n",
-      "Senate Democrats Obstruct Bipartisan Legislation to Address Shortage of Respirators and Face Masks During Coronavirus Outbreak  https://www.thegatewaypundit.com/2020/03/senate-democrats-obstruct-bipartisan-legislation-to-address-shortage-of-respirators-and-face-masks-during-coronavirus-outbreak/ … via @gatewaypundit\n",
-      "Kn95 Face Mask Anti-Virus Protection n95 pm2.5 (5pcs set)  https://shoppinwithme.com/product/kn95-face-mask-anti-virus-protection-n95-pm2-5-5pcs-set/ …  Ships 3/20\n",
-      "Thanks to all those face mask hoarders, many hospitals are now running very short or completely OUT of N-95 masks, face shields etc. Not where i work (yet) but Full PPE rec by CDC unavailable already in some hospitals to those coming in contact w confirmed COVID-19 patients. 😞\n",
-      "Long as they wasn’t all n your face they usually have face mask anyway tho lol but man sis playin wit fire huh 🤔\n",
-      "If your Star Wars 3D printing doesn't work out, drop by and help with my Lego space station. Bring 2 masks please. ;-)\n",
-      "Calling All People Who Sew And Make: You Can Help Solve 2020 N95-Type Mask Shortage - Forbes  https://www.forbes.com/sites/tjmccue/2020/03/20/calling-all-people-who-sew-and-make-you-can-help-solve-2020-n95-type-mask-shortage/ … via @GoogleNews\n",
-      "White House Won’t Say When More Masks Will Be Available To Health Care Workers  http://eathealthyandlivehealthy.com/healthcare/white-house-wont-say-when-more-masks-will-be-available-to-health-care-workers/ … pic.twitter.com/uxmpEvSo3f\n",
-      "Are you ready for this? 😱 We present you Kawaii Cartoon Style Eye Mask!  https://ikawaiishop.com/kawaii-cartoon-style-eye-mask/ … $13.00\n",
-      "#kawaiicrafts #kawaiipink  https://ikawaiishop.com/kawaii-cartoon-style-eye-mask/ … Kawaii Cartoon Style Eye Mask  pic.twitter.com/jI9XQHM6HR\n",
-      "Clinique City Block Purifying Charcoal Clay Mask + Scrub 100 ml Maske Reinigung  https://www.bestsellerindex.com/2020/03/26/clinique-city-block-purifying-charcoal-clay-mask-scrub-100-ml-maske-reinigung/ … pic.twitter.com/uXtSHzi5Ug\n",
-      "Hmm... SEIU Union in California Suddenly Finds Mysterious Stash of 39 Million Face Masks -- 3 Days After AG Bill Barr Announces They're Going After Hoarders  https://www.thegatewaypundit.com/2020/03/hmm-seiu-union-in-california-suddenly-finds-mysterious-stash-of-39-million-face-masks-3-days-after-ag-bill-barr-announces-theyre-going-after-hoarders/ …\n",
-      "Japan:\n",
-      "strong social norms around civil obedience\n",
-      "and mask-wearing\n",
-      " https://www.ft.com/coronavirus-latest … pic.twitter.com/skupjOwyhN\n",
-      "Leftists are dumping criminals into our streets!\n",
-      "\n",
-      "Inmates Released From Rikers Over Pandemic Get Cell Phones, Cab Fare, Hotel Rooms While Employees Go Without Masks via @dloesch https://danaloesch.com/inmates-released-from-rikers-over-pandemic-get-cell-phones-cab-fare-hotel-rooms-while-employees-go-without-masks/ …\n",
-      "Masks=good   https://medium.com/@thejanellemj/please-join-me-in-wearing-a-mask-71e0e3f4fe4a …\n",
-      "Carmakers To The Rescue — N95 Mask Mass Production  https://cleantechnica.com/2020/03/29/carmakers-to-the-rescue-n95-mask-mass-production/ … pic.twitter.com/vtjiwey3YW\n",
-      "Tucker Carlson to Govt: Stop Lying to Us About Face Masks  https://www.infowars.com/tucker-carlson-to-govt-stop-lying-to-us-about-face-masks/ …\n",
-      "Who Needs to Wear a Mask During the Coronavirus Pandemic?  http://999ktdy.com/who-needs-to-wear-a-mask-during-the-coronavirus-pandemic/?trackback=twitter_mobile … @999ktdy\n",
-      "Praying for a speedy recovery for all physically affected by this pandemic.\n",
-      "\n",
-      "#Coronavirus #epidemic #outbreak #worldwide #virus #health #quarantine #socialdistance #socialdistancing #pandemic #us #mask #masks…  https://www.instagram.com/p/B-ataDxBAH3/?igshid=q3pbcxd83ju0 …\n",
-      "Hawaii Lt. Governor: Everyone Should Wear A Mask When Leaving Home | Zero Hedge  https://www.zerohedge.com/health/hawaii-lt-governor-everyone-should-wear-mask-when-leaving-home …\n",
-      "COVID-19: Premier Doug Ford seen personally picking up mask donation from dental office  https://nationalpost.com/news/canada/covid-19-premier-doug-ford-seen-personally-picking-up-mask-donation-from-dental-office/ …\n",
-      "Many Mask Factories in China Don’t Meet Sanitation, Quality Standards: Chinese Broker  https://www.theepochtimes.com/many-mask-factories-in-china-dont-meet-sanitation-quality-standards-chinese-broker_3302425.html … via @epochtimes\n",
-      "Calif. Sheriff: We’ll Arrest Anyone Not Wearing a Mask  https://www.infowars.com/calif-sheriff-well-arrest-anyone-not-wearing-a-mask/ …\n",
-      "The too much gov comment has merit and would be a whole different interesting convo but the mask thing ur understanding is a bit off.  Masks only really work tho if everyone in a space does it just like social distancing\n",
-      "Doorbell video captures violent Illinois home invasion which left coronavirus mask-wearing suspect dead  https://fxn.ws/34vqGzI  #FoxNews\n",
-      "Eye rolling during mask fit testing.  pic.twitter.com/JrjvQ9SOsl\n",
-      "#hashtag1 Sleeping Travel Mask  https://www.safitravelers.com/product/sleeping-travel-mask/ …  https://www.safitravelers.com  pic.twitter.com/kbI2w3EkEX\n",
-      "China didn't do anything till the doctor exposed it he died\n",
-      "they made a test to see who is positive it works 50%\n",
-      "they had meds to stop it kind of who knows\n",
-      "they started to sell mask gloves machines gowns\n",
-      "they are making billions who would put sanctions on that\n",
-      "You do the math🧐🤪  pic.twitter.com/MQUI1tRHn0\n",
-      "Careful with Masks | Doctor’s Diary with Dr. Gene Dorio  https://scvnews.com/careful-with-masks-doctors-diary-with-dr-gene-dorio/ … pic.twitter.com/qrUNQK9KWI\n",
-      "Dig around a little. You probably already have something mask-worthy at home.  https://hubs.ly/H0ptYFx0 \n",
-      "When you want to enjoy some fresh air....#mask #coveredbytheblood pic.twitter.com/JT02XoRP0w\n",
-      "Masks will be mandatory on all MTA transit starting Friday!  https://nypost.com/2020/04/15/masks-will-be-mandatory-on-all-mta-transit-starting-friday/ …\n",
-      "McBride High, Ninth Grader Earn $1,000 For 3D Mask Project  https://www.gazettes.com/news/coronavirus/mcbride-high-ninth-grader-earn-1-000-for-3d-mask-project/article_d62b390c-7f7a-11ea-a660-b3086cf824fe.html?utm_medium=social&utm_source=twitter&utm_campaign=user-share … via @gruniongazette\n",
-      "Niggas don’t believe in drunk elephant...still fuccn with them face mask tho\n",
-      "Accessory | Purassic Park | Mask Cover – Arm The Animals Clothing Co. ⁦@StevenRayMorris⁩ ⁦@ThePurrrcast⁩ https://www.armtheanimals.com/products/accessory-purassic-park-mask …\n",
-      "I'm tired of people who think that I only need to west a mask indoors.  \n",
-      "No.  From the car until I get home and can detox.  🙄\n",
-      "New curfew hours islandwide, mask wearing now mandatory\n",
-      " http://ow.ly/H3bH30qzoUl \n",
-      "Bentonite (Indian Healing), Moroccan (Red), French (Green), Kaolin (White), Activated Charcoal/Bentonite Clay Powders – 5 Multi Pak Set for Making Mud Masks for Skin, Hair, Face/Facial and Body  http://foreverbusinessowner.net/bentonite-indian-healing-moroccan-red-french-green-kaolin-white-activated-charcoal-bentonite-clay-powders-5-multi-pak-set-for-making-mud-masks-for-skin-hair-face-facial-and-body/ … pic.twitter.com/lPKcmpvivY\n",
-      "✔ Don't drink fish tank cleaner\n",
-      "✔ No ingesting disinfectant\n",
-      "✔ Shooting up with bleach is bad\n",
-      "✔  Non-MD Hannity's medical advice kills people\n",
-      "✔ Don't elect dimwitted, reality TV show hosting,  sociopathic sexual assailants president\n",
-      "✔ Wash hands, wear mask\n",
-      "\n",
-      "Anything else?  https://twitter.com/MollyJongFast/status/1253465460005392384 …\n",
-      "THE AGE OF OCEAN LINERS Washable Face Mask\n",
-      "Trans-Atlantic Travel Art Deco Art - New York City Harbor\n",
-      "Original Fine Art by Dana Vacca\n",
-      "@ Fine Art America\n",
-      "\n",
-      " https://fineartamerica.com/featured/retro-art-deco-ocean-liner-travel-dana-vacca.html?product=face-mask … pic.twitter.com/a5BLKGi13Q\n",
-      "I‘m an essential employee in the medical field. The governor’s mask wasn’t put on sideways. He is wearing a N95 mask that has two straps that wrap around your head above and below the ear, not each ear. But, he did put it on upside down. The metal nose strip was at his chin.🤦‍♀️\n",
-      "3-no. Maybe mildly, irritated by your “masks-unrelated” answer, because I thought you were upset that I agree in wearing a mask (obeying the rule), and to me it looked like you were not willing to do the same (the “can you say the same” was related to obeying the rule).\n",
-      "#ZAZZLE Pretty Face Mask  https://www.zazzle.com/sage_green_leaves_purple_blush_pink_flowers_cloth_face_mask-256427947980597072?rf=238246640349475913 …\n",
-      "WH Adviser: China Knew What Was Coming, Stockpiled Masks Before World Learned COVID Dangers  https://www.westernjournal.com/wh-adviser-china-knew-coming-stockpiled-masks-world-learned-covid-dangers/?utm_source=Twitter&utm_medium=PostTopSharingButtons&utm_campaign=websitesharingbuttons …\n",
-      "Finally able to get masks - $26 for a pkg of 20, 3 ply - first time I put one on the elastic broke - Yup Made in China  https://twitter.com/theWPMyth/status/1254992659170709512 …\n",
-      "\"Wellesley Man Using 23 Printers To Churn Out Face Masks | Wellesley, MA Patch\"  https://patch.com/massachusetts/wellesley/wellesley-man-using-23-printers-churn-out-face-masks?utm_source=amp&utm_campaign=amp&utm_medium=mobile …\n",
-      "Get my art printed on awesome products. Support me at Redbubble #RBandME:   https://www.redbubble.com/i/mask/Hanibal-by-Llewynn1225/47431094.9G0D8?asc=u … #findyourthing #redbubble #Masks #COVID__19\n",
-      "NO JOKE: CA Governor Newsom Orders $1 Billion Worth Of Masks From Chinese Car Company  https://trendingpolitics.com/no-joke-ca-governor-newsom-orders-1-billion-worth-of-masks-from-chinese-car-company/ …\n",
-      "Todrick Hall releases star-studded video for ‘Mask, Gloves, Soap, Scrubs’  https://www.queerty.com/todrick-hall-releases-star-studded-video-masks-gloves-soaps-scrubs-20200430#.XqtmaMOy5Tc.twitter …\n",
-      "Get my art printed on awesome products. Support me at Redbubble #RBandME:   https://www.redbubble.com/i/mask/Field-at-sunrise-by-NicoleK-design/30316300.9G0D8?asc=u … #findyourthing #redbubble #field #sunset #mask\n",
-      "Hey Mask Squad Fans! Please support our Mission by purchasing Mask Squad gear! Adults and Kids sizes available NOW! T-Shirt sale proceeds benefit our Mission and efforts.  https://themasksquad.spiritsale.com  #masks4all #masksquad #PPE #somersetnjmasksquad\n",
-      "N95 Masks are Disposable. Doctors are Not. \n",
-      " https://midcenturymodernmag.com/n95-masks-are-disposable-not-doctors-efcb4d69d89?gi=d69347512f2 …\n",
-      "Most of the ppl I’ve seen with mask aren’t doing anything to really stop the spread or protect themselves. Seems pointless at this point tbh\n",
-      "Rajasthan To Impose Fines For Not Wearing Masks In Public Amid Pandemic  https://pakkikhabar.in/rajasthan-to-impose-fines-for-not-wearing-masks-in-public-amid-pandemic/ … pic.twitter.com/AfVZU52s5t\n",
-      "I don't care. Here is a mask full of COVID-19. This is the Native Americans' revenge on the white man,\n",
-      "So, this guy, with ungloved hands & unmasked face handles a mask then puts it back in the lot possibly contaminating all the others. Way to go! 🤦‍♀️😷 Meanwhile, #45 & others are unmasked & not practicing physical distancing. The music just puts it over the top. Geesh.  https://twitter.com/atrupar/status/1257814281330069504 …\n",
-      "Jaime King in a Face Mask Leaves a Liquor Store in Hollywood 04/27/2020  http://onceleb.wiki/jaime-king-in-a-face-mask-leaves-a-liquor-store-in-hollywood-04-27-2020/ …\n",
-      "Victoria's Secret Introduces Line Of More Revealing Masks  https://babylonbee.com/news/victorias-secret-introduces-new-more-revealing-masks … via @TheBabylonBee\n",
-      "How to Set Up Face ID to Work With a Face Mask.\n",
-      "\n",
-      "#tech #faceID #facemask #howto #tips https://blog.macsales.com/61377-how-to-set-up-face-id-to-work-with-a-face-mask/ …\n",
-      "A lot of us don't want to get sick when an unmasked libertarian spews out his viral load on us while we're in line at the Costco or wherever.  WEAR. A. MASK.\n",
-      "4) embarrassing her daughter for wanting to buy something and it was awks af and tHEN\n",
-      "5) she was yelling at the cashier about gloves even tho the most important thing to wear is a mask/yelled about the long line \n",
-      "6) my cashier didnt have his mask covering his nose so now...RIP ME\n",
-      "But, when I wear it, I do it by my own choice, not because the government told me to. As should everybody. That is just common sense.\n",
-      "\n",
-      "If there is a contingent of people who are anti-mask, well, they are just a bunch of redneck dweebs\n",
-      "Yes, Hanging Your Mask From Your Mirror is Illegal in #NewJersey  http://literock969.com/yes-hanging-your-mask-from-your-mirror-is-illegal-in-new-jersey/?trackback=twitter_mobile … @literock969\n",
-      "Fox News journalist fires back at ABC News' Jon Karl for mask-shaming him at the White House  https://www.theblaze.com/news/john-roberts-vs-jon-karl-mask-shaming …\n",
-      "Agree people should obey the policies (whether imposed by individual store owners or mayors). But ok also to object to those policies. (Most doctors I know think mask wearing is silly and that it should be a choice outside of very limited circumstances.)\n",
-      "So Caesars palce is opening.and the staff has a mask requirment but the customers won't.\n",
-      "\n",
-      "How does rhat make any sense at all because it's she same highly contagious fucking disease. \n",
-      "\n",
-      "Workers don't MATTER  is what I heard.\n",
-      "\"Who’s Enforcing Mask Rules? Often Retail Workers, and They’re Getting Hurt\"  https://www.nytimes.com/2020/05/15/us/coronavirus-masks-violence.html?smid=tw-share …\n",
-      "You should take some lessons on how to wear a mask- look simple when you don’t get it\n",
-      "Kim Kardashian West Debuts New Face Masks From Her SKIMS Shapewear Line – The Shade Room  https://techinfinitylife.info/kim-kardashian-west-debuts-new-face-masks-from-her-skims-shapewear-line-the-shade-room/ …\n",
-      "Mask-Police CNN Reporter Kaitlan Collins Caught Removing Her Mask at Presser as Soon as She Thought Cameras Were Off (VIDEO) \n",
-      "- https://fullmagazine.us/mask-police-cnn-reporter-kaitlan-collins-caught-removing-her-mask-at-presser-as-soon-as-she-thought-cameras-were-off-video/ …\n",
-      "- The Gateway Pundit\n",
-      "\n",
-      "Mask-police CNN reporter Kaitlan Collins was caught removing her mask at a White House press briefing...  pic.twitter.com/sx0GMdgY9X\n",
-      ".3 micrometer particles are the hardest to capture that is why HEPA filters are designed to capture .3 @ 99.97 efficiency. Scanned filters are 99.99. Particles smaller than .3 are easily captured as they vibrate. PS cloth mask don’t stop anything.\n",
-      "Mask-Police CNN Reporter Kaitlan Collins Caught Removing Her Mask at Presser as Soon as She Thought Cameras Were Off (VIDEO)  https://www.thegatewaypundit.com/2020/05/mask-police-cnn-reporter-kaitlan-collins-caught-removing-mask-presser-soon-thought-cameras-off-video/?utm_source=Twitter&utm_campaign=websitesharingbuttons … via @gatewaypundit\n",
-      "Lockdown khtam tou krdia but mask compulsory nhi kia Govt ne... iss liye ab patients barh rhay hain #LockdownEnd\n",
-      "Dumber Than Dirt: Dayton, OH To Ban The Wearing Of Masks While Committing A Crime…  http://www.digifection.com/2020/05/17/dumber-than-dirt-dayton-oh-to-ban-the-wearing-of-masks-while-committing-a-crime/ …\n",
-      "Solidarity and Masks  https://mikethemadbiologist.com/2020/05/18/solidarity-and-masks/ … via @mikethemadbiol\n",
-      "Mask-free customer berates Costco employee as he gets kicked out: ‘I woke up in a free country’ -  https://www.rawstory.com/2020/05/mask-free-customer-berates-costco-employee-as-he-gets-kicked-out-i-woke-up-in-a-free-country/ …\n",
-      "New Orleans jeweler designs American flag face-mask charm to raise money for homeless veterans\n",
-      "\n",
-      " https://www.foxnews.com/us/new-orleans-jeweler-american-flag-face-mask-charm-homeless-veterans …\n",
-      "GOP lawmaker kicked out of Illinois legislative session over refusal to wear mask  https://www.washingtonpost.com/nation/2020/05/21/illinois-gop-lawmaker-removed-mask/ …\n",
-      "Pretty sure Trump doesn't  understand  how masks work. His fear is that it makes his face disappear.\n",
-      "Donald Trump Wears Mask at Ford Plant  https://www.tmz.com/2020/05/21/donald-trump-wears-presidential-mask-ford-plant-covid-19-coronavirus/ … via @TMZ\n",
-      "Why are Walmart's and Home Depot's open and small businesses are not?  What the heck are we doing to this country????? ALSO If masks work, why do businesses need to be closed??????\n",
-      "\n",
-      "If they don’t work, why are we forced to wear them?????? \n",
-      "\n",
-      "PICK ONE Gretchen. #LiberateMichigan\n",
-      "Why are Walmart's and Home Depot's open and small businesses are not?  What the heck are we doing to this country????? ALSO If masks work, why do businesses need to be closed??????\n",
-      "\n",
-      "If they don’t work, why are we forced to wear them?????? \n",
-      "\n",
-      "PICK ONE Gretchen. #LiberateMichigan\n",
-      "Trump Dismisses Face Masks as ‘Politically Correct’  https://politicalwire.com/2020/05/26/trump-dismisses-face-masks-as-politically-correct/ … via @politicalwire\n",
-      "Virginia to Mandate Masks After Northam Caught Taking Selfie w/o Mask  https://www.breitbart.com/politics/2020/05/26/virginia-makes-wearing-masks-mandatory-in-public/ … via @BreitbartNews\n",
-      "JOHN HINDERAKER: Mask Mania  https://www.powerlineblog.com/archives/2020/05/mask-mania.php?utm_source=twitter&utm_medium=sw&utm_campaign=sw … via @powerlineUS\n",
-      "Since this mask thing started, It's been hard to get a good blow job.\n",
-      "we wear masks every fucking day.\n",
-      "people are dying from sickness.\n",
-      "people are dying completely innocent.\n",
-      "people are being murdered.\n",
-      "for nothing.\n",
-      "we are the people. all of us. no matter skin.\n",
-      "we all are here to keep someone going.\n",
-      "but fuck pigs\n",
-      "Minneapolis Mayor Asks Rioters To Wear Face Masks And Practice Social Distancing As City BURNS  https://www.dailywire.com/news/minneapolis-mayor-asks-rioters-to-wear-face-masks-and-practice-social-distancing-as-city-burns/ …\n",
-      "Ottawa to become 1st Canadian city to make masks 'mandatory' on transit  https://ca.news.yahoo.com/ottawa-become-1st-canadian-city-205817981.html?soc_src=hl-viewer&soc_trk=tw … via @YahooCanada\n",
-      "I Cant Breathe Masks, Reusable, Cycling (1PC)  https://hometept.com/products/i-cant-breathe-masks--reusable--cycling--1pc-?variant=29142419?source=twitter …\n",
-      "And wear your damn mask😷  https://twitter.com/UtahCoronavirus/status/1268652252174188550 …\n",
-      "We're going to learn about about outdoor transmission of the virus from these protests. Will we see many new infections (not just in people who were sent to jails)? Who gets infected and what were the mask-wearing percentages in their crowds? We don't know for sure.\n",
-      "Michigan- almost 6K New today?\n",
-      "They had no mask demonstrations at their capital, a little over 14 days ago- this shouldn’t surprise anyone. \n",
-      "\n",
-      "FL- 1,305 new- opened beaches that same weekend.\n",
-      "People just don't understand. COVID19 doesn't care if you're protesting for social justice or a haircut.\n",
-      "\n",
-      "If we're going to allow masked protests then let people wear masks to hair salons, churches, sporting events. Be logical, people, because right now we're not.\n",
-      "So mask mandate or not? @BORUSG said no specifically on that and yet this release says all will be “expected” to wear masks? Can I enforce an “expectation” in class? Is a classroom with 10 students in need of masks? Will we be having 1/3 of class per day in person?\n",
-      "Makeup's been holding up to mask-wearing\n",
-      "\n",
-      "Betty Boop x @IPSY Eyeshadow Palette, Lip Gloss\n",
-      "@HipDotCosmetics Legendary Palette\n",
-      "@GerardCosmetics Starlet Palette\n",
-      "@stilacosmetics Stay All Day Liquid Liner, Huge Extreme Lash Mascara\n",
-      "@BenefitBeauty Precisely My Brow, 3D Browtones pic.twitter.com/mj6Zqx5geM\n",
-      "I still remember how strange it seemed, in my first masks-required job, to have conversations with people when I couldn’t see half their faces. But by day 3 it was totally normal.\n"
-     ]
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a1</th>\n",
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+       "      <th>a8</th>\n",
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+       "      <th>aaah</th>\n",
+       "      <th>aama</th>\n",
+       "      <th>aap</th>\n",
+       "      <th>aarons</th>\n",
+       "      <th>...</th>\n",
+       "      <th>zoro</th>\n",
+       "      <th>zorro</th>\n",
+       "      <th>zosakonc</th>\n",
+       "      <th>zpacks</th>\n",
+       "      <th>zsasz</th>\n",
+       "      <th>zthickness</th>\n",
+       "      <th>zuckerberg</th>\n",
+       "      <th>zuko</th>\n",
+       "      <th>zurich</th>\n",
+       "      <th>zvanetsa</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 15034 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
+       "0   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "1   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "2   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "3   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "4   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "\n",
+       "   zorro  zosakonc  zpacks  zsasz  zthickness  zuckerberg  zuko  zurich  \\\n",
+       "0      0         0       0      0           0           0     0       0   \n",
+       "1      0         0       0      0           0           0     0       0   \n",
+       "2      0         0       0      0           0           0     0       0   \n",
+       "3      0         0       0      0           0           0     0       0   \n",
+       "4      0         0       0      0           0           0     0       0   \n",
+       "\n",
+       "   zvanetsa  \n",
+       "0         0  \n",
+       "1         0  \n",
+       "2         0  \n",
+       "3         0  \n",
+       "4         0  \n",
+       "\n",
+       "[5 rows x 15034 columns]"
+      ]
+     },
+     "execution_count": 290,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "for tweet in masks[masks.pos == 'JJ']['tweet']:\n",
-    "    print(tweet)"
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks_cleaned)\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 292,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 294,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
+       " (1,\n",
+       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
+       " (2,\n",
+       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
+       " (3,\n",
+       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
+       " (4,\n",
+       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
+      ]
+     },
+     "execution_count": 294,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
    ]
   },
   {

From ce8caf818d1ccda152c6dfcefcdf3cb6b7d12a78 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Sat, 13 Jun 2020 21:57:55 -0400
Subject: [PATCH 04/14] updates before the big move back

---
 functions.py                         |  8 +++++++-
 josh-twitter_scraping_notebook.ipynb | 11 ++++++++++-
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/functions.py b/functions.py
index e1190c2..26112e3 100644
--- a/functions.py
+++ b/functions.py
@@ -279,4 +279,10 @@ def clean_text(text):
     words = [word for word in words if word not in stop_words]
     text = ' '.join(words)
     
-    return text
\ No newline at end of file
+    return text
+
+def mask_pos_finder(text):
+    pos = TextBlob(text)
+    for tag in pos.tags:
+        if 'mask' in tag[0]:
+            return tag[1]
\ No newline at end of file
diff --git a/josh-twitter_scraping_notebook.ipynb b/josh-twitter_scraping_notebook.ipynb
index 1611c4b..82e36d1 100644
--- a/josh-twitter_scraping_notebook.ipynb
+++ b/josh-twitter_scraping_notebook.ipynb
@@ -1056,17 +1056,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 295,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "SpongeBob: slides down Sand Mountain\n",
+      "The tree in the oxygen mask:  pic.twitter.com/1evndouW3Y\n",
       "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "Started 2020 with freshly washed bed sheets, a face mask, and beginning to think about getting my shit back together again. Long way to go, and face masks ain’t gonna cut it, but they’re a canny start.\n",
       "{'neg': 0.099, 'neu': 0.901, 'pos': 0.0, 'compound': -0.431}\n",
+      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n",
       "{'neg': 0.119, 'neu': 0.881, 'pos': 0.0, 'compound': -0.3182}\n",
+      "The mask  pic.twitter.com/vHi9pC9S62\n",
       "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "I know what you mean, I've been depressed too but I just mask my pain to let others be happy with themselves lol Rough holiday season 4 me, Thanksgiving, Christmas & now New Years Day alone for the majority of em, gotta keep pushin, never give up! \n",
+      "\n",
+      " 🎉🥳🎊*****#hugs*****🎊🥳🎉\n",
       "{'neg': 0.143, 'neu': 0.584, 'pos': 0.273, 'compound': 0.9178}\n"
      ]
     }
@@ -1077,6 +1085,7 @@
     "analyzer = SentimentIntensityAnalyzer()\n",
     "for tweet in tweets[:5]:\n",
     "    vs = analyzer.polarity_scores(tweet)\n",
+    "    print(tweet)\n",
     "    print(f\"{str(vs)}\")"
    ]
   },

From 4fdeb7e2ba3bd94da9c91779bb15115a3f42db3b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Mon, 15 Jun 2020 11:06:00 -0400
Subject: [PATCH 05/14] updates

---
 twitter_scraping_notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/twitter_scraping_notebook.ipynb b/twitter_scraping_notebook.ipynb
index adbbd6d..10c65e1 100644
--- a/twitter_scraping_notebook.ipynb
+++ b/twitter_scraping_notebook.ipynb
@@ -431,7 +431,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

From 1487de7e2c1f87186e2ad196f3e43607e88fc342 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Mon, 15 Jun 2020 15:32:36 -0400
Subject: [PATCH 06/14] update gitignore

---
 .gitignore | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/.gitignore b/.gitignore
index 6b1dcc1..344ca5e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,5 @@
+.DS_Store
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
@@ -134,3 +136,5 @@ dmypy.json
 
 # Datasets
 /Datasets/*
+/5K_Datasets/*
+/10k_Datasets/*
\ No newline at end of file

From a60b8884d5f9f4bc136780cfeb92f12ce6a618f1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Mon, 15 Jun 2020 15:33:27 -0400
Subject: [PATCH 07/14] scraping and cleaning text

---
 .DS_Store                            |  Bin 6148 -> 6148 bytes
 josh-twitter_scraping_notebook.ipynb | 2340 +++++++++++++++++++++++++-
 twitter_scraping_notebook.ipynb      |  343 +++-
 3 files changed, 2641 insertions(+), 42 deletions(-)

diff --git a/.DS_Store b/.DS_Store
index 2407d576472a466aabea7965b65471116f331e23..f58a84aa092ece5a3e9be6410be95c8bd47b1c5e 100644
GIT binary patch
delta 66
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U`9&-_7=VD0fq`jrfXEhR092q5D*ylh

delta 194
zcmZoMXfc=|#>B)qu~2NHo+2aX#DLw4FEBDPa!%%9+)>ZQ;K`87kjRkEkjhY;lWrKC
zoS$33fB-1+x%n<GNjdpRKxvNX83uyiJr6ko*=TA~2&yT_fZ4NoH{%hO&Fmcf96%Rt
aKFIi;c{0C<B?lt|0}wGVYz`3F!VCbrye<d;

diff --git a/josh-twitter_scraping_notebook.ipynb b/josh-twitter_scraping_notebook.ipynb
index 82e36d1..ae758e8 100644
--- a/josh-twitter_scraping_notebook.ipynb
+++ b/josh-twitter_scraping_notebook.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 285,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -987,26 +987,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 193,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[\".My daughter has been sick with a nasty cough for weeks\\nShe ignores my advice about wearing a mask\\nCan any Drs out there please tweet about the health impacts of breathing this toxic air, even when it's not smelling strongly of smoke, so that I can show her I am not full of shit?\",\n",
-       " \"😺✏ — Aside from butt masks (yes, those exist, I found out recently) and lotions and so forth to condition the skin, here's my #1…  https://curiouscat.me/EricaLScott/post/1038934596?t=1577923159\\xa0…\",\n",
-       " 'y’all: her energy is something ELSE \\ny’all: post 4 pics of the most generic lookin ass white skinny girl eating a tomato w a face mask on',\n",
-       " 'We all have some kind of mask. \\nJust how much of one,\\nThat’s different for each of us.  pic.twitter.com/BkoMZ98rlo',\n",
-       " 'The market has moved on. Was given a \"detox scalp mask\". And since it promised deep action, I can only assume that the giver wanted to imply that my brain needs a detox.']"
+       "['My #coronavirus mask matches the menu. That’s the universe talking, saying “eat burnt ends” @BrothersbbqCO pic.twitter.com/ePJOiZLz6O',\n",
+       " 'Mask up and stay safe....#coronavirus #covid19 #graphicdesign #graphicdesigner #lineart #logo #art @skylinegrafx\\n#logodesigners #banners #fliers #animations #businesscard #emadexgraphics #2020 #logodesigners…  https://www.instagram.com/p/B_qh_tqhiuv/?igshid=ai2s53ezjpke\\xa0…',\n",
+       " 'No. Masks are mostly voluntary. They help protect yourself and others. They do not prevent the spread of covid19 but are a super easy way to reduce the chance of spread. It’s what smart, good people do because they care about fellow human beings.',\n",
+       " '@JNJNews : cut covid wear covid killing mask to kill virus @nose prevent spread by patients carriers to healthy. Can you make for USA,?vijayanrd@gmail.com. kill virus end  http://epidemic.Save\\xa0 economy lives, wear to job travel pic.twitter.com/LjPpeskJym',\n",
+       " 'Your right we don’t. \\nYou don’t know my daughter is nurse, has worked on Covid wards for over a month.... first few days.... nothing more than one surgical mask. 12 hours shifts. \\nMy partner is a nurse too. At a care home.  I won’t go into details.']"
       ]
      },
-     "execution_count": 193,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "tweets = [tweet for tweet in masks['tweet']]\n",
+    "tweets = [tweet for tweet in test_5k['tweet']]\n",
     "tweets[5:10]"
    ]
   },
@@ -1056,26 +1056,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 295,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "SpongeBob: slides down Sand Mountain\n",
-      "The tree in the oxygen mask:  pic.twitter.com/1evndouW3Y\n",
+      "Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ \n",
       "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "Started 2020 with freshly washed bed sheets, a face mask, and beginning to think about getting my shit back together again. Long way to go, and face masks ain’t gonna cut it, but they’re a canny start.\n",
-      "{'neg': 0.099, 'neu': 0.901, 'pos': 0.0, 'compound': -0.431}\n",
-      "Using the coverage of his yellow card to mask the fact his team lost to Southampton. #ClassicJose #CoverUp\n",
-      "{'neg': 0.119, 'neu': 0.881, 'pos': 0.0, 'compound': -0.3182}\n",
-      "The mask  pic.twitter.com/vHi9pC9S62\n",
+      "Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask & it stays on until 1 returns home. That provides maximum protection 4 every1. If #COVID__19 is a pandemic it should be addressed with maximum protection 4 all. #Masks\n",
+      "{'neg': 0.0, 'neu': 0.908, 'pos': 0.092, 'compound': 0.6566}\n",
+      "Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-transgenders-sew-and-distribute-masks-in-slum-area-amid-covid-19-spread/videoshow/75494786.cms …\n",
       "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "I know what you mean, I've been depressed too but I just mask my pain to let others be happy with themselves lol Rough holiday season 4 me, Thanksgiving, Christmas & now New Years Day alone for the majority of em, gotta keep pushin, never give up! \n",
-      "\n",
-      " 🎉🥳🎊*****#hugs*****🎊🥳🎉\n",
-      "{'neg': 0.143, 'neu': 0.584, 'pos': 0.273, 'compound': 0.9178}\n"
+      "Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM\n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's getting antsy - but understands that COVID is a death sentence for her.\n",
+      "{'neg': 0.163, 'neu': 0.761, 'pos': 0.076, 'compound': -0.7482}\n"
      ]
     }
    ],
@@ -1083,6 +1080,9 @@
     "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
     "\n",
     "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "# test_5k['sentiment'] = test_5k['tweet'].apply(lambda x: analyzer.polarity_scores(x))\n",
+    "\n",
     "for tweet in tweets[:5]:\n",
     "    vs = analyzer.polarity_scores(tweet)\n",
     "    print(tweet)\n",
@@ -1735,6 +1735,2304 @@
     "lda.print_topics()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(52473, 17)"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
+    "test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date        date      \n",
+       "2020-05-01  2020-05-01    10017\n",
+       "2020-05-02  2020-05-02    12871\n",
+       "2020-05-03  2020-05-03     9557\n",
+       "2020-05-04  2020-05-04    10019\n",
+       "Name: date, dtype: int64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.date.groupby(test.date).value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-05-02'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.date[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dtype('int64')"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.index.dtype"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "Lengths must match to compare",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-9-a72467af13ba>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'2020-05-02'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/common.py\u001b[0m in \u001b[0;36mnew_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m     62\u001b[0m         \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/__init__.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    527\u001b[0m         \u001b[0mrvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    528\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 529\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomparison_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    530\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    531\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_construct_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomparison_op\u001b[0;34m(left, right, op)\u001b[0m\n\u001b[1;32m    232\u001b[0m         \u001b[0;31m#  The ambiguous case is object-dtype.  See GH#27803\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    233\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 234\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Lengths must match to compare\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mshould_extension_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: Lengths must match to compare"
+     ]
+    }
+   ],
+   "source": [
+    "test.drop(columns=test['date'] == ['2020-05-02'], axis=0)\n",
+    "test.date.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'DataFrameGroupBy' object has no attribute 'iloc'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-30-20f88ef36df4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'tweet'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrameGroupBy' object has no attribute 'iloc'"
+     ]
+    }
+   ],
+   "source": [
+    "test[test['tweet'].str.contains(filt)].groupby('date').iloc[:5000,:].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filt = filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'DataFrameGroupBy' object has no attribute 'value_counts'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-13-8a495e175fa0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'covid|corona|covid19|coronavirus'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrameGroupBy' object has no attribute 'value_counts'"
+     ]
+    }
+   ],
+   "source": [
+    "test[test.tweet.str.contains(filt)].groupby('date').value_counts()\n",
+    "                                                                         \n",
+    "                                                                         \n",
+    "                                                                         \n",
+    "                                                                         "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(31546, 17)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k = test[test.tweet.str.contains(filt)].groupby('date').head(6400)\n",
+    "test_5k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01    6118\n",
+       "2020-05-02    6400\n",
+       "2020-05-03    6283\n",
+       "2020-05-04    6366\n",
+       "2020-05-05    6379\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k.groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>263966773</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>839786785</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1210423564052004865</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
+       "      <td>39323281</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2284107283</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50377</th>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1588690216000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
+       "      <td>['#coronavirus']</td>\n",
+       "      <td>43413162</td>\n",
+       "      <td>ThirstiesInc</td>\n",
+       "      <td>Thirsties Inc</td>\n",
+       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50379</th>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1588690206000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>As President Trump attempts to project an imag...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>14915067</td>\n",
+       "      <td>witfnews</td>\n",
+       "      <td>WITF news</td>\n",
+       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50381</th>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1588690203000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
+       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
+       "      <td>218949823</td>\n",
+       "      <td>Hellacort</td>\n",
+       "      <td>David Hilycord</td>\n",
+       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50382</th>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1588690198000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>146037421</td>\n",
+       "      <td>briandordevic</td>\n",
+       "      <td>Brian Dordevic 📲📷📈</td>\n",
+       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50383</th>\n",
+       "      <td>1257683935116627968</td>\n",
+       "      <td>1257619031588319234</td>\n",
+       "      <td>1588690191000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>757353589966827522</td>\n",
+       "      <td>HRH_LUCY_NL</td>\n",
+       "      <td>HRH Princess Lucy</td>\n",
+       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>25000 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id      conversation_id     created_at        date  \\\n",
+       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "...                    ...                  ...            ...         ...   \n",
+       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
+       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
+       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
+       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
+       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
+       "\n",
+       "                                                   tweet  \\\n",
+       "4      Coronavirus-Did the US just supply a million f...   \n",
+       "22     Absolutely. Most successful countries address ...   \n",
+       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26     I only sneak out every 4 days or so for grocer...   \n",
+       "...                                                  ...   \n",
+       "50377  \"Clutches have been awesome during #coronaviru...   \n",
+       "50379  As President Trump attempts to project an imag...   \n",
+       "50381  Coronavirus, face masks and America's new faul...   \n",
+       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
+       "50383  @Koning_NL It appears, still the only people w...   \n",
+       "\n",
+       "                                                hashtags              user_id  \\\n",
+       "4                                                     []            263966773   \n",
+       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
+       "23                                                    []  1210423564052004865   \n",
+       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
+       "26                                                    []           2284107283   \n",
+       "...                                                  ...                  ...   \n",
+       "50377                                   ['#coronavirus']             43413162   \n",
+       "50379                                                 []             14915067   \n",
+       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
+       "50382                                                 []            146037421   \n",
+       "50383                                                 []   757353589966827522   \n",
+       "\n",
+       "              username                name  \\\n",
+       "4       modernactivism     Modern Activism   \n",
+       "22      RealRandyCohen               ARJAY   \n",
+       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24        themamamaven  Nancy Johnson Horn   \n",
+       "26            NolandTt          Tom Noland   \n",
+       "...                ...                 ...   \n",
+       "50377     ThirstiesInc       Thirsties Inc   \n",
+       "50379         witfnews           WITF news   \n",
+       "50381        Hellacort      David Hilycord   \n",
+       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
+       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
+       "\n",
+       "                                                    link  retweet  nlikes  \\\n",
+       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
+       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
+       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
+       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
+       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
+       "...                                                  ...      ...     ...   \n",
+       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
+       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
+       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
+       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
+       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
+       "\n",
+       "       nreplies  nretweets                                          quote_url  \\\n",
+       "4             0          0                                                NaN   \n",
+       "22            0          0                                                NaN   \n",
+       "23            0          0                                                NaN   \n",
+       "24            1          9                                                NaN   \n",
+       "26            0          0                                                NaN   \n",
+       "...         ...        ...                                                ...   \n",
+       "50377         0          0                                                NaN   \n",
+       "50379         0          0                                                NaN   \n",
+       "50381         1          8                                                NaN   \n",
+       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
+       "50383         0          0                                                NaN   \n",
+       "\n",
+       "       retweet_id                                           reply_to  \n",
+       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
+       "...           ...                                                ...  \n",
+       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
+       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
+       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
+       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
+       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
+       "\n",
+       "[25000 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
+     ]
+    }
+   ],
+   "source": [
+    "test.groupby('date').tweet.str.contains('corona').value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
+      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
+      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
+      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
+      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
+      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
+      "Now that there is an ease on Lagos lockdown.\n",
+      "\n",
+      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
+      "\n",
+      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
+      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
+      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
+      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
+      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
+      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
+      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
+      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
+      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
+      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
+      "\n",
+      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
+      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
+      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
+      "\n",
+      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
+      "God the inside of the eye looks like a fuckin rubber mask\n",
+      "mask: on\n",
+      "me: horny \n",
+      "@breanna_gar i’m GEEEEKING rn 😂\n",
+      "Talk about the face mask 😹😹😹\n",
+      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
+      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
+      "\n",
+      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
+      "\n",
+      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
+      "@MayorBowser @GovernorVA\n",
+      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
+      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
+      "oh well lol no mask here either .. ever... \n",
+      "\n",
+      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
+      "Grateful that my neighborhood smells really really good even through a mask\n",
+      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
+      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
+      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
+      "NOW they care? Typical Republican behavior:\n",
+      "Against govnt assistance, until they lose their job.\n",
+      "Against federal aid, until that hurricane hits.\n",
+      "Against womens' right to choose, until someone makes them wear a mask.\n",
+      "#VoteBlueToCleanUpThisCrapAgain\n",
+      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
+      "\n",
+      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
+      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
+      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
+      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
+      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
+      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
+      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
+      "I am just glad the mask covers up her but ugly face.\n",
+      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
+      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
+      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
+      "When will it sink in? This is deadly serious.\n",
+      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
+      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
+      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
+      "Another fake video? Nobody is wearing face mask thou🤔\n",
+      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
+      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
+      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
+      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
+      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in test.tweet[50:100]:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
+       "1  Ready to heard this? Homemade hair treatment a...   \n",
+       "2  We all know what a joke #CCPChina is when it c...   \n",
+       "3        Thought death masks gave you the horn freak   \n",
+       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name                                               link  \\\n",
+       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
+       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
+       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
+       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
+       "\n",
+       "   retweet  nlikes  nreplies  nretweets  \\\n",
+       "0    False     1.0       0.0        1.0   \n",
+       "1    False     0.0       0.0        0.0   \n",
+       "2    False     1.0       1.0        1.0   \n",
+       "3    False     0.0       0.0        0.0   \n",
+       "4    False     1.0       0.0        1.0   \n",
+       "\n",
+       "                                           quote_url  retweet_id  \\\n",
+       "0                                                NaN         NaN   \n",
+       "1                                                NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
+       "3                                                NaN         NaN   \n",
+       "4                                                NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '843195118924546048', 'username':...  \n",
+       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
+       "2  [{'user_id': '963032516759207936', 'username':...  \n",
+       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]['compound']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.000757438644754942"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    masks.sentiment_score > .05,\n",
+    "    masks.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    17100\n",
+       "positive    16882\n",
+       "neutral      7457\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.221553e+09</td>\n",
+       "      <td>chong_wh96</td>\n",
+       "      <td>Chong_wH</td>\n",
+       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.075768e+09</td>\n",
+       "      <td>Yamanik30</td>\n",
+       "      <td>ACAB</td>\n",
+       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.156025e+09</td>\n",
+       "      <td>JaceLucena</td>\n",
+       "      <td>katka</td>\n",
+       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.583843e+07</td>\n",
+       "      <td>nyman11209</td>\n",
+       "      <td>Hobonator</td>\n",
+       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
+       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
+       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
+       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
+       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
+       "\n",
+       "        username       name  \\\n",
+       "0     chong_wh96   Chong_wH   \n",
+       "1      Yamanik30       ACAB   \n",
+       "2  Harry31348302      Harry   \n",
+       "3     JaceLucena      katka   \n",
+       "4     nyman11209  Hobonator   \n",
+       "\n",
+       "                                                link retweet  nlikes  \\\n",
+       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
+       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
+       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
+       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
+       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
+       "\n",
+       "   nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0       0.0        0.0       NaN         NaN   \n",
+       "1       0.0        0.0       NaN         NaN   \n",
+       "2       0.0        0.0       NaN         NaN   \n",
+       "3       0.0        1.0       NaN         NaN   \n",
+       "4       0.0        0.0       NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
+       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
+       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "masks2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks2.sentiment_score > .05,\n",
+    "    masks2.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    38152\n",
+       "positive    31819\n",
+       "neutral     14237\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.03440293915067452"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    }
+   ],
+   "source": [
+    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks3.sentiment_score > .05,\n",
+    "    masks3.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    34682\n",
+       "positive    32128\n",
+       "neutral     13190\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.013039305000000001"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply text cleaning techniques\n",
+    "def clean_text(text, stop_words):\n",
+    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
+    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
+    "    remove stop words.'''\n",
+    "    \n",
+    "    # make text lowercase\n",
+    "    text = text.lower() \n",
+    "    \n",
+    "    # remove mentions\n",
+    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
+    "    \n",
+    "    # remove links\n",
+    "    text = re.sub(r'http\\S+', '', text) \n",
+    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
+    "    \n",
+    "    # convert emoticons\n",
+    "    emoticons = load_dict_emoticons()\n",
+    "    words = text.split()\n",
+    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
+    "    tweet = ' '.join(words_edit)\n",
+    "\n",
+    "    # convert emojis\n",
+    "    text = emoji.demojize(text)\n",
+    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
+    "    \n",
+    "    # remove punctuation\n",
+    "    text = text.translate(str.maketrans('', '', '!\"#$%&*()+,-./;<=>?@[\\\\]^_`{|}~')) \n",
+    "    \n",
+    "    # tokenize words\n",
+    "    tokenizer = RegexpTokenizer(\"([a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    \n",
+    "    # convert contractions\n",
+    "    contractions = load_dict_contractions()\n",
+    "    words = text.split()\n",
+    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
+    "    text = ' '.join(words_edit)\n",
+    "\n",
+    "    # remove stop words\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    words = [word for word in words if word not in stop_words]\n",
+    "    text = ' '.join(words)\n",
+    "    \n",
+    "    return text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words = stopwords.words('english')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words += ['mask', 'masks', 'face', 'facemask', 'facemasks', 'covid', 'covid19', 'corona', 'coronavirus', 'rona',\n",
+    "               'virus', 'viral', 'viruses']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The new police issue masks might not prevent covid19 identifying them as human.\n",
+      "Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
+      "… I guess Nancy can put in masks for everyone in her coronavirus funding\n",
+      "Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
+      "Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
+      "\n",
+      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks3['tweet'].head():\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "new police issue might prevent identifying human\n",
+      "wear need go outside benefit using benefit much basic hygiene manners\n",
+      "guess nancy put everyone funding\n",
+      "washing hands disinfecting electronics save\n",
+      "americans worried need buy us surgeon general says\n",
+      "people worried start wearing guess made china facewithtearsofjoy\n",
+      "get toilet paper sanitizer paper towels tissues vodkawhat next people waiting line hours stores open buy stuff going try luck costco today japan coronavirusupdate\n",
+      "webinar discuss research related longterm respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register emgtwitter\n",
+      "went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
+      "yet wear worried leading charge\n",
+      "backed next gen pollution filtration botanicals\n",
+      "doctors talked apparently help effective hand washing\n",
+      "cara mengingat pencegahan wuhan bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands coronavirusindonesia\n",
+      "also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "since medical running stock try going environmentally friendly getting reusable\n",
+      "seeing glammed love blackpeople going fly regardless periodtttt\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "nyc panic shopping brunch packed\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
+      "crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
+      "trump empathy compassion care people die cares think poe red death maralago hideaway wall country ravaged disease\n",
+      "ny panic shopping brunch packed kimiko de freytastamura via nyt check contact us small business needs\n",
+      "stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy coronavirusupdate\n",
+      "snapchat shoulda made filters irl could keep cute\n",
+      "moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
+      "people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
+      "need might increase infection risk\n",
+      "freaking least got facewithmedicalmask\n",
+      "need go see doctor example wear surgical protect others needed unwell go\n",
+      "okay celeb wearing met gala year saying fit inspired\n",
+      "seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
+      "funniest part basic protect either lol requires n95 respirator\n",
+      "informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
+      "facewithmedicalmask prevent experts say depends\n",
+      "wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
+      "prepare washing hands\n",
+      "current demand items selling stores available amazon water hand sanitizer ad coronavirusus coronavirususa sarscov19 sarscov2 china wuhan flu coronavid19\n",
+      "ironic say saying effective preventing infection\n",
+      "refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipelineall deadline soon possible yea\n",
+      "n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
+      "one doctors tells wear protect totally dysfunctional immune system going wear\n",
+      "babies flight today see one person huge airport media democrats worried\n",
+      "job homedepot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
+      "need might increase infection risk\n",
+      "authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
+      "question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched coronavirusuk\n",
+      "damn surgical block incompetent send flood god\n",
+      "interested raising fears canada suggesting wear speculating financial impact canada housing think slow hot housing markets usher correction markets ldnont\n"
+     ]
+    }
+   ],
+   "source": [
+    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
+    "for tweet in masks3['cleaned_tweet'].head(50):\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The new police issue masks might not prevent covid19 identifying them as human.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "… I guess Nancy can put in masks for everyone in her coronavirus funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
+      "\n",
+      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
+      "\n",
+      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
+      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Cara mengingat pencegahan virus\n",
+      " W-U-H-A-N:\n",
+      "\n",
+      "Bahasa Inggris*\n",
+      "\n",
+      "*W* - wash hands\n",
+      "*U* - use mask properly\n",
+      "*H* - have temperature checked regularly\n",
+      "*A* - avoid large crowds\n",
+      "*N* - never touch your face with unclean hands\n",
+      "\n",
+      "#CoronaVirusIndonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
+      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "#coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
+      "\n",
+      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "\"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
+      "\n",
+      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
+      "\n",
+      "#CoronaVirusUpdate \n",
+      "@TheUnhingedOne_\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
+      "\n",
+      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "The Coronavirus is freaking me out. At least I got some masks. 😷\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Current in demand items selling out in stores but available on Amazon: \n",
+      "Water  https://amzn.to/2vurRCi \n",
+      "Masks  https://amzn.to/2wT7M8X \n",
+      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
+      "ad \n",
+      "#coronavirus #coronavirusus #coronavirususa\n",
+      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
+      "#coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
+      "\n",
+      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
+      "\n",
+      "Don’t give me , washing hands is better malarkey. \n",
+      "\n",
+      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
+      "\n",
+      "#coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks3['tweet'].head(50):\n",
+    "    print(tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "new police issue might prevent identifying human\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "wear need go outside benefit using benefit much basic hygiene manners\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "guess nancy put everyone funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "washing hands disinfecting electronics save\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "americans worried need buy us surgeon general says\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "people worried start wearing guess made china facewithtearsofjoy\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "get toilet paper sanitizer paper towels tissues vodkawhat next people waiting line hours stores open buy stuff going try luck costco today japan coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "webinar discuss research related longterm respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register emgtwitter\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "yet wear worried leading charge\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "backed next gen pollution filtration botanicals\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "doctors talked apparently help effective hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "cara mengingat pencegahan wuhan bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands coronavirusindonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "since medical running stock try going environmentally friendly getting reusable\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "seeing glammed love blackpeople going fly regardless periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "nyc panic shopping brunch packed\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "trump empathy compassion care people die cares think poe red death maralago hideaway wall country ravaged disease\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "ny panic shopping brunch packed kimiko de freytastamura via nyt check contact us small business needs\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "snapchat shoulda made filters irl could keep cute\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "freaking least got facewithmedicalmask\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "need go see doctor example wear surgical protect others needed unwell go\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "okay celeb wearing met gala year saying fit inspired\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "funniest part basic protect either lol requires n95 respirator\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "facewithmedicalmask prevent experts say depends\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "prepare washing hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "current demand items selling stores available amazon water hand sanitizer ad coronavirusus coronavirususa sarscov19 sarscov2 china wuhan flu coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "ironic say saying effective preventing infection\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipelineall deadline soon possible yea\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "one doctors tells wear protect totally dysfunctional immune system going wear\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "babies flight today see one person huge airport media democrats worried\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "job homedepot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "damn surgical block incompetent send flood god\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "interested raising fears canada suggesting wear speculating financial impact canada housing think slow hot housing markets usher correction markets ldnont\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks3['cleaned_tweet'].head(50):\n",
+    "    print(tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
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+       "\n",
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+       "</style>\n",
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+       "      <th>...</th>\n",
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+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 58031 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a0  a1  a10  a2  a3  a4  a5  a9  aa  aa377  ...  zulus  zum  zuma  zumba  \\\n",
+       "0   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
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+       "4   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
+       "\n",
+       "   zurich  zville  zweli  zyad  zyada  zzz  \n",
+       "0       0       0      0     0      0    0  \n",
+       "1       0       0      0     0      0    0  \n",
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+       "3       0       0      0     0      0    0  \n",
+       "4       0       0      0     0      0    0  \n",
+       "\n",
+       "[5 rows x 58031 columns]"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.027*\"hand\" + 0.021*\"hands\" + 0.019*\"sanitizer\" + 0.014*\"facewithtearsofjoy\" + 0.014*\"stay\" + 0.013*\"wash\" + 0.013*\"gloves\" + 0.010*\"paper\" + 0.008*\"sanitizers\" + 0.008*\"people\"'),\n",
+       " (1,\n",
+       "  '0.024*\"jack\" + 0.022*\"us\" + 0.020*\"via\" + 0.014*\"buying\" + 0.013*\"chinese\" + 0.013*\"new\" + 0.012*\"outbreak\" + 0.012*\"billionaire\" + 0.011*\"medical\" + 0.009*\"coronavirusupdates\"'),\n",
+       " (2,\n",
+       "  '0.021*\"kits\" + 0.018*\"test\" + 0.017*\"china\" + 0.015*\"us\" + 0.013*\"million\" + 0.011*\"gas\" + 0.011*\"one\" + 0.010*\"testing\" + 0.009*\"donate\" + 0.009*\"pandemic\"'),\n",
+       " (3,\n",
+       "  '0.026*\"people\" + 0.020*\"wear\" + 0.020*\"wearing\" + 0.012*\"get\" + 0.011*\"like\" + 0.010*\"infected\" + 0.009*\"one\" + 0.008*\"need\" + 0.007*\"even\" + 0.007*\"protect\"'),\n",
+       " (4,\n",
+       "  '0.025*\"doctors\" + 0.025*\"gloves\" + 0.019*\"nurses\" + 0.017*\"n95\" + 0.016*\"without\" + 0.015*\"risk\" + 0.012*\"medical\" + 0.012*\"health\" + 0.010*\"need\" + 0.010*\"patients\"')]"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/twitter_scraping_notebook.ipynb b/twitter_scraping_notebook.ipynb
index 10c65e1..b58fab0 100644
--- a/twitter_scraping_notebook.ipynb
+++ b/twitter_scraping_notebook.ipynb
@@ -92,65 +92,366 @@
     "        del day_df\n",
     "        df.reset_index(drop=True, inplace=True)\n",
     "        df.to_csv(f'Datasets/{filename}.csv')\n",
+    "        print(datetime.now(), f'{since} Saved!')\n",
     "    return df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Search loop params for January tweets\n",
+    "# Search loop params for March tweets\n",
     "\n",
-    "start_date = '2020-01-01'\n",
+    "start_date = '2020-05-01'\n",
     "\n",
-    "end_date = '2020-02-01'\n",
+    "end_date = '2020-05-16'\n",
     "\n",
-    "search = '(mask OR masks OR facemask OR facemasks)'\n",
+    "search = '(mask OR masks) AND (covid OR covid19 OR corona OR coronavirus)'\n",
     "\n",
-    "filename = 'january_tweets'\n",
+    "filename = 'may_first_half_tweets'\n",
     "\n",
     "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
-    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']"
+    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']\n",
+    "\n",
+    "limit = 10000"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 11:49:16.524351 2020-05-01 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 12:09:21.200197 2020-05-02 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 12:42:50.213430 2020-05-03 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 13:03:15.286513 2020-05-04 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 13:23:43.755624 2020-05-05 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 13:57:15.348502 2020-05-06 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 14:17:30.635435 2020-05-07 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 14:51:14.019064 2020-05-08 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 28.5 s, sys: 181 ms, total: 28.7 s\n",
-      "Wall time: 1min 11s\n"
+      "2020-06-15 15:12:15.026523 2020-05-09 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n",
+      "CRITICAL:root:twint.output:checkData:copyrightedTweet\n"
      ]
     }
    ],
    "source": [
-    "%time jan_df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename, drop_cols=drop_cols, limit=50)"
+    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename,\\\n",
+    "                       drop_cols=drop_cols, limit=limit)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "1860"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'df' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-8-9e112543b788>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'df' is not defined"
+     ]
     }
    ],
    "source": [
-    "len(jan_df)"
+    "len(df)"
    ]
   },
   {

From 17da392140c64de6be5afd6750535887b9f90d03 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Tue, 16 Jun 2020 09:35:16 -0400
Subject: [PATCH 08/14] putting together final dataset

---
 .DS_Store                                     |  Bin 6148 -> 8196 bytes
 ...craping_notebook-backup_0615-evening.ipynb | 3974 ++++++++++
 josh-twitter_scraping_notebook.ipynb          | 6697 ++++++++++-------
 twitter_scraping_notebook.ipynb               |  492 +-
 4 files changed, 8099 insertions(+), 3064 deletions(-)
 create mode 100644 josh-twitter_scraping_notebook-backup_0615-evening.ipynb

diff --git a/.DS_Store b/.DS_Store
index f58a84aa092ece5a3e9be6410be95c8bd47b1c5e..2556fcb881468c1ec7e71b65c41cd923775fad43 100644
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diff --git a/josh-twitter_scraping_notebook-backup_0615-evening.ipynb b/josh-twitter_scraping_notebook-backup_0615-evening.ipynb
new file mode 100644
index 0000000..4791ae4
--- /dev/null
+++ b/josh-twitter_scraping_notebook-backup_0615-evening.ipynb
@@ -0,0 +1,3974 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "import nltk\n",
+    "from nltk import RegexpTokenizer\n",
+    "from nltk.corpus import stopwords\n",
+    "from textblob import TextBlob\n",
+    "import re\n",
+    "import string\n",
+    "import emoji\n",
+    "\n",
+    "%load_ext autoreload\n",
+    "\n",
+    "%autoreload\n",
+    "\n",
+    "from functions import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def twint_search(search, username=None, since=None, until=None, limit=None):\n",
+    "    '''\n",
+    "    Function to return a pandas dataframe of tweets in English containing term using twint search method.\n",
+    "    Required parameter: search term.\n",
+    "    Optional parameters: username, beginning (since) and end (until) datetimes to search, maximum number of tweets.\n",
+    "    '''\n",
+    "    c = twint.Config()\n",
+    "    c.Lang = 'en'\n",
+    "    c.Search = search\n",
+    "    c.Username = username\n",
+    "    c.Since = since\n",
+    "    c.Until = until\n",
+    "    c.Limit = limit\n",
+    "    c.Pandas = True\n",
+    "    c.Hide_output = True\n",
+    "    twint.run.Search(c)\n",
+    "    df = twint.storage.panda.Tweets_df\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def search_loop(start_date, end_date, search, username=None, limit=None):\n",
+    "    df = pd.DataFrame()\n",
+    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
+    "    for d in range(len(date_range) - 1):\n",
+    "        since = date_range[d].strftime('%Y-%m-%d')\n",
+    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, limit=limit)\n",
+    "        df = pd.concat([df, day_df])\n",
+    "    df.reset_index(drop=True, inplace=True)\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_df = search_loop(start_date='2020-01-01',\n",
+    "                       end_date='2020-06-11',\n",
+    "                       search='(mask OR masks) -(ski OR zelda OR majora OR majoras)',\n",
+    "                       username=None,\n",
+    "                       limit=25)\n",
+    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 8)"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks = masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]\n",
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity  \n",
+       "0      0.288889  \n",
+       "1      0.425000  \n",
+       "2      0.000000  \n",
+       "3      0.000000  \n",
+       "4      0.648409  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
+    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('ticks')\n",
+    "\n",
+    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 date  polarity  subjectivity\n",
+       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
+       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
+       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
+       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
+       "4 2020-01-01 18:59:24  0.271591      0.648409"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
+    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
+    "masks_ts.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
+       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
+       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
+       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
+       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
+       "               ...\n",
+       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
+       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
+       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
+       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts.set_index('date', inplace=True)\n",
+    "masks_ts.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.004358</td>\n",
+       "      <td>0.369293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>-0.001089</td>\n",
+       "      <td>0.379444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.111727</td>\n",
+       "      <td>0.440448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.040365</td>\n",
+       "      <td>0.383991</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.047351</td>\n",
+       "      <td>0.418947</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            polarity  subjectivity\n",
+       "date                              \n",
+       "2020-01-01  0.004358      0.369293\n",
+       "2020-01-02 -0.001089      0.379444\n",
+       "2020-01-03  0.111727      0.440448\n",
+       "2020-01-04  0.040365      0.383991\n",
+       "2020-01-05  0.047351      0.418947"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts_daily = masks_ts.resample('D').mean()\n",
+    "masks_ts_daily.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime\n",
+    "\n",
+    "dates = []\n",
+    "start_date = datetime.date(2020, 1, 1)\n",
+    "end_date = datetime.date(2020, 6, 11)\n",
+    "delta = datetime.timedelta(days=1)\n",
+    "\n",
+    "while start_date <= end_date:\n",
+    "    dates.append(str(start_date))\n",
+    "    start_date += delta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "75"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "regex = \"#[mM]ask\"\n",
+    "series = masks[\"tweet\"]\n",
+    "test = series.str.contains(regex)\n",
+    "test.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "121     Oh how I would love if a fellow silicone maske...\n",
+       "266     It's happening! Lucy's Noelle sculpt is starti...\n",
+       "374     The mask for my new DnD character came 😍🤙🏻 #ma...\n",
+       "843     Prepping Hair ASMR Chewing Gum | Trying Collag...\n",
+       "976     Top Trumps! #trump #mask #maskedsinger #presid...\n",
+       "                              ...                        \n",
+       "6036    My idiot Governor ( @GovernorVA ) issued an ex...\n",
+       "6101    #Kobe & #GiGi custom #Mask 😷  pic.twitter.com/...\n",
+       "6163    @realDonaldTrump Please hold the Republican co...\n",
+       "6285    Please check out @WHO guidelines on mask weari...\n",
+       "6474    📺Masks on!📺@AZManufacturing's @agilbreath_az a...\n",
+       "Name: tweet, Length: 75, dtype: object"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks[masks['tweet'].str.contains(r'#[mM]ask')]['tweet']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 277,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['i',\n",
+       " 'me',\n",
+       " 'my',\n",
+       " 'myself',\n",
+       " 'we',\n",
+       " 'our',\n",
+       " 'ours',\n",
+       " 'ourselves',\n",
+       " 'you',\n",
+       " \"you're\",\n",
+       " \"you've\",\n",
+       " \"you'll\",\n",
+       " \"you'd\",\n",
+       " 'your',\n",
+       " 'yours',\n",
+       " 'yourself',\n",
+       " 'yourselves',\n",
+       " 'he',\n",
+       " 'him',\n",
+       " 'his',\n",
+       " 'himself',\n",
+       " 'she',\n",
+       " \"she's\",\n",
+       " 'her',\n",
+       " 'hers',\n",
+       " 'herself',\n",
+       " 'it',\n",
+       " \"it's\",\n",
+       " 'its',\n",
+       " 'itself',\n",
+       " 'they',\n",
+       " 'them',\n",
+       " 'their',\n",
+       " 'theirs',\n",
+       " 'themselves',\n",
+       " 'what',\n",
+       " 'which',\n",
+       " 'who',\n",
+       " 'whom',\n",
+       " 'this',\n",
+       " 'that',\n",
+       " \"that'll\",\n",
+       " 'these',\n",
+       " 'those',\n",
+       " 'am',\n",
+       " 'is',\n",
+       " 'are',\n",
+       " 'was',\n",
+       " 'were',\n",
+       " 'be',\n",
+       " 'been',\n",
+       " 'being',\n",
+       " 'have',\n",
+       " 'has',\n",
+       " 'had',\n",
+       " 'having',\n",
+       " 'do',\n",
+       " 'does',\n",
+       " 'did',\n",
+       " 'doing',\n",
+       " 'a',\n",
+       " 'an',\n",
+       " 'the',\n",
+       " 'and',\n",
+       " 'but',\n",
+       " 'if',\n",
+       " 'or',\n",
+       " 'because',\n",
+       " 'as',\n",
+       " 'until',\n",
+       " 'while',\n",
+       " 'of',\n",
+       " 'at',\n",
+       " 'by',\n",
+       " 'for',\n",
+       " 'with',\n",
+       " 'about',\n",
+       " 'against',\n",
+       " 'between',\n",
+       " 'into',\n",
+       " 'through',\n",
+       " 'during',\n",
+       " 'before',\n",
+       " 'after',\n",
+       " 'above',\n",
+       " 'below',\n",
+       " 'to',\n",
+       " 'from',\n",
+       " 'up',\n",
+       " 'down',\n",
+       " 'in',\n",
+       " 'out',\n",
+       " 'on',\n",
+       " 'off',\n",
+       " 'over',\n",
+       " 'under',\n",
+       " 'again',\n",
+       " 'further',\n",
+       " 'then',\n",
+       " 'once',\n",
+       " 'here',\n",
+       " 'there',\n",
+       " 'when',\n",
+       " 'where',\n",
+       " 'why',\n",
+       " 'how',\n",
+       " 'all',\n",
+       " 'any',\n",
+       " 'both',\n",
+       " 'each',\n",
+       " 'few',\n",
+       " 'more',\n",
+       " 'most',\n",
+       " 'other',\n",
+       " 'some',\n",
+       " 'such',\n",
+       " 'no',\n",
+       " 'nor',\n",
+       " 'not',\n",
+       " 'only',\n",
+       " 'own',\n",
+       " 'same',\n",
+       " 'so',\n",
+       " 'than',\n",
+       " 'too',\n",
+       " 'very',\n",
+       " 's',\n",
+       " 't',\n",
+       " 'can',\n",
+       " 'will',\n",
+       " 'just',\n",
+       " 'don',\n",
+       " \"don't\",\n",
+       " 'should',\n",
+       " \"should've\",\n",
+       " 'now',\n",
+       " 'd',\n",
+       " 'll',\n",
+       " 'm',\n",
+       " 'o',\n",
+       " 're',\n",
+       " 've',\n",
+       " 'y',\n",
+       " 'ain',\n",
+       " 'aren',\n",
+       " \"aren't\",\n",
+       " 'couldn',\n",
+       " \"couldn't\",\n",
+       " 'didn',\n",
+       " \"didn't\",\n",
+       " 'doesn',\n",
+       " \"doesn't\",\n",
+       " 'hadn',\n",
+       " \"hadn't\",\n",
+       " 'hasn',\n",
+       " \"hasn't\",\n",
+       " 'haven',\n",
+       " \"haven't\",\n",
+       " 'isn',\n",
+       " \"isn't\",\n",
+       " 'ma',\n",
+       " 'mightn',\n",
+       " \"mightn't\",\n",
+       " 'mustn',\n",
+       " \"mustn't\",\n",
+       " 'needn',\n",
+       " \"needn't\",\n",
+       " 'shan',\n",
+       " \"shan't\",\n",
+       " 'shouldn',\n",
+       " \"shouldn't\",\n",
+       " 'wasn',\n",
+       " \"wasn't\",\n",
+       " 'weren',\n",
+       " \"weren't\",\n",
+       " 'won',\n",
+       " \"won't\",\n",
+       " 'wouldn',\n",
+       " \"wouldn't\",\n",
+       " \"i've\"]"
+      ]
+     },
+     "execution_count": 277,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stop_words = stopwords.words('english')\n",
+    "stop_words"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['My #coronavirus mask matches the menu. That’s the universe talking, saying “eat burnt ends” @BrothersbbqCO pic.twitter.com/ePJOiZLz6O',\n",
+       " 'Mask up and stay safe....#coronavirus #covid19 #graphicdesign #graphicdesigner #lineart #logo #art @skylinegrafx\\n#logodesigners #banners #fliers #animations #businesscard #emadexgraphics #2020 #logodesigners…  https://www.instagram.com/p/B_qh_tqhiuv/?igshid=ai2s53ezjpke\\xa0…',\n",
+       " 'No. Masks are mostly voluntary. They help protect yourself and others. They do not prevent the spread of covid19 but are a super easy way to reduce the chance of spread. It’s what smart, good people do because they care about fellow human beings.',\n",
+       " '@JNJNews : cut covid wear covid killing mask to kill virus @nose prevent spread by patients carriers to healthy. Can you make for USA,?vijayanrd@gmail.com. kill virus end  http://epidemic.Save\\xa0 economy lives, wear to job travel pic.twitter.com/LjPpeskJym',\n",
+       " 'Your right we don’t. \\nYou don’t know my daughter is nurse, has worked on Covid wards for over a month.... first few days.... nothing more than one surgical mask. 12 hours shifts. \\nMy partner is a nurse too. At a care home.  I won’t go into details.']"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tweets = [tweet for tweet in test_5k['tweet']]\n",
+    "tweets[5:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 286,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'wear mask and always wash your hands with soap guys  https://twitter.com/mszikr/status/1220138876108333056\\xa0…'"
+      ]
+     },
+     "execution_count": 286,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tweets[901]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 287,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'wear mask always wash hands soap guys'"
+      ]
+     },
+     "execution_count": 287,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clean_text(tweets[901])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ \n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask & it stays on until 1 returns home. That provides maximum protection 4 every1. If #COVID__19 is a pandemic it should be addressed with maximum protection 4 all. #Masks\n",
+      "{'neg': 0.0, 'neu': 0.908, 'pos': 0.092, 'compound': 0.6566}\n",
+      "Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-transgenders-sew-and-distribute-masks-in-slum-area-amid-covid-19-spread/videoshow/75494786.cms …\n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM\n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's getting antsy - but understands that COVID is a death sentence for her.\n",
+      "{'neg': 0.163, 'neu': 0.761, 'pos': 0.076, 'compound': -0.7482}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "# test_5k['sentiment'] = test_5k['tweet'].apply(lambda x: analyzer.polarity_scores(x))\n",
+    "\n",
+    "for tweet in tweets[:5]:\n",
+    "    vs = analyzer.polarity_scores(tweet)\n",
+    "    print(tweet)\n",
+    "    print(f\"{str(vs)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 10)"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "      <th>pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity pos  \n",
+       "0      0.288889  NN  \n",
+       "1      0.425000  NN  \n",
+       "2      0.000000  VB  \n",
+       "3      0.000000  NN  \n",
+       "4      0.648409  VB  "
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "NN     0.541166\n",
+       "NNS    0.384220\n",
+       "JJ     0.027616\n",
+       "VB     0.022642\n",
+       "VBZ    0.007547\n",
+       "VBP    0.004974\n",
+       "VBN    0.003602\n",
+       "VBD    0.002916\n",
+       "NNP    0.001715\n",
+       "SYM    0.000858\n",
+       "VBG    0.000686\n",
+       "FW     0.000686\n",
+       "RB     0.000515\n",
+       "PRP    0.000343\n",
+       "IN     0.000343\n",
+       "JJR    0.000172\n",
+       "Name: pos, dtype: float64"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.pos.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 231,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1. Get a wrist brace for the carpal tunnel\n",
+      "2. Take a pill for the prostate\n",
+      "3. Get breathe rite strips\n",
+      "4. Get wife apnea mask\n",
+      "5. Take cover until november than vote the orange man out.\n",
+      "Lil bruh said fuck it mask off\n",
+      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "\"fuck it, mask off\"\n",
+      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
+      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
+      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
+      "\n",
+      "Don't spread fake news, thanks. \n",
+      "People is already scared...\n",
+      "Pop smoke dior\n",
+      "Drake war\n",
+      "Futur mask off\n",
+      "fuck it mask off\n",
+      "Fuck it mask off\n",
+      "They really just said \"fuck it mask off\"\n",
+      "Only fck wit rich niggas fck it mask off\n",
+      "Mask on 😷😷\n",
+      "Fuck it mask off 😶😶 type shit\n",
+      "Never gonna stop, give it up, such dirty hands\n",
+      "I always mask it up, for the touch of the dumber kind\n",
+      "My, my, my, aye-aye, whoa!\n",
+      "M-m-m-my carona\n",
+      "fuck it mask off\n",
+      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
+      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 288,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0      spongebob slides sand mountain tree oxygen mask\n",
+       "1    started freshly washed bed sheets face mask be...\n",
+       "2    using coverage yellow card mask fact team lost...\n",
+       "3                                                 mask\n",
+       "4    know mean depressed mask pain let others happy...\n",
+       "5    daughter sick nasty cough weeks ignores advice...\n",
+       "6    grinningcatface pencil aside butt masks yes ex...\n",
+       "7    energy something else post pics generic lookin...\n",
+       "8                      kind mask much one different us\n",
+       "9    market moved given detox scalp mask since prom...\n",
+       "Name: clean_tweet, dtype: object"
+      ]
+     },
+     "execution_count": 288,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
+    "masks_cleaned = masks['clean_tweet']\n",
+    "masks_cleaned.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 290,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 15034 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
+       "0   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
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+       "4   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "\n",
+       "   zorro  zosakonc  zpacks  zsasz  zthickness  zuckerberg  zuko  zurich  \\\n",
+       "0      0         0       0      0           0           0     0       0   \n",
+       "1      0         0       0      0           0           0     0       0   \n",
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+       "3      0         0       0      0           0           0     0       0   \n",
+       "4      0         0       0      0           0           0     0       0   \n",
+       "\n",
+       "   zvanetsa  \n",
+       "0         0  \n",
+       "1         0  \n",
+       "2         0  \n",
+       "3         0  \n",
+       "4         0  \n",
+       "\n",
+       "[5 rows x 15034 columns]"
+      ]
+     },
+     "execution_count": 290,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks_cleaned)\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 292,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 294,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
+       " (1,\n",
+       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
+       " (2,\n",
+       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
+       " (3,\n",
+       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
+       " (4,\n",
+       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
+      ]
+     },
+     "execution_count": 294,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(52473, 17)"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
+    "test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date        date      \n",
+       "2020-05-01  2020-05-01    10017\n",
+       "2020-05-02  2020-05-02    12871\n",
+       "2020-05-03  2020-05-03     9557\n",
+       "2020-05-04  2020-05-04    10019\n",
+       "Name: date, dtype: int64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.date.groupby(test.date).value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2020-05-02'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.date[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dtype('int64')"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.index.dtype"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "Lengths must match to compare",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-9-a72467af13ba>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'2020-05-02'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/common.py\u001b[0m in \u001b[0;36mnew_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m     62\u001b[0m         \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/__init__.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    527\u001b[0m         \u001b[0mrvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    528\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 529\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomparison_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    530\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    531\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_construct_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomparison_op\u001b[0;34m(left, right, op)\u001b[0m\n\u001b[1;32m    232\u001b[0m         \u001b[0;31m#  The ambiguous case is object-dtype.  See GH#27803\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    233\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 234\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Lengths must match to compare\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mshould_extension_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: Lengths must match to compare"
+     ]
+    }
+   ],
+   "source": [
+    "test.drop(columns=test['date'] == ['2020-05-02'], axis=0)\n",
+    "test.date.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'DataFrameGroupBy' object has no attribute 'iloc'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-30-20f88ef36df4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'tweet'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrameGroupBy' object has no attribute 'iloc'"
+     ]
+    }
+   ],
+   "source": [
+    "test[test['tweet'].str.contains(filt)].groupby('date').iloc[:5000,:].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filt = filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'DataFrameGroupBy' object has no attribute 'value_counts'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-13-8a495e175fa0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'covid|corona|covid19|coronavirus'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrameGroupBy' object has no attribute 'value_counts'"
+     ]
+    }
+   ],
+   "source": [
+    "test[test.tweet.str.contains(filt)].groupby('date').value_counts()\n",
+    "                                                                         \n",
+    "                                                                         \n",
+    "                                                                         \n",
+    "                                                                         "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(31546, 17)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k = test[test.tweet.str.contains(filt)].groupby('date').head(6400)\n",
+    "test_5k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01    6118\n",
+       "2020-05-02    6400\n",
+       "2020-05-03    6283\n",
+       "2020-05-04    6366\n",
+       "2020-05-05    6379\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k.groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>263966773</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>839786785</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1210423564052004865</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
+       "      <td>39323281</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2284107283</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50377</th>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1588690216000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
+       "      <td>['#coronavirus']</td>\n",
+       "      <td>43413162</td>\n",
+       "      <td>ThirstiesInc</td>\n",
+       "      <td>Thirsties Inc</td>\n",
+       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50379</th>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1588690206000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>As President Trump attempts to project an imag...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>14915067</td>\n",
+       "      <td>witfnews</td>\n",
+       "      <td>WITF news</td>\n",
+       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50381</th>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1588690203000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
+       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
+       "      <td>218949823</td>\n",
+       "      <td>Hellacort</td>\n",
+       "      <td>David Hilycord</td>\n",
+       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50382</th>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1588690198000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>146037421</td>\n",
+       "      <td>briandordevic</td>\n",
+       "      <td>Brian Dordevic 📲📷📈</td>\n",
+       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50383</th>\n",
+       "      <td>1257683935116627968</td>\n",
+       "      <td>1257619031588319234</td>\n",
+       "      <td>1588690191000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>757353589966827522</td>\n",
+       "      <td>HRH_LUCY_NL</td>\n",
+       "      <td>HRH Princess Lucy</td>\n",
+       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>25000 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id      conversation_id     created_at        date  \\\n",
+       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "...                    ...                  ...            ...         ...   \n",
+       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
+       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
+       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
+       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
+       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
+       "\n",
+       "                                                   tweet  \\\n",
+       "4      Coronavirus-Did the US just supply a million f...   \n",
+       "22     Absolutely. Most successful countries address ...   \n",
+       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26     I only sneak out every 4 days or so for grocer...   \n",
+       "...                                                  ...   \n",
+       "50377  \"Clutches have been awesome during #coronaviru...   \n",
+       "50379  As President Trump attempts to project an imag...   \n",
+       "50381  Coronavirus, face masks and America's new faul...   \n",
+       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
+       "50383  @Koning_NL It appears, still the only people w...   \n",
+       "\n",
+       "                                                hashtags              user_id  \\\n",
+       "4                                                     []            263966773   \n",
+       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
+       "23                                                    []  1210423564052004865   \n",
+       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
+       "26                                                    []           2284107283   \n",
+       "...                                                  ...                  ...   \n",
+       "50377                                   ['#coronavirus']             43413162   \n",
+       "50379                                                 []             14915067   \n",
+       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
+       "50382                                                 []            146037421   \n",
+       "50383                                                 []   757353589966827522   \n",
+       "\n",
+       "              username                name  \\\n",
+       "4       modernactivism     Modern Activism   \n",
+       "22      RealRandyCohen               ARJAY   \n",
+       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24        themamamaven  Nancy Johnson Horn   \n",
+       "26            NolandTt          Tom Noland   \n",
+       "...                ...                 ...   \n",
+       "50377     ThirstiesInc       Thirsties Inc   \n",
+       "50379         witfnews           WITF news   \n",
+       "50381        Hellacort      David Hilycord   \n",
+       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
+       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
+       "\n",
+       "                                                    link  retweet  nlikes  \\\n",
+       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
+       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
+       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
+       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
+       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
+       "...                                                  ...      ...     ...   \n",
+       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
+       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
+       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
+       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
+       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
+       "\n",
+       "       nreplies  nretweets                                          quote_url  \\\n",
+       "4             0          0                                                NaN   \n",
+       "22            0          0                                                NaN   \n",
+       "23            0          0                                                NaN   \n",
+       "24            1          9                                                NaN   \n",
+       "26            0          0                                                NaN   \n",
+       "...         ...        ...                                                ...   \n",
+       "50377         0          0                                                NaN   \n",
+       "50379         0          0                                                NaN   \n",
+       "50381         1          8                                                NaN   \n",
+       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
+       "50383         0          0                                                NaN   \n",
+       "\n",
+       "       retweet_id                                           reply_to  \n",
+       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
+       "...           ...                                                ...  \n",
+       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
+       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
+       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
+       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
+       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
+       "\n",
+       "[25000 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
+     ]
+    }
+   ],
+   "source": [
+    "test.groupby('date').tweet.str.contains('corona').value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
+      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
+      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
+      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
+      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
+      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
+      "Now that there is an ease on Lagos lockdown.\n",
+      "\n",
+      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
+      "\n",
+      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
+      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
+      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
+      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
+      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
+      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
+      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
+      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
+      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
+      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
+      "\n",
+      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
+      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
+      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
+      "\n",
+      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
+      "God the inside of the eye looks like a fuckin rubber mask\n",
+      "mask: on\n",
+      "me: horny \n",
+      "@breanna_gar i’m GEEEEKING rn 😂\n",
+      "Talk about the face mask 😹😹😹\n",
+      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
+      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
+      "\n",
+      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
+      "\n",
+      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
+      "@MayorBowser @GovernorVA\n",
+      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
+      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
+      "oh well lol no mask here either .. ever... \n",
+      "\n",
+      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
+      "Grateful that my neighborhood smells really really good even through a mask\n",
+      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
+      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
+      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
+      "NOW they care? Typical Republican behavior:\n",
+      "Against govnt assistance, until they lose their job.\n",
+      "Against federal aid, until that hurricane hits.\n",
+      "Against womens' right to choose, until someone makes them wear a mask.\n",
+      "#VoteBlueToCleanUpThisCrapAgain\n",
+      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
+      "\n",
+      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
+      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
+      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
+      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
+      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
+      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
+      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
+      "I am just glad the mask covers up her but ugly face.\n",
+      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
+      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
+      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
+      "When will it sink in? This is deadly serious.\n",
+      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
+      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
+      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
+      "Another fake video? Nobody is wearing face mask thou🤔\n",
+      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
+      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
+      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
+      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
+      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in test.tweet[50:100]:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
+       "1  Ready to heard this? Homemade hair treatment a...   \n",
+       "2  We all know what a joke #CCPChina is when it c...   \n",
+       "3        Thought death masks gave you the horn freak   \n",
+       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name                                               link  \\\n",
+       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
+       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
+       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
+       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
+       "\n",
+       "   retweet  nlikes  nreplies  nretweets  \\\n",
+       "0    False     1.0       0.0        1.0   \n",
+       "1    False     0.0       0.0        0.0   \n",
+       "2    False     1.0       1.0        1.0   \n",
+       "3    False     0.0       0.0        0.0   \n",
+       "4    False     1.0       0.0        1.0   \n",
+       "\n",
+       "                                           quote_url  retweet_id  \\\n",
+       "0                                                NaN         NaN   \n",
+       "1                                                NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
+       "3                                                NaN         NaN   \n",
+       "4                                                NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '843195118924546048', 'username':...  \n",
+       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
+       "2  [{'user_id': '963032516759207936', 'username':...  \n",
+       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]['compound']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.000757438644754942"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    masks.sentiment_score > .05,\n",
+    "    masks.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    17100\n",
+       "positive    16882\n",
+       "neutral      7457\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.221553e+09</td>\n",
+       "      <td>chong_wh96</td>\n",
+       "      <td>Chong_wH</td>\n",
+       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.075768e+09</td>\n",
+       "      <td>Yamanik30</td>\n",
+       "      <td>ACAB</td>\n",
+       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.156025e+09</td>\n",
+       "      <td>JaceLucena</td>\n",
+       "      <td>katka</td>\n",
+       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.583843e+07</td>\n",
+       "      <td>nyman11209</td>\n",
+       "      <td>Hobonator</td>\n",
+       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
+       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
+       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
+       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
+       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
+       "\n",
+       "        username       name  \\\n",
+       "0     chong_wh96   Chong_wH   \n",
+       "1      Yamanik30       ACAB   \n",
+       "2  Harry31348302      Harry   \n",
+       "3     JaceLucena      katka   \n",
+       "4     nyman11209  Hobonator   \n",
+       "\n",
+       "                                                link retweet  nlikes  \\\n",
+       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
+       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
+       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
+       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
+       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
+       "\n",
+       "   nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0       0.0        0.0       NaN         NaN   \n",
+       "1       0.0        0.0       NaN         NaN   \n",
+       "2       0.0        0.0       NaN         NaN   \n",
+       "3       0.0        1.0       NaN         NaN   \n",
+       "4       0.0        0.0       NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
+       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
+       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "masks2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks2.sentiment_score > .05,\n",
+    "    masks2.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    38152\n",
+       "positive    31819\n",
+       "neutral     14237\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.03440293915067452"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    }
+   ],
+   "source": [
+    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks3.sentiment_score > .05,\n",
+    "    masks3.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    34682\n",
+       "positive    32128\n",
+       "neutral     13190\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.013039305000000001"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply text cleaning techniques\n",
+    "def clean_text(text, stop_words):\n",
+    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
+    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
+    "    remove stop words.'''\n",
+    "    \n",
+    "    # make text lowercase\n",
+    "    text = text.lower() \n",
+    "    \n",
+    "    # remove mentions\n",
+    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
+    "    \n",
+    "    # remove links\n",
+    "    text = re.sub(r'http\\S+', '', text) \n",
+    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
+    "    \n",
+    "    # convert emoticons\n",
+    "    emoticons = load_dict_emoticons()\n",
+    "    words = text.split()\n",
+    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
+    "    tweet = ' '.join(words_edit)\n",
+    "\n",
+    "    # convert emojis\n",
+    "    text = emoji.demojize(text)\n",
+    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
+    "    \n",
+    "    # remove punctuation\n",
+    "    text = text.replace('...', ' ') # special cases\n",
+    "    text = text.translate(str.maketrans('', '', '!\"$%&*()+,-./;<=>?@[\\\\]^_`{|}~')) \n",
+    "    \n",
+    "    # tokenize words\n",
+    "    tokenizer = RegexpTokenizer(\"([a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    \n",
+    "    # convert contractions\n",
+    "    contractions = load_dict_contractions()\n",
+    "    words = text.split()\n",
+    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
+    "    text = ' '.join(words_edit)\n",
+    "\n",
+    "    # remove stop words\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    words = [word for word in words if word not in stop_words]\n",
+    "    text = ' '.join(words)\n",
+    "    \n",
+    "    return text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words = stopwords.words('english')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words += ['mask', '#mask',\n",
+    "               'masks', '#masks',\n",
+    "               'face', '#face',\n",
+    "               'facemask', '#facemask',\n",
+    "               'facemasks', '#facemasks', \n",
+    "               'covid', '#covid',\n",
+    "               'covid19', '#covid19',\n",
+    "               'corona', '#corona',\n",
+    "               'coronavirus', '#coronavirus',\n",
+    "               'rona', '#rona',\n",
+    "               'virus', '#virus',\n",
+    "               'viral', '#viral',\n",
+    "               'viruses', '#viruses']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The new police issue masks might not prevent covid19 identifying them as human.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "… I guess Nancy can put in masks for everyone in her coronavirus funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
+      "\n",
+      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
+      "\n",
+      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
+      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Cara mengingat pencegahan virus\n",
+      " W-U-H-A-N:\n",
+      "\n",
+      "Bahasa Inggris*\n",
+      "\n",
+      "*W* - wash hands\n",
+      "*U* - use mask properly\n",
+      "*H* - have temperature checked regularly\n",
+      "*A* - avoid large crowds\n",
+      "*N* - never touch your face with unclean hands\n",
+      "\n",
+      "#CoronaVirusIndonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
+      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "#coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
+      "\n",
+      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "\"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
+      "\n",
+      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
+      "\n",
+      "#CoronaVirusUpdate \n",
+      "@TheUnhingedOne_\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
+      "\n",
+      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "The Coronavirus is freaking me out. At least I got some masks. 😷\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Current in demand items selling out in stores but available on Amazon: \n",
+      "Water  https://amzn.to/2vurRCi \n",
+      "Masks  https://amzn.to/2wT7M8X \n",
+      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
+      "ad \n",
+      "#coronavirus #coronavirusus #coronavirususa\n",
+      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
+      "#coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
+      "\n",
+      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
+      "\n",
+      "Don’t give me , washing hands is better malarkey. \n",
+      "\n",
+      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
+      "\n",
+      "#coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks3['tweet'].head(50):\n",
+    "    print(tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "new police issue might prevent identifying human\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "wear need go outside benefit using benefit much basic hygiene manners\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "guess nancy put everyone funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "washing hands disinfecting electronics save\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "americans worried need buy us surgeon general says\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "people worried start wearing guess made china facewithtearsofjoy\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "get toilet paper sanitizer paper towels tissues vodka next people waiting line hours stores open buy stuff going try luck costco today japan coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "webinar discuss research related longterm respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register emgtwitter\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "yet wear worried leading charge\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "backed next gen pollution filtration botanicals\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "doctors talked apparently help effective hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "cara mengingat pencegahan wuhan bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands coronavirusindonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "since medical running stock try going environmentally friendly getting reusable\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "seeing glammed love blackpeople going fly regardless periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "nyc panic shopping brunch packed\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "trump empathy compassion care people die cares think poe red death maralago hideaway wall country ravaged disease\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "ny panic shopping brunch packed kimiko de freytastamura via nyt check contact us small business needs\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "snapchat shoulda made filters irl could keep cute\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "freaking least got facewithmedicalmask\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "need go see doctor example wear surgical protect others needed unwell go\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "okay celeb wearing met gala year saying fit inspired\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "funniest part basic protect either lol requires n95 respirator\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "facewithmedicalmask prevent experts say depends\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "prepare washing hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "current demand items selling stores available amazon water hand sanitizer ad coronavirusus coronavirususa sarscov19 sarscov2 china wuhan flu coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "ironic say saying effective preventing infection\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipelineall deadline soon possible yea\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "one doctors tells wear protect totally dysfunctional immune system going wear\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "babies flight today see one person huge airport media democrats worried\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "job homedepot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "damn surgical block incompetent send flood god\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "interested raising fears canada suggesting wear speculating financial impact canada housing think slow hot housing markets usher correction markets ldnont\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks3['cleaned_tweet'].head(50):\n",
+    "    print(tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "</style>\n",
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 56317 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a0  a1  a10  a2  a3  a4  a5  a9  aa  aa377  ...  zulus  zum  zuma  zumba  \\\n",
+       "0   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
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+       "4   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
+       "\n",
+       "   zurich  zville  zweli  zyad  zyada  zzz  \n",
+       "0       0       0      0     0      0    0  \n",
+       "1       0       0      0     0      0    0  \n",
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+       "4       0       0      0     0      0    0  \n",
+       "\n",
+       "[5 rows x 56317 columns]"
+      ]
+     },
+     "execution_count": 113,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/josh-twitter_scraping_notebook.ipynb b/josh-twitter_scraping_notebook.ipynb
index ae758e8..13cf55f 100644
--- a/josh-twitter_scraping_notebook.ipynb
+++ b/josh-twitter_scraping_notebook.ipynb
@@ -2,9 +2,18 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 223,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The autoreload extension is already loaded. To reload it, use:\n",
+      "  %reload_ext autoreload\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -34,17 +43,33 @@
     "from functions import *"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 215,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('max_colwidth', 150)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Twitter scrape"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def twint_search(search, username=None, since=None, until=None, limit=None):\n",
+    "def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):\n",
     "    '''\n",
-    "    Function to return a pandas dataframe of tweets in English containing term using twint search method.\n",
+    "    Function to return a pandas dataframe of tweets in English containing search terms using twint.\n",
     "    Required parameter: search term.\n",
-    "    Optional parameters: username, beginning (since) and end (until) datetimes to search, maximum number of tweets.\n",
+    "    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).\n",
     "    '''\n",
     "    c = twint.Config()\n",
     "    c.Lang = 'en'\n",
@@ -54,9 +79,12 @@
     "    c.Until = until\n",
     "    c.Limit = limit\n",
     "    c.Pandas = True\n",
+    "    # Hide the printing of every tweet during scrape\n",
     "    c.Hide_output = True\n",
     "    twint.run.Search(c)\n",
     "    df = twint.storage.panda.Tweets_df\n",
+    "    # Transform date string into datetime object\n",
+    "    df['date'] = pd.to_datetime(df['date']).dt.date\n",
     "    return df"
    ]
   },
@@ -66,15 +94,27 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "def search_loop(start_date, end_date, search, username=None, limit=None):\n",
+    "def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):\n",
+    "    '''\n",
+    "    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.\n",
+    "    Periodically saves progress to CSV after each daily search.\n",
+    "    Required parameters: start date, end date, search term.\n",
+    "    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).\n",
+    "    '''\n",
     "    df = pd.DataFrame()\n",
     "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
     "    for d in range(len(date_range) - 1):\n",
     "        since = date_range[d].strftime('%Y-%m-%d')\n",
     "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
-    "        day_df = twint_search(search=search, username=username, since=since, until=until, limit=limit)\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)\n",
+    "        # Drop empty columns\n",
+    "        day_df.drop(columns=drop_cols, axis=1, inplace=True)\n",
+    "        # Add new daily data to dataframe, reset index, save to CSV\n",
     "        df = pd.concat([df, day_df])\n",
-    "    df.reset_index(drop=True, inplace=True)\n",
+    "        del day_df\n",
+    "        df.reset_index(drop=True, inplace=True)\n",
+    "        df.to_csv(f'Datasets/{filename}.csv')\n",
+    "        print(datetime.now(), f'{since} Saved!')\n",
     "    return df"
    ]
   },
@@ -203,12 +243,20 @@
     }
    ],
    "source": [
-    "masks_df = search_loop(start_date='2020-01-01',\n",
-    "                       end_date='2020-06-11',\n",
-    "                       search='(mask OR masks) -(ski OR zelda OR majora OR majoras)',\n",
-    "                       username=None,\n",
-    "                       limit=25)\n",
-    "masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']].head()"
+    "# Search loop params for March tweets\n",
+    "\n",
+    "start_date = '2020-05-01'\n",
+    "\n",
+    "end_date = '2020-05-16'\n",
+    "\n",
+    "search = '(mask OR masks) AND (covid OR covid19 OR corona OR coronavirus)'\n",
+    "\n",
+    "filename = 'may_first_half_tweets'\n",
+    "\n",
+    "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
+    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']\n",
+    "\n",
+    "limit = 10000"
    ]
   },
   {
@@ -228,964 +276,988 @@
     }
    ],
    "source": [
-    "masks = masks_df[['date', 'username', 'tweet', 'hashtags', 'nlikes', 'nreplies', 'retweet', 'nretweets']]\n",
-    "masks.shape"
+    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename,\\\n",
+    "                       drop_cols=drop_cols, limit=limit)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Preparing csvs"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 174,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n",
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
-     ]
-    },
+     "data": {
+      "text/plain": [
+       "(191902, 17)"
+      ]
+     },
+     "execution_count": 174,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
+    "test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
-       "\n",
-       "   subjectivity  \n",
-       "0      0.288889  \n",
-       "1      0.425000  \n",
-       "2      0.000000  \n",
-       "3      0.000000  \n",
-       "4      0.648409  "
+       "date\n",
+       "2020-05-01     10017\n",
+       "2020-05-02     12871\n",
+       "2020-05-03      9557\n",
+       "2020-05-04     10019\n",
+       "2020-05-05     10009\n",
+       "2020-05-06     18885\n",
+       "2020-05-07     10000\n",
+       "2020-05-08     10010\n",
+       "2020-05-09     10017\n",
+       "2020-05-10      9676\n",
+       "2020-05-11     10000\n",
+       "2020-05-12     10008\n",
+       "2020-05-13     40812\n",
+       "2020-05-14     10000\n",
+       "2020-05-15     10019\n",
+       "Stat Butler        2\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 175,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
-    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
-    "masks.head()"
+    "test.groupby('date').tweet.count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 176,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+       "(144036, 17)"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 176,
      "metadata": {},
      "output_type": "execute_result"
-    },
+    }
+   ],
+   "source": [
+    "test_drop = test.drop_duplicates(subset='tweet')\n",
+    "test_drop = test_drop.drop_duplicates(subset='id')\n",
+    "test_drop.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags                2\n",
+       "user_id                 2\n",
+       "username                2\n",
+       "name                    7\n",
+       "link                    3\n",
+       "retweet                 3\n",
+       "nlikes                  2\n",
+       "nreplies                3\n",
+       "nretweets               3\n",
+       "quote_url          133479\n",
+       "retweet_id         144036\n",
+       "reply_to                3\n",
+       "dtype: int64"
       ]
      },
+     "execution_count": 177,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "sns.set_style('ticks')\n",
-    "\n",
-    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
+    "test_drop.isna().sum()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 178,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 date  polarity  subjectivity\n",
-       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
-       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
-       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
-       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
-       "4 2020-01-01 18:59:24  0.271591      0.648409"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
-    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
-    "masks_ts.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 95,
-   "metadata": {},
-   "outputs": [
+     "data": {
+      "text/plain": [
+       "id                 0\n",
+       "conversation_id    0\n",
+       "created_at         0\n",
+       "date               0\n",
+       "tweet              0\n",
+       "hashtags           0\n",
+       "user_id            0\n",
+       "username           0\n",
+       "name               0\n",
+       "link               0\n",
+       "retweet            0\n",
+       "nlikes             0\n",
+       "nreplies           0\n",
+       "nretweets          0\n",
+       "reply_to           0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.drop(columns=['quote_url', 'retweet_id'], inplace=True)\n",
+    "test_drop.dropna(inplace=True)\n",
+    "test_drop.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
       "text/plain": [
-       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
-       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
-       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
-       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
-       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
-       "               ...\n",
-       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
-       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
-       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
-       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+       "[]                     2\n",
+       "1256719851021897728    2\n",
+       "1256720281038716928    2\n",
+       "1256716917659906050    2\n",
+       "1256720164449468416    2\n",
+       "                      ..\n",
+       "1258825216035188737    1\n",
+       "1256329153134989313    1\n",
+       "1258539046386589698    1\n",
+       "1257656889011249152    1\n",
+       "1257786716036964356    1\n",
+       "Name: id, Length: 144036, dtype: int64"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 151,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts.set_index('date', inplace=True)\n",
-    "masks_ts.index"
+    "test_drop.id.value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 157,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.004358</td>\n",
-       "      <td>0.369293</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>-0.001089</td>\n",
-       "      <td>0.379444</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.111727</td>\n",
-       "      <td>0.440448</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.040365</td>\n",
-       "      <td>0.383991</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.047351</td>\n",
-       "      <td>0.418947</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "            polarity  subjectivity\n",
-       "date                              \n",
-       "2020-01-01  0.004358      0.369293\n",
-       "2020-01-02 -0.001089      0.379444\n",
-       "2020-01-03  0.111727      0.440448\n",
-       "2020-01-04  0.040365      0.383991\n",
-       "2020-01-05  0.047351      0.418947"
+       "(144036, 17)"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 157,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts_daily = masks_ts.resample('D').mean()\n",
-    "masks_ts_daily.head()"
+    "test_drop = test_drop.drop_duplicates(subset='id')\n",
+    "test_drop.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
-   "metadata": {},
+   "execution_count": 158,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+       "date\n",
+       "2020-05-01      9749\n",
+       "2020-05-02     12238\n",
+       "2020-05-03      9125\n",
+       "2020-05-04      9646\n",
+       "2020-05-05      9520\n",
+       "2020-05-06      9514\n",
+       "2020-05-07      9563\n",
+       "2020-05-08      9503\n",
+       "2020-05-09      9354\n",
+       "2020-05-10      8967\n",
+       "2020-05-11      9163\n",
+       "2020-05-12      9334\n",
+       "2020-05-13      9457\n",
+       "2020-05-14      9469\n",
+       "2020-05-15      9433\n",
+       "Stat Butler        1\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 158,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+    "test_drop.groupby('date').tweet.count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 160,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+       "date\n",
+       "2020-05-01    5933\n",
+       "2020-05-02    6192\n",
+       "2020-05-03    5888\n",
+       "2020-05-04    6076\n",
+       "2020-05-05    5939\n",
+       "2020-05-06    5788\n",
+       "2020-05-07    5762\n",
+       "2020-05-08    5457\n",
+       "2020-05-09    5738\n",
+       "2020-05-10    5468\n",
+       "2020-05-11    5676\n",
+       "2020-05-12    5599\n",
+       "2020-05-13    5783\n",
+       "2020-05-14    5613\n",
+       "2020-05-15    5810\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 98,
+     "execution_count": 160,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import datetime\n",
-    "\n",
-    "dates = []\n",
-    "start_date = datetime.date(2020, 1, 1)\n",
-    "end_date = datetime.date(2020, 6, 11)\n",
-    "delta = datetime.timedelta(days=1)\n",
+    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
     "\n",
-    "while start_date <= end_date:\n",
-    "    dates.append(str(start_date))\n",
-    "    start_date += delta"
+    "test_drop[test_drop.tweet.str.contains(filt)].groupby('date').tweet.count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 180,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "75"
+       "(75000, 15)"
       ]
      },
-     "execution_count": 102,
+     "execution_count": 180,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "regex = \"#[mM]ask\"\n",
-    "series = masks[\"tweet\"]\n",
-    "test = series.str.contains(regex)\n",
-    "test.sum()"
+    "test_5k = test_drop[test_drop.tweet.str.contains(filt)].groupby('date').head(5000)\n",
+    "test_5k.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 105,
-   "metadata": {},
+   "execution_count": 181,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "121     Oh how I would love if a fellow silicone maske...\n",
-       "266     It's happening! Lucy's Noelle sculpt is starti...\n",
-       "374     The mask for my new DnD character came 😍🤙🏻 #ma...\n",
-       "843     Prepping Hair ASMR Chewing Gum | Trying Collag...\n",
-       "976     Top Trumps! #trump #mask #maskedsinger #presid...\n",
-       "                              ...                        \n",
-       "6036    My idiot Governor ( @GovernorVA ) issued an ex...\n",
-       "6101    #Kobe & #GiGi custom #Mask 😷  pic.twitter.com/...\n",
-       "6163    @realDonaldTrump Please hold the Republican co...\n",
-       "6285    Please check out @WHO guidelines on mask weari...\n",
-       "6474    📺Masks on!📺@AZManufacturing's @agilbreath_az a...\n",
-       "Name: tweet, Length: 75, dtype: object"
+       "date\n",
+       "2020-05-01    5000\n",
+       "2020-05-02    5000\n",
+       "2020-05-03    5000\n",
+       "2020-05-04    5000\n",
+       "2020-05-05    5000\n",
+       "2020-05-06    5000\n",
+       "2020-05-07    5000\n",
+       "2020-05-08    5000\n",
+       "2020-05-09    5000\n",
+       "2020-05-10    5000\n",
+       "2020-05-11    5000\n",
+       "2020-05-12    5000\n",
+       "2020-05-13    5000\n",
+       "2020-05-14    5000\n",
+       "2020-05-15    5000\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 105,
+     "execution_count": 181,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks[masks['tweet'].str.contains(r'#[mM]ask')]['tweet']"
+    "test_5k.groupby('date')['tweet'].count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 208,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['i',\n",
-       " 'me',\n",
-       " 'my',\n",
-       " 'myself',\n",
-       " 'we',\n",
-       " 'our',\n",
-       " 'ours',\n",
-       " 'ourselves',\n",
-       " 'you',\n",
-       " \"you're\",\n",
-       " \"you've\",\n",
-       " \"you'll\",\n",
-       " \"you'd\",\n",
-       " 'your',\n",
-       " 'yours',\n",
-       " 'yourself',\n",
-       " 'yourselves',\n",
-       " 'he',\n",
-       " 'him',\n",
-       " 'his',\n",
-       " 'himself',\n",
-       " 'she',\n",
-       " \"she's\",\n",
-       " 'her',\n",
-       " 'hers',\n",
-       " 'herself',\n",
-       " 'it',\n",
-       " \"it's\",\n",
-       " 'its',\n",
-       " 'itself',\n",
-       " 'they',\n",
-       " 'them',\n",
-       " 'their',\n",
-       " 'theirs',\n",
-       " 'themselves',\n",
-       " 'what',\n",
-       " 'which',\n",
-       " 'who',\n",
-       " 'whom',\n",
-       " 'this',\n",
-       " 'that',\n",
-       " \"that'll\",\n",
-       " 'these',\n",
-       " 'those',\n",
-       " 'am',\n",
-       " 'is',\n",
-       " 'are',\n",
-       " 'was',\n",
-       " 'were',\n",
-       " 'be',\n",
-       " 'been',\n",
-       " 'being',\n",
-       " 'have',\n",
-       " 'has',\n",
-       " 'had',\n",
-       " 'having',\n",
-       " 'do',\n",
-       " 'does',\n",
-       " 'did',\n",
-       " 'doing',\n",
-       " 'a',\n",
-       " 'an',\n",
-       " 'the',\n",
-       " 'and',\n",
-       " 'but',\n",
-       " 'if',\n",
-       " 'or',\n",
-       " 'because',\n",
-       " 'as',\n",
-       " 'until',\n",
-       " 'while',\n",
-       " 'of',\n",
-       " 'at',\n",
-       " 'by',\n",
-       " 'for',\n",
-       " 'with',\n",
-       " 'about',\n",
-       " 'against',\n",
-       " 'between',\n",
-       " 'into',\n",
-       " 'through',\n",
-       " 'during',\n",
-       " 'before',\n",
-       " 'after',\n",
-       " 'above',\n",
-       " 'below',\n",
-       " 'to',\n",
-       " 'from',\n",
-       " 'up',\n",
-       " 'down',\n",
-       " 'in',\n",
-       " 'out',\n",
-       " 'on',\n",
-       " 'off',\n",
-       " 'over',\n",
-       " 'under',\n",
-       " 'again',\n",
-       " 'further',\n",
-       " 'then',\n",
-       " 'once',\n",
-       " 'here',\n",
-       " 'there',\n",
-       " 'when',\n",
-       " 'where',\n",
-       " 'why',\n",
-       " 'how',\n",
-       " 'all',\n",
-       " 'any',\n",
-       " 'both',\n",
-       " 'each',\n",
-       " 'few',\n",
-       " 'more',\n",
-       " 'most',\n",
-       " 'other',\n",
-       " 'some',\n",
-       " 'such',\n",
-       " 'no',\n",
-       " 'nor',\n",
-       " 'not',\n",
-       " 'only',\n",
-       " 'own',\n",
-       " 'same',\n",
-       " 'so',\n",
-       " 'than',\n",
-       " 'too',\n",
-       " 'very',\n",
-       " 's',\n",
-       " 't',\n",
-       " 'can',\n",
-       " 'will',\n",
-       " 'just',\n",
-       " 'don',\n",
-       " \"don't\",\n",
-       " 'should',\n",
-       " \"should've\",\n",
-       " 'now',\n",
-       " 'd',\n",
-       " 'll',\n",
-       " 'm',\n",
-       " 'o',\n",
-       " 're',\n",
-       " 've',\n",
-       " 'y',\n",
-       " 'ain',\n",
-       " 'aren',\n",
-       " \"aren't\",\n",
-       " 'couldn',\n",
-       " \"couldn't\",\n",
-       " 'didn',\n",
-       " \"didn't\",\n",
-       " 'doesn',\n",
-       " \"doesn't\",\n",
-       " 'hadn',\n",
-       " \"hadn't\",\n",
-       " 'hasn',\n",
-       " \"hasn't\",\n",
-       " 'haven',\n",
-       " \"haven't\",\n",
-       " 'isn',\n",
-       " \"isn't\",\n",
-       " 'ma',\n",
-       " 'mightn',\n",
-       " \"mightn't\",\n",
-       " 'mustn',\n",
-       " \"mustn't\",\n",
-       " 'needn',\n",
-       " \"needn't\",\n",
-       " 'shan',\n",
-       " \"shan't\",\n",
-       " 'shouldn',\n",
-       " \"shouldn't\",\n",
-       " 'wasn',\n",
-       " \"wasn't\",\n",
-       " 'weren',\n",
-       " \"weren't\",\n",
-       " 'won',\n",
-       " \"won't\",\n",
-       " 'wouldn',\n",
-       " \"wouldn't\",\n",
-       " \"i've\"]"
-      ]
-     },
-     "execution_count": 277,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "stop_words = stopwords.words('english')\n",
-    "stop_words"
+    "test_5k.to_csv('Datasets/5k_may_1_15_tweets.csv')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 209,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.639668e+08</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>8.397868e+08</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.210424e+18</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
+       "      <td>3.932328e+07</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.284107e+09</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "['My #coronavirus mask matches the menu. That’s the universe talking, saying “eat burnt ends” @BrothersbbqCO pic.twitter.com/ePJOiZLz6O',\n",
-       " 'Mask up and stay safe....#coronavirus #covid19 #graphicdesign #graphicdesigner #lineart #logo #art @skylinegrafx\\n#logodesigners #banners #fliers #animations #businesscard #emadexgraphics #2020 #logodesigners…  https://www.instagram.com/p/B_qh_tqhiuv/?igshid=ai2s53ezjpke\\xa0…',\n",
-       " 'No. Masks are mostly voluntary. They help protect yourself and others. They do not prevent the spread of covid19 but are a super easy way to reduce the chance of spread. It’s what smart, good people do because they care about fellow human beings.',\n",
-       " '@JNJNews : cut covid wear covid killing mask to kill virus @nose prevent spread by patients carriers to healthy. Can you make for USA,?vijayanrd@gmail.com. kill virus end  http://epidemic.Save\\xa0 economy lives, wear to job travel pic.twitter.com/LjPpeskJym',\n",
-       " 'Your right we don’t. \\nYou don’t know my daughter is nurse, has worked on Covid wards for over a month.... first few days.... nothing more than one surgical mask. 12 hours shifts. \\nMy partner is a nurse too. At a care home.  I won’t go into details.']"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "tweets = [tweet for tweet in test_5k['tweet']]\n",
-    "tweets[5:10]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 286,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'wear mask and always wash your hands with soap guys  https://twitter.com/mszikr/status/1220138876108333056\\xa0…'"
+       "                     id      conversation_id     created_at        date  \\\n",
+       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "4   Coronavirus-Did the US just supply a million f...   \n",
+       "22  Absolutely. Most successful countries address ...   \n",
+       "23  Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24  Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26  I only sneak out every 4 days or so for grocer...   \n",
+       "\n",
+       "                                             hashtags       user_id  \\\n",
+       "4                                                  []  2.639668e+08   \n",
+       "22           ['#coronavirus', '#covid__19', '#masks']  8.397868e+08   \n",
+       "23                                                 []  1.210424e+18   \n",
+       "24  ['#covid__19', '#mask', '#wearamask', '#hack',...  3.932328e+07   \n",
+       "26                                                 []  2.284107e+09   \n",
+       "\n",
+       "           username                name  \\\n",
+       "4    modernactivism     Modern Activism   \n",
+       "22   RealRandyCohen               ARJAY   \n",
+       "23  RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24     themamamaven  Nancy Johnson Horn   \n",
+       "26         NolandTt          Tom Noland   \n",
+       "\n",
+       "                                                 link  retweet  nlikes  \\\n",
+       "4   https://twitter.com/modernactivism/status/1256...    False     0.0   \n",
+       "22  https://twitter.com/RealRandyCohen/status/1256...    False     0.0   \n",
+       "23  https://twitter.com/RSRINIVASABABU1/status/125...    False     0.0   \n",
+       "24  https://twitter.com/themamamaven/status/125637...    False    10.0   \n",
+       "26  https://twitter.com/NolandTt/status/1256372709...    False     1.0   \n",
+       "\n",
+       "    nreplies  nretweets                                           reply_to  \n",
+       "4        0.0        0.0  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22       0.0        0.0  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23       0.0        0.0  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24       1.0        9.0  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26       0.0        0.0  [{'user_id': '2284107283', 'username': 'Noland...  "
       ]
      },
-     "execution_count": 286,
+     "execution_count": 209,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "tweets[901]"
+    "may1 = pd.read_csv('Datasets/5k_may_1_15_tweets.csv', index_col=0)\n",
+    "may1.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 287,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 210,
+   "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1261808631747657728</td>\n",
+       "      <td>1261808631747657728</td>\n",
+       "      <td>1589673595000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>Yes - but only for \"crooks who hide their face...</td>\n",
+       "      <td>['#facemasks', '#crime', '#masks', '#ccpvirus'...</td>\n",
+       "      <td>7.905461e+08</td>\n",
+       "      <td>AlanTonelson</td>\n",
+       "      <td>(((Alan Tonelson)))</td>\n",
+       "      <td>https://twitter.com/AlanTonelson/status/126180...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[{'user_id': '790546093', 'username': 'AlanTon...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1261808527766695941</td>\n",
+       "      <td>1261808527766695941</td>\n",
+       "      <td>1589673570000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>12 more deaths, 12 more hospitalizations. \\n\\n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.033256e+07</td>\n",
+       "      <td>deanbarker</td>\n",
+       "      <td>Dean Barker</td>\n",
+       "      <td>https://twitter.com/deanbarker/status/12618085...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '20332563', 'username': 'deanbark...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1261808522284748805</td>\n",
+       "      <td>1261808522284748805</td>\n",
+       "      <td>1589673569000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>After the fight with Corona Virus,the next fig...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.173606e+18</td>\n",
+       "      <td>gyaigyiimi</td>\n",
+       "      <td>Sb Orlando🇬🇭😊💉</td>\n",
+       "      <td>https://twitter.com/gyaigyiimi/status/12618085...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>[{'user_id': '1173605836725379074', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1261808482380058624</td>\n",
+       "      <td>1261808482380058624</td>\n",
+       "      <td>1589673560000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>rude of coronavirus to ruin mask fetishes for ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.229881e+18</td>\n",
+       "      <td>eliszabethmoss</td>\n",
+       "      <td>ms moss says viva la revolution</td>\n",
+       "      <td>https://twitter.com/eliszabethmoss/status/1261...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '1229881477518778369', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1261808398120747008</td>\n",
+       "      <td>1261808398120747008</td>\n",
+       "      <td>1589673540000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>Face Masks Fashion &amp; Health Care. \\n\\nNow I st...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5.594146e+08</td>\n",
+       "      <td>dawoodfarsi</td>\n",
+       "      <td>dawood al-farsi | داود الفارسي</td>\n",
+       "      <td>https://twitter.com/dawoodfarsi/status/1261808...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '559414580', 'username': 'dawoodf...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "'wear mask always wash hands soap guys'"
+       "                     id      conversation_id     created_at        date  \\\n",
+       "20  1261808631747657728  1261808631747657728  1589673595000  2020-05-16   \n",
+       "21  1261808527766695941  1261808527766695941  1589673570000  2020-05-16   \n",
+       "22  1261808522284748805  1261808522284748805  1589673569000  2020-05-16   \n",
+       "23  1261808482380058624  1261808482380058624  1589673560000  2020-05-16   \n",
+       "24  1261808398120747008  1261808398120747008  1589673540000  2020-05-16   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "20  Yes - but only for \"crooks who hide their face...   \n",
+       "21  12 more deaths, 12 more hospitalizations. \\n\\n...   \n",
+       "22  After the fight with Corona Virus,the next fig...   \n",
+       "23  rude of coronavirus to ruin mask fetishes for ...   \n",
+       "24  Face Masks Fashion & Health Care. \\n\\nNow I st...   \n",
+       "\n",
+       "                                             hashtags       user_id  \\\n",
+       "20  ['#facemasks', '#crime', '#masks', '#ccpvirus'...  7.905461e+08   \n",
+       "21                                                 []  2.033256e+07   \n",
+       "22                                                 []  1.173606e+18   \n",
+       "23                                                 []  1.229881e+18   \n",
+       "24                                                 []  5.594146e+08   \n",
+       "\n",
+       "          username                             name  \\\n",
+       "20    AlanTonelson              (((Alan Tonelson)))   \n",
+       "21      deanbarker                      Dean Barker   \n",
+       "22      gyaigyiimi                   Sb Orlando🇬🇭😊💉   \n",
+       "23  eliszabethmoss  ms moss says viva la revolution   \n",
+       "24     dawoodfarsi   dawood al-farsi | داود الفارسي   \n",
+       "\n",
+       "                                                 link  retweet  nlikes  \\\n",
+       "20  https://twitter.com/AlanTonelson/status/126180...    False     0.0   \n",
+       "21  https://twitter.com/deanbarker/status/12618085...    False     2.0   \n",
+       "22  https://twitter.com/gyaigyiimi/status/12618085...    False    43.0   \n",
+       "23  https://twitter.com/eliszabethmoss/status/1261...    False     2.0   \n",
+       "24  https://twitter.com/dawoodfarsi/status/1261808...    False     1.0   \n",
+       "\n",
+       "    nreplies  nretweets                                           reply_to  \n",
+       "20       0.0        1.0  [{'user_id': '790546093', 'username': 'AlanTon...  \n",
+       "21       0.0        0.0  [{'user_id': '20332563', 'username': 'deanbark...  \n",
+       "22       1.0       10.0  [{'user_id': '1173605836725379074', 'username'...  \n",
+       "23       0.0        0.0  [{'user_id': '1229881477518778369', 'username'...  \n",
+       "24       1.0        0.0  [{'user_id': '559414580', 'username': 'dawoodf...  "
       ]
      },
-     "execution_count": 287,
+     "execution_count": 210,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "clean_text(tweets[901])"
+    "may2 = pd.read_csv('Datasets/5k_may_16_31_tweets.csv', index_col=0)\n",
+    "may2.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 211,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ \n",
-      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask & it stays on until 1 returns home. That provides maximum protection 4 every1. If #COVID__19 is a pandemic it should be addressed with maximum protection 4 all. #Masks\n",
-      "{'neg': 0.0, 'neu': 0.908, 'pos': 0.092, 'compound': 0.6566}\n",
-      "Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-transgenders-sew-and-distribute-masks-in-slum-area-amid-covid-19-spread/videoshow/75494786.cms …\n",
-      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM\n",
-      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's getting antsy - but understands that COVID is a death sentence for her.\n",
-      "{'neg': 0.163, 'neu': 0.761, 'pos': 0.076, 'compound': -0.7482}\n"
+      "(75000, 15)\n",
+      "(80000, 15)\n"
      ]
     }
    ],
    "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "# test_5k['sentiment'] = test_5k['tweet'].apply(lambda x: analyzer.polarity_scores(x))\n",
-    "\n",
-    "for tweet in tweets[:5]:\n",
-    "    vs = analyzer.polarity_scores(tweet)\n",
-    "    print(tweet)\n",
-    "    print(f\"{str(vs)}\")"
+    "print(may1.shape)\n",
+    "print(may2.shape)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 212,
+   "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "pos = TextBlob(tweets[2])\n",
-    "print(pos.tags)"
+     "data": {
+      "text/plain": [
+       "(155000, 15)"
+      ]
+     },
+     "execution_count": 212,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may = pd.concat([may1, may2])\n",
+    "may.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 214,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "may.to_csv('Datasets/5k_may_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Loading csvs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
+    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
+    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
+    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
+    "months = [jan, feb, mar, apr, may]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "('masks', 'NNS')\n"
-     ]
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 234,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "for tag in pos.tags:\n",
-    "    if 'mask' in tag[0]:\n",
-    "        print(tag)"
+    "df = pd.concat(months)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Obtaining target variable"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 235,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    df.sentiment_score > .05,\n",
+    "    df.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 237,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
-      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
-      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
-      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
-      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+      "(575949, 19)\n",
+      "             id  conversation_id    created_at        date  \\\n",
+      "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+      "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+      "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+      "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+      "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+      "\n",
+      "                                                                                                                                                   tweet  \\\n",
+      "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+      "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+      "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+      "3                                                                                                            Thought death masks gave you the horn freak   \n",
+      "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
+      "\n",
+      "                                  hashtags       user_id        username  \\\n",
+      "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+      "1                                       []  1.044739e+18       lumora_lu   \n",
+      "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+      "3                                       []  2.819219e+09      Hevysmoker   \n",
+      "4                                       []  2.361956e+08        FaithR8s   \n",
+      "\n",
+      "                  name  \\\n",
+      "0               MLTSHP   \n",
+      "1                 MiLu   \n",
+      "2             odiecher   \n",
+      "3       Ashley Collins   \n",
+      "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+      "\n",
+      "                                                            link  retweet  \\\n",
+      "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+      "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+      "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+      "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+      "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+      "\n",
+      "   nlikes  nreplies  nretweets  \\\n",
+      "0     1.0       0.0        1.0   \n",
+      "1     0.0       0.0        0.0   \n",
+      "2     1.0       1.0        1.0   \n",
+      "3     0.0       0.0        0.0   \n",
+      "4     1.0       0.0        1.0   \n",
+      "\n",
+      "                                                    quote_url  retweet_id  \\\n",
+      "0                                                         NaN         NaN   \n",
+      "1                                                         NaN         NaN   \n",
+      "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+      "3                                                         NaN         NaN   \n",
+      "4                                                         NaN         NaN   \n",
+      "\n",
+      "                                                                                                                                                reply_to  \\\n",
+      "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+      "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+      "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+      "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+      "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
+      "\n",
+      "   sentiment_score sentiment  \n",
+      "0          -0.8176  negative  \n",
+      "1          -0.8905  negative  \n",
+      "2           0.6705  positive  \n",
+      "3          -0.7783  negative  \n",
+      "4          -0.2960  negative  \n"
      ]
     }
    ],
    "source": [
-    "for tweet in tweets[5:10]:\n",
-    "    pos = TextBlob(tweet)\n",
-    "    print(pos.tags)"
+    "print(df.shape)\n",
+    "print(df.head())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 238,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 10)"
-      ]
-     },
-     "execution_count": 128,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "masks.shape"
+    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 240,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
      ]
     },
     {
@@ -1209,267 +1281,445 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
        "      <th>date</th>\n",
-       "      <th>username</th>\n",
        "      <th>tweet</th>\n",
        "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
        "      <th>nlikes</th>\n",
        "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
        "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "      <th>pos</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>sentiment_score</th>\n",
+       "      <th>sentiment</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
        "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "      <td>NN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
+       "      <td>-0.8176</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "      <td>NN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
+       "      <td>-0.8905</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>VB</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
+       "      <td>0.6705</td>\n",
+       "      <td>positive</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
        "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
+       "      <td>-0.7783</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "      <td>VB</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
+       "      <td>-0.2960</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
        "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
        "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
        "\n",
-       "   subjectivity pos  \n",
-       "0      0.288889  NN  \n",
-       "1      0.425000  NN  \n",
-       "2      0.000000  VB  \n",
-       "3      0.000000  NN  \n",
-       "4      0.648409  VB  "
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  retweet  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+       "\n",
+       "   nlikes  nreplies  nretweets  \\\n",
+       "0     1.0       0.0        1.0   \n",
+       "1     0.0       0.0        0.0   \n",
+       "2     1.0       1.0        1.0   \n",
+       "3     0.0       0.0        0.0   \n",
+       "4     1.0       0.0        1.0   \n",
+       "\n",
+       "                                                    quote_url  retweet_id  \\\n",
+       "0                                                         NaN         NaN   \n",
+       "1                                                         NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+       "3                                                         NaN         NaN   \n",
+       "4                                                         NaN         NaN   \n",
+       "\n",
+       "                                                                                                                                                reply_to  \\\n",
+       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
+       "\n",
+       "   sentiment_score sentiment  \n",
+       "0          -0.8176  negative  \n",
+       "1          -0.8905  negative  \n",
+       "2           0.6705  positive  \n",
+       "3          -0.7783  negative  \n",
+       "4          -0.2960  negative  "
       ]
      },
-     "execution_count": 130,
+     "execution_count": 240,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
-    "masks.head()"
+    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
+    "df.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 241,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "NN     0.541166\n",
-       "NNS    0.384220\n",
-       "JJ     0.027616\n",
-       "VB     0.022642\n",
-       "VBZ    0.007547\n",
-       "VBP    0.004974\n",
-       "VBN    0.003602\n",
-       "VBD    0.002916\n",
-       "NNP    0.001715\n",
-       "SYM    0.000858\n",
-       "VBG    0.000686\n",
-       "FW     0.000686\n",
-       "RB     0.000515\n",
-       "PRP    0.000343\n",
-       "IN     0.000343\n",
-       "JJR    0.000172\n",
-       "Name: pos, dtype: float64"
+       "(575949, 19)"
       ]
      },
-     "execution_count": 133,
+     "execution_count": 241,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks.pos.value_counts(normalize=True)"
+    "df.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 231,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1. Get a wrist brace for the carpal tunnel\n",
-      "2. Take a pill for the prostate\n",
-      "3. Get breathe rite strips\n",
-      "4. Get wife apnea mask\n",
-      "5. Take cover until november than vote the orange man out.\n",
-      "Lil bruh said fuck it mask off\n",
-      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "\"fuck it, mask off\"\n",
-      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
-      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
-      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
-      "\n",
-      "Don't spread fake news, thanks. \n",
-      "People is already scared...\n",
-      "Pop smoke dior\n",
-      "Drake war\n",
-      "Futur mask off\n",
-      "fuck it mask off\n",
-      "Fuck it mask off\n",
-      "They really just said \"fuck it mask off\"\n",
-      "Only fck wit rich niggas fck it mask off\n",
-      "Mask on 😷😷\n",
-      "Fuck it mask off 😶😶 type shit\n",
-      "Never gonna stop, give it up, such dirty hands\n",
-      "I always mask it up, for the touch of the dumber kind\n",
-      "My, my, my, aye-aye, whoa!\n",
-      "M-m-m-my carona\n",
-      "fuck it mask off\n",
-      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
-      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
-    "    print(tweet)"
-   ]
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 288,
+   "execution_count": 217,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.639668e+08</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256720837660545024</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'modernactivism'}, {'user_id': '15012486', 'username': 'CBSNews'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask &amp; it stays on until 1 returns home. T...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>8.397868e+08</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256372751314685953</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRandyCohen'}, {'user_id': '53158947', 'username': 'MzDivah67'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.210424e+18</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/1256372749720645632</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username': 'RSRINIVASABABU1'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack', '#coronavirus']</td>\n",
+       "      <td>3.932328e+07</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/1256372718452248576</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamamaven'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's get...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.284107e+09</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709660884992</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'NolandTt'}, {'user_id': '371051661', 'username': 'MargaretSchoenf'}, {'user_id': '14247236', 'username': '...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "0      spongebob slides sand mountain tree oxygen mask\n",
-       "1    started freshly washed bed sheets face mask be...\n",
-       "2    using coverage yellow card mask fact team lost...\n",
-       "3                                                 mask\n",
-       "4    know mean depressed mask pain let others happy...\n",
-       "5    daughter sick nasty cough weeks ignores advice...\n",
-       "6    grinningcatface pencil aside butt masks yes ex...\n",
-       "7    energy something else post pics generic lookin...\n",
-       "8                      kind mask much one different us\n",
-       "9    market moved given detox scalp mask since prom...\n",
-       "Name: clean_tweet, dtype: object"
+       "                     id      conversation_id     created_at        date  \\\n",
+       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "\n",
+       "                                                                                                                                                    tweet  \\\n",
+       "4                                                   Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ    \n",
+       "22  Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask & it stays on until 1 returns home. T...   \n",
+       "23  Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-...   \n",
+       "24                                                                Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM   \n",
+       "26  I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's get...   \n",
+       "\n",
+       "                                                          hashtags  \\\n",
+       "4                                                               []   \n",
+       "22                        ['#coronavirus', '#covid__19', '#masks']   \n",
+       "23                                                              []   \n",
+       "24  ['#covid__19', '#mask', '#wearamask', '#hack', '#coronavirus']   \n",
+       "26                                                              []   \n",
+       "\n",
+       "         user_id         username                name  \\\n",
+       "4   2.639668e+08   modernactivism     Modern Activism   \n",
+       "22  8.397868e+08   RealRandyCohen               ARJAY   \n",
+       "23  1.210424e+18  RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24  3.932328e+07     themamamaven  Nancy Johnson Horn   \n",
+       "26  2.284107e+09         NolandTt          Tom Noland   \n",
+       "\n",
+       "                                                              link  retweet  \\\n",
+       "4    https://twitter.com/modernactivism/status/1256720837660545024    False   \n",
+       "22   https://twitter.com/RealRandyCohen/status/1256372751314685953    False   \n",
+       "23  https://twitter.com/RSRINIVASABABU1/status/1256372749720645632    False   \n",
+       "24     https://twitter.com/themamamaven/status/1256372718452248576    False   \n",
+       "26         https://twitter.com/NolandTt/status/1256372709660884992    False   \n",
+       "\n",
+       "    nlikes  nreplies  nretweets  \\\n",
+       "4      0.0       0.0        0.0   \n",
+       "22     0.0       0.0        0.0   \n",
+       "23     0.0       0.0        0.0   \n",
+       "24    10.0       1.0        9.0   \n",
+       "26     1.0       0.0        0.0   \n",
+       "\n",
+       "                                                                                                                                                 reply_to  \n",
+       "4                                                [{'user_id': '263966773', 'username': 'modernactivism'}, {'user_id': '15012486', 'username': 'CBSNews'}]  \n",
+       "22                                             [{'user_id': '839786785', 'username': 'RealRandyCohen'}, {'user_id': '53158947', 'username': 'MzDivah67'}]  \n",
+       "23                                                                                    [{'user_id': '1210423564052004865', 'username': 'RSRINIVASABABU1'}]  \n",
+       "24                                                                                                  [{'user_id': '39323281', 'username': 'themamamaven'}]  \n",
+       "26  [{'user_id': '2284107283', 'username': 'NolandTt'}, {'user_id': '371051661', 'username': 'MargaretSchoenf'}, {'user_id': '14247236', 'username': '...  "
       ]
      },
-     "execution_count": 288,
+     "execution_count": 217,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
-    "masks_cleaned = masks['clean_tweet']\n",
-    "masks_cleaned.head(10)"
+    "may.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 290,
+   "execution_count": 221,
    "metadata": {},
    "outputs": [
     {
@@ -1493,476 +1743,217 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>a1</th>\n",
-       "      <th>a7</th>\n",
-       "      <th>a8</th>\n",
-       "      <th>aa</th>\n",
-       "      <th>aaaaaaand</th>\n",
-       "      <th>aaaandhe</th>\n",
-       "      <th>aaah</th>\n",
-       "      <th>aama</th>\n",
-       "      <th>aap</th>\n",
-       "      <th>aarons</th>\n",
-       "      <th>...</th>\n",
-       "      <th>zoro</th>\n",
-       "      <th>zorro</th>\n",
-       "      <th>zosakonc</th>\n",
-       "      <th>zpacks</th>\n",
-       "      <th>zsasz</th>\n",
-       "      <th>zthickness</th>\n",
-       "      <th>zuckerberg</th>\n",
-       "      <th>zuko</th>\n",
-       "      <th>zurich</th>\n",
-       "      <th>zvanetsa</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>count</th>\n",
+       "      <td>155000.000000</td>\n",
+       "      <td>155000.000000</td>\n",
+       "      <td>155000.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>mean</th>\n",
+       "      <td>14.591948</td>\n",
+       "      <td>1.282916</td>\n",
+       "      <td>4.496426</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>std</th>\n",
+       "      <td>1108.467257</td>\n",
+       "      <td>33.923692</td>\n",
+       "      <td>338.266606</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>349204.000000</td>\n",
+       "      <td>7955.000000</td>\n",
+       "      <td>121056.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 15034 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
-       "0   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
-       "1   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
-       "2   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
-       "3   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
-       "4   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
-       "\n",
-       "   zorro  zosakonc  zpacks  zsasz  zthickness  zuckerberg  zuko  zurich  \\\n",
-       "0      0         0       0      0           0           0     0       0   \n",
-       "1      0         0       0      0           0           0     0       0   \n",
-       "2      0         0       0      0           0           0     0       0   \n",
-       "3      0         0       0      0           0           0     0       0   \n",
-       "4      0         0       0      0           0           0     0       0   \n",
-       "\n",
-       "   zvanetsa  \n",
-       "0         0  \n",
-       "1         0  \n",
-       "2         0  \n",
-       "3         0  \n",
-       "4         0  \n",
-       "\n",
-       "[5 rows x 15034 columns]"
+       "              nlikes       nreplies      nretweets\n",
+       "count  155000.000000  155000.000000  155000.000000\n",
+       "mean       14.591948       1.282916       4.496426\n",
+       "std      1108.467257      33.923692     338.266606\n",
+       "min         0.000000       0.000000       0.000000\n",
+       "25%         0.000000       0.000000       0.000000\n",
+       "50%         0.000000       0.000000       0.000000\n",
+       "75%         2.000000       1.000000       0.000000\n",
+       "max    349204.000000    7955.000000  121056.000000"
       ]
      },
-     "execution_count": 290,
+     "execution_count": 221,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks_cleaned)\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
+    "may[['nlikes','nreplies','nretweets']].describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 292,
+   "execution_count": 51,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ \n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask & it stays on until 1 returns home. That provides maximum protection 4 every1. If #COVID__19 is a pandemic it should be addressed with maximum protection 4 all. #Masks\n",
+      "{'neg': 0.0, 'neu': 0.908, 'pos': 0.092, 'compound': 0.6566}\n",
+      "Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-transgenders-sew-and-distribute-masks-in-slum-area-amid-covid-19-spread/videoshow/75494786.cms …\n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM\n",
+      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
+      "I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's getting antsy - but understands that COVID is a death sentence for her.\n",
+      "{'neg': 0.163, 'neu': 0.761, 'pos': 0.076, 'compound': -0.7482}\n"
+     ]
+    }
+   ],
    "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
     "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
     "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "# test_5k['sentiment'] = test_5k['tweet'].apply(lambda x: analyzer.polarity_scores(x))\n",
     "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+    "for tweet in tweets[:5]:\n",
+    "    vs = analyzer.polarity_scores(tweet)\n",
+    "    print(tweet)\n",
+    "    print(f\"{str(vs)}\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 294,
-   "metadata": {},
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "[(0,\n",
-       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
-       " (1,\n",
-       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
-       " (2,\n",
-       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
-       " (3,\n",
-       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
-       " (4,\n",
-       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
-      ]
-     },
-     "execution_count": 294,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
     }
    ],
    "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 122,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "(52473, 17)"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
     }
    ],
    "source": [
-    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
-    "test.shape"
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 115,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "date        date      \n",
-       "2020-05-01  2020-05-01    10017\n",
-       "2020-05-02  2020-05-02    12871\n",
-       "2020-05-03  2020-05-03     9557\n",
-       "2020-05-04  2020-05-04    10019\n",
-       "Name: date, dtype: int64"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test.date.groupby(test.date).value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'2020-05-02'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test.date[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dtype('int64')"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test.index.dtype"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "Lengths must match to compare",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-9-a72467af13ba>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'2020-05-02'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/common.py\u001b[0m in \u001b[0;36mnew_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m     62\u001b[0m         \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/__init__.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    527\u001b[0m         \u001b[0mrvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    528\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 529\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomparison_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    530\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    531\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_construct_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomparison_op\u001b[0;34m(left, right, op)\u001b[0m\n\u001b[1;32m    232\u001b[0m         \u001b[0;31m#  The ambiguous case is object-dtype.  See GH#27803\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    233\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 234\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Lengths must match to compare\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mshould_extension_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: Lengths must match to compare"
-     ]
-    }
-   ],
-   "source": [
-    "test.drop(columns=test['date'] == ['2020-05-02'], axis=0)\n",
-    "test.date.unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'DataFrameGroupBy' object has no attribute 'iloc'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-30-20f88ef36df4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'tweet'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrameGroupBy' object has no attribute 'iloc'"
-     ]
-    }
-   ],
-   "source": [
-    "test[test['tweet'].str.contains(filt)].groupby('date').iloc[:5000,:].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "filt = filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'DataFrameGroupBy' object has no attribute 'value_counts'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-13-8a495e175fa0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'covid|corona|covid19|coronavirus'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrameGroupBy' object has no attribute 'value_counts'"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
      ]
     }
    ],
    "source": [
-    "test[test.tweet.str.contains(filt)].groupby('date').value_counts()\n",
-    "                                                                         \n",
-    "                                                                         \n",
-    "                                                                         \n",
-    "                                                                         "
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 128,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(31546, 17)"
+       "(6480, 10)"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 128,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_5k = test[test.tweet.str.contains(filt)].groupby('date').head(6400)\n",
-    "test_5k.shape"
+    "masks.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 130,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "date\n",
-       "2020-05-01    6118\n",
-       "2020-05-02    6400\n",
-       "2020-05-03    6283\n",
-       "2020-05-04    6366\n",
-       "2020-05-05    6379\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_5k.groupby('date')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -1984,89 +1975,641 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
        "      <th>date</th>\n",
+       "      <th>username</th>\n",
        "      <th>tweet</th>\n",
        "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
        "      <th>nlikes</th>\n",
        "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
        "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "      <th>pos</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1256720837660545024</td>\n",
-       "      <td>1256715090545512449</td>\n",
-       "      <td>1588460571000</td>\n",
-       "      <td>2020-05-02</td>\n",
-       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>263966773</td>\n",
-       "      <td>modernactivism</td>\n",
-       "      <td>Modern Activism</td>\n",
-       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>4</td>\n",
        "      <td>0</td>\n",
+       "      <td>False</td>\n",
        "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "      <td>NN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1256372751314685953</td>\n",
-       "      <td>1256015002651299847</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Absolutely. Most successful countries address ...</td>\n",
-       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
-       "      <td>839786785</td>\n",
-       "      <td>RealRandyCohen</td>\n",
-       "      <td>ARJAY</td>\n",
-       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
        "      <td>False</td>\n",
        "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>False</td>\n",
        "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>VB</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
        "      <td>[]</td>\n",
-       "      <td>1210423564052004865</td>\n",
-       "      <td>RSRINIVASABABU1</td>\n",
-       "      <td>R SRINIVASA BABU</td>\n",
-       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
        "      <td>False</td>\n",
        "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
+       "      <td>False</td>\n",
        "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "      <td>VB</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity pos  \n",
+       "0      0.288889  NN  \n",
+       "1      0.425000  NN  \n",
+       "2      0.000000  VB  \n",
+       "3      0.000000  NN  \n",
+       "4      0.648409  VB  "
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "NN     0.541166\n",
+       "NNS    0.384220\n",
+       "JJ     0.027616\n",
+       "VB     0.022642\n",
+       "VBZ    0.007547\n",
+       "VBP    0.004974\n",
+       "VBN    0.003602\n",
+       "VBD    0.002916\n",
+       "NNP    0.001715\n",
+       "SYM    0.000858\n",
+       "VBG    0.000686\n",
+       "FW     0.000686\n",
+       "RB     0.000515\n",
+       "PRP    0.000343\n",
+       "IN     0.000343\n",
+       "JJR    0.000172\n",
+       "Name: pos, dtype: float64"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.pos.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 231,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1. Get a wrist brace for the carpal tunnel\n",
+      "2. Take a pill for the prostate\n",
+      "3. Get breathe rite strips\n",
+      "4. Get wife apnea mask\n",
+      "5. Take cover until november than vote the orange man out.\n",
+      "Lil bruh said fuck it mask off\n",
+      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "\"fuck it, mask off\"\n",
+      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
+      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
+      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
+      "\n",
+      "Don't spread fake news, thanks. \n",
+      "People is already scared...\n",
+      "Pop smoke dior\n",
+      "Drake war\n",
+      "Futur mask off\n",
+      "fuck it mask off\n",
+      "Fuck it mask off\n",
+      "They really just said \"fuck it mask off\"\n",
+      "Only fck wit rich niggas fck it mask off\n",
+      "Mask on 😷😷\n",
+      "Fuck it mask off 😶😶 type shit\n",
+      "Never gonna stop, give it up, such dirty hands\n",
+      "I always mask it up, for the touch of the dumber kind\n",
+      "My, my, my, aye-aye, whoa!\n",
+      "M-m-m-my carona\n",
+      "fuck it mask off\n",
+      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
+      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 288,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0      spongebob slides sand mountain tree oxygen mask\n",
+       "1    started freshly washed bed sheets face mask be...\n",
+       "2    using coverage yellow card mask fact team lost...\n",
+       "3                                                 mask\n",
+       "4    know mean depressed mask pain let others happy...\n",
+       "5    daughter sick nasty cough weeks ignores advice...\n",
+       "6    grinningcatface pencil aside butt masks yes ex...\n",
+       "7    energy something else post pics generic lookin...\n",
+       "8                      kind mask much one different us\n",
+       "9    market moved given detox scalp mask since prom...\n",
+       "Name: clean_tweet, dtype: object"
+      ]
+     },
+     "execution_count": 288,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
+    "masks_cleaned = masks['clean_tweet']\n",
+    "masks_cleaned.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 290,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 15034 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
+       "0   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "1   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "2   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "3   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "4   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "\n",
+       "   zorro  zosakonc  zpacks  zsasz  zthickness  zuckerberg  zuko  zurich  \\\n",
+       "0      0         0       0      0           0           0     0       0   \n",
+       "1      0         0       0      0           0           0     0       0   \n",
+       "2      0         0       0      0           0           0     0       0   \n",
+       "3      0         0       0      0           0           0     0       0   \n",
+       "4      0         0       0      0           0           0     0       0   \n",
+       "\n",
+       "   zvanetsa  \n",
+       "0         0  \n",
+       "1         0  \n",
+       "2         0  \n",
+       "3         0  \n",
+       "4         0  \n",
+       "\n",
+       "[5 rows x 15034 columns]"
+      ]
+     },
+     "execution_count": 290,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks_cleaned)\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 292,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 294,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
+       " (1,\n",
+       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
+       " (2,\n",
+       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
+       " (3,\n",
+       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
+       " (4,\n",
+       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
+      ]
+     },
+     "execution_count": 294,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>263966773</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>839786785</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1210423564052004865</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
        "      <td>1256372718452248576</td>\n",
        "      <td>1588377573000</td>\n",
        "      <td>2020-05-01</td>\n",
@@ -2077,381 +2620,715 @@
        "      <td>Nancy Johnson Horn</td>\n",
        "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
        "      <td>False</td>\n",
-       "      <td>10</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2284107283</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>50377</th>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1588690216000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
+       "      <td>['#coronavirus']</td>\n",
+       "      <td>43413162</td>\n",
+       "      <td>ThirstiesInc</td>\n",
+       "      <td>Thirsties Inc</td>\n",
+       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
+       "      <td>False</td>\n",
        "      <td>1</td>\n",
-       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50379</th>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1588690206000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>As President Trump attempts to project an imag...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>14915067</td>\n",
+       "      <td>witfnews</td>\n",
+       "      <td>WITF news</td>\n",
+       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50381</th>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1588690203000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
+       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
+       "      <td>218949823</td>\n",
+       "      <td>Hellacort</td>\n",
+       "      <td>David Hilycord</td>\n",
+       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50382</th>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1588690198000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>146037421</td>\n",
+       "      <td>briandordevic</td>\n",
+       "      <td>Brian Dordevic 📲📷📈</td>\n",
+       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50383</th>\n",
+       "      <td>1257683935116627968</td>\n",
+       "      <td>1257619031588319234</td>\n",
+       "      <td>1588690191000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>757353589966827522</td>\n",
+       "      <td>HRH_LUCY_NL</td>\n",
+       "      <td>HRH Princess Lucy</td>\n",
+       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>25000 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id      conversation_id     created_at        date  \\\n",
+       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "...                    ...                  ...            ...         ...   \n",
+       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
+       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
+       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
+       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
+       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
+       "\n",
+       "                                                   tweet  \\\n",
+       "4      Coronavirus-Did the US just supply a million f...   \n",
+       "22     Absolutely. Most successful countries address ...   \n",
+       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26     I only sneak out every 4 days or so for grocer...   \n",
+       "...                                                  ...   \n",
+       "50377  \"Clutches have been awesome during #coronaviru...   \n",
+       "50379  As President Trump attempts to project an imag...   \n",
+       "50381  Coronavirus, face masks and America's new faul...   \n",
+       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
+       "50383  @Koning_NL It appears, still the only people w...   \n",
+       "\n",
+       "                                                hashtags              user_id  \\\n",
+       "4                                                     []            263966773   \n",
+       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
+       "23                                                    []  1210423564052004865   \n",
+       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
+       "26                                                    []           2284107283   \n",
+       "...                                                  ...                  ...   \n",
+       "50377                                   ['#coronavirus']             43413162   \n",
+       "50379                                                 []             14915067   \n",
+       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
+       "50382                                                 []            146037421   \n",
+       "50383                                                 []   757353589966827522   \n",
+       "\n",
+       "              username                name  \\\n",
+       "4       modernactivism     Modern Activism   \n",
+       "22      RealRandyCohen               ARJAY   \n",
+       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24        themamamaven  Nancy Johnson Horn   \n",
+       "26            NolandTt          Tom Noland   \n",
+       "...                ...                 ...   \n",
+       "50377     ThirstiesInc       Thirsties Inc   \n",
+       "50379         witfnews           WITF news   \n",
+       "50381        Hellacort      David Hilycord   \n",
+       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
+       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
+       "\n",
+       "                                                    link  retweet  nlikes  \\\n",
+       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
+       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
+       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
+       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
+       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
+       "...                                                  ...      ...     ...   \n",
+       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
+       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
+       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
+       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
+       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
+       "\n",
+       "       nreplies  nretweets                                          quote_url  \\\n",
+       "4             0          0                                                NaN   \n",
+       "22            0          0                                                NaN   \n",
+       "23            0          0                                                NaN   \n",
+       "24            1          9                                                NaN   \n",
+       "26            0          0                                                NaN   \n",
+       "...         ...        ...                                                ...   \n",
+       "50377         0          0                                                NaN   \n",
+       "50379         0          0                                                NaN   \n",
+       "50381         1          8                                                NaN   \n",
+       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
+       "50383         0          0                                                NaN   \n",
+       "\n",
+       "       retweet_id                                           reply_to  \n",
+       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
+       "...           ...                                                ...  \n",
+       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
+       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
+       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
+       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
+       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
+       "\n",
+       "[25000 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
+     ]
+    }
+   ],
+   "source": [
+    "test.groupby('date').tweet.str.contains('corona').value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
+      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
+      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
+      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
+      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
+      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
+      "Now that there is an ease on Lagos lockdown.\n",
+      "\n",
+      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
+      "\n",
+      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
+      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
+      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
+      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
+      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
+      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
+      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
+      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
+      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
+      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
+      "\n",
+      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
+      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
+      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
+      "\n",
+      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
+      "God the inside of the eye looks like a fuckin rubber mask\n",
+      "mask: on\n",
+      "me: horny \n",
+      "@breanna_gar i’m GEEEEKING rn 😂\n",
+      "Talk about the face mask 😹😹😹\n",
+      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
+      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
+      "\n",
+      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
+      "\n",
+      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
+      "@MayorBowser @GovernorVA\n",
+      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
+      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
+      "oh well lol no mask here either .. ever... \n",
+      "\n",
+      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
+      "Grateful that my neighborhood smells really really good even through a mask\n",
+      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
+      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
+      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
+      "NOW they care? Typical Republican behavior:\n",
+      "Against govnt assistance, until they lose their job.\n",
+      "Against federal aid, until that hurricane hits.\n",
+      "Against womens' right to choose, until someone makes them wear a mask.\n",
+      "#VoteBlueToCleanUpThisCrapAgain\n",
+      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
+      "\n",
+      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
+      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
+      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
+      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
+      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
+      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
+      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
+      "I am just glad the mask covers up her but ugly face.\n",
+      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
+      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
+      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
+      "When will it sink in? This is deadly serious.\n",
+      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
+      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
+      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
+      "Another fake video? Nobody is wearing face mask thou🤔\n",
+      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
+      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
+      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
+      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
+      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in test.tweet[50:100]:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
        "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
        "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
-       "      <td>1588377570000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>2284107283</td>\n",
-       "      <td>NolandTt</td>\n",
-       "      <td>Tom Noland</td>\n",
-       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50377</th>\n",
-       "      <td>1257684042209800193</td>\n",
-       "      <td>1257684042209800193</td>\n",
-       "      <td>1588690216000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
-       "      <td>['#coronavirus']</td>\n",
-       "      <td>43413162</td>\n",
-       "      <td>ThirstiesInc</td>\n",
-       "      <td>Thirsties Inc</td>\n",
-       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
        "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50379</th>\n",
-       "      <td>1257683998983282689</td>\n",
-       "      <td>1257683998983282689</td>\n",
-       "      <td>1588690206000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>As President Trump attempts to project an imag...</td>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>14915067</td>\n",
-       "      <td>witfnews</td>\n",
-       "      <td>WITF news</td>\n",
-       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50381</th>\n",
-       "      <td>1257683985439821825</td>\n",
-       "      <td>1257683985439821825</td>\n",
-       "      <td>1588690203000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
-       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
-       "      <td>218949823</td>\n",
-       "      <td>Hellacort</td>\n",
-       "      <td>David Hilycord</td>\n",
-       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
        "      <td>False</td>\n",
-       "      <td>11</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50382</th>\n",
-       "      <td>1257683964254466049</td>\n",
-       "      <td>1257683964254466049</td>\n",
-       "      <td>1588690198000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
        "      <td>[]</td>\n",
-       "      <td>146037421</td>\n",
-       "      <td>briandordevic</td>\n",
-       "      <td>Brian Dordevic 📲📷📈</td>\n",
-       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
        "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50383</th>\n",
-       "      <td>1257683935116627968</td>\n",
-       "      <td>1257619031588319234</td>\n",
-       "      <td>1588690191000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>757353589966827522</td>\n",
-       "      <td>HRH_LUCY_NL</td>\n",
-       "      <td>HRH Princess Lucy</td>\n",
-       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>25000 rows × 17 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                        id      conversation_id     created_at        date  \\\n",
-       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "...                    ...                  ...            ...         ...   \n",
-       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
-       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
-       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
-       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
-       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
-       "\n",
-       "                                                   tweet  \\\n",
-       "4      Coronavirus-Did the US just supply a million f...   \n",
-       "22     Absolutely. Most successful countries address ...   \n",
-       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
-       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
-       "26     I only sneak out every 4 days or so for grocer...   \n",
-       "...                                                  ...   \n",
-       "50377  \"Clutches have been awesome during #coronaviru...   \n",
-       "50379  As President Trump attempts to project an imag...   \n",
-       "50381  Coronavirus, face masks and America's new faul...   \n",
-       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
-       "50383  @Koning_NL It appears, still the only people w...   \n",
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
        "\n",
-       "                                                hashtags              user_id  \\\n",
-       "4                                                     []            263966773   \n",
-       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
-       "23                                                    []  1210423564052004865   \n",
-       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
-       "26                                                    []           2284107283   \n",
-       "...                                                  ...                  ...   \n",
-       "50377                                   ['#coronavirus']             43413162   \n",
-       "50379                                                 []             14915067   \n",
-       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
-       "50382                                                 []            146037421   \n",
-       "50383                                                 []   757353589966827522   \n",
+       "                                               tweet  \\\n",
+       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
+       "1  Ready to heard this? Homemade hair treatment a...   \n",
+       "2  We all know what a joke #CCPChina is when it c...   \n",
+       "3        Thought death masks gave you the horn freak   \n",
+       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
        "\n",
-       "              username                name  \\\n",
-       "4       modernactivism     Modern Activism   \n",
-       "22      RealRandyCohen               ARJAY   \n",
-       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24        themamamaven  Nancy Johnson Horn   \n",
-       "26            NolandTt          Tom Noland   \n",
-       "...                ...                 ...   \n",
-       "50377     ThirstiesInc       Thirsties Inc   \n",
-       "50379         witfnews           WITF news   \n",
-       "50381        Hellacort      David Hilycord   \n",
-       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
-       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
        "\n",
-       "                                                    link  retweet  nlikes  \\\n",
-       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
-       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
-       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
-       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
-       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
-       "...                                                  ...      ...     ...   \n",
-       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
-       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
-       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
-       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
-       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
+       "                  name                                               link  \\\n",
+       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
+       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
+       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
+       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
        "\n",
-       "       nreplies  nretweets                                          quote_url  \\\n",
-       "4             0          0                                                NaN   \n",
-       "22            0          0                                                NaN   \n",
-       "23            0          0                                                NaN   \n",
-       "24            1          9                                                NaN   \n",
-       "26            0          0                                                NaN   \n",
-       "...         ...        ...                                                ...   \n",
-       "50377         0          0                                                NaN   \n",
-       "50379         0          0                                                NaN   \n",
-       "50381         1          8                                                NaN   \n",
-       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
-       "50383         0          0                                                NaN   \n",
+       "   retweet  nlikes  nreplies  nretweets  \\\n",
+       "0    False     1.0       0.0        1.0   \n",
+       "1    False     0.0       0.0        0.0   \n",
+       "2    False     1.0       1.0        1.0   \n",
+       "3    False     0.0       0.0        0.0   \n",
+       "4    False     1.0       0.0        1.0   \n",
        "\n",
-       "       retweet_id                                           reply_to  \n",
-       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
-       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
-       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
-       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
-       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
-       "...           ...                                                ...  \n",
-       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
-       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
-       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
-       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
-       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
+       "                                           quote_url  retweet_id  \\\n",
+       "0                                                NaN         NaN   \n",
+       "1                                                NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
+       "3                                                NaN         NaN   \n",
+       "4                                                NaN         NaN   \n",
        "\n",
-       "[25000 rows x 17 columns]"
+       "                                            reply_to  \n",
+       "0  [{'user_id': '843195118924546048', 'username':...  \n",
+       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
+       "2  [{'user_id': '963032516759207936', 'username':...  \n",
+       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
       ]
      },
-     "execution_count": 32,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_5k"
+    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]['compound']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.000757438644754942"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    masks.sentiment_score > .05,\n",
+    "    masks.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
-     "ename": "AttributeError",
-     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
-     ]
+     "data": {
+      "text/plain": [
+       "negative    17100\n",
+       "positive    16882\n",
+       "neutral      7457\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "test.groupby('date').tweet.str.contains('corona').value_counts()"
+    "masks.sentiment.value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
-      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
-      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
-      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
-      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
-      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
-      "Now that there is an ease on Lagos lockdown.\n",
-      "\n",
-      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
-      "\n",
-      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
-      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
-      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
-      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
-      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
-      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
-      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
-      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
-      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
-      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
-      "\n",
-      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
-      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
-      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
-      "\n",
-      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
-      "God the inside of the eye looks like a fuckin rubber mask\n",
-      "mask: on\n",
-      "me: horny \n",
-      "@breanna_gar i’m GEEEEKING rn 😂\n",
-      "Talk about the face mask 😹😹😹\n",
-      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
-      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
-      "\n",
-      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
-      "\n",
-      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
-      "@MayorBowser @GovernorVA\n",
-      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
-      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
-      "oh well lol no mask here either .. ever... \n",
-      "\n",
-      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
-      "Grateful that my neighborhood smells really really good even through a mask\n",
-      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
-      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
-      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
-      "NOW they care? Typical Republican behavior:\n",
-      "Against govnt assistance, until they lose their job.\n",
-      "Against federal aid, until that hurricane hits.\n",
-      "Against womens' right to choose, until someone makes them wear a mask.\n",
-      "#VoteBlueToCleanUpThisCrapAgain\n",
-      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
-      "\n",
-      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
-      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
-      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
-      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
-      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
-      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
-      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
-      "I am just glad the mask covers up her but ugly face.\n",
-      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
-      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
-      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
-      "When will it sink in? This is deadly serious.\n",
-      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
-      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
-      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
-      "Another fake video? Nobody is wearing face mask thou🤔\n",
-      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
-      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
-      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
-      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
-      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
      ]
-    }
-   ],
-   "source": [
-    "for tweet in test.tweet[50:100]:\n",
-    "    print(tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
+    },
     {
      "data": {
       "text/html": [
@@ -2495,103 +3372,103 @@
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        "      <th>0</th>\n",
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-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
+       "      <td>2.221553e+09</td>\n",
+       "      <td>chong_wh96</td>\n",
+       "      <td>Chong_wH</td>\n",
+       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
        "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
+       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
+       "      <td>3.075768e+09</td>\n",
+       "      <td>Yamanik30</td>\n",
+       "      <td>ACAB</td>\n",
+       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
        "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
+       "      <td>0.0</td>\n",
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        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
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+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
+       "      <td>3.156025e+09</td>\n",
+       "      <td>JaceLucena</td>\n",
+       "      <td>katka</td>\n",
+       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
        "      <td>False</td>\n",
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        "      <td>0.0</td>\n",
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-       "      <td>0.0</td>\n",
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        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
+       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
+       "      <td>1.583843e+07</td>\n",
+       "      <td>nyman11209</td>\n",
+       "      <td>Hobonator</td>\n",
+       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
        "      <td>False</td>\n",
        "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
+       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2599,193 +3476,780 @@
       ],
       "text/plain": [
        "             id  conversation_id    created_at        date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
-       "1  Ready to heard this? Homemade hair treatment a...   \n",
-       "2  We all know what a joke #CCPChina is when it c...   \n",
-       "3        Thought death masks gave you the horn freak   \n",
-       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
+       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
        "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
+       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
+       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
+       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
+       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
        "\n",
-       "                  name                                               link  \\\n",
-       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
-       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
-       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
-       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
+       "        username       name  \\\n",
+       "0     chong_wh96   Chong_wH   \n",
+       "1      Yamanik30       ACAB   \n",
+       "2  Harry31348302      Harry   \n",
+       "3     JaceLucena      katka   \n",
+       "4     nyman11209  Hobonator   \n",
        "\n",
-       "   retweet  nlikes  nreplies  nretweets  \\\n",
-       "0    False     1.0       0.0        1.0   \n",
-       "1    False     0.0       0.0        0.0   \n",
-       "2    False     1.0       1.0        1.0   \n",
-       "3    False     0.0       0.0        0.0   \n",
-       "4    False     1.0       0.0        1.0   \n",
+       "                                                link retweet  nlikes  \\\n",
+       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
+       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
+       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
+       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
+       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
        "\n",
-       "                                           quote_url  retweet_id  \\\n",
-       "0                                                NaN         NaN   \n",
-       "1                                                NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
-       "3                                                NaN         NaN   \n",
-       "4                                                NaN         NaN   \n",
+       "   nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0       0.0        0.0       NaN         NaN   \n",
+       "1       0.0        0.0       NaN         NaN   \n",
+       "2       0.0        0.0       NaN         NaN   \n",
+       "3       0.0        1.0       NaN         NaN   \n",
+       "4       0.0        0.0       NaN         NaN   \n",
        "\n",
        "                                            reply_to  \n",
-       "0  [{'user_id': '843195118924546048', 'username':...  \n",
-       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
-       "2  [{'user_id': '963032516759207936', 'username':...  \n",
-       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
+       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
+       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
+       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
       ]
      },
-     "execution_count": 45,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
-    "masks.head()"
+    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "masks2.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
     "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
+    "conditions = [\n",
+    "    masks2.sentiment_score > .05,\n",
+    "    masks2.sentiment_score < -.05\n",
+    "]\n",
     "\n",
-    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-0.8176"
+       "negative    38152\n",
+       "positive    31819\n",
+       "neutral     14237\n",
+       "Name: sentiment, dtype: int64"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks.sentiment[0]"
+    "masks2.sentiment.value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-0.8176"
+       "-0.03440293915067452"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    }
+   ],
+   "source": [
+    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks3.sentiment_score > .05,\n",
+    "    masks3.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    34682\n",
+       "positive    32128\n",
+       "neutral     13190\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.013039305000000001"
+      ]
+     },
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks.sentiment[0]['compound']"
+    "masks3.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply text cleaning techniques\n",
+    "def clean_text(text, stop_words):\n",
+    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
+    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
+    "    remove stop words.'''\n",
+    "    \n",
+    "    # make text lowercase\n",
+    "    text = text.lower() \n",
+    "    \n",
+    "    # remove mentions\n",
+    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
+    "    \n",
+    "    # remove links\n",
+    "    text = re.sub(r'http\\S+', '', text) \n",
+    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
+    "    \n",
+    "    # convert emoticons\n",
+    "    emoticons = load_dict_emoticons()\n",
+    "    words = text.split()\n",
+    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
+    "    tweet = ' '.join(words_edit)\n",
+    "\n",
+    "    # convert emojis\n",
+    "    text = emoji.demojize(text)\n",
+    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
+    "    \n",
+    "    # remove punctuation\n",
+    "    text = text.replace('...', ' ') # special cases\n",
+    "    text = text.replace('-', ' ')\n",
+    "    text = text.translate(str.maketrans('', '', '!\"$%&*()+,./;<=>?@[\\\\]^_`{|}~')) \n",
+    "    \n",
+    "    # tokenize words\n",
+    "    tokenizer = RegexpTokenizer(\"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    \n",
+    "    # convert contractions\n",
+    "    contractions = load_dict_contractions()\n",
+    "    words = text.split()\n",
+    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
+    "    text = ' '.join(words_edit)\n",
+    "\n",
+    "    # remove stop words\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    words = [word for word in words if word not in stop_words]\n",
+    "    text = ' '.join(words)\n",
+    "    \n",
+    "    return text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words = stopwords.words('english')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words += ['mask', '#mask',\n",
+    "               'masks', '#masks',\n",
+    "               'face', '#face',\n",
+    "               'facemask', '#facemask',\n",
+    "               'facemasks', '#facemasks', \n",
+    "               'covid', '#covid',\n",
+    "               'covid19', '#covid19',\n",
+    "               'corona', '#corona',\n",
+    "               'coronavirus', '#coronavirus',\n",
+    "               'rona', '#rona',\n",
+    "               'virus', '#virus',\n",
+    "               'viral', '#viral',\n",
+    "               'viruses', '#viruses']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 206,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "-0.000757438644754942"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 The new police issue masks might not prevent covid19 identifying them as human.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "1 Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "2 … I guess Nancy can put in masks for everyone in her coronavirus funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "3 Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "4 Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
+      "\n",
+      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "5 all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "6 Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
+      "\n",
+      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "7 This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
+      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "8 I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "9 Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "10 I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "11 From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "12 Cara mengingat pencegahan virus\n",
+      " W-U-H-A-N:\n",
+      "\n",
+      "Bahasa Inggris*\n",
+      "\n",
+      "*W* - wash hands\n",
+      "*U* - use mask properly\n",
+      "*H* - have temperature checked regularly\n",
+      "*A* - avoid large crowds\n",
+      "*N* - never touch your face with unclean hands\n",
+      "\n",
+      "#CoronaVirusIndonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "13 Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "14 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "15 Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
+      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "16 I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "17 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "18 #coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "19 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "20 Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "21 Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "22 trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
+      "\n",
+      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "23 \"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "24 So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
+      "\n",
+      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
+      "\n",
+      "#CoronaVirusUpdate \n",
+      "@TheUnhingedOne_\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "25 Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "26 It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "27 99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
+      "\n",
+      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "28 No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "29 The Coronavirus is freaking me out. At least I got some masks. 😷\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "30 If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "31 Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "32 Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "33 the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "34 Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "35 😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "36 Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "37 How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "38 Current in demand items selling out in stores but available on Amazon: \n",
+      "Water  https://amzn.to/2vurRCi \n",
+      "Masks  https://amzn.to/2wT7M8X \n",
+      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
+      "ad \n",
+      "#coronavirus #coronavirusus #coronavirususa\n",
+      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
+      "#coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "39 It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "40 I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "41 N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "42 If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "43 There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "44 at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "45 No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
+      "\n",
+      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "46 The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "47 A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
+      "\n",
+      "Don’t give me , washing hands is better malarkey. \n",
+      "\n",
+      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
+      "\n",
+      "#coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "48 Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "49 I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
     }
    ],
    "source": [
-    "masks.sentiment.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conditions = [\n",
-    "    masks.sentiment_score > .05,\n",
-    "    masks.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
+    "for i, tweet in enumerate(masks3['tweet'].head(50)):\n",
+    "    print(i, tweet)\n",
+    "    print('\\n-----------------------------\\n')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 207,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "negative    17100\n",
-       "positive    16882\n",
-       "neutral      7457\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 new police issue might prevent identifying human\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "1 wear need go outside benefit using benefit much basic hygiene manners\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "2 guess nancy put everyone funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "3 washing hands disinfecting electronics save\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "4 americans worried need buy us surgeon general says\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "5 people worried start wearing guess made china facewithtearsofjoy\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "6 get toilet paper sanitizer paper towels tissues vodka next people waiting line hours stores open buy stuff going try luck costco today #japan #coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "7 webinar discuss research related long term respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register #emgtwitter\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "8 went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "9 yet wear worried leading charge\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "10 backed next gen pollution filtration botanicals\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "11 doctors talked apparently help effective hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "12 cara mengingat pencegahan w u h n bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands #coronavirusindonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "13 also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "14 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "15 since medical running stock try going environmentally friendly getting reusable\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "16 seeing glammed love #blackpeople going fly regardless #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "17 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "18 #nyc panic shopping brunch packed\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "19 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "20 living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "21 crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "22 trump empathy compassion care people die cares think poe red death mar lago hideaway wall country ravaged disease\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "23 ny panic shopping brunch packed kimiko de freytas tamura via nyt check contact us small business needs\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "24 stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy #coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "25 snapchat shoulda made filters irl could keep cute\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "26 moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "27 people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "28 need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "29 freaking least got facewithmedicalmask\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "30 need go see doctor example wear surgical protect others needed unwell go\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "31 okay celeb wearing met gala year saying fit inspired\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "32 seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "33 funniest part basic protect either lol requires n respirator\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "34 informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "35 facewithmedicalmask prevent experts say depends\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "36 wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "37 prepare washing hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "38 current demand items selling stores available amazon water hand sanitizer ad #coronavirusus #coronavirususa #sarscov19 #sarscov2 #china #wuhan #flu #coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "39 ironic say saying effective preventing infection\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "40 refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipeline deadline soon possible yea\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "41 n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "42 one doctors tells wear protect totally dysfunctional immune system going wear\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "43 babies flight today see one person huge airport media democrats worried\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "44 job home depot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "45 need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "46 authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "47 question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched #coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "48 damn surgical block incompetent send flood god\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "49 interested raising fears canada suggesting wear speculating financial impact canada #housing think slow hot housing markets usher correction markets #ldnont\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
     }
    ],
    "source": [
-    "masks.sentiment.value_counts()"
+    "for i, tweet in enumerate(masks3['cleaned_tweet'].head(50)):\n",
+    "    print(i, tweet)\n",
+    "    print('\\n-----------------------------\\n')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 113,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -2807,969 +4271,577 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
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-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
+       "      <th>a0</th>\n",
+       "      <th>a1</th>\n",
+       "      <th>a10</th>\n",
+       "      <th>a2</th>\n",
+       "      <th>a3</th>\n",
+       "      <th>a4</th>\n",
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+       "      <th>a9</th>\n",
+       "      <th>aa</th>\n",
+       "      <th>aa377</th>\n",
+       "      <th>...</th>\n",
+       "      <th>zulus</th>\n",
+       "      <th>zum</th>\n",
+       "      <th>zuma</th>\n",
+       "      <th>zumba</th>\n",
+       "      <th>zurich</th>\n",
+       "      <th>zville</th>\n",
+       "      <th>zweli</th>\n",
+       "      <th>zyad</th>\n",
+       "      <th>zyada</th>\n",
+       "      <th>zzz</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.221553e+09</td>\n",
-       "      <td>chong_wh96</td>\n",
-       "      <td>Chong_wH</td>\n",
-       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
-       "      <td>False</td>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.075768e+09</td>\n",
-       "      <td>Yamanik30</td>\n",
-       "      <td>ACAB</td>\n",
-       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
-       "      <td>False</td>\n",
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-       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.209989e+18</td>\n",
-       "      <td>Harry31348302</td>\n",
-       "      <td>Harry</td>\n",
-       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
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-       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.156025e+09</td>\n",
-       "      <td>JaceLucena</td>\n",
-       "      <td>katka</td>\n",
-       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
-       "      <td>False</td>\n",
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-       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
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+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.583843e+07</td>\n",
-       "      <td>nyman11209</td>\n",
-       "      <td>Hobonator</td>\n",
-       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5 rows × 56317 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "\n",
-       "                                               tweet hashtags       user_id  \\\n",
-       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
-       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
-       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
-       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
-       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
-       "\n",
-       "        username       name  \\\n",
-       "0     chong_wh96   Chong_wH   \n",
-       "1      Yamanik30       ACAB   \n",
-       "2  Harry31348302      Harry   \n",
-       "3     JaceLucena      katka   \n",
-       "4     nyman11209  Hobonator   \n",
-       "\n",
-       "                                                link retweet  nlikes  \\\n",
-       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
-       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
-       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
-       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
-       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
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+       "0   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
+       "1   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
+       "2   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
+       "3   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
+       "4   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
        "\n",
-       "   nreplies  nretweets quote_url  retweet_id  \\\n",
-       "0       0.0        0.0       NaN         NaN   \n",
-       "1       0.0        0.0       NaN         NaN   \n",
-       "2       0.0        0.0       NaN         NaN   \n",
-       "3       0.0        1.0       NaN         NaN   \n",
-       "4       0.0        0.0       NaN         NaN   \n",
+       "   zurich  zville  zweli  zyad  zyada  zzz  \n",
+       "0       0       0      0     0      0    0  \n",
+       "1       0       0      0     0      0    0  \n",
+       "2       0       0      0     0      0    0  \n",
+       "3       0       0      0     0      0    0  \n",
+       "4       0       0      0     0      0    0  \n",
        "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
-       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
-       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
-       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
-       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "masks2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
-    "\n",
-    "conditions = [\n",
-    "    masks2.sentiment_score > .05,\n",
-    "    masks2.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    38152\n",
-       "positive    31819\n",
-       "neutral     14237\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.03440293915067452"
+       "[5 rows x 56317 columns]"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 113,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks2.sentiment_score.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    }
-   ],
-   "source": [
-    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 114,
    "metadata": {},
    "outputs": [],
    "source": [
-    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
     "\n",
-    "conditions = [\n",
-    "    masks3.sentiment_score > .05,\n",
-    "    masks3.sentiment_score < -.05\n",
-    "]\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
     "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
     "\n",
-    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    34682\n",
-       "positive    32128\n",
-       "neutral     13190\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks3.sentiment.value_counts()"
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 115,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-0.013039305000000001"
+       "[(0,\n",
+       "  '0.018*\"hand\" + 0.013*\"sanitizer\" + 0.012*\"people\" + 0.008*\"get\" + 0.008*\"wear\" + 0.008*\"like\" + 0.007*\"gloves\" + 0.007*\"facewithmedicalmask\" + 0.007*\"paper\" + 0.006*\"got\"'),\n",
+       " (1,\n",
+       "  '0.015*\"hospital\" + 0.012*\"health\" + 0.011*\"staff\" + 0.010*\"patients\" + 0.010*\"care\" + 0.010*\"nurse\" + 0.006*\"new\" + 0.006*\"workers\" + 0.006*\"hospitals\" + 0.006*\"medical\"'),\n",
+       " (2,\n",
+       "  '0.023*\"us\" + 0.022*\"doctors\" + 0.022*\"gloves\" + 0.020*\"nurses\" + 0.019*\"china\" + 0.018*\"kits\" + 0.016*\"without\" + 0.015*\"test\" + 0.013*\"risk\" + 0.011*\"million\"'),\n",
+       " (3,\n",
+       "  '0.028*\"facewithtearsofjoy\" + 0.023*\"wearing\" + 0.021*\"gas\" + 0.013*\"man\" + 0.013*\"one\" + 0.011*\"wore\" + 0.009*\"house\" + 0.009*\"rollingonthefloorlaughing\" + 0.007*\"via\" + 0.006*\"gaetz\"'),\n",
+       " (4,\n",
+       "  '0.026*\"people\" + 0.021*\"wear\" + 0.020*\"wearing\" + 0.012*\"infected\" + 0.012*\"need\" + 0.011*\"protect\" + 0.010*\"get\" + 0.009*\"hands\" + 0.008*\"like\" + 0.008*\"sick\"')]"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks3.sentiment_score.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Apply text cleaning techniques\n",
-    "def clean_text(text, stop_words):\n",
-    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
-    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
-    "    remove stop words.'''\n",
-    "    \n",
-    "    # make text lowercase\n",
-    "    text = text.lower() \n",
-    "    \n",
-    "    # remove mentions\n",
-    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
-    "    \n",
-    "    # remove links\n",
-    "    text = re.sub(r'http\\S+', '', text) \n",
-    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
-    "    \n",
-    "    # convert emoticons\n",
-    "    emoticons = load_dict_emoticons()\n",
-    "    words = text.split()\n",
-    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
-    "    tweet = ' '.join(words_edit)\n",
-    "\n",
-    "    # convert emojis\n",
-    "    text = emoji.demojize(text)\n",
-    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
-    "    \n",
-    "    # remove punctuation\n",
-    "    text = text.translate(str.maketrans('', '', '!\"#$%&*()+,-./;<=>?@[\\\\]^_`{|}~')) \n",
-    "    \n",
-    "    # tokenize words\n",
-    "    tokenizer = RegexpTokenizer(\"([a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    \n",
-    "    # convert contractions\n",
-    "    contractions = load_dict_contractions()\n",
-    "    words = text.split()\n",
-    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
-    "    text = ' '.join(words_edit)\n",
-    "\n",
-    "    # remove stop words\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    words = [word for word in words if word not in stop_words]\n",
-    "    text = ' '.join(words)\n",
-    "    \n",
-    "    return text"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stop_words = stopwords.words('english')"
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "stop_words += ['mask', 'masks', 'face', 'facemask', 'facemasks', 'covid', 'covid19', 'corona', 'coronavirus', 'rona',\n",
-    "               'virus', 'viral', 'viruses']"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {},
+   "execution_count": 62,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "The new police issue masks might not prevent covid19 identifying them as human.\n",
-      "Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
-      "… I guess Nancy can put in masks for everyone in her coronavirus funding\n",
-      "Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
-      "Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
-      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n"
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
      ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity  \n",
+       "0      0.288889  \n",
+       "1      0.425000  \n",
+       "2      0.000000  \n",
+       "3      0.000000  \n",
+       "4      0.648409  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "for tweet in masks3['tweet'].head():\n",
-    "    print(tweet)"
+    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
+    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "masks.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "new police issue might prevent identifying human\n",
-      "wear need go outside benefit using benefit much basic hygiene manners\n",
-      "guess nancy put everyone funding\n",
-      "washing hands disinfecting electronics save\n",
-      "americans worried need buy us surgeon general says\n",
-      "people worried start wearing guess made china facewithtearsofjoy\n",
-      "get toilet paper sanitizer paper towels tissues vodkawhat next people waiting line hours stores open buy stuff going try luck costco today japan coronavirusupdate\n",
-      "webinar discuss research related longterm respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register emgtwitter\n",
-      "went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
-      "yet wear worried leading charge\n",
-      "backed next gen pollution filtration botanicals\n",
-      "doctors talked apparently help effective hand washing\n",
-      "cara mengingat pencegahan wuhan bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands coronavirusindonesia\n",
-      "also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
-      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "since medical running stock try going environmentally friendly getting reusable\n",
-      "seeing glammed love blackpeople going fly regardless periodtttt\n",
-      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "nyc panic shopping brunch packed\n",
-      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
-      "crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
-      "trump empathy compassion care people die cares think poe red death maralago hideaway wall country ravaged disease\n",
-      "ny panic shopping brunch packed kimiko de freytastamura via nyt check contact us small business needs\n",
-      "stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy coronavirusupdate\n",
-      "snapchat shoulda made filters irl could keep cute\n",
-      "moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
-      "people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
-      "need might increase infection risk\n",
-      "freaking least got facewithmedicalmask\n",
-      "need go see doctor example wear surgical protect others needed unwell go\n",
-      "okay celeb wearing met gala year saying fit inspired\n",
-      "seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
-      "funniest part basic protect either lol requires n95 respirator\n",
-      "informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
-      "facewithmedicalmask prevent experts say depends\n",
-      "wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
-      "prepare washing hands\n",
-      "current demand items selling stores available amazon water hand sanitizer ad coronavirusus coronavirususa sarscov19 sarscov2 china wuhan flu coronavid19\n",
-      "ironic say saying effective preventing infection\n",
-      "refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipelineall deadline soon possible yea\n",
-      "n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
-      "one doctors tells wear protect totally dysfunctional immune system going wear\n",
-      "babies flight today see one person huge airport media democrats worried\n",
-      "job homedepot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
-      "need might increase infection risk\n",
-      "authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
-      "question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched coronavirusuk\n",
-      "damn surgical block incompetent send flood god\n",
-      "interested raising fears canada suggesting wear speculating financial impact canada housing think slow hot housing markets usher correction markets ldnont\n"
-     ]
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
-    "for tweet in masks3['cleaned_tweet'].head(50):\n",
-    "    print(tweet)"
+    "sns.set_style('ticks')\n",
+    "\n",
+    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 94,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "The new police issue masks might not prevent covid19 identifying them as human.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "… I guess Nancy can put in masks for everyone in her coronavirus funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
-      "\n",
-      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
-      "\n",
-      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
-      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Cara mengingat pencegahan virus\n",
-      " W-U-H-A-N:\n",
-      "\n",
-      "Bahasa Inggris*\n",
-      "\n",
-      "*W* - wash hands\n",
-      "*U* - use mask properly\n",
-      "*H* - have temperature checked regularly\n",
-      "*A* - avoid large crowds\n",
-      "*N* - never touch your face with unclean hands\n",
-      "\n",
-      "#CoronaVirusIndonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
-      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "#coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
-      "\n",
-      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "\"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
-      "\n",
-      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
-      "\n",
-      "#CoronaVirusUpdate \n",
-      "@TheUnhingedOne_\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
-      "\n",
-      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "The Coronavirus is freaking me out. At least I got some masks. 😷\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Current in demand items selling out in stores but available on Amazon: \n",
-      "Water  https://amzn.to/2vurRCi \n",
-      "Masks  https://amzn.to/2wT7M8X \n",
-      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
-      "ad \n",
-      "#coronavirus #coronavirusus #coronavirususa\n",
-      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
-      "#coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
-      "\n",
-      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
-      "\n",
-      "Don’t give me , washing hands is better malarkey. \n",
-      "\n",
-      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
-      "\n",
-      "#coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
-      "-----------------------------\n",
-      "\n"
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
      ]
+    },
+    {
+     "data": {
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+       "                 date  polarity  subjectivity\n",
+       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
+       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
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+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "for tweet in masks3['tweet'].head(50):\n",
-    "    print(tweet)\n",
-    "    print('\\n-----------------------------\\n')"
+    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
+    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
+    "masks_ts.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 95,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "new police issue might prevent identifying human\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "wear need go outside benefit using benefit much basic hygiene manners\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "guess nancy put everyone funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "washing hands disinfecting electronics save\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "americans worried need buy us surgeon general says\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "people worried start wearing guess made china facewithtearsofjoy\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "get toilet paper sanitizer paper towels tissues vodkawhat next people waiting line hours stores open buy stuff going try luck costco today japan coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "webinar discuss research related longterm respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register emgtwitter\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "yet wear worried leading charge\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "backed next gen pollution filtration botanicals\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "doctors talked apparently help effective hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "cara mengingat pencegahan wuhan bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands coronavirusindonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "since medical running stock try going environmentally friendly getting reusable\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "seeing glammed love blackpeople going fly regardless periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "nyc panic shopping brunch packed\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "coronavirusstock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "trump empathy compassion care people die cares think poe red death maralago hideaway wall country ravaged disease\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "ny panic shopping brunch packed kimiko de freytastamura via nyt check contact us small business needs\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "snapchat shoulda made filters irl could keep cute\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "freaking least got facewithmedicalmask\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "need go see doctor example wear surgical protect others needed unwell go\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "okay celeb wearing met gala year saying fit inspired\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "funniest part basic protect either lol requires n95 respirator\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "facewithmedicalmask prevent experts say depends\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "prepare washing hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "current demand items selling stores available amazon water hand sanitizer ad coronavirusus coronavirususa sarscov19 sarscov2 china wuhan flu coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "ironic say saying effective preventing infection\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipelineall deadline soon possible yea\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "one doctors tells wear protect totally dysfunctional immune system going wear\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "babies flight today see one person huge airport media democrats worried\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "job homedepot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "damn surgical block incompetent send flood god\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "interested raising fears canada suggesting wear speculating financial impact canada housing think slow hot housing markets usher correction markets ldnont\n",
-      "\n",
-      "-----------------------------\n",
-      "\n"
-     ]
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
+       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
+       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
+       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
+       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
+       "               ...\n",
+       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
+       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
+       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
+       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "for tweet in masks3['cleaned_tweet'].head(50):\n",
-    "    print(tweet)\n",
-    "    print('\\n-----------------------------\\n')"
+    "masks_ts.set_index('date', inplace=True)\n",
+    "masks_ts.index"
    ]
   },
   {
@@ -3798,171 +4870,53 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>a0</th>\n",
-       "      <th>a1</th>\n",
-       "      <th>a10</th>\n",
-       "      <th>a2</th>\n",
-       "      <th>a3</th>\n",
-       "      <th>a4</th>\n",
-       "      <th>a5</th>\n",
-       "      <th>a9</th>\n",
-       "      <th>aa</th>\n",
-       "      <th>aa377</th>\n",
-       "      <th>...</th>\n",
-       "      <th>zulus</th>\n",
-       "      <th>zum</th>\n",
-       "      <th>zuma</th>\n",
-       "      <th>zumba</th>\n",
-       "      <th>zurich</th>\n",
-       "      <th>zville</th>\n",
-       "      <th>zweli</th>\n",
-       "      <th>zyad</th>\n",
-       "      <th>zyada</th>\n",
-       "      <th>zzz</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.004358</td>\n",
+       "      <td>0.369293</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>-0.001089</td>\n",
+       "      <td>0.379444</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.111727</td>\n",
+       "      <td>0.440448</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.040365</td>\n",
+       "      <td>0.383991</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.047351</td>\n",
+       "      <td>0.418947</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 58031 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "   a0  a1  a10  a2  a3  a4  a5  a9  aa  aa377  ...  zulus  zum  zuma  zumba  \\\n",
-       "0   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "1   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "2   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "3   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "4   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "\n",
-       "   zurich  zville  zweli  zyad  zyada  zzz  \n",
-       "0       0       0      0     0      0    0  \n",
-       "1       0       0      0     0      0    0  \n",
-       "2       0       0      0     0      0    0  \n",
-       "3       0       0      0     0      0    0  \n",
-       "4       0       0      0     0      0    0  \n",
-       "\n",
-       "[5 rows x 58031 columns]"
+       "            polarity  subjectivity\n",
+       "date                              \n",
+       "2020-01-01  0.004358      0.369293\n",
+       "2020-01-02 -0.001089      0.379444\n",
+       "2020-01-03  0.111727      0.440448\n",
+       "2020-01-04  0.040365      0.383991\n",
+       "2020-01-05  0.047351      0.418947"
       ]
      },
      "execution_count": 96,
@@ -3971,34 +4925,38 @@
     }
    ],
    "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
+    "masks_ts_daily = masks_ts.resample('D').mean()\n",
+    "masks_ts_daily.head()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 97,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
-    "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
-    "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
-    "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
    ]
   },
   {
@@ -4009,36 +4967,45 @@
     {
      "data": {
       "text/plain": [
-       "[(0,\n",
-       "  '0.027*\"hand\" + 0.021*\"hands\" + 0.019*\"sanitizer\" + 0.014*\"facewithtearsofjoy\" + 0.014*\"stay\" + 0.013*\"wash\" + 0.013*\"gloves\" + 0.010*\"paper\" + 0.008*\"sanitizers\" + 0.008*\"people\"'),\n",
-       " (1,\n",
-       "  '0.024*\"jack\" + 0.022*\"us\" + 0.020*\"via\" + 0.014*\"buying\" + 0.013*\"chinese\" + 0.013*\"new\" + 0.012*\"outbreak\" + 0.012*\"billionaire\" + 0.011*\"medical\" + 0.009*\"coronavirusupdates\"'),\n",
-       " (2,\n",
-       "  '0.021*\"kits\" + 0.018*\"test\" + 0.017*\"china\" + 0.015*\"us\" + 0.013*\"million\" + 0.011*\"gas\" + 0.011*\"one\" + 0.010*\"testing\" + 0.009*\"donate\" + 0.009*\"pandemic\"'),\n",
-       " (3,\n",
-       "  '0.026*\"people\" + 0.020*\"wear\" + 0.020*\"wearing\" + 0.012*\"get\" + 0.011*\"like\" + 0.010*\"infected\" + 0.009*\"one\" + 0.008*\"need\" + 0.007*\"even\" + 0.007*\"protect\"'),\n",
-       " (4,\n",
-       "  '0.025*\"doctors\" + 0.025*\"gloves\" + 0.019*\"nurses\" + 0.017*\"n95\" + 0.016*\"without\" + 0.015*\"risk\" + 0.012*\"medical\" + 0.012*\"health\" + 0.010*\"need\" + 0.010*\"patients\"')]"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
       ]
      },
      "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
+    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import datetime\n",
+    "\n",
+    "dates = []\n",
+    "start_date = datetime.date(2020, 1, 1)\n",
+    "end_date = datetime.date(2020, 6, 11)\n",
+    "delta = datetime.timedelta(days=1)\n",
+    "\n",
+    "while start_date <= end_date:\n",
+    "    dates.append(str(start_date))\n",
+    "    start_date += delta"
+   ]
   }
  ],
  "metadata": {
diff --git a/twitter_scraping_notebook.ipynb b/twitter_scraping_notebook.ipynb
index b58fab0..131ce4e 100644
--- a/twitter_scraping_notebook.ipynb
+++ b/twitter_scraping_notebook.ipynb
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -426,6 +426,178 @@
       "sleeping for 343.0 secs\n",
       "CRITICAL:root:twint.output:checkData:copyrightedTweet\n"
      ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 15:32:57.138913 2020-05-10 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 16:06:07.759205 2020-05-11 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 16:26:22.649298 2020-05-12 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 16:46:46.005451 2020-05-13 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 17:21:10.099985 2020-05-14 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 343.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-15 17:42:15.913402 2020-05-15 Saved!\n",
+      "CPU times: user 50min 14s, sys: 32.3 s, total: 50min 46s\n",
+      "Wall time: 6h 8min 14s\n"
+     ]
     }
    ],
    "source": [
@@ -435,19 +607,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'df' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-8-9e112543b788>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m: name 'df' is not defined"
-     ]
+     "data": {
+      "text/plain": [
+       "152206"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -456,211 +627,134 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1212523886329380865</td>\n",
-       "      <td>1212523886329380865</td>\n",
-       "      <td>1577923196000</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1099209894295678977</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>Matt0417 (CEO of POOP)</td>\n",
-       "      <td>https://twitter.com/Matt04181/status/121252388...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1212523880558026753</td>\n",
-       "      <td>1212523880558026753</td>\n",
-       "      <td>1577923195000</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>57777541</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Emma 🧛🏻‍♀️</td>\n",
-       "      <td>https://twitter.com/standtallx/status/12125238...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1212523828888449024</td>\n",
-       "      <td>1212421340281614338</td>\n",
-       "      <td>1577923183000</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>346609834</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>6 Times LFC</td>\n",
-       "      <td>https://twitter.com/5_Times_LFC/status/1212523...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1212523807128186882</td>\n",
-       "      <td>1212402852011937792</td>\n",
-       "      <td>1577923177000</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1070005555777945600</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>mugiwara no</td>\n",
-       "      <td>https://twitter.com/kagura_shelby/status/12125...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1212523752925229056</td>\n",
-       "      <td>1212512506838519811</td>\n",
-       "      <td>1577923164000</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>48659042</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>Luwamba L.J.Taylor</td>\n",
-       "      <td>https://twitter.com/IBdaSweet1/status/12125237...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td></td>\n",
-       "      <td></td>\n",
-       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "                    id      conversation_id     created_at        date  \\\n",
-       "0  1212523886329380865  1212523886329380865  1577923196000  2020-01-01   \n",
-       "1  1212523880558026753  1212523880558026753  1577923195000  2020-01-01   \n",
-       "2  1212523828888449024  1212421340281614338  1577923183000  2020-01-01   \n",
-       "3  1212523807128186882  1212402852011937792  1577923177000  2020-01-01   \n",
-       "4  1212523752925229056  1212512506838519811  1577923164000  2020-01-01   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags              user_id       username  \\\n",
-       "0                        []  1099209894295678977      Matt04181   \n",
-       "1                        []             57777541     standtallx   \n",
-       "2  [#classicjose, #coverup]            346609834    5_Times_LFC   \n",
-       "3                        []  1070005555777945600  kagura_shelby   \n",
-       "4                   [#hugs]             48659042     IBdaSweet1   \n",
-       "\n",
-       "                     name                                               link  \\\n",
-       "0  Matt0417 (CEO of POOP)  https://twitter.com/Matt04181/status/121252388...   \n",
-       "1              Emma 🧛🏻‍♀️  https://twitter.com/standtallx/status/12125238...   \n",
-       "2             6 Times LFC  https://twitter.com/5_Times_LFC/status/1212523...   \n",
-       "3             mugiwara no  https://twitter.com/kagura_shelby/status/12125...   \n",
-       "4      Luwamba L.J.Taylor  https://twitter.com/IBdaSweet1/status/12125237...   \n",
-       "\n",
-       "   retweet  nlikes  nreplies  nretweets quote_url retweet_id  \\\n",
-       "0    False       4         0          0                        \n",
-       "1    False       3         2          0                        \n",
-       "2    False       0         0          0                        \n",
-       "3    False       3         0          0                        \n",
-       "4    False       1         0          0                        \n",
-       "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '1099209894295678977', 'username'...  \n",
-       "1  [{'user_id': '57777541', 'username': 'standtal...  \n",
-       "2  [{'user_id': '346609834', 'username': '5_Times...  \n",
-       "3  [{'user_id': '1070005555777945600', 'username'...  \n",
-       "4  [{'user_id': '48659042', 'username': 'IBdaSwee...  "
+       "(152206, 17)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "jan_df.head()"
+    "df.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1256718682761375744    2\n",
+       "1256717134320873472    2\n",
+       "1256718008178728961    2\n",
+       "1256718633495146499    2\n",
+       "1256720384512024578    2\n",
+       "                      ..\n",
+       "1256720052876869636    1\n",
+       "1256954032880529409    1\n",
+       "1260217169956257793    1\n",
+       "1261303329201827840    1\n",
+       "1261071394596626435    1\n",
+       "Name: id, Length: 151987, dtype: int64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.id.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(144045, 17)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_df = df.drop_duplicates(subset='tweet')\n",
+    "test_df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(144035, 17)"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_df = test_df.drop_duplicates(subset='id')\n",
+    "test_df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1256719192579022850    2\n",
+       "1256716917659906050    2\n",
+       "1256720281038716928    2\n",
+       "1256718270276739075    2\n",
+       "1256720164449468416    2\n",
+       "                      ..\n",
+       "1256152688439570434    1\n",
+       "1256800030842855424    1\n",
+       "1261378795589660672    1\n",
+       "1258107879363686403    1\n",
+       "1261071394596626435    1\n",
+       "Name: id, Length: 144035, dtype: int64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_df.id.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {

From e07852724346596d95b04ceb761a1af8b2f89cbe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Tue, 16 Jun 2020 12:18:36 -0400
Subject: [PATCH 09/14] updated functions and cleaning up workbook

---
 functions.py                                  |   61 +-
 ...r_scraping_notebook-backup_0616-noon.ipynb | 5813 +++++++++++++++++
 ...ping_notebook.ipynb => josh-workbook.ipynb | 2047 ++----
 3 files changed, 6562 insertions(+), 1359 deletions(-)
 create mode 100644 josh-twitter_scraping_notebook-backup_0616-noon.ipynb
 rename josh-twitter_scraping_notebook.ipynb => josh-workbook.ipynb (82%)

diff --git a/functions.py b/functions.py
index 26112e3..532f089 100644
--- a/functions.py
+++ b/functions.py
@@ -1,3 +1,51 @@
+# twitter scrape
+def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):
+    '''
+    Function to return a pandas dataframe of tweets in English containing search terms using twint.
+    Required parameter: search term.
+    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).
+    '''
+    c = twint.Config()
+    c.Lang = 'en'
+    c.Search = search
+    c.Username = username
+    c.Since = since
+    c.Until = until
+    c.Limit = limit
+    c.Pandas = True
+    # Hide the printing of every tweet during scrape
+    c.Hide_output = True
+    twint.run.Search(c)
+    df = twint.storage.panda.Tweets_df
+    # Transform date string into datetime object
+    df['date'] = pd.to_datetime(df['date']).dt.date
+    return df
+
+# looping twitter scrape and creating dataframe
+def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):
+    '''
+    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.
+    Periodically saves progress to CSV after each daily search.
+    Required parameters: start date, end date, search term.
+    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).
+    '''
+    df = pd.DataFrame()
+    date_range = pd.Series(pd.date_range(start_date, end_date))
+    for d in range(len(date_range) - 1):
+        since = date_range[d].strftime('%Y-%m-%d')
+        until = date_range[d + 1].strftime('%Y-%m-%d')
+        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)
+        # Drop empty columns
+        day_df.drop(columns=drop_cols, axis=1, inplace=True)
+        # Add new daily data to dataframe, reset index, save to CSV
+        df = pd.concat([df, day_df])
+        del day_df
+        df.reset_index(drop=True, inplace=True)
+        df.to_csv(f'Datasets/{filename}.csv')
+        print(datetime.now(), f'{since} Saved!')
+    return df
+
+
 # emoticons
 def load_dict_emoticons():
     
@@ -233,7 +281,7 @@ def load_dict_contractions():
         }
 
 # Apply text cleaning techniques
-def clean_text(text):
+def clean_text(text, stop_words):
     '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation
     (except apostrophes), tokenize words (including contractions), convert contractions to full words,
     remove stop words.'''
@@ -250,22 +298,21 @@ def clean_text(text):
     
     # convert emoticons
     emoticons = load_dict_emoticons()
-    words = tweet.split()
+    words = text.split()
     words_edit = [emoticons[word] if word in emoticons else word for word in words]
     tweet = ' '.join(words_edit)
-    
-#     text = re.sub(r'[:;]{1}-*\(', 'sad face', text) , part 1
-#     text = re.sub(r'[:;]{1}-*\)', 'happy face', text) # convert emoticons, part 2
 
     # convert emojis
     text = emoji.demojize(text)
     text = text.replace(':', ' ') # separate emojis-words with space
     
     # remove punctuation
-    text = text.translate(str.maketrans('', '', '!"#$%&*()+,-./;<=>?@[\\]^_`{|}~')) 
+    text = text.replace('...', ' ') # special cases
+    text = text.replace('-', ' ')
+    text = text.translate(str.maketrans('', '', '!"$%&*()+,./;<=>?@[\\]^_`{|}~')) 
     
     # tokenize words
-    tokenizer = RegexpTokenizer("([a-zA-Z]+[0-9]*(?:'[a-zx]+)?)")
+    tokenizer = RegexpTokenizer("(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)")
     words = tokenizer.tokenize(text)
     
     # convert contractions
diff --git a/josh-twitter_scraping_notebook-backup_0616-noon.ipynb b/josh-twitter_scraping_notebook-backup_0616-noon.ipynb
new file mode 100644
index 0000000..51c178d
--- /dev/null
+++ b/josh-twitter_scraping_notebook-backup_0616-noon.ipynb
@@ -0,0 +1,5813 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "import nltk\n",
+    "from nltk import RegexpTokenizer\n",
+    "from nltk.corpus import stopwords\n",
+    "from textblob import TextBlob\n",
+    "import re\n",
+    "import string\n",
+    "import emoji\n",
+    "\n",
+    "%load_ext autoreload\n",
+    "\n",
+    "%autoreload\n",
+    "\n",
+    "from functions import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('max_colwidth', 150)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Twitter scrape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):\n",
+    "    '''\n",
+    "    Function to return a pandas dataframe of tweets in English containing search terms using twint.\n",
+    "    Required parameter: search term.\n",
+    "    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).\n",
+    "    '''\n",
+    "    c = twint.Config()\n",
+    "    c.Lang = 'en'\n",
+    "    c.Search = search\n",
+    "    c.Username = username\n",
+    "    c.Since = since\n",
+    "    c.Until = until\n",
+    "    c.Limit = limit\n",
+    "    c.Pandas = True\n",
+    "    # Hide the printing of every tweet during scrape\n",
+    "    c.Hide_output = True\n",
+    "    twint.run.Search(c)\n",
+    "    df = twint.storage.panda.Tweets_df\n",
+    "    # Transform date string into datetime object\n",
+    "    df['date'] = pd.to_datetime(df['date']).dt.date\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):\n",
+    "    '''\n",
+    "    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.\n",
+    "    Periodically saves progress to CSV after each daily search.\n",
+    "    Required parameters: start date, end date, search term.\n",
+    "    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).\n",
+    "    '''\n",
+    "    df = pd.DataFrame()\n",
+    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
+    "    for d in range(len(date_range) - 1):\n",
+    "        since = date_range[d].strftime('%Y-%m-%d')\n",
+    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)\n",
+    "        # Drop empty columns\n",
+    "        day_df.drop(columns=drop_cols, axis=1, inplace=True)\n",
+    "        # Add new daily data to dataframe, reset index, save to CSV\n",
+    "        df = pd.concat([df, day_df])\n",
+    "        del day_df\n",
+    "        df.reset_index(drop=True, inplace=True)\n",
+    "        df.to_csv(f'Datasets/{filename}.csv')\n",
+    "        print(datetime.now(), f'{since} Saved!')\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Search loop params for March tweets\n",
+    "\n",
+    "start_date = '2020-05-01'\n",
+    "\n",
+    "end_date = '2020-05-16'\n",
+    "\n",
+    "search = '(mask OR masks) AND (covid OR covid19 OR corona OR coronavirus)'\n",
+    "\n",
+    "filename = 'may_first_half_tweets'\n",
+    "\n",
+    "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
+    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']\n",
+    "\n",
+    "limit = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 8)"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename,\\\n",
+    "                       drop_cols=drop_cols, limit=limit)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Preparing csvs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(191902, 17)"
+      ]
+     },
+     "execution_count": 174,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
+    "test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01     10017\n",
+       "2020-05-02     12871\n",
+       "2020-05-03      9557\n",
+       "2020-05-04     10019\n",
+       "2020-05-05     10009\n",
+       "2020-05-06     18885\n",
+       "2020-05-07     10000\n",
+       "2020-05-08     10010\n",
+       "2020-05-09     10017\n",
+       "2020-05-10      9676\n",
+       "2020-05-11     10000\n",
+       "2020-05-12     10008\n",
+       "2020-05-13     40812\n",
+       "2020-05-14     10000\n",
+       "2020-05-15     10019\n",
+       "Stat Butler        2\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 175,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.groupby('date').tweet.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(144036, 17)"
+      ]
+     },
+     "execution_count": 176,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop = test.drop_duplicates(subset='tweet')\n",
+    "test_drop = test_drop.drop_duplicates(subset='id')\n",
+    "test_drop.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags                2\n",
+       "user_id                 2\n",
+       "username                2\n",
+       "name                    7\n",
+       "link                    3\n",
+       "retweet                 3\n",
+       "nlikes                  2\n",
+       "nreplies                3\n",
+       "nretweets               3\n",
+       "quote_url          133479\n",
+       "retweet_id         144036\n",
+       "reply_to                3\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                 0\n",
+       "conversation_id    0\n",
+       "created_at         0\n",
+       "date               0\n",
+       "tweet              0\n",
+       "hashtags           0\n",
+       "user_id            0\n",
+       "username           0\n",
+       "name               0\n",
+       "link               0\n",
+       "retweet            0\n",
+       "nlikes             0\n",
+       "nreplies           0\n",
+       "nretweets          0\n",
+       "reply_to           0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.drop(columns=['quote_url', 'retweet_id'], inplace=True)\n",
+    "test_drop.dropna(inplace=True)\n",
+    "test_drop.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[]                     2\n",
+       "1256719851021897728    2\n",
+       "1256720281038716928    2\n",
+       "1256716917659906050    2\n",
+       "1256720164449468416    2\n",
+       "                      ..\n",
+       "1258825216035188737    1\n",
+       "1256329153134989313    1\n",
+       "1258539046386589698    1\n",
+       "1257656889011249152    1\n",
+       "1257786716036964356    1\n",
+       "Name: id, Length: 144036, dtype: int64"
+      ]
+     },
+     "execution_count": 151,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.id.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(144036, 17)"
+      ]
+     },
+     "execution_count": 157,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop = test_drop.drop_duplicates(subset='id')\n",
+    "test_drop.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01      9749\n",
+       "2020-05-02     12238\n",
+       "2020-05-03      9125\n",
+       "2020-05-04      9646\n",
+       "2020-05-05      9520\n",
+       "2020-05-06      9514\n",
+       "2020-05-07      9563\n",
+       "2020-05-08      9503\n",
+       "2020-05-09      9354\n",
+       "2020-05-10      8967\n",
+       "2020-05-11      9163\n",
+       "2020-05-12      9334\n",
+       "2020-05-13      9457\n",
+       "2020-05-14      9469\n",
+       "2020-05-15      9433\n",
+       "Stat Butler        1\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.groupby('date').tweet.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01    5933\n",
+       "2020-05-02    6192\n",
+       "2020-05-03    5888\n",
+       "2020-05-04    6076\n",
+       "2020-05-05    5939\n",
+       "2020-05-06    5788\n",
+       "2020-05-07    5762\n",
+       "2020-05-08    5457\n",
+       "2020-05-09    5738\n",
+       "2020-05-10    5468\n",
+       "2020-05-11    5676\n",
+       "2020-05-12    5599\n",
+       "2020-05-13    5783\n",
+       "2020-05-14    5613\n",
+       "2020-05-15    5810\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "\n",
+    "test_drop[test_drop.tweet.str.contains(filt)].groupby('date').tweet.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(75000, 15)"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k = test_drop[test_drop.tweet.str.contains(filt)].groupby('date').head(5000)\n",
+    "test_5k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01    5000\n",
+       "2020-05-02    5000\n",
+       "2020-05-03    5000\n",
+       "2020-05-04    5000\n",
+       "2020-05-05    5000\n",
+       "2020-05-06    5000\n",
+       "2020-05-07    5000\n",
+       "2020-05-08    5000\n",
+       "2020-05-09    5000\n",
+       "2020-05-10    5000\n",
+       "2020-05-11    5000\n",
+       "2020-05-12    5000\n",
+       "2020-05-13    5000\n",
+       "2020-05-14    5000\n",
+       "2020-05-15    5000\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 181,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k.groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 208,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_5k.to_csv('Datasets/5k_may_1_15_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.639668e+08</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>8.397868e+08</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.210424e+18</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
+       "      <td>3.932328e+07</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.284107e+09</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     id      conversation_id     created_at        date  \\\n",
+       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "4   Coronavirus-Did the US just supply a million f...   \n",
+       "22  Absolutely. Most successful countries address ...   \n",
+       "23  Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24  Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26  I only sneak out every 4 days or so for grocer...   \n",
+       "\n",
+       "                                             hashtags       user_id  \\\n",
+       "4                                                  []  2.639668e+08   \n",
+       "22           ['#coronavirus', '#covid__19', '#masks']  8.397868e+08   \n",
+       "23                                                 []  1.210424e+18   \n",
+       "24  ['#covid__19', '#mask', '#wearamask', '#hack',...  3.932328e+07   \n",
+       "26                                                 []  2.284107e+09   \n",
+       "\n",
+       "           username                name  \\\n",
+       "4    modernactivism     Modern Activism   \n",
+       "22   RealRandyCohen               ARJAY   \n",
+       "23  RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24     themamamaven  Nancy Johnson Horn   \n",
+       "26         NolandTt          Tom Noland   \n",
+       "\n",
+       "                                                 link  retweet  nlikes  \\\n",
+       "4   https://twitter.com/modernactivism/status/1256...    False     0.0   \n",
+       "22  https://twitter.com/RealRandyCohen/status/1256...    False     0.0   \n",
+       "23  https://twitter.com/RSRINIVASABABU1/status/125...    False     0.0   \n",
+       "24  https://twitter.com/themamamaven/status/125637...    False    10.0   \n",
+       "26  https://twitter.com/NolandTt/status/1256372709...    False     1.0   \n",
+       "\n",
+       "    nreplies  nretweets                                           reply_to  \n",
+       "4        0.0        0.0  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22       0.0        0.0  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23       0.0        0.0  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24       1.0        9.0  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26       0.0        0.0  [{'user_id': '2284107283', 'username': 'Noland...  "
+      ]
+     },
+     "execution_count": 209,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may1 = pd.read_csv('Datasets/5k_may_1_15_tweets.csv', index_col=0)\n",
+    "may1.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1261808631747657728</td>\n",
+       "      <td>1261808631747657728</td>\n",
+       "      <td>1589673595000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>Yes - but only for \"crooks who hide their face...</td>\n",
+       "      <td>['#facemasks', '#crime', '#masks', '#ccpvirus'...</td>\n",
+       "      <td>7.905461e+08</td>\n",
+       "      <td>AlanTonelson</td>\n",
+       "      <td>(((Alan Tonelson)))</td>\n",
+       "      <td>https://twitter.com/AlanTonelson/status/126180...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[{'user_id': '790546093', 'username': 'AlanTon...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1261808527766695941</td>\n",
+       "      <td>1261808527766695941</td>\n",
+       "      <td>1589673570000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>12 more deaths, 12 more hospitalizations. \\n\\n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.033256e+07</td>\n",
+       "      <td>deanbarker</td>\n",
+       "      <td>Dean Barker</td>\n",
+       "      <td>https://twitter.com/deanbarker/status/12618085...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '20332563', 'username': 'deanbark...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1261808522284748805</td>\n",
+       "      <td>1261808522284748805</td>\n",
+       "      <td>1589673569000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>After the fight with Corona Virus,the next fig...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.173606e+18</td>\n",
+       "      <td>gyaigyiimi</td>\n",
+       "      <td>Sb Orlando🇬🇭😊💉</td>\n",
+       "      <td>https://twitter.com/gyaigyiimi/status/12618085...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>[{'user_id': '1173605836725379074', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1261808482380058624</td>\n",
+       "      <td>1261808482380058624</td>\n",
+       "      <td>1589673560000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>rude of coronavirus to ruin mask fetishes for ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.229881e+18</td>\n",
+       "      <td>eliszabethmoss</td>\n",
+       "      <td>ms moss says viva la revolution</td>\n",
+       "      <td>https://twitter.com/eliszabethmoss/status/1261...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '1229881477518778369', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1261808398120747008</td>\n",
+       "      <td>1261808398120747008</td>\n",
+       "      <td>1589673540000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>Face Masks Fashion &amp; Health Care. \\n\\nNow I st...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5.594146e+08</td>\n",
+       "      <td>dawoodfarsi</td>\n",
+       "      <td>dawood al-farsi | داود الفارسي</td>\n",
+       "      <td>https://twitter.com/dawoodfarsi/status/1261808...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '559414580', 'username': 'dawoodf...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     id      conversation_id     created_at        date  \\\n",
+       "20  1261808631747657728  1261808631747657728  1589673595000  2020-05-16   \n",
+       "21  1261808527766695941  1261808527766695941  1589673570000  2020-05-16   \n",
+       "22  1261808522284748805  1261808522284748805  1589673569000  2020-05-16   \n",
+       "23  1261808482380058624  1261808482380058624  1589673560000  2020-05-16   \n",
+       "24  1261808398120747008  1261808398120747008  1589673540000  2020-05-16   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "20  Yes - but only for \"crooks who hide their face...   \n",
+       "21  12 more deaths, 12 more hospitalizations. \\n\\n...   \n",
+       "22  After the fight with Corona Virus,the next fig...   \n",
+       "23  rude of coronavirus to ruin mask fetishes for ...   \n",
+       "24  Face Masks Fashion & Health Care. \\n\\nNow I st...   \n",
+       "\n",
+       "                                             hashtags       user_id  \\\n",
+       "20  ['#facemasks', '#crime', '#masks', '#ccpvirus'...  7.905461e+08   \n",
+       "21                                                 []  2.033256e+07   \n",
+       "22                                                 []  1.173606e+18   \n",
+       "23                                                 []  1.229881e+18   \n",
+       "24                                                 []  5.594146e+08   \n",
+       "\n",
+       "          username                             name  \\\n",
+       "20    AlanTonelson              (((Alan Tonelson)))   \n",
+       "21      deanbarker                      Dean Barker   \n",
+       "22      gyaigyiimi                   Sb Orlando🇬🇭😊💉   \n",
+       "23  eliszabethmoss  ms moss says viva la revolution   \n",
+       "24     dawoodfarsi   dawood al-farsi | داود الفارسي   \n",
+       "\n",
+       "                                                 link  retweet  nlikes  \\\n",
+       "20  https://twitter.com/AlanTonelson/status/126180...    False     0.0   \n",
+       "21  https://twitter.com/deanbarker/status/12618085...    False     2.0   \n",
+       "22  https://twitter.com/gyaigyiimi/status/12618085...    False    43.0   \n",
+       "23  https://twitter.com/eliszabethmoss/status/1261...    False     2.0   \n",
+       "24  https://twitter.com/dawoodfarsi/status/1261808...    False     1.0   \n",
+       "\n",
+       "    nreplies  nretweets                                           reply_to  \n",
+       "20       0.0        1.0  [{'user_id': '790546093', 'username': 'AlanTon...  \n",
+       "21       0.0        0.0  [{'user_id': '20332563', 'username': 'deanbark...  \n",
+       "22       1.0       10.0  [{'user_id': '1173605836725379074', 'username'...  \n",
+       "23       0.0        0.0  [{'user_id': '1229881477518778369', 'username'...  \n",
+       "24       1.0        0.0  [{'user_id': '559414580', 'username': 'dawoodf...  "
+      ]
+     },
+     "execution_count": 210,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may2 = pd.read_csv('Datasets/5k_may_16_31_tweets.csv', index_col=0)\n",
+    "may2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(75000, 15)\n",
+      "(80000, 15)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(may1.shape)\n",
+    "print(may2.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 212,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(155000, 15)"
+      ]
+     },
+     "execution_count": 212,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may = pd.concat([may1, may2])\n",
+    "may.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 214,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "may.to_csv('Datasets/5k_may_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Loading csvs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
+    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
+    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
+    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
+    "months = [jan, feb, mar, apr, may]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 234,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.concat(months)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Obtaining target variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 235,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    df.sentiment_score > .05,\n",
+    "    df.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 334,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(575949, 20)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 257,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.reset_index(drop=True, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 295,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>sentiment_score</th>\n",
+       "      <th>sentiment</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
+       "      <td>-0.8176</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
+       "      <td>-0.8905</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
+       "      <td>0.6705</td>\n",
+       "      <td>positive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
+       "      <td>-0.7783</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
+       "      <td>-0.2960</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at       date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
+       "\n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  retweet  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+       "\n",
+       "   nlikes  nreplies  nretweets  \\\n",
+       "0     1.0       0.0        1.0   \n",
+       "1     0.0       0.0        0.0   \n",
+       "2     1.0       1.0        1.0   \n",
+       "3     0.0       0.0        0.0   \n",
+       "4     1.0       0.0        1.0   \n",
+       "\n",
+       "                                                    quote_url  retweet_id  \\\n",
+       "0                                                         NaN         NaN   \n",
+       "1                                                         NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+       "3                                                         NaN         NaN   \n",
+       "4                                                         NaN         NaN   \n",
+       "\n",
+       "                                                                                                                                                reply_to  \\\n",
+       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
+       "\n",
+       "   sentiment_score sentiment  \n",
+       "0          -0.8176  negative  \n",
+       "1          -0.8905  negative  \n",
+       "2           0.6705  positive  \n",
+       "3          -0.7783  negative  \n",
+       "4          -0.2960  negative  "
+      ]
+     },
+     "execution_count": 295,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 19)"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['date'] = df.date.astype('datetime64[ns]')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 19)"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA/Feature Engineering"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    18052\n",
+       "neutral      8223\n",
+       "positive    21355\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.nlikes > 10].groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    105452\n",
+       "neutral      49210\n",
+       "positive    121327\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.nlikes > 0].groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    221363\n",
+       "neutral     115386\n",
+       "positive    239200\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Timestamp('2020-01-01 00:00:00')"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.date[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1\n",
+       "1    1\n",
+       "2    1\n",
+       "3    1\n",
+       "4    1\n",
+       "Name: month, dtype: int64"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['month'] = df.date.apply(lambda x: x.month)\n",
+    "df['month'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    575949.000000\n",
+       "mean          0.017756\n",
+       "std           0.505938\n",
+       "min          -0.998400\n",
+       "25%          -0.381800\n",
+       "50%           0.000000\n",
+       "75%           0.440400\n",
+       "max           0.999600\n",
+       "Name: sentiment_score, dtype: float64"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sentiment_score.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>sentiment</th>\n",
+       "      <th>negative</th>\n",
+       "      <th>neutral</th>\n",
+       "      <th>positive</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.054945</td>\n",
+       "      <td>0.252747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>0.566879</td>\n",
+       "      <td>0.089172</td>\n",
+       "      <td>0.343949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.602564</td>\n",
+       "      <td>0.108974</td>\n",
+       "      <td>0.288462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.587097</td>\n",
+       "      <td>0.083871</td>\n",
+       "      <td>0.329032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.097701</td>\n",
+       "      <td>0.402299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>0.425400</td>\n",
+       "      <td>0.180400</td>\n",
+       "      <td>0.394200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>0.421400</td>\n",
+       "      <td>0.177800</td>\n",
+       "      <td>0.400800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>0.395200</td>\n",
+       "      <td>0.148600</td>\n",
+       "      <td>0.456200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>0.431400</td>\n",
+       "      <td>0.149000</td>\n",
+       "      <td>0.419600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>0.431200</td>\n",
+       "      <td>0.141600</td>\n",
+       "      <td>0.427200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>152 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "sentiment   negative   neutral  positive\n",
+       "date                                    \n",
+       "2020-01-01  0.692308  0.054945  0.252747\n",
+       "2020-01-02  0.566879  0.089172  0.343949\n",
+       "2020-01-03  0.602564  0.108974  0.288462\n",
+       "2020-01-04  0.587097  0.083871  0.329032\n",
+       "2020-01-05  0.500000  0.097701  0.402299\n",
+       "...              ...       ...       ...\n",
+       "2020-05-27  0.425400  0.180400  0.394200\n",
+       "2020-05-28  0.421400  0.177800  0.400800\n",
+       "2020-05-29  0.395200  0.148600  0.456200\n",
+       "2020-05-30  0.431400  0.149000  0.419600\n",
+       "2020-05-31  0.431200  0.141600  0.427200\n",
+       "\n",
+       "[152 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts().unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>sentiment</th>\n",
+       "      <th>negative</th>\n",
+       "      <th>neutral</th>\n",
+       "      <th>positive</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.054945</td>\n",
+       "      <td>0.252747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>0.566879</td>\n",
+       "      <td>0.089172</td>\n",
+       "      <td>0.343949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.602564</td>\n",
+       "      <td>0.108974</td>\n",
+       "      <td>0.288462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.587097</td>\n",
+       "      <td>0.083871</td>\n",
+       "      <td>0.329032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.097701</td>\n",
+       "      <td>0.402299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>0.425400</td>\n",
+       "      <td>0.180400</td>\n",
+       "      <td>0.394200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>0.421400</td>\n",
+       "      <td>0.177800</td>\n",
+       "      <td>0.400800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>0.395200</td>\n",
+       "      <td>0.148600</td>\n",
+       "      <td>0.456200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>0.431400</td>\n",
+       "      <td>0.149000</td>\n",
+       "      <td>0.419600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>0.431200</td>\n",
+       "      <td>0.141600</td>\n",
+       "      <td>0.427200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>152 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "sentiment   negative   neutral  positive\n",
+       "date                                    \n",
+       "2020-01-01  0.692308  0.054945  0.252747\n",
+       "2020-01-02  0.566879  0.089172  0.343949\n",
+       "2020-01-03  0.602564  0.108974  0.288462\n",
+       "2020-01-04  0.587097  0.083871  0.329032\n",
+       "2020-01-05  0.500000  0.097701  0.402299\n",
+       "...              ...       ...       ...\n",
+       "2020-05-27  0.425400  0.180400  0.394200\n",
+       "2020-05-28  0.421400  0.177800  0.400800\n",
+       "2020-05-29  0.395200  0.148600  0.456200\n",
+       "2020-05-30  0.431400  0.149000  0.419600\n",
+       "2020-05-31  0.431200  0.141600  0.427200\n",
+       "\n",
+       "[152 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words = stopwords.words('english')\n",
+    "stop_words += ['mask', '#mask',\n",
+    "               'masks', '#masks',\n",
+    "               'face', '#face',\n",
+    "               'facemask', '#facemask',\n",
+    "               'facemasks', '#facemasks', \n",
+    "               'covid', '#covid',\n",
+    "               'covid19', '#covid19',\n",
+    "               'corona', '#corona',\n",
+    "               'coronavirus', '#coronavirus',\n",
+    "               'rona', '#rona',\n",
+    "               'virus', '#virus',\n",
+    "               'viral', '#viral',\n",
+    "               'viruses', '#viruses']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply text cleaning techniques\n",
+    "def clean_text(text, stop_words):\n",
+    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
+    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
+    "    remove stop words.'''\n",
+    "    \n",
+    "    # make text lowercase\n",
+    "    text = text.lower() \n",
+    "    \n",
+    "    # remove mentions\n",
+    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
+    "    \n",
+    "    # remove links\n",
+    "    text = re.sub(r'http\\S+', '', text) \n",
+    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
+    "    \n",
+    "    # convert emoticons\n",
+    "    emoticons = load_dict_emoticons()\n",
+    "    words = text.split()\n",
+    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
+    "    tweet = ' '.join(words_edit)\n",
+    "\n",
+    "    # convert emojis\n",
+    "    text = emoji.demojize(text)\n",
+    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
+    "    \n",
+    "    # remove punctuation\n",
+    "    text = text.replace('...', ' ') # special cases\n",
+    "    text = text.replace('-', ' ')\n",
+    "    text = text.translate(str.maketrans('', '', '!\"$%&*()+,./;<=>?@[\\\\]^_`{|}~')) \n",
+    "    \n",
+    "    # tokenize words\n",
+    "    tokenizer = RegexpTokenizer(\"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    \n",
+    "    # convert contractions\n",
+    "    contractions = load_dict_contractions()\n",
+    "    words = text.split()\n",
+    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
+    "    text = ' '.join(words_edit)\n",
+    "\n",
+    "    # remove stop words\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    words = [word for word in words if word not in stop_words]\n",
+    "    text = ' '.join(words)\n",
+    "    \n",
+    "    return text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 6min 19s, sys: 2.16 s, total: 6min 21s\n",
+      "Wall time: 6min 24s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0                                                                                                                  death thomas unknown peasant died river\n",
+       "1                                                    ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
+       "2    know joke #ccpchina comes epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst us already dear fellow #hker...\n",
+       "3                                                                                                                            thought death gave horn freak\n",
+       "4                                                      interesting cult death wearing thinkingface electronically posing cia brennan chief facewithmonocle\n",
+       "5    see doctor stuff know war increased quality medical care hospitals start admitting patients even chemical attack doctor rushes spot gives intervie...\n",
+       "6                                                                     plague doctorgas combination sicknesspoison stuff good combination especially coming\n",
+       "7    thoughts cost nothing prayers half unlike costs firefighting equipment like hoses trucks aircraft least thoughts throwing prayers threaten preciou...\n",
+       "8                                                          killed mine miraceibel rosa death counted mining fatality record keeping deaths linked industry\n",
+       "9    also feel like scene phil another pointless addition particularly commenting ben deliberately chosen someone could clown engaged ben knew martin w...\n",
+       "Name: clean_tweet, dtype: object"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%time df['clean_tweet'] = df['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
+    "clean_tweets = df['clean_tweet']\n",
+    "clean_tweets.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "clean_tweets.to_pickle('Datasets/clean_tweets.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clean_tweets.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clean_tweets = pd.read_pickle('Datasets/clean_tweets.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pattern = \"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\"\n",
+    "tokenizer = RegexpTokenizer(pattern)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>#a</th>\n",
+       "      <th>#a4</th>\n",
+       "      <th>#aa</th>\n",
+       "      <th>#aajtak</th>\n",
+       "      <th>#aapi</th>\n",
+       "      <th>#aarogyasetu</th>\n",
+       "      <th>#aarogyasetuapp</th>\n",
+       "      <th>#aarp</th>\n",
+       "      <th>#aatmanirbharbharat</th>\n",
+       "      <th>#ab</th>\n",
+       "      <th>...</th>\n",
+       "      <th>zsasz</th>\n",
+       "      <th>zucker</th>\n",
+       "      <th>zuckerberg</th>\n",
+       "      <th>zuma</th>\n",
+       "      <th>zurich</th>\n",
+       "      <th>zuzana</th>\n",
+       "      <th>zweli</th>\n",
+       "      <th>zy</th>\n",
+       "      <th>zyada</th>\n",
+       "      <th>zzz</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 46067 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   #a  #a4  #aa  #aajtak  #aapi  #aarogyasetu  #aarogyasetuapp  #aarp  \\\n",
+       "0   0    0    0        0      0             0                0      0   \n",
+       "1   0    0    0        0      0             0                0      0   \n",
+       "2   0    0    0        0      0             0                0      0   \n",
+       "3   0    0    0        0      0             0                0      0   \n",
+       "4   0    0    0        0      0             0                0      0   \n",
+       "\n",
+       "   #aatmanirbharbharat  #ab  ...  zsasz  zucker  zuckerberg  zuma  zurich  \\\n",
+       "0                    0    0  ...      0       0           0     0       0   \n",
+       "1                    0    0  ...      0       0           0     0       0   \n",
+       "2                    0    0  ...      0       0           0     0       0   \n",
+       "3                    0    0  ...      0       0           0     0       0   \n",
+       "4                    0    0  ...      0       0           0     0       0   \n",
+       "\n",
+       "   zuzana  zweli  zy  zyada  zzz  \n",
+       "0       0      0   0      0    0  \n",
+       "1       0      0   0      0    0  \n",
+       "2       0      0   0      0    0  \n",
+       "3       0      0   0      0    0  \n",
+       "4       0      0   0      0    0  \n",
+       "\n",
+       "[5 rows x 46067 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer(min_df=5, token_pattern=pattern)\n",
+    "data_cv = cv.fit_transform(clean_tweets)\n",
+    "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_vec.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 46067)"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_vec.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's pickle it for later use\n",
+    "data_vec.to_pickle(\"Datasets/vec.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_vec = pd.read_pickle(\"Datasets/vec.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_vec.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-8-13cd52f9105f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtop_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mtop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mascending\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mtop_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2771\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2772\u001b[0m             \u001b[0;31m# shortcut if the key is in columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2773\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2774\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2775\u001b[0m                     \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "# Find the top 30 words said by each comedian\n",
+    "top_dict = {}\n",
+    "for c in test.columns:\n",
+    "    top = test[c].sort_values(ascending=False).head(30)\n",
+    "    top_dict[c]= list(zip(top.index, top.values))\n",
+    "\n",
+    "top_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Look at the most common top words --> add them to the stop word list\n",
+    "from collections import Counter\n",
+    "\n",
+    "# Let's first pull out the top 30 words for each comedian\n",
+    "words = []\n",
+    "for comedian in test.columns:\n",
+    "    top = [word for (word, count) in top_dict[comedian]]\n",
+    "    for t in top:\n",
+    "        words.append(t)\n",
+    "        \n",
+    "words"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 256,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    2020-01-01\n",
+       "0    2020-02-01\n",
+       "0    2020-03-01\n",
+       "0    2020-04-01\n",
+       "Name: date, dtype: object"
+      ]
+     },
+     "execution_count": 256,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['date'][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>155000.000000</td>\n",
+       "      <td>155000.000000</td>\n",
+       "      <td>155000.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>14.591948</td>\n",
+       "      <td>1.282916</td>\n",
+       "      <td>4.496426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>1108.467257</td>\n",
+       "      <td>33.923692</td>\n",
+       "      <td>338.266606</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>349204.000000</td>\n",
+       "      <td>7955.000000</td>\n",
+       "      <td>121056.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              nlikes       nreplies      nretweets\n",
+       "count  155000.000000  155000.000000  155000.000000\n",
+       "mean       14.591948       1.282916       4.496426\n",
+       "std      1108.467257      33.923692     338.266606\n",
+       "min         0.000000       0.000000       0.000000\n",
+       "25%         0.000000       0.000000       0.000000\n",
+       "50%         0.000000       0.000000       0.000000\n",
+       "75%         2.000000       1.000000       0.000000\n",
+       "max    349204.000000    7955.000000  121056.000000"
+      ]
+     },
+     "execution_count": 221,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may[['nlikes','nreplies','nretweets']].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 10)"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "      <th>pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity pos  \n",
+       "0      0.288889  NN  \n",
+       "1      0.425000  NN  \n",
+       "2      0.000000  VB  \n",
+       "3      0.000000  NN  \n",
+       "4      0.648409  VB  "
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "NN     0.541166\n",
+       "NNS    0.384220\n",
+       "JJ     0.027616\n",
+       "VB     0.022642\n",
+       "VBZ    0.007547\n",
+       "VBP    0.004974\n",
+       "VBN    0.003602\n",
+       "VBD    0.002916\n",
+       "NNP    0.001715\n",
+       "SYM    0.000858\n",
+       "VBG    0.000686\n",
+       "FW     0.000686\n",
+       "RB     0.000515\n",
+       "PRP    0.000343\n",
+       "IN     0.000343\n",
+       "JJR    0.000172\n",
+       "Name: pos, dtype: float64"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.pos.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 231,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1. Get a wrist brace for the carpal tunnel\n",
+      "2. Take a pill for the prostate\n",
+      "3. Get breathe rite strips\n",
+      "4. Get wife apnea mask\n",
+      "5. Take cover until november than vote the orange man out.\n",
+      "Lil bruh said fuck it mask off\n",
+      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "\"fuck it, mask off\"\n",
+      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
+      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
+      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
+      "\n",
+      "Don't spread fake news, thanks. \n",
+      "People is already scared...\n",
+      "Pop smoke dior\n",
+      "Drake war\n",
+      "Futur mask off\n",
+      "fuck it mask off\n",
+      "Fuck it mask off\n",
+      "They really just said \"fuck it mask off\"\n",
+      "Only fck wit rich niggas fck it mask off\n",
+      "Mask on 😷😷\n",
+      "Fuck it mask off 😶😶 type shit\n",
+      "Never gonna stop, give it up, such dirty hands\n",
+      "I always mask it up, for the touch of the dumber kind\n",
+      "My, my, my, aye-aye, whoa!\n",
+      "M-m-m-my carona\n",
+      "fuck it mask off\n",
+      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
+      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 288,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0      spongebob slides sand mountain tree oxygen mask\n",
+       "1    started freshly washed bed sheets face mask be...\n",
+       "2    using coverage yellow card mask fact team lost...\n",
+       "3                                                 mask\n",
+       "4    know mean depressed mask pain let others happy...\n",
+       "5    daughter sick nasty cough weeks ignores advice...\n",
+       "6    grinningcatface pencil aside butt masks yes ex...\n",
+       "7    energy something else post pics generic lookin...\n",
+       "8                      kind mask much one different us\n",
+       "9    market moved given detox scalp mask since prom...\n",
+       "Name: clean_tweet, dtype: object"
+      ]
+     },
+     "execution_count": 288,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
+    "masks_cleaned = masks['clean_tweet']\n",
+    "masks_cleaned.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 290,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 15034 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
+       "0   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
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+       "4   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "\n",
+       "   zorro  zosakonc  zpacks  zsasz  zthickness  zuckerberg  zuko  zurich  \\\n",
+       "0      0         0       0      0           0           0     0       0   \n",
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+       "3      0         0       0      0           0           0     0       0   \n",
+       "4      0         0       0      0           0           0     0       0   \n",
+       "\n",
+       "   zvanetsa  \n",
+       "0         0  \n",
+       "1         0  \n",
+       "2         0  \n",
+       "3         0  \n",
+       "4         0  \n",
+       "\n",
+       "[5 rows x 15034 columns]"
+      ]
+     },
+     "execution_count": 290,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks_cleaned)\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 292,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 294,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
+       " (1,\n",
+       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
+       " (2,\n",
+       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
+       " (3,\n",
+       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
+       " (4,\n",
+       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
+      ]
+     },
+     "execution_count": 294,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>263966773</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>839786785</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1210423564052004865</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
+       "      <td>39323281</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2284107283</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50377</th>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1588690216000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
+       "      <td>['#coronavirus']</td>\n",
+       "      <td>43413162</td>\n",
+       "      <td>ThirstiesInc</td>\n",
+       "      <td>Thirsties Inc</td>\n",
+       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50379</th>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1588690206000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>As President Trump attempts to project an imag...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>14915067</td>\n",
+       "      <td>witfnews</td>\n",
+       "      <td>WITF news</td>\n",
+       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50381</th>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1588690203000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
+       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
+       "      <td>218949823</td>\n",
+       "      <td>Hellacort</td>\n",
+       "      <td>David Hilycord</td>\n",
+       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50382</th>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1588690198000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>146037421</td>\n",
+       "      <td>briandordevic</td>\n",
+       "      <td>Brian Dordevic 📲📷📈</td>\n",
+       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50383</th>\n",
+       "      <td>1257683935116627968</td>\n",
+       "      <td>1257619031588319234</td>\n",
+       "      <td>1588690191000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>757353589966827522</td>\n",
+       "      <td>HRH_LUCY_NL</td>\n",
+       "      <td>HRH Princess Lucy</td>\n",
+       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>25000 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id      conversation_id     created_at        date  \\\n",
+       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "...                    ...                  ...            ...         ...   \n",
+       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
+       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
+       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
+       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
+       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
+       "\n",
+       "                                                   tweet  \\\n",
+       "4      Coronavirus-Did the US just supply a million f...   \n",
+       "22     Absolutely. Most successful countries address ...   \n",
+       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26     I only sneak out every 4 days or so for grocer...   \n",
+       "...                                                  ...   \n",
+       "50377  \"Clutches have been awesome during #coronaviru...   \n",
+       "50379  As President Trump attempts to project an imag...   \n",
+       "50381  Coronavirus, face masks and America's new faul...   \n",
+       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
+       "50383  @Koning_NL It appears, still the only people w...   \n",
+       "\n",
+       "                                                hashtags              user_id  \\\n",
+       "4                                                     []            263966773   \n",
+       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
+       "23                                                    []  1210423564052004865   \n",
+       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
+       "26                                                    []           2284107283   \n",
+       "...                                                  ...                  ...   \n",
+       "50377                                   ['#coronavirus']             43413162   \n",
+       "50379                                                 []             14915067   \n",
+       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
+       "50382                                                 []            146037421   \n",
+       "50383                                                 []   757353589966827522   \n",
+       "\n",
+       "              username                name  \\\n",
+       "4       modernactivism     Modern Activism   \n",
+       "22      RealRandyCohen               ARJAY   \n",
+       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24        themamamaven  Nancy Johnson Horn   \n",
+       "26            NolandTt          Tom Noland   \n",
+       "...                ...                 ...   \n",
+       "50377     ThirstiesInc       Thirsties Inc   \n",
+       "50379         witfnews           WITF news   \n",
+       "50381        Hellacort      David Hilycord   \n",
+       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
+       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
+       "\n",
+       "                                                    link  retweet  nlikes  \\\n",
+       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
+       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
+       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
+       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
+       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
+       "...                                                  ...      ...     ...   \n",
+       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
+       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
+       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
+       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
+       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
+       "\n",
+       "       nreplies  nretweets                                          quote_url  \\\n",
+       "4             0          0                                                NaN   \n",
+       "22            0          0                                                NaN   \n",
+       "23            0          0                                                NaN   \n",
+       "24            1          9                                                NaN   \n",
+       "26            0          0                                                NaN   \n",
+       "...         ...        ...                                                ...   \n",
+       "50377         0          0                                                NaN   \n",
+       "50379         0          0                                                NaN   \n",
+       "50381         1          8                                                NaN   \n",
+       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
+       "50383         0          0                                                NaN   \n",
+       "\n",
+       "       retweet_id                                           reply_to  \n",
+       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
+       "...           ...                                                ...  \n",
+       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
+       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
+       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
+       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
+       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
+       "\n",
+       "[25000 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
+     ]
+    }
+   ],
+   "source": [
+    "test.groupby('date').tweet.str.contains('corona').value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
+      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
+      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
+      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
+      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
+      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
+      "Now that there is an ease on Lagos lockdown.\n",
+      "\n",
+      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
+      "\n",
+      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
+      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
+      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
+      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
+      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
+      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
+      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
+      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
+      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
+      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
+      "\n",
+      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
+      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
+      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
+      "\n",
+      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
+      "God the inside of the eye looks like a fuckin rubber mask\n",
+      "mask: on\n",
+      "me: horny \n",
+      "@breanna_gar i’m GEEEEKING rn 😂\n",
+      "Talk about the face mask 😹😹😹\n",
+      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
+      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
+      "\n",
+      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
+      "\n",
+      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
+      "@MayorBowser @GovernorVA\n",
+      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
+      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
+      "oh well lol no mask here either .. ever... \n",
+      "\n",
+      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
+      "Grateful that my neighborhood smells really really good even through a mask\n",
+      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
+      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
+      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
+      "NOW they care? Typical Republican behavior:\n",
+      "Against govnt assistance, until they lose their job.\n",
+      "Against federal aid, until that hurricane hits.\n",
+      "Against womens' right to choose, until someone makes them wear a mask.\n",
+      "#VoteBlueToCleanUpThisCrapAgain\n",
+      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
+      "\n",
+      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
+      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
+      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
+      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
+      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
+      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
+      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
+      "I am just glad the mask covers up her but ugly face.\n",
+      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
+      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
+      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
+      "When will it sink in? This is deadly serious.\n",
+      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
+      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
+      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
+      "Another fake video? Nobody is wearing face mask thou🤔\n",
+      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
+      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
+      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
+      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
+      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in test.tweet[50:100]:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
+       "1  Ready to heard this? Homemade hair treatment a...   \n",
+       "2  We all know what a joke #CCPChina is when it c...   \n",
+       "3        Thought death masks gave you the horn freak   \n",
+       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name                                               link  \\\n",
+       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
+       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
+       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
+       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
+       "\n",
+       "   retweet  nlikes  nreplies  nretweets  \\\n",
+       "0    False     1.0       0.0        1.0   \n",
+       "1    False     0.0       0.0        0.0   \n",
+       "2    False     1.0       1.0        1.0   \n",
+       "3    False     0.0       0.0        0.0   \n",
+       "4    False     1.0       0.0        1.0   \n",
+       "\n",
+       "                                           quote_url  retweet_id  \\\n",
+       "0                                                NaN         NaN   \n",
+       "1                                                NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
+       "3                                                NaN         NaN   \n",
+       "4                                                NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '843195118924546048', 'username':...  \n",
+       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
+       "2  [{'user_id': '963032516759207936', 'username':...  \n",
+       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]['compound']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.000757438644754942"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    masks.sentiment_score > .05,\n",
+    "    masks.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    17100\n",
+       "positive    16882\n",
+       "neutral      7457\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.221553e+09</td>\n",
+       "      <td>chong_wh96</td>\n",
+       "      <td>Chong_wH</td>\n",
+       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.075768e+09</td>\n",
+       "      <td>Yamanik30</td>\n",
+       "      <td>ACAB</td>\n",
+       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.156025e+09</td>\n",
+       "      <td>JaceLucena</td>\n",
+       "      <td>katka</td>\n",
+       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.583843e+07</td>\n",
+       "      <td>nyman11209</td>\n",
+       "      <td>Hobonator</td>\n",
+       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
+       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
+       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
+       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
+       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
+       "\n",
+       "        username       name  \\\n",
+       "0     chong_wh96   Chong_wH   \n",
+       "1      Yamanik30       ACAB   \n",
+       "2  Harry31348302      Harry   \n",
+       "3     JaceLucena      katka   \n",
+       "4     nyman11209  Hobonator   \n",
+       "\n",
+       "                                                link retweet  nlikes  \\\n",
+       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
+       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
+       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
+       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
+       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
+       "\n",
+       "   nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0       0.0        0.0       NaN         NaN   \n",
+       "1       0.0        0.0       NaN         NaN   \n",
+       "2       0.0        0.0       NaN         NaN   \n",
+       "3       0.0        1.0       NaN         NaN   \n",
+       "4       0.0        0.0       NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
+       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
+       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "masks2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks2.sentiment_score > .05,\n",
+    "    masks2.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    38152\n",
+       "positive    31819\n",
+       "neutral     14237\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.03440293915067452"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    }
+   ],
+   "source": [
+    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks3.sentiment_score > .05,\n",
+    "    masks3.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    34682\n",
+       "positive    32128\n",
+       "neutral     13190\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.013039305000000001"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 The new police issue masks might not prevent covid19 identifying them as human.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "1 Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "2 … I guess Nancy can put in masks for everyone in her coronavirus funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "3 Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "4 Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
+      "\n",
+      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "5 all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "6 Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
+      "\n",
+      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "7 This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
+      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "8 I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "9 Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "10 I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "11 From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "12 Cara mengingat pencegahan virus\n",
+      " W-U-H-A-N:\n",
+      "\n",
+      "Bahasa Inggris*\n",
+      "\n",
+      "*W* - wash hands\n",
+      "*U* - use mask properly\n",
+      "*H* - have temperature checked regularly\n",
+      "*A* - avoid large crowds\n",
+      "*N* - never touch your face with unclean hands\n",
+      "\n",
+      "#CoronaVirusIndonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "13 Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "14 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "15 Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
+      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "16 I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "17 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "18 #coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "19 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "20 Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "21 Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "22 trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
+      "\n",
+      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "23 \"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "24 So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
+      "\n",
+      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
+      "\n",
+      "#CoronaVirusUpdate \n",
+      "@TheUnhingedOne_\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "25 Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "26 It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "27 99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
+      "\n",
+      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "28 No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "29 The Coronavirus is freaking me out. At least I got some masks. 😷\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "30 If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "31 Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "32 Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "33 the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "34 Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "35 😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "36 Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "37 How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "38 Current in demand items selling out in stores but available on Amazon: \n",
+      "Water  https://amzn.to/2vurRCi \n",
+      "Masks  https://amzn.to/2wT7M8X \n",
+      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
+      "ad \n",
+      "#coronavirus #coronavirusus #coronavirususa\n",
+      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
+      "#coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "39 It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "40 I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "41 N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "42 If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "43 There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "44 at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "45 No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
+      "\n",
+      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "46 The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "47 A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
+      "\n",
+      "Don’t give me , washing hands is better malarkey. \n",
+      "\n",
+      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
+      "\n",
+      "#coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "48 Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "49 I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i, tweet in enumerate(masks3['tweet'].head(50)):\n",
+    "    print(i, tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 207,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 new police issue might prevent identifying human\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "1 wear need go outside benefit using benefit much basic hygiene manners\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "2 guess nancy put everyone funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "3 washing hands disinfecting electronics save\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "4 americans worried need buy us surgeon general says\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "5 people worried start wearing guess made china facewithtearsofjoy\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "6 get toilet paper sanitizer paper towels tissues vodka next people waiting line hours stores open buy stuff going try luck costco today #japan #coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "7 webinar discuss research related long term respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register #emgtwitter\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "8 went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "9 yet wear worried leading charge\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "10 backed next gen pollution filtration botanicals\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "11 doctors talked apparently help effective hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "12 cara mengingat pencegahan w u h n bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands #coronavirusindonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "13 also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "14 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "15 since medical running stock try going environmentally friendly getting reusable\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "16 seeing glammed love #blackpeople going fly regardless #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "17 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "18 #nyc panic shopping brunch packed\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "19 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "20 living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "21 crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "22 trump empathy compassion care people die cares think poe red death mar lago hideaway wall country ravaged disease\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "23 ny panic shopping brunch packed kimiko de freytas tamura via nyt check contact us small business needs\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "24 stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy #coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "25 snapchat shoulda made filters irl could keep cute\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "26 moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "27 people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "28 need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "29 freaking least got facewithmedicalmask\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "30 need go see doctor example wear surgical protect others needed unwell go\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "31 okay celeb wearing met gala year saying fit inspired\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "32 seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "33 funniest part basic protect either lol requires n respirator\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "34 informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "35 facewithmedicalmask prevent experts say depends\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "36 wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "37 prepare washing hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "38 current demand items selling stores available amazon water hand sanitizer ad #coronavirusus #coronavirususa #sarscov19 #sarscov2 #china #wuhan #flu #coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "39 ironic say saying effective preventing infection\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "40 refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipeline deadline soon possible yea\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "41 n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "42 one doctors tells wear protect totally dysfunctional immune system going wear\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "43 babies flight today see one person huge airport media democrats worried\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "44 job home depot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "45 need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "46 authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "47 question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched #coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "48 damn surgical block incompetent send flood god\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "49 interested raising fears canada suggesting wear speculating financial impact canada #housing think slow hot housing markets usher correction markets #ldnont\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i, tweet in enumerate(masks3['cleaned_tweet'].head(50)):\n",
+    "    print(i, tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+      ],
+      "text/plain": [
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+       "\n",
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+       "\n",
+       "[5 rows x 56317 columns]"
+      ]
+     },
+     "execution_count": 113,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.018*\"hand\" + 0.013*\"sanitizer\" + 0.012*\"people\" + 0.008*\"get\" + 0.008*\"wear\" + 0.008*\"like\" + 0.007*\"gloves\" + 0.007*\"facewithmedicalmask\" + 0.007*\"paper\" + 0.006*\"got\"'),\n",
+       " (1,\n",
+       "  '0.015*\"hospital\" + 0.012*\"health\" + 0.011*\"staff\" + 0.010*\"patients\" + 0.010*\"care\" + 0.010*\"nurse\" + 0.006*\"new\" + 0.006*\"workers\" + 0.006*\"hospitals\" + 0.006*\"medical\"'),\n",
+       " (2,\n",
+       "  '0.023*\"us\" + 0.022*\"doctors\" + 0.022*\"gloves\" + 0.020*\"nurses\" + 0.019*\"china\" + 0.018*\"kits\" + 0.016*\"without\" + 0.015*\"test\" + 0.013*\"risk\" + 0.011*\"million\"'),\n",
+       " (3,\n",
+       "  '0.028*\"facewithtearsofjoy\" + 0.023*\"wearing\" + 0.021*\"gas\" + 0.013*\"man\" + 0.013*\"one\" + 0.011*\"wore\" + 0.009*\"house\" + 0.009*\"rollingonthefloorlaughing\" + 0.007*\"via\" + 0.006*\"gaetz\"'),\n",
+       " (4,\n",
+       "  '0.026*\"people\" + 0.021*\"wear\" + 0.020*\"wearing\" + 0.012*\"infected\" + 0.012*\"need\" + 0.011*\"protect\" + 0.010*\"get\" + 0.009*\"hands\" + 0.008*\"like\" + 0.008*\"sick\"')]"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity  \n",
+       "0      0.288889  \n",
+       "1      0.425000  \n",
+       "2      0.000000  \n",
+       "3      0.000000  \n",
+       "4      0.648409  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
+    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('ticks')\n",
+    "\n",
+    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 date  polarity  subjectivity\n",
+       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
+       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
+       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
+       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
+       "4 2020-01-01 18:59:24  0.271591      0.648409"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
+    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
+    "masks_ts.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
+       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
+       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
+       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
+       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
+       "               ...\n",
+       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
+       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
+       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
+       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts.set_index('date', inplace=True)\n",
+    "masks_ts.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.004358</td>\n",
+       "      <td>0.369293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>-0.001089</td>\n",
+       "      <td>0.379444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.111727</td>\n",
+       "      <td>0.440448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.040365</td>\n",
+       "      <td>0.383991</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.047351</td>\n",
+       "      <td>0.418947</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            polarity  subjectivity\n",
+       "date                              \n",
+       "2020-01-01  0.004358      0.369293\n",
+       "2020-01-02 -0.001089      0.379444\n",
+       "2020-01-03  0.111727      0.440448\n",
+       "2020-01-04  0.040365      0.383991\n",
+       "2020-01-05  0.047351      0.418947"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts_daily = masks_ts.resample('D').mean()\n",
+    "masks_ts_daily.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime\n",
+    "\n",
+    "dates = []\n",
+    "start_date = datetime.date(2020, 1, 1)\n",
+    "end_date = datetime.date(2020, 6, 11)\n",
+    "delta = datetime.timedelta(days=1)\n",
+    "\n",
+    "while start_date <= end_date:\n",
+    "    dates.append(str(start_date))\n",
+    "    start_date += delta"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/josh-twitter_scraping_notebook.ipynb b/josh-workbook.ipynb
similarity index 82%
rename from josh-twitter_scraping_notebook.ipynb
rename to josh-workbook.ipynb
index 13cf55f..4699919 100644
--- a/josh-twitter_scraping_notebook.ipynb
+++ b/josh-workbook.ipynb
@@ -2,18 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 223,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -45,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 215,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -56,71 +47,112 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Twitter scrape"
+    "# Loading csvs"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
+    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
+    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
+    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
+    "months = [jan, feb, mar, apr, may]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 234,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.concat(months)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Obtaining target variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 235,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):\n",
-    "    '''\n",
-    "    Function to return a pandas dataframe of tweets in English containing search terms using twint.\n",
-    "    Required parameter: search term.\n",
-    "    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).\n",
-    "    '''\n",
-    "    c = twint.Config()\n",
-    "    c.Lang = 'en'\n",
-    "    c.Search = search\n",
-    "    c.Username = username\n",
-    "    c.Since = since\n",
-    "    c.Until = until\n",
-    "    c.Limit = limit\n",
-    "    c.Pandas = True\n",
-    "    # Hide the printing of every tweet during scrape\n",
-    "    c.Hide_output = True\n",
-    "    twint.run.Search(c)\n",
-    "    df = twint.storage.panda.Tweets_df\n",
-    "    # Transform date string into datetime object\n",
-    "    df['date'] = pd.to_datetime(df['date']).dt.date\n",
-    "    return df"
+    "conditions = [\n",
+    "    df.sentiment_score > .05,\n",
+    "    df.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 334,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(575949, 20)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.shape)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 257,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):\n",
-    "    '''\n",
-    "    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.\n",
-    "    Periodically saves progress to CSV after each daily search.\n",
-    "    Required parameters: start date, end date, search term.\n",
-    "    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).\n",
-    "    '''\n",
-    "    df = pd.DataFrame()\n",
-    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
-    "    for d in range(len(date_range) - 1):\n",
-    "        since = date_range[d].strftime('%Y-%m-%d')\n",
-    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
-    "        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)\n",
-    "        # Drop empty columns\n",
-    "        day_df.drop(columns=drop_cols, axis=1, inplace=True)\n",
-    "        # Add new daily data to dataframe, reset index, save to CSV\n",
-    "        df = pd.concat([df, day_df])\n",
-    "        del day_df\n",
-    "        df.reset_index(drop=True, inplace=True)\n",
-    "        df.to_csv(f'Datasets/{filename}.csv')\n",
-    "        print(datetime.now(), f'{since} Saved!')\n",
-    "    return df"
+    "df.reset_index(drop=True, inplace=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 295,
    "metadata": {},
    "outputs": [
     {
@@ -144,460 +176,458 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
        "      <th>date</th>\n",
-       "      <th>username</th>\n",
        "      <th>tweet</th>\n",
        "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
        "      <th>nlikes</th>\n",
        "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
        "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>sentiment_score</th>\n",
+       "      <th>sentiment</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
        "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
+       "      <td>-0.8176</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
+       "      <td>-0.8905</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
+       "      <td>0.6705</td>\n",
+       "      <td>positive</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
        "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
+       "      <td>-0.7783</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
+       "      <td>-0.2960</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "             id  conversation_id    created_at       date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
        "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
        "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
-       "0                        []       4         0    False          0  \n",
-       "1                        []       3         2    False          0  \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  \n",
-       "3                        []       3         0    False          0  \n",
-       "4                   [#hugs]       1         0    False          0  "
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Search loop params for March tweets\n",
-    "\n",
-    "start_date = '2020-05-01'\n",
-    "\n",
-    "end_date = '2020-05-16'\n",
-    "\n",
-    "search = '(mask OR masks) AND (covid OR covid19 OR corona OR coronavirus)'\n",
-    "\n",
-    "filename = 'may_first_half_tweets'\n",
-    "\n",
-    "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
-    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']\n",
-    "\n",
-    "limit = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 8)"
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  retweet  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+       "\n",
+       "   nlikes  nreplies  nretweets  \\\n",
+       "0     1.0       0.0        1.0   \n",
+       "1     0.0       0.0        0.0   \n",
+       "2     1.0       1.0        1.0   \n",
+       "3     0.0       0.0        0.0   \n",
+       "4     1.0       0.0        1.0   \n",
+       "\n",
+       "                                                    quote_url  retweet_id  \\\n",
+       "0                                                         NaN         NaN   \n",
+       "1                                                         NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+       "3                                                         NaN         NaN   \n",
+       "4                                                         NaN         NaN   \n",
+       "\n",
+       "                                                                                                                                                reply_to  \\\n",
+       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
+       "\n",
+       "   sentiment_score sentiment  \n",
+       "0          -0.8176  negative  \n",
+       "1          -0.8905  negative  \n",
+       "2           0.6705  positive  \n",
+       "3          -0.7783  negative  \n",
+       "4          -0.2960  negative  "
       ]
      },
-     "execution_count": 57,
+     "execution_count": 295,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename,\\\n",
-    "                       drop_cols=drop_cols, limit=limit)"
+    "df.head()"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "# Preparing csvs"
+    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 174,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(191902, 17)"
-      ]
-     },
-     "execution_count": 174,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
-    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
-    "test.shape"
+    "# Big Load!!!!!"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 3,
    "metadata": {
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01     10017\n",
-       "2020-05-02     12871\n",
-       "2020-05-03      9557\n",
-       "2020-05-04     10019\n",
-       "2020-05-05     10009\n",
-       "2020-05-06     18885\n",
-       "2020-05-07     10000\n",
-       "2020-05-08     10010\n",
-       "2020-05-09     10017\n",
-       "2020-05-10      9676\n",
-       "2020-05-11     10000\n",
-       "2020-05-12     10008\n",
-       "2020-05-13     40812\n",
-       "2020-05-14     10000\n",
-       "2020-05-15     10019\n",
-       "Stat Butler        2\n",
-       "Name: tweet, dtype: int64"
+       "(575949, 19)"
       ]
      },
-     "execution_count": 175,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test.groupby('date').tweet.count()"
+    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
+    "df.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(144036, 17)"
-      ]
-     },
-     "execution_count": 176,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "test_drop = test.drop_duplicates(subset='tweet')\n",
-    "test_drop = test_drop.drop_duplicates(subset='id')\n",
-    "test_drop.shape"
+    "df['date'] = df.date.astype('datetime64[ns]')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "id                      0\n",
-       "conversation_id         0\n",
-       "created_at              0\n",
-       "date                    0\n",
-       "tweet                   0\n",
-       "hashtags                2\n",
-       "user_id                 2\n",
-       "username                2\n",
-       "name                    7\n",
-       "link                    3\n",
-       "retweet                 3\n",
-       "nlikes                  2\n",
-       "nreplies                3\n",
-       "nretweets               3\n",
-       "quote_url          133479\n",
-       "retweet_id         144036\n",
-       "reply_to                3\n",
-       "dtype: int64"
+       "(575949, 19)"
       ]
      },
-     "execution_count": 177,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop.isna().sum()"
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA/Feature Engineering"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "id                 0\n",
-       "conversation_id    0\n",
-       "created_at         0\n",
-       "date               0\n",
-       "tweet              0\n",
-       "hashtags           0\n",
-       "user_id            0\n",
-       "username           0\n",
-       "name               0\n",
-       "link               0\n",
-       "retweet            0\n",
-       "nlikes             0\n",
-       "nreplies           0\n",
-       "nretweets          0\n",
-       "reply_to           0\n",
-       "dtype: int64"
+       "sentiment\n",
+       "negative    18052\n",
+       "neutral      8223\n",
+       "positive    21355\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 178,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop.drop(columns=['quote_url', 'retweet_id'], inplace=True)\n",
-    "test_drop.dropna(inplace=True)\n",
-    "test_drop.isna().sum()"
+    "df[df.nlikes > 10].groupby('sentiment')['tweet'].count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[]                     2\n",
-       "1256719851021897728    2\n",
-       "1256720281038716928    2\n",
-       "1256716917659906050    2\n",
-       "1256720164449468416    2\n",
-       "                      ..\n",
-       "1258825216035188737    1\n",
-       "1256329153134989313    1\n",
-       "1258539046386589698    1\n",
-       "1257656889011249152    1\n",
-       "1257786716036964356    1\n",
-       "Name: id, Length: 144036, dtype: int64"
+       "sentiment\n",
+       "negative    105452\n",
+       "neutral      49210\n",
+       "positive    121327\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 151,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop.id.value_counts()"
+    "df[df.nlikes > 0].groupby('sentiment')['tweet'].count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(144036, 17)"
+       "sentiment\n",
+       "negative    221363\n",
+       "neutral     115386\n",
+       "positive    239200\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 157,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop = test_drop.drop_duplicates(subset='id')\n",
-    "test_drop.shape"
+    "df.groupby('sentiment')['tweet'].count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01      9749\n",
-       "2020-05-02     12238\n",
-       "2020-05-03      9125\n",
-       "2020-05-04      9646\n",
-       "2020-05-05      9520\n",
-       "2020-05-06      9514\n",
-       "2020-05-07      9563\n",
-       "2020-05-08      9503\n",
-       "2020-05-09      9354\n",
-       "2020-05-10      8967\n",
-       "2020-05-11      9163\n",
-       "2020-05-12      9334\n",
-       "2020-05-13      9457\n",
-       "2020-05-14      9469\n",
-       "2020-05-15      9433\n",
-       "Stat Butler        1\n",
-       "Name: tweet, dtype: int64"
+       "Timestamp('2020-01-01 00:00:00')"
       ]
      },
-     "execution_count": 158,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop.groupby('date').tweet.count()"
+    "df.date[0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 160,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01    5933\n",
-       "2020-05-02    6192\n",
-       "2020-05-03    5888\n",
-       "2020-05-04    6076\n",
-       "2020-05-05    5939\n",
-       "2020-05-06    5788\n",
-       "2020-05-07    5762\n",
-       "2020-05-08    5457\n",
-       "2020-05-09    5738\n",
-       "2020-05-10    5468\n",
-       "2020-05-11    5676\n",
-       "2020-05-12    5599\n",
-       "2020-05-13    5783\n",
-       "2020-05-14    5613\n",
-       "2020-05-15    5810\n",
-       "Name: tweet, dtype: int64"
+       "0    1\n",
+       "1    1\n",
+       "2    1\n",
+       "3    1\n",
+       "4    1\n",
+       "Name: month, dtype: int64"
       ]
      },
-     "execution_count": 160,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
-    "\n",
-    "test_drop[test_drop.tweet.str.contains(filt)].groupby('date').tweet.count()"
+    "df['month'] = df.date.apply(lambda x: x.month)\n",
+    "df['month'].head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
-   "metadata": {},
+   "execution_count": 11,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(75000, 15)"
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
       ]
      },
-     "execution_count": 180,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_5k = test_drop[test_drop.tweet.str.contains(filt)].groupby('date').head(5000)\n",
-    "test_5k.shape"
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 181,
+   "execution_count": 12,
    "metadata": {
     "scrolled": true
    },
@@ -605,46 +635,65 @@
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01    5000\n",
-       "2020-05-02    5000\n",
-       "2020-05-03    5000\n",
-       "2020-05-04    5000\n",
-       "2020-05-05    5000\n",
-       "2020-05-06    5000\n",
-       "2020-05-07    5000\n",
-       "2020-05-08    5000\n",
-       "2020-05-09    5000\n",
-       "2020-05-10    5000\n",
-       "2020-05-11    5000\n",
-       "2020-05-12    5000\n",
-       "2020-05-13    5000\n",
-       "2020-05-14    5000\n",
-       "2020-05-15    5000\n",
-       "Name: tweet, dtype: int64"
+       "count    575949.000000\n",
+       "mean          0.017756\n",
+       "std           0.505938\n",
+       "min          -0.998400\n",
+       "25%          -0.381800\n",
+       "50%           0.000000\n",
+       "75%           0.440400\n",
+       "max           0.999600\n",
+       "Name: sentiment_score, dtype: float64"
       ]
      },
-     "execution_count": 181,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_5k.groupby('date')['tweet'].count()"
+    "df.sentiment_score.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 208,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "test_5k.to_csv('Datasets/5k_may_1_15_tweets.csv')"
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 209,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -667,849 +716,379 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
+       "      <th>sentiment</th>\n",
+       "      <th>negative</th>\n",
+       "      <th>neutral</th>\n",
+       "      <th>positive</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>reply_to</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1256720837660545024</td>\n",
-       "      <td>1256715090545512449</td>\n",
-       "      <td>1588460571000</td>\n",
-       "      <td>2020-05-02</td>\n",
-       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.639668e+08</td>\n",
-       "      <td>modernactivism</td>\n",
-       "      <td>Modern Activism</td>\n",
-       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.054945</td>\n",
+       "      <td>0.252747</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1256372751314685953</td>\n",
-       "      <td>1256015002651299847</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Absolutely. Most successful countries address ...</td>\n",
-       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
-       "      <td>8.397868e+08</td>\n",
-       "      <td>RealRandyCohen</td>\n",
-       "      <td>ARJAY</td>\n",
-       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>0.566879</td>\n",
+       "      <td>0.089172</td>\n",
+       "      <td>0.343949</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.210424e+18</td>\n",
-       "      <td>RSRINIVASABABU1</td>\n",
-       "      <td>R SRINIVASA BABU</td>\n",
-       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.602564</td>\n",
+       "      <td>0.108974</td>\n",
+       "      <td>0.288462</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1588377573000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
-       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
-       "      <td>3.932328e+07</td>\n",
-       "      <td>themamamaven</td>\n",
-       "      <td>Nancy Johnson Horn</td>\n",
-       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.587097</td>\n",
+       "      <td>0.083871</td>\n",
+       "      <td>0.329032</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
-       "      <td>1588377570000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.284107e+09</td>\n",
-       "      <td>NolandTt</td>\n",
-       "      <td>Tom Noland</td>\n",
-       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.097701</td>\n",
+       "      <td>0.402299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>0.425400</td>\n",
+       "      <td>0.180400</td>\n",
+       "      <td>0.394200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>0.421400</td>\n",
+       "      <td>0.177800</td>\n",
+       "      <td>0.400800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>0.395200</td>\n",
+       "      <td>0.148600</td>\n",
+       "      <td>0.456200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>0.431400</td>\n",
+       "      <td>0.149000</td>\n",
+       "      <td>0.419600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>0.431200</td>\n",
+       "      <td>0.141600</td>\n",
+       "      <td>0.427200</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>152 rows × 3 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                     id      conversation_id     created_at        date  \\\n",
-       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "\n",
-       "                                                tweet  \\\n",
-       "4   Coronavirus-Did the US just supply a million f...   \n",
-       "22  Absolutely. Most successful countries address ...   \n",
-       "23  Bhubaneswar: Transgenders sew and distribute m...   \n",
-       "24  Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
-       "26  I only sneak out every 4 days or so for grocer...   \n",
+       "sentiment   negative   neutral  positive\n",
+       "date                                    \n",
+       "2020-01-01  0.692308  0.054945  0.252747\n",
+       "2020-01-02  0.566879  0.089172  0.343949\n",
+       "2020-01-03  0.602564  0.108974  0.288462\n",
+       "2020-01-04  0.587097  0.083871  0.329032\n",
+       "2020-01-05  0.500000  0.097701  0.402299\n",
+       "...              ...       ...       ...\n",
+       "2020-05-27  0.425400  0.180400  0.394200\n",
+       "2020-05-28  0.421400  0.177800  0.400800\n",
+       "2020-05-29  0.395200  0.148600  0.456200\n",
+       "2020-05-30  0.431400  0.149000  0.419600\n",
+       "2020-05-31  0.431200  0.141600  0.427200\n",
        "\n",
-       "                                             hashtags       user_id  \\\n",
-       "4                                                  []  2.639668e+08   \n",
-       "22           ['#coronavirus', '#covid__19', '#masks']  8.397868e+08   \n",
-       "23                                                 []  1.210424e+18   \n",
-       "24  ['#covid__19', '#mask', '#wearamask', '#hack',...  3.932328e+07   \n",
-       "26                                                 []  2.284107e+09   \n",
-       "\n",
-       "           username                name  \\\n",
-       "4    modernactivism     Modern Activism   \n",
-       "22   RealRandyCohen               ARJAY   \n",
-       "23  RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24     themamamaven  Nancy Johnson Horn   \n",
-       "26         NolandTt          Tom Noland   \n",
-       "\n",
-       "                                                 link  retweet  nlikes  \\\n",
-       "4   https://twitter.com/modernactivism/status/1256...    False     0.0   \n",
-       "22  https://twitter.com/RealRandyCohen/status/1256...    False     0.0   \n",
-       "23  https://twitter.com/RSRINIVASABABU1/status/125...    False     0.0   \n",
-       "24  https://twitter.com/themamamaven/status/125637...    False    10.0   \n",
-       "26  https://twitter.com/NolandTt/status/1256372709...    False     1.0   \n",
-       "\n",
-       "    nreplies  nretweets                                           reply_to  \n",
-       "4        0.0        0.0  [{'user_id': '263966773', 'username': 'moderna...  \n",
-       "22       0.0        0.0  [{'user_id': '839786785', 'username': 'RealRan...  \n",
-       "23       0.0        0.0  [{'user_id': '1210423564052004865', 'username'...  \n",
-       "24       1.0        9.0  [{'user_id': '39323281', 'username': 'themamam...  \n",
-       "26       0.0        0.0  [{'user_id': '2284107283', 'username': 'Noland...  "
+       "[152 rows x 3 columns]"
       ]
      },
-     "execution_count": 209,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "may1 = pd.read_csv('Datasets/5k_may_1_15_tweets.csv', index_col=0)\n",
-    "may1.head()"
+    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 210,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>1261808631747657728</td>\n",
-       "      <td>1261808631747657728</td>\n",
-       "      <td>1589673595000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>Yes - but only for \"crooks who hide their face...</td>\n",
-       "      <td>['#facemasks', '#crime', '#masks', '#ccpvirus'...</td>\n",
-       "      <td>7.905461e+08</td>\n",
-       "      <td>AlanTonelson</td>\n",
-       "      <td>(((Alan Tonelson)))</td>\n",
-       "      <td>https://twitter.com/AlanTonelson/status/126180...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>[{'user_id': '790546093', 'username': 'AlanTon...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>1261808527766695941</td>\n",
-       "      <td>1261808527766695941</td>\n",
-       "      <td>1589673570000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>12 more deaths, 12 more hospitalizations. \\n\\n...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.033256e+07</td>\n",
-       "      <td>deanbarker</td>\n",
-       "      <td>Dean Barker</td>\n",
-       "      <td>https://twitter.com/deanbarker/status/12618085...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '20332563', 'username': 'deanbark...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1261808522284748805</td>\n",
-       "      <td>1261808522284748805</td>\n",
-       "      <td>1589673569000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>After the fight with Corona Virus,the next fig...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.173606e+18</td>\n",
-       "      <td>gyaigyiimi</td>\n",
-       "      <td>Sb Orlando🇬🇭😊💉</td>\n",
-       "      <td>https://twitter.com/gyaigyiimi/status/12618085...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>[{'user_id': '1173605836725379074', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1261808482380058624</td>\n",
-       "      <td>1261808482380058624</td>\n",
-       "      <td>1589673560000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>rude of coronavirus to ruin mask fetishes for ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.229881e+18</td>\n",
-       "      <td>eliszabethmoss</td>\n",
-       "      <td>ms moss says viva la revolution</td>\n",
-       "      <td>https://twitter.com/eliszabethmoss/status/1261...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '1229881477518778369', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1261808398120747008</td>\n",
-       "      <td>1261808398120747008</td>\n",
-       "      <td>1589673540000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>Face Masks Fashion &amp; Health Care. \\n\\nNow I st...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>5.594146e+08</td>\n",
-       "      <td>dawoodfarsi</td>\n",
-       "      <td>dawood al-farsi | داود الفارسي</td>\n",
-       "      <td>https://twitter.com/dawoodfarsi/status/1261808...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '559414580', 'username': 'dawoodf...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
+      "image/png": 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\n",
       "text/plain": [
-       "                     id      conversation_id     created_at        date  \\\n",
-       "20  1261808631747657728  1261808631747657728  1589673595000  2020-05-16   \n",
-       "21  1261808527766695941  1261808527766695941  1589673570000  2020-05-16   \n",
-       "22  1261808522284748805  1261808522284748805  1589673569000  2020-05-16   \n",
-       "23  1261808482380058624  1261808482380058624  1589673560000  2020-05-16   \n",
-       "24  1261808398120747008  1261808398120747008  1589673540000  2020-05-16   \n",
-       "\n",
-       "                                                tweet  \\\n",
-       "20  Yes - but only for \"crooks who hide their face...   \n",
-       "21  12 more deaths, 12 more hospitalizations. \\n\\n...   \n",
-       "22  After the fight with Corona Virus,the next fig...   \n",
-       "23  rude of coronavirus to ruin mask fetishes for ...   \n",
-       "24  Face Masks Fashion & Health Care. \\n\\nNow I st...   \n",
-       "\n",
-       "                                             hashtags       user_id  \\\n",
-       "20  ['#facemasks', '#crime', '#masks', '#ccpvirus'...  7.905461e+08   \n",
-       "21                                                 []  2.033256e+07   \n",
-       "22                                                 []  1.173606e+18   \n",
-       "23                                                 []  1.229881e+18   \n",
-       "24                                                 []  5.594146e+08   \n",
-       "\n",
-       "          username                             name  \\\n",
-       "20    AlanTonelson              (((Alan Tonelson)))   \n",
-       "21      deanbarker                      Dean Barker   \n",
-       "22      gyaigyiimi                   Sb Orlando🇬🇭😊💉   \n",
-       "23  eliszabethmoss  ms moss says viva la revolution   \n",
-       "24     dawoodfarsi   dawood al-farsi | داود الفارسي   \n",
-       "\n",
-       "                                                 link  retweet  nlikes  \\\n",
-       "20  https://twitter.com/AlanTonelson/status/126180...    False     0.0   \n",
-       "21  https://twitter.com/deanbarker/status/12618085...    False     2.0   \n",
-       "22  https://twitter.com/gyaigyiimi/status/12618085...    False    43.0   \n",
-       "23  https://twitter.com/eliszabethmoss/status/1261...    False     2.0   \n",
-       "24  https://twitter.com/dawoodfarsi/status/1261808...    False     1.0   \n",
-       "\n",
-       "    nreplies  nretweets                                           reply_to  \n",
-       "20       0.0        1.0  [{'user_id': '790546093', 'username': 'AlanTon...  \n",
-       "21       0.0        0.0  [{'user_id': '20332563', 'username': 'deanbark...  \n",
-       "22       1.0       10.0  [{'user_id': '1173605836725379074', 'username'...  \n",
-       "23       0.0        0.0  [{'user_id': '1229881477518778369', 'username'...  \n",
-       "24       1.0        0.0  [{'user_id': '559414580', 'username': 'dawoodf...  "
+       "<Figure size 720x432 with 1 Axes>"
       ]
      },
-     "execution_count": 210,
      "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may2 = pd.read_csv('Datasets/5k_may_16_31_tweets.csv', index_col=0)\n",
-    "may2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 211,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(75000, 15)\n",
-      "(80000, 15)\n"
-     ]
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "print(may1.shape)\n",
-    "print(may2.shape)"
+    "sns.set_style('ticks')\n",
+    "\n",
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 212,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "(155000, 15)"
+       "<Figure size 720x432 with 1 Axes>"
       ]
      },
-     "execution_count": 212,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "may = pd.concat([may1, may2])\n",
-    "may.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 214,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "may.to_csv('Datasets/5k_may_tweets.csv')"
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts().unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Loading csvs"
+    "# Cleaning text"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 233,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
-    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
-    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
-    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
-    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
-    "months = [jan, feb, mar, apr, may]"
+    "stop_words = stopwords.words('english')\n",
+    "stop_words += ['mask', '#mask',\n",
+    "               'masks', '#masks',\n",
+    "               'face', '#face',\n",
+    "               'facemask', '#facemask',\n",
+    "               'facemasks', '#facemasks', \n",
+    "               'covid', '#covid',\n",
+    "               'covid19', '#covid19',\n",
+    "               'corona', '#corona',\n",
+    "               'coronavirus', '#coronavirus',\n",
+    "               'rona', '#rona',\n",
+    "               'virus', '#virus',\n",
+    "               'viral', '#viral',\n",
+    "               'viruses', '#viruses']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 234,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 6min 19s, sys: 2.16 s, total: 6min 21s\n",
+      "Wall time: 6min 24s\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "(575949, 17)"
+       "0                                                                                                                  death thomas unknown peasant died river\n",
+       "1                                                    ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
+       "2    know joke #ccpchina comes epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst us already dear fellow #hker...\n",
+       "3                                                                                                                            thought death gave horn freak\n",
+       "4                                                      interesting cult death wearing thinkingface electronically posing cia brennan chief facewithmonocle\n",
+       "5    see doctor stuff know war increased quality medical care hospitals start admitting patients even chemical attack doctor rushes spot gives intervie...\n",
+       "6                                                                     plague doctorgas combination sicknesspoison stuff good combination especially coming\n",
+       "7    thoughts cost nothing prayers half unlike costs firefighting equipment like hoses trucks aircraft least thoughts throwing prayers threaten preciou...\n",
+       "8                                                          killed mine miraceibel rosa death counted mining fatality record keeping deaths linked industry\n",
+       "9    also feel like scene phil another pointless addition particularly commenting ben deliberately chosen someone could clown engaged ben knew martin w...\n",
+       "Name: clean_tweet, dtype: object"
       ]
      },
-     "execution_count": 234,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df = pd.concat(months)\n",
-    "df.shape"
+    "# %time df['clean_tweet'] = df['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
+    "# clean_tweets = df['clean_tweet']\n",
+    "# clean_tweets.head(10)"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# clean_tweets.to_pickle('Datasets/clean_tweets.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "### Obtaining target variable"
+    "clean_tweets = pd.read_pickle('Datasets/clean_tweets.pkl')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 235,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "\n",
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+    "pattern = \"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\"\n",
+    "tokenizer = RegexpTokenizer(pattern)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 236,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "conditions = [\n",
-    "    df.sentiment_score > .05,\n",
-    "    df.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
     "\n",
-    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
+    "cv = CountVectorizer(min_df=5, token_pattern=pattern)\n",
+    "data_cv = cv.fit_transform(clean_tweets)\n",
+    "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_vec.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 237,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(575949, 19)\n",
-      "             id  conversation_id    created_at        date  \\\n",
-      "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
-      "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-      "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-      "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
-      "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
-      "\n",
-      "                                                                                                                                                   tweet  \\\n",
-      "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
-      "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
-      "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
-      "3                                                                                                            Thought death masks gave you the horn freak   \n",
-      "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
-      "\n",
-      "                                  hashtags       user_id        username  \\\n",
-      "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-      "1                                       []  1.044739e+18       lumora_lu   \n",
-      "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-      "3                                       []  2.819219e+09      Hevysmoker   \n",
-      "4                                       []  2.361956e+08        FaithR8s   \n",
-      "\n",
-      "                  name  \\\n",
-      "0               MLTSHP   \n",
-      "1                 MiLu   \n",
-      "2             odiecher   \n",
-      "3       Ashley Collins   \n",
-      "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
-      "\n",
-      "                                                            link  retweet  \\\n",
-      "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
-      "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
-      "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
-      "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
-      "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
-      "\n",
-      "   nlikes  nreplies  nretweets  \\\n",
-      "0     1.0       0.0        1.0   \n",
-      "1     0.0       0.0        0.0   \n",
-      "2     1.0       1.0        1.0   \n",
-      "3     0.0       0.0        0.0   \n",
-      "4     1.0       0.0        1.0   \n",
-      "\n",
-      "                                                    quote_url  retweet_id  \\\n",
-      "0                                                         NaN         NaN   \n",
-      "1                                                         NaN         NaN   \n",
-      "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
-      "3                                                         NaN         NaN   \n",
-      "4                                                         NaN         NaN   \n",
-      "\n",
-      "                                                                                                                                                reply_to  \\\n",
-      "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-      "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-      "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-      "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-      "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
-      "\n",
-      "   sentiment_score sentiment  \n",
-      "0          -0.8176  negative  \n",
-      "1          -0.8905  negative  \n",
-      "2           0.6705  positive  \n",
-      "3          -0.7783  negative  \n",
-      "4          -0.2960  negative  \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "print(df.shape)\n",
-    "print(df.head())"
+    "data_vec.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 238,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
+    "# Let's pickle it for later use\n",
+    "data_vec.to_pickle(\"Datasets/vec.pkl\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 240,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>sentiment_score</th>\n",
-       "      <th>sentiment</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
-       "      <td>-0.8176</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
-       "      <td>-0.8905</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
-       "      <td>0.6705</td>\n",
-       "      <td>positive</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
-       "      <td>-0.7783</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
-       "      <td>-0.2960</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
-       "\n",
-       "                                                                                                                                                   tweet  \\\n",
-       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
-       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
-       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
-       "3                                                                                                            Thought death masks gave you the horn freak   \n",
-       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name  \\\n",
-       "0               MLTSHP   \n",
-       "1                 MiLu   \n",
-       "2             odiecher   \n",
-       "3       Ashley Collins   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
-       "\n",
-       "                                                            link  retweet  \\\n",
-       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
-       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
-       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
-       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
-       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
-       "\n",
-       "   nlikes  nreplies  nretweets  \\\n",
-       "0     1.0       0.0        1.0   \n",
-       "1     0.0       0.0        0.0   \n",
-       "2     1.0       1.0        1.0   \n",
-       "3     0.0       0.0        0.0   \n",
-       "4     1.0       0.0        1.0   \n",
-       "\n",
-       "                                                    quote_url  retweet_id  \\\n",
-       "0                                                         NaN         NaN   \n",
-       "1                                                         NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
-       "3                                                         NaN         NaN   \n",
-       "4                                                         NaN         NaN   \n",
-       "\n",
-       "                                                                                                                                                reply_to  \\\n",
-       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
-       "\n",
-       "   sentiment_score sentiment  \n",
-       "0          -0.8176  negative  \n",
-       "1          -0.8905  negative  \n",
-       "2           0.6705  positive  \n",
-       "3          -0.7783  negative  \n",
-       "4          -0.2960  negative  "
-      ]
-     },
-     "execution_count": 240,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
-    "df.head()"
+    "data_vec = pd.read_pickle(\"Datasets/vec.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_vec.sum()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 241,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "(575949, 19)"
-      ]
-     },
-     "execution_count": 241,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-8-13cd52f9105f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtop_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mtop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mascending\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mtop_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2771\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2772\u001b[0m             \u001b[0;31m# shortcut if the key is in columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2773\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2774\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2775\u001b[0m                     \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
     }
    ],
    "source": [
-    "df.shape"
+    "# Find the top 30 words said by each comedian\n",
+    "top_dict = {}\n",
+    "for c in test.columns:\n",
+    "    top = test[c].sort_values(ascending=False).head(30)\n",
+    "    top_dict[c]= list(zip(top.index, top.values))\n",
+    "\n",
+    "top_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Look at the most common top words --> add them to the stop word list\n",
+    "from collections import Counter\n",
+    "\n",
+    "# Let's first pull out the top 30 words for each comedian\n",
+    "words = []\n",
+    "for comedian in test.columns:\n",
+    "    top = [word for (word, count) in top_dict[comedian]]\n",
+    "    for t in top:\n",
+    "        words.append(t)\n",
+    "        \n",
+    "words"
    ]
   },
   {
@@ -1521,200 +1100,82 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 217,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 256,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1256720837660545024</td>\n",
-       "      <td>1256715090545512449</td>\n",
-       "      <td>1588460571000</td>\n",
-       "      <td>2020-05-02</td>\n",
-       "      <td>Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.639668e+08</td>\n",
-       "      <td>modernactivism</td>\n",
-       "      <td>Modern Activism</td>\n",
-       "      <td>https://twitter.com/modernactivism/status/1256720837660545024</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '263966773', 'username': 'modernactivism'}, {'user_id': '15012486', 'username': 'CBSNews'}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1256372751314685953</td>\n",
-       "      <td>1256015002651299847</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask &amp; it stays on until 1 returns home. T...</td>\n",
-       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
-       "      <td>8.397868e+08</td>\n",
-       "      <td>RealRandyCohen</td>\n",
-       "      <td>ARJAY</td>\n",
-       "      <td>https://twitter.com/RealRandyCohen/status/1256372751314685953</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '839786785', 'username': 'RealRandyCohen'}, {'user_id': '53158947', 'username': 'MzDivah67'}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.210424e+18</td>\n",
-       "      <td>RSRINIVASABABU1</td>\n",
-       "      <td>R SRINIVASA BABU</td>\n",
-       "      <td>https://twitter.com/RSRINIVASABABU1/status/1256372749720645632</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '1210423564052004865', 'username': 'RSRINIVASABABU1'}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1588377573000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM</td>\n",
-       "      <td>['#covid__19', '#mask', '#wearamask', '#hack', '#coronavirus']</td>\n",
-       "      <td>3.932328e+07</td>\n",
-       "      <td>themamamaven</td>\n",
-       "      <td>Nancy Johnson Horn</td>\n",
-       "      <td>https://twitter.com/themamamaven/status/1256372718452248576</td>\n",
-       "      <td>False</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>[{'user_id': '39323281', 'username': 'themamamaven'}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
-       "      <td>1588377570000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's get...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.284107e+09</td>\n",
-       "      <td>NolandTt</td>\n",
-       "      <td>Tom Noland</td>\n",
-       "      <td>https://twitter.com/NolandTt/status/1256372709660884992</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '2284107283', 'username': 'NolandTt'}, {'user_id': '371051661', 'username': 'MargaretSchoenf'}, {'user_id': '14247236', 'username': '...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "                     id      conversation_id     created_at        date  \\\n",
-       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "\n",
-       "                                                                                                                                                    tweet  \\\n",
-       "4                                                   Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ    \n",
-       "22  Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask & it stays on until 1 returns home. T...   \n",
-       "23  Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-...   \n",
-       "24                                                                Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM   \n",
-       "26  I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's get...   \n",
-       "\n",
-       "                                                          hashtags  \\\n",
-       "4                                                               []   \n",
-       "22                        ['#coronavirus', '#covid__19', '#masks']   \n",
-       "23                                                              []   \n",
-       "24  ['#covid__19', '#mask', '#wearamask', '#hack', '#coronavirus']   \n",
-       "26                                                              []   \n",
-       "\n",
-       "         user_id         username                name  \\\n",
-       "4   2.639668e+08   modernactivism     Modern Activism   \n",
-       "22  8.397868e+08   RealRandyCohen               ARJAY   \n",
-       "23  1.210424e+18  RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24  3.932328e+07     themamamaven  Nancy Johnson Horn   \n",
-       "26  2.284107e+09         NolandTt          Tom Noland   \n",
-       "\n",
-       "                                                              link  retweet  \\\n",
-       "4    https://twitter.com/modernactivism/status/1256720837660545024    False   \n",
-       "22   https://twitter.com/RealRandyCohen/status/1256372751314685953    False   \n",
-       "23  https://twitter.com/RSRINIVASABABU1/status/1256372749720645632    False   \n",
-       "24     https://twitter.com/themamamaven/status/1256372718452248576    False   \n",
-       "26         https://twitter.com/NolandTt/status/1256372709660884992    False   \n",
-       "\n",
-       "    nlikes  nreplies  nretweets  \\\n",
-       "4      0.0       0.0        0.0   \n",
-       "22     0.0       0.0        0.0   \n",
-       "23     0.0       0.0        0.0   \n",
-       "24    10.0       1.0        9.0   \n",
-       "26     1.0       0.0        0.0   \n",
-       "\n",
-       "                                                                                                                                                 reply_to  \n",
-       "4                                                [{'user_id': '263966773', 'username': 'modernactivism'}, {'user_id': '15012486', 'username': 'CBSNews'}]  \n",
-       "22                                             [{'user_id': '839786785', 'username': 'RealRandyCohen'}, {'user_id': '53158947', 'username': 'MzDivah67'}]  \n",
-       "23                                                                                    [{'user_id': '1210423564052004865', 'username': 'RSRINIVASABABU1'}]  \n",
-       "24                                                                                                  [{'user_id': '39323281', 'username': 'themamamaven'}]  \n",
-       "26  [{'user_id': '2284107283', 'username': 'NolandTt'}, {'user_id': '371051661', 'username': 'MargaretSchoenf'}, {'user_id': '14247236', 'username': '...  "
+       "0    2020-01-01\n",
+       "0    2020-02-01\n",
+       "0    2020-03-01\n",
+       "0    2020-04-01\n",
+       "Name: date, dtype: object"
       ]
      },
-     "execution_count": 217,
+     "execution_count": 256,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "may.head()"
+    "df['date'][0]"
    ]
   },
   {
@@ -1822,39 +1283,6 @@
     "may[['nlikes','nreplies','nretweets']].describe()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Coronavirus-Did the US just supply a million face masks to the Israeli army?  https://bit.ly/2xcWoFJ \n",
-      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "Absolutely. Most successful countries address #coronavirus by requiring every1 leaving the house wear a mask & it stays on until 1 returns home. That provides maximum protection 4 every1. If #COVID__19 is a pandemic it should be addressed with maximum protection 4 all. #Masks\n",
-      "{'neg': 0.0, 'neu': 0.908, 'pos': 0.092, 'compound': 0.6566}\n",
-      "Bhubaneswar: Transgenders sew and distribute masks in slum area amid COVID-19 spread  https://timesofindia.indiatimes.com/videos/news/bhubaneswar-transgenders-sew-and-distribute-masks-in-slum-area-amid-covid-19-spread/videoshow/75494786.cms …\n",
-      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack #coronavirus  pic.twitter.com/x5CTV86RtM\n",
-      "{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
-      "I only sneak out every 4 days or so for groceries (with mask) but I have my 81 y/o mother on complete lock down.  No guests, no leaving, she's getting antsy - but understands that COVID is a death sentence for her.\n",
-      "{'neg': 0.163, 'neu': 0.761, 'pos': 0.076, 'compound': -0.7482}\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "\n",
-    "# test_5k['sentiment'] = test_5k['tweet'].apply(lambda x: analyzer.polarity_scores(x))\n",
-    "\n",
-    "for tweet in tweets[:5]:\n",
-    "    vs = analyzer.polarity_scores(tweet)\n",
-    "    print(tweet)\n",
-    "    print(f\"{str(vs)}\")"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 126,
@@ -3674,91 +3102,6 @@
     "masks3.sentiment_score.mean()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 198,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Apply text cleaning techniques\n",
-    "def clean_text(text, stop_words):\n",
-    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
-    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
-    "    remove stop words.'''\n",
-    "    \n",
-    "    # make text lowercase\n",
-    "    text = text.lower() \n",
-    "    \n",
-    "    # remove mentions\n",
-    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
-    "    \n",
-    "    # remove links\n",
-    "    text = re.sub(r'http\\S+', '', text) \n",
-    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
-    "    \n",
-    "    # convert emoticons\n",
-    "    emoticons = load_dict_emoticons()\n",
-    "    words = text.split()\n",
-    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
-    "    tweet = ' '.join(words_edit)\n",
-    "\n",
-    "    # convert emojis\n",
-    "    text = emoji.demojize(text)\n",
-    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
-    "    \n",
-    "    # remove punctuation\n",
-    "    text = text.replace('...', ' ') # special cases\n",
-    "    text = text.replace('-', ' ')\n",
-    "    text = text.translate(str.maketrans('', '', '!\"$%&*()+,./;<=>?@[\\\\]^_`{|}~')) \n",
-    "    \n",
-    "    # tokenize words\n",
-    "    tokenizer = RegexpTokenizer(\"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    \n",
-    "    # convert contractions\n",
-    "    contractions = load_dict_contractions()\n",
-    "    words = text.split()\n",
-    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
-    "    text = ' '.join(words_edit)\n",
-    "\n",
-    "    # remove stop words\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    words = [word for word in words if word not in stop_words]\n",
-    "    text = ' '.join(words)\n",
-    "    \n",
-    "    return text"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 199,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stop_words = stopwords.words('english')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 200,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stop_words += ['mask', '#mask',\n",
-    "               'masks', '#masks',\n",
-    "               'face', '#face',\n",
-    "               'facemask', '#facemask',\n",
-    "               'facemasks', '#facemasks', \n",
-    "               'covid', '#covid',\n",
-    "               'covid19', '#covid19',\n",
-    "               'corona', '#corona',\n",
-    "               'coronavirus', '#coronavirus',\n",
-    "               'rona', '#rona',\n",
-    "               'virus', '#virus',\n",
-    "               'viral', '#viral',\n",
-    "               'viruses', '#viruses']"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 201,

From 8e686db44bf029e2c91c66b569a2c0848c64e474 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Tue, 16 Jun 2020 21:41:27 -0400
Subject: [PATCH 10/14] workbook updates and imgs

---
 .DS_Store            |  Bin 10244 -> 10244 bytes
 josh-workbook.ipynb  | 4671 +++++++-----------------------------------
 wordcloud.jpg        |  Bin 0 -> 189382 bytes
 wordcloud_top100.jpg |  Bin 0 -> 151232 bytes
 4 files changed, 706 insertions(+), 3965 deletions(-)
 create mode 100644 wordcloud.jpg
 create mode 100644 wordcloud_top100.jpg

diff --git a/.DS_Store b/.DS_Store
index ce55fbd6f6a8bb93bcb6b8ca0226350f33b85369..d983e0b67eaa941d23b58c5a70764e819f9a514f 100644
GIT binary patch
delta 18
ZcmZn(XbIR5CBeuzxn4qabAiMZegHfO1?m6*

delta 16
XcmZn(XbIR5B{8{9LTqz^#1wu2Hd_Vg

diff --git a/josh-workbook.ipynb b/josh-workbook.ipynb
index 8c72cf2..721c2b3 100644
--- a/josh-workbook.ipynb
+++ b/josh-workbook.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,6 +27,9 @@
     "import string\n",
     "import emoji\n",
     "\n",
+    "import gzip\n",
+    "import pickle\n",
+    "\n",
     "%load_ext autoreload\n",
     "\n",
     "%autoreload\n",
@@ -36,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -994,7 +997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1003,7 +1006,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1012,9 +1015,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 8.72 s, sys: 256 ms, total: 8.98 s\n",
+      "Wall time: 9.07 s\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -1037,26 +1048,26 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>#a</th>\n",
-       "      <th>#aa</th>\n",
-       "      <th>#abc7</th>\n",
-       "      <th>#abcnews</th>\n",
-       "      <th>#abhealth</th>\n",
-       "      <th>#ableg</th>\n",
-       "      <th>#abpoli</th>\n",
-       "      <th>#abstract</th>\n",
-       "      <th>#accessories</th>\n",
-       "      <th>#acnh</th>\n",
+       "      <th>#a11</th>\n",
+       "      <th>#a2</th>\n",
+       "      <th>#a220</th>\n",
+       "      <th>#a23</th>\n",
+       "      <th>#a330</th>\n",
+       "      <th>#a39</th>\n",
+       "      <th>#a4</th>\n",
+       "      <th>#a400</th>\n",
+       "      <th>#a4114</th>\n",
        "      <th>...</th>\n",
-       "      <th>zipper</th>\n",
-       "      <th>zombie</th>\n",
-       "      <th>zone</th>\n",
-       "      <th>zoo</th>\n",
-       "      <th>zoom</th>\n",
-       "      <th>zorn</th>\n",
-       "      <th>zorro</th>\n",
-       "      <th>zpartyathome</th>\n",
-       "      <th>zuma</th>\n",
-       "      <th>zweli</th>\n",
+       "      <th>zyrtec</th>\n",
+       "      <th>zyx</th>\n",
+       "      <th>zyxi</th>\n",
+       "      <th>zz</th>\n",
+       "      <th>zzbetter</th>\n",
+       "      <th>zztwo</th>\n",
+       "      <th>zzz</th>\n",
+       "      <th>zzzz</th>\n",
+       "      <th>zzzzz</th>\n",
+       "      <th>zzzzzzzzzzzzzzzzzzz</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -1182,35 +1193,28 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 15671 columns</p>\n",
+       "<p>5 rows × 242937 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "   #a  #aa  #abc7  #abcnews  #abhealth  #ableg  #abpoli  #abstract  \\\n",
-       "0   0    0      0         0          0       0        0          0   \n",
-       "1   0    0      0         0          0       0        0          0   \n",
-       "2   0    0      0         0          0       0        0          0   \n",
-       "3   0    0      0         0          0       0        0          0   \n",
-       "4   0    0      0         0          0       0        0          0   \n",
-       "\n",
-       "   #accessories  #acnh  ...  zipper  zombie  zone  zoo  zoom  zorn  zorro  \\\n",
-       "0             0      0  ...       0       0     0    0     0     0      0   \n",
-       "1             0      0  ...       0       0     0    0     0     0      0   \n",
-       "2             0      0  ...       0       0     0    0     0     0      0   \n",
-       "3             0      0  ...       0       0     0    0     0     0      0   \n",
-       "4             0      0  ...       0       0     0    0     0     0      0   \n",
+       "   #a  #a11  #a2  #a220  #a23  #a330  #a39  #a4  #a400  #a4114  ...  zyrtec  \\\n",
+       "0   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
+       "1   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
+       "2   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
+       "3   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
+       "4   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
        "\n",
-       "   zpartyathome  zuma  zweli  \n",
-       "0             0     0      0  \n",
-       "1             0     0      0  \n",
-       "2             0     0      0  \n",
-       "3             0     0      0  \n",
-       "4             0     0      0  \n",
+       "   zyx  zyxi  zz  zzbetter  zztwo  zzz  zzzz  zzzzz  zzzzzzzzzzzzzzzzzzz  \n",
+       "0    0     0   0         0      0    0     0      0                    0  \n",
+       "1    0     0   0         0      0    0     0      0                    0  \n",
+       "2    0     0   0         0      0    0     0      0                    0  \n",
+       "3    0     0   0         0      0    0     0      0                    0  \n",
+       "4    0     0   0         0      0    0     0      0                    0  \n",
        "\n",
-       "[5 rows x 15671 columns]"
+       "[5 rows x 242937 columns]"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1219,8 +1223,8 @@
     "# create a document-term matrix using CountVectorizer, using custom regex tokenizing pattern\n",
     "from sklearn.feature_extraction.text import CountVectorizer\n",
     "\n",
-    "cv = CountVectorizer(min_df=25, token_pattern=pattern)\n",
-    "data_cv = cv.fit_transform(clean_tweets)\n",
+    "cv = CountVectorizer(min_df=, token_pattern=pattern)\n",
+    "%time data_cv = cv.fit_transform(clean_tweets)\n",
     "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
     "data_vec.head()"
    ]
@@ -1266,7 +1270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1275,7 +1279,7 @@
        "'death thomas unknown peasant died river ready heard homemade hair treatment ann cherry dead sea mud '"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1325,15 +1329,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 571 ms, sys: 187 ms, total: 758 ms\n",
-      "Wall time: 773 ms\n"
+      "CPU times: user 464 ms, sys: 158 ms, total: 622 ms\n",
+      "Wall time: 636 ms\n"
      ]
     }
    ],
@@ -1343,7 +1347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -1376,7 +1380,7 @@
        " ('death', 20287)]"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2160,9 +2164,26 @@
     "df.boxplot('subjectivity_score', 'lda')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Train Test Split"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with gzip.open('Datasets/features_df.pkl', 'rb') as handle:\n",
+    "    features_df = pickle.load(handle)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -2205,16 +2226,16 @@
        "      <th>name</th>\n",
        "      <th>link</th>\n",
        "      <th>...</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>sentiment_score</th>\n",
-       "      <th>sentiment</th>\n",
-       "      <th>lda_scores</th>\n",
-       "      <th>lda</th>\n",
+       "      <th>clean_tweets</th>\n",
+       "      <th>lda_1</th>\n",
+       "      <th>lda_2</th>\n",
+       "      <th>lda_3</th>\n",
+       "      <th>lda_4</th>\n",
+       "      <th>lda_5</th>\n",
+       "      <th>lda_6</th>\n",
+       "      <th>lda_7</th>\n",
+       "      <th>lda_8</th>\n",
+       "      <th>lda_9</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -2231,16 +2252,16 @@
        "      <td>MLTSHP</td>\n",
        "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
-       "      <td>-0.8176</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.016697275), (1, 0.016697275), (2, 0.016697275), (3, 0.1832099), (4, 0.016697276), (5, 0.016697275), (6, 0.5165309), (7, 0.016697275), (8, 0...</td>\n",
-       "      <td>6</td>\n",
+       "      <td>death thomas unknown peasant died river</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -2255,16 +2276,16 @@
        "      <td>MiLu</td>\n",
        "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
-       "      <td>-0.8905</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.06466613), (5, 0.77953017), (8, 0.11460834)]</td>\n",
-       "      <td>5</td>\n",
+       "      <td>ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -2279,16 +2300,16 @@
        "      <td>odiecher</td>\n",
        "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
-       "      <td>0.6705</td>\n",
-       "      <td>positive</td>\n",
-       "      <td>[(1, 0.3331919), (2, 0.10905476), (4, 0.13775119), (5, 0.25736606), (6, 0.08889389), (9, 0.05380502)]</td>\n",
+       "      <td>joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...</td>\n",
        "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -2303,16 +2324,16 @@
        "      <td>Ashley Collins</td>\n",
        "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
-       "      <td>-0.7783</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.016701402), (1, 0.016700676), (2, 0.016700676), (3, 0.016700676), (4, 0.016700676), (5, 0.016701154), (6, 0.01670324), (7, 0.016700676), (8...</td>\n",
-       "      <td>8</td>\n",
+       "      <td>thought death gave horn freak</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -2327,20 +2348,20 @@
        "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
        "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
-       "      <td>-0.2960</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.12219084), (1, 0.3442752), (2, 0.122258134), (3, 0.011120142), (4, 0.011120142), (5, 0.011134129), (6, 0.011124293), (7, 0.011120142), (8, ...</td>\n",
-       "      <td>8</td>\n",
+       "      <td>interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 21 columns</p>\n",
+       "<p>5 rows × 32 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -2372,191 +2393,281 @@
        "3       Ashley Collins   \n",
        "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
        "\n",
-       "                                                            link  ...  nlikes  \\\n",
-       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400  ...     1.0   \n",
-       "1       https://twitter.com/lumora_lu/status/1212518043353530368  ...     0.0   \n",
-       "2        https://twitter.com/odiecher/status/1212517557690748928  ...     1.0   \n",
-       "3      https://twitter.com/Hevysmoker/status/1212515585562726401  ...     0.0   \n",
-       "4        https://twitter.com/FaithR8s/status/1212510409858670593  ...     1.0   \n",
-       "\n",
-       "   nreplies  nretweets  \\\n",
-       "0       0.0        1.0   \n",
-       "1       0.0        0.0   \n",
-       "2       1.0        1.0   \n",
-       "3       0.0        0.0   \n",
-       "4       0.0        1.0   \n",
-       "\n",
-       "                                                    quote_url retweet_id  \\\n",
-       "0                                                         NaN        NaN   \n",
-       "1                                                         NaN        NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430526826479616        NaN   \n",
-       "3                                                         NaN        NaN   \n",
-       "4                                                         NaN        NaN   \n",
-       "\n",
-       "                                                                                                                                                reply_to  \\\n",
-       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
-       "\n",
-       "  sentiment_score  sentiment  \\\n",
-       "0         -0.8176   negative   \n",
-       "1         -0.8905   negative   \n",
-       "2          0.6705   positive   \n",
-       "3         -0.7783   negative   \n",
-       "4         -0.2960   negative   \n",
+       "                                                            link  ...  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400  ...   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368  ...   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928  ...   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401  ...   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593  ...   \n",
        "\n",
-       "                                                                                                                                              lda_scores  \\\n",
-       "0  [(0, 0.016697275), (1, 0.016697275), (2, 0.016697275), (3, 0.1832099), (4, 0.016697276), (5, 0.016697275), (6, 0.5165309), (7, 0.016697275), (8, 0...   \n",
-       "1                                                                                                    [(0, 0.06466613), (5, 0.77953017), (8, 0.11460834)]   \n",
-       "2                                                  [(1, 0.3331919), (2, 0.10905476), (4, 0.13775119), (5, 0.25736606), (6, 0.08889389), (9, 0.05380502)]   \n",
-       "3  [(0, 0.016701402), (1, 0.016700676), (2, 0.016700676), (3, 0.016700676), (4, 0.016700676), (5, 0.016701154), (6, 0.01670324), (7, 0.016700676), (8...   \n",
-       "4  [(0, 0.12219084), (1, 0.3442752), (2, 0.122258134), (3, 0.011120142), (4, 0.011120142), (5, 0.011134129), (6, 0.011124293), (7, 0.011120142), (8, ...   \n",
+       "                                                                                                                                            clean_tweets  \\\n",
+       "0                                                                                                                death thomas unknown peasant died river   \n",
+       "1                                                  ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck   \n",
+       "2  joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...   \n",
+       "3                                                                                                                          thought death gave horn freak   \n",
+       "4                                                            interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle   \n",
        "\n",
-       "  lda  \n",
-       "0   6  \n",
-       "1   5  \n",
-       "2   1  \n",
-       "3   8  \n",
-       "4   8  \n",
+       "   lda_1  lda_2  lda_3 lda_4  lda_5 lda_6  lda_7 lda_8 lda_9  \n",
+       "0      0      0      0     0      0     1      0     0     0  \n",
+       "1      0      0      0     0      1     0      0     0     0  \n",
+       "2      1      0      0     0      0     0      0     0     0  \n",
+       "3      0      0      0     0      0     0      0     1     0  \n",
+       "4      0      0      0     0      0     0      0     1     0  \n",
        "\n",
-       "[5 rows x 21 columns]"
+       "[5 rows x 32 columns]"
       ]
      },
-     "execution_count": 125,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df_updated = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
-    "df_updated.head()"
+    "df = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
+    "df.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(575949, 21)"
+       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
+       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
+       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
+       "       'sentiment', 'lda_scores', 'lda', 'subjectivity_score', 'clean_tweets',\n",
+       "       'lda_1', 'lda_2', 'lda_3', 'lda_4', 'lda_5', 'lda_6', 'lda_7', 'lda_8',\n",
+       "       'lda_9'],\n",
+       "      dtype='object')"
       ]
      },
-     "execution_count": 131,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df_updated.shape"
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(features_df, df.sentiment, test_size=0.25, random_state=1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>...</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>sentiment_score</th>\n",
-       "      <th>sentiment</th>\n",
-       "      <th>lda_scores</th>\n",
-       "      <th>lda</th>\n",
-       "      <th>subjectivity_score</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
-       "      <td>-0.8176</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.016697275), (1, 0.016697275), (2, 0.016697275), (3, 0.1832099), (4, 0.016697276), (5, 0.016697275), (6, 0.5165309), (7, 0.016697275), (8, 0...</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0.600000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
-       "      <td>-0.8905</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.06466613), (5, 0.77953017), (8, 0.11460834)]</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0.560000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(431961, 3725)\n",
+      "(143988, 3725)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(X_train.shape)\n",
+    "print(X_test.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "\n",
+    "scaler = MinMaxScaler()\n",
+    "X_train_scaled = scaler.fit_transform(X_train)\n",
+    "X_test_scaled = scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SMOTE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from imblearn.over_sampling import SMOTE\n",
+    "\n",
+    "smoten = SMOTE(sampling_strategy='minority', random_state=42)\n",
+    "X_train_smote, y_train_smote = smoten.fit_sample(X_train_scaled, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "features = data_vec.copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dummies = pd.get_dummies(df_final['lda'], drop_first=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "features = df_final[['nlikes', 'nreplies', 'nretweets', ]]\n",
+    "y = df_final['sentiment']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>...</th>\n",
+       "      <th>clean_tweets</th>\n",
+       "      <th>lda_1</th>\n",
+       "      <th>lda_2</th>\n",
+       "      <th>lda_3</th>\n",
+       "      <th>lda_4</th>\n",
+       "      <th>lda_5</th>\n",
+       "      <th>lda_6</th>\n",
+       "      <th>lda_7</th>\n",
+       "      <th>lda_8</th>\n",
+       "      <th>lda_9</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
+       "      <td>...</td>\n",
+       "      <td>death thomas unknown peasant died river</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
+       "      <td>...</td>\n",
+       "      <td>ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
        "      <td>2020-01-01</td>\n",
        "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
        "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
@@ -2565,16 +2676,16 @@
        "      <td>odiecher</td>\n",
        "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
-       "      <td>0.6705</td>\n",
-       "      <td>positive</td>\n",
-       "      <td>[(1, 0.3331919), (2, 0.10905476), (4, 0.13775119), (5, 0.25736606), (6, 0.08889389), (9, 0.05380502)]</td>\n",
+       "      <td>joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.462963</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -2589,16 +2700,16 @@
        "      <td>Ashley Collins</td>\n",
        "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
-       "      <td>-0.7783</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.016701402), (1, 0.016700676), (2, 0.016700676), (3, 0.016700676), (4, 0.016700676), (5, 0.016701154), (6, 0.01670324), (7, 0.016700676), (8...</td>\n",
-       "      <td>8</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>thought death gave horn freak</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -2613,20 +2724,20 @@
        "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
        "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
-       "      <td>-0.2960</td>\n",
-       "      <td>negative</td>\n",
-       "      <td>[(0, 0.12219084), (1, 0.3442752), (2, 0.122258134), (3, 0.011120142), (4, 0.011120142), (5, 0.011134129), (6, 0.011124293), (7, 0.011120142), (8, ...</td>\n",
-       "      <td>8</td>\n",
-       "      <td>0.500000</td>\n",
+       "      <td>interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 22 columns</p>\n",
+       "<p>5 rows × 32 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -2665,3809 +2776,448 @@
        "3      https://twitter.com/Hevysmoker/status/1212515585562726401  ...   \n",
        "4        https://twitter.com/FaithR8s/status/1212510409858670593  ...   \n",
        "\n",
-       "   nreplies  nretweets  \\\n",
-       "0       0.0        1.0   \n",
-       "1       0.0        0.0   \n",
-       "2       1.0        1.0   \n",
-       "3       0.0        0.0   \n",
-       "4       0.0        1.0   \n",
-       "\n",
-       "                                                    quote_url  retweet_id  \\\n",
-       "0                                                         NaN         NaN   \n",
-       "1                                                         NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
-       "3                                                         NaN         NaN   \n",
-       "4                                                         NaN         NaN   \n",
-       "\n",
-       "                                                                                                                                                reply_to  \\\n",
-       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
-       "\n",
-       "   sentiment_score sentiment  \\\n",
-       "0          -0.8176  negative   \n",
-       "1          -0.8905  negative   \n",
-       "2           0.6705  positive   \n",
-       "3          -0.7783  negative   \n",
-       "4          -0.2960  negative   \n",
-       "\n",
-       "                                                                                                                                              lda_scores  \\\n",
-       "0  [(0, 0.016697275), (1, 0.016697275), (2, 0.016697275), (3, 0.1832099), (4, 0.016697276), (5, 0.016697275), (6, 0.5165309), (7, 0.016697275), (8, 0...   \n",
-       "1                                                                                                    [(0, 0.06466613), (5, 0.77953017), (8, 0.11460834)]   \n",
-       "2                                                  [(1, 0.3331919), (2, 0.10905476), (4, 0.13775119), (5, 0.25736606), (6, 0.08889389), (9, 0.05380502)]   \n",
-       "3  [(0, 0.016701402), (1, 0.016700676), (2, 0.016700676), (3, 0.016700676), (4, 0.016700676), (5, 0.016701154), (6, 0.01670324), (7, 0.016700676), (8...   \n",
-       "4  [(0, 0.12219084), (1, 0.3442752), (2, 0.122258134), (3, 0.011120142), (4, 0.011120142), (5, 0.011134129), (6, 0.011124293), (7, 0.011120142), (8, ...   \n",
+       "                                                                                                                                            clean_tweets  \\\n",
+       "0                                                                                                                death thomas unknown peasant died river   \n",
+       "1                                                  ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck   \n",
+       "2  joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...   \n",
+       "3                                                                                                                          thought death gave horn freak   \n",
+       "4                                                            interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle   \n",
        "\n",
-       "  lda subjectivity_score  \n",
-       "0   6           0.600000  \n",
-       "1   5           0.560000  \n",
-       "2   1           0.462963  \n",
-       "3   8           0.000000  \n",
-       "4   8           0.500000  \n",
+       "   lda_1  lda_2  lda_3 lda_4  lda_5 lda_6  lda_7 lda_8 lda_9  \n",
+       "0      0      0      0     0      0     1      0     0     0  \n",
+       "1      0      0      0     0      1     0      0     0     0  \n",
+       "2      1      0      0     0      0     0      0     0     0  \n",
+       "3      0      0      0     0      0     0      0     1     0  \n",
+       "4      0      0      0     0      0     0      0     1     0  \n",
        "\n",
-       "[5 rows x 22 columns]"
+       "[5 rows x 32 columns]"
       ]
      },
-     "execution_count": 129,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df_final = pd.concat([df_updated, df['subjectivity_score']], axis=1)\n",
-    "df_final.head()"
+    "df = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
+    "df.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(575949, 22)"
+       "positive    0.415315\n",
+       "negative    0.384345\n",
+       "neutral     0.200341\n",
+       "Name: sentiment, dtype: float64"
       ]
      },
-     "execution_count": 130,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df_final.shape"
+    "df.sentiment.value_counts(normalize=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
-       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
-       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
-       "       'sentiment', 'month', 'lda_scores', 'lda', 'subjectivity_score'],\n",
-       "      dtype='object')"
+       "2"
       ]
      },
-     "execution_count": 135,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.columns"
+    "ctd = dict(corpus_transformed[2])\n",
+    "int(max(ctd, key=ctd.get))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 64,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
-       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
-       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
-       "       'sentiment', 'lda_scores', 'lda', 'subjectivity_score'],\n",
-       "      dtype='object')"
-      ]
-     },
-     "execution_count": 132,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_final.columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 137,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0                                                                                                                       death thomas unknown peasant died river\n",
-       "1                                                         ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
-       "2         joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...\n",
-       "3                                                                                                                                 thought death gave horn freak\n",
-       "4                                                                   interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle\n",
-       "                                                                                  ...                                                                          \n",
-       "575944                                                                                                          cuomo urge protester demonstrate prevent spread\n",
-       "575945             advantage flu since outbreak stupid body odour public place smile awkward moment using public washroom le tough #coronapandemic #sundayvibes\n",
-       "575946                 model south korea followed became mandatory carrier tracked using cellphone everyone came contact tested helped stop spread great extent\n",
-       "575947                                                                    aeroflot passenger must change every three hour inflight #aviation #airline #aircraft\n",
-       "575948                                                                                                                                           said said fuck\n",
-       "Name: clean_tweet, Length: 575949, dtype: object"
-      ]
-     },
-     "execution_count": 137,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "clean_tweets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_final"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 138,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>#a</th>\n",
-       "      <th>#aa</th>\n",
-       "      <th>#abc7</th>\n",
-       "      <th>#abcnews</th>\n",
-       "      <th>#abhealth</th>\n",
-       "      <th>#ableg</th>\n",
-       "      <th>#abpoli</th>\n",
-       "      <th>#abstract</th>\n",
-       "      <th>#accessories</th>\n",
-       "      <th>#acnh</th>\n",
-       "      <th>...</th>\n",
-       "      <th>zipper</th>\n",
-       "      <th>zombie</th>\n",
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-       "      <th>zuma</th>\n",
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-       "    </tr>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>575945</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>575946</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>575947</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>575948</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>575949 rows × 15671 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        #a  #aa  #abc7  #abcnews  #abhealth  #ableg  #abpoli  #abstract  \\\n",
-       "0        0    0      0         0          0       0        0          0   \n",
-       "1        0    0      0         0          0       0        0          0   \n",
-       "2        0    0      0         0          0       0        0          0   \n",
-       "3        0    0      0         0          0       0        0          0   \n",
-       "4        0    0      0         0          0       0        0          0   \n",
-       "...     ..  ...    ...       ...        ...     ...      ...        ...   \n",
-       "575944   0    0      0         0          0       0        0          0   \n",
-       "575945   0    0      0         0          0       0        0          0   \n",
-       "575946   0    0      0         0          0       0        0          0   \n",
-       "575947   0    0      0         0          0       0        0          0   \n",
-       "575948   0    0      0         0          0       0        0          0   \n",
-       "\n",
-       "        #accessories  #acnh  ...  zipper  zombie  zone  zoo  zoom  zorn  \\\n",
-       "0                  0      0  ...       0       0     0    0     0     0   \n",
-       "1                  0      0  ...       0       0     0    0     0     0   \n",
-       "2                  0      0  ...       0       0     0    0     0     0   \n",
-       "3                  0      0  ...       0       0     0    0     0     0   \n",
-       "4                  0      0  ...       0       0     0    0     0     0   \n",
-       "...              ...    ...  ...     ...     ...   ...  ...   ...   ...   \n",
-       "575944             0      0  ...       0       0     0    0     0     0   \n",
-       "575945             0      0  ...       0       0     0    0     0     0   \n",
-       "575946             0      0  ...       0       0     0    0     0     0   \n",
-       "575947             0      0  ...       0       0     0    0     0     0   \n",
-       "575948             0      0  ...       0       0     0    0     0     0   \n",
-       "\n",
-       "        zorro  zpartyathome  zuma  zweli  \n",
-       "0           0             0     0      0  \n",
-       "1           0             0     0      0  \n",
-       "2           0             0     0      0  \n",
-       "3           0             0     0      0  \n",
-       "4           0             0     0      0  \n",
-       "...       ...           ...   ...    ...  \n",
-       "575944      0             0     0      0  \n",
-       "575945      0             0     0      0  \n",
-       "575946      0             0     0      0  \n",
-       "575947      0             0     0      0  \n",
-       "575948      0             0     0      0  \n",
-       "\n",
-       "[575949 rows x 15671 columns]"
-      ]
-     },
-     "execution_count": 138,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data_vec"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "features = data_vec.copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dummies = pd.get_dummies(df_final['lda'], drop_first=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "features = df_final[['nlikes', 'nreplies', 'nretweets', ]]\n",
-    "y = df_final['sentiment']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ctd = dict(corpus_transformed[2])\n",
-    "int(max(ctd, key=ctd.get))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "weights = [topic[1] for topic in corpus_transformed[2]]\n",
-    "x = 0\n",
-    "for topic in corpus_transformed[2]:\n",
-    "    if topic[1] == max(weights):\n",
-    "        x = topic[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'list' object has no attribute 'get'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-75-ffd496d72fcf>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'get'"
-     ]
-    }
-   ],
-   "source": [
-    "max(corpus_transformed[2], key=corpus_transformed[2].get)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[0.26986057, 0.30016413, 0.25490528, 0.16522484]"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "weights = [topic[1] for topic in corpus_transformed[2]]\n",
-    "weights"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.30016604"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "max(weights)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "max(corpus_transformed[3][1])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "too many values to unpack (expected 1)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-74-0c2f46680c9c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_vec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-74-0c2f46680c9c>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_vec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m: too many values to unpack (expected 1)"
-     ]
-    }
-   ],
-   "source": [
-    "list(zip([a for [(a,b)] in corpus_transformed], data_vec.index))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "too many values to unpack (expected 1)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-44-726aca535ed6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m<ipython-input-44-726aca535ed6>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: too many values to unpack (expected 1)"
-     ]
-    }
-   ],
-   "source": [
-    "test = [a for [(a,b)] in corpus_transformed]\n",
-    "test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "RangeIndex(start=0, stop=575949, step=1)"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data_vec.index"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# SCRAP HEAP"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 126,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "pos = TextBlob(tweets[2])\n",
-    "print(pos.tags)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 122,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "('masks', 'NNS')\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tag in pos.tags:\n",
-    "    if 'mask' in tag[0]:\n",
-    "        print(tag)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 115,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
-      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
-      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
-      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
-      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in tweets[5:10]:\n",
-    "    pos = TextBlob(tweet)\n",
-    "    print(pos.tags)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 128,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 10)"
-      ]
-     },
-     "execution_count": 128,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 130,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "      <th>pos</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>VB</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "      <td>VB</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
-       "\n",
-       "   subjectivity pos  \n",
-       "0      0.288889  NN  \n",
-       "1      0.425000  NN  \n",
-       "2      0.000000  VB  \n",
-       "3      0.000000  NN  \n",
-       "4      0.648409  VB  "
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
-    "masks.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "NN     0.541166\n",
-       "NNS    0.384220\n",
-       "JJ     0.027616\n",
-       "VB     0.022642\n",
-       "VBZ    0.007547\n",
-       "VBP    0.004974\n",
-       "VBN    0.003602\n",
-       "VBD    0.002916\n",
-       "NNP    0.001715\n",
-       "SYM    0.000858\n",
-       "VBG    0.000686\n",
-       "FW     0.000686\n",
-       "RB     0.000515\n",
-       "PRP    0.000343\n",
-       "IN     0.000343\n",
-       "JJR    0.000172\n",
-       "Name: pos, dtype: float64"
-      ]
-     },
-     "execution_count": 133,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.pos.value_counts(normalize=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 231,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1. Get a wrist brace for the carpal tunnel\n",
-      "2. Take a pill for the prostate\n",
-      "3. Get breathe rite strips\n",
-      "4. Get wife apnea mask\n",
-      "5. Take cover until november than vote the orange man out.\n",
-      "Lil bruh said fuck it mask off\n",
-      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "\"fuck it, mask off\"\n",
-      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
-      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
-      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
-      "\n",
-      "Don't spread fake news, thanks. \n",
-      "People is already scared...\n",
-      "Pop smoke dior\n",
-      "Drake war\n",
-      "Futur mask off\n",
-      "fuck it mask off\n",
-      "Fuck it mask off\n",
-      "They really just said \"fuck it mask off\"\n",
-      "Only fck wit rich niggas fck it mask off\n",
-      "Mask on 😷😷\n",
-      "Fuck it mask off 😶😶 type shit\n",
-      "Never gonna stop, give it up, such dirty hands\n",
-      "I always mask it up, for the touch of the dumber kind\n",
-      "My, my, my, aye-aye, whoa!\n",
-      "M-m-m-my carona\n",
-      "fuck it mask off\n",
-      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
-      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
-    "    print(tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 288,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0      spongebob slides sand mountain tree oxygen mask\n",
-       "1    started freshly washed bed sheets face mask be...\n",
-       "2    using coverage yellow card mask fact team lost...\n",
-       "3                                                 mask\n",
-       "4    know mean depressed mask pain let others happy...\n",
-       "5    daughter sick nasty cough weeks ignores advice...\n",
-       "6    grinningcatface pencil aside butt masks yes ex...\n",
-       "7    energy something else post pics generic lookin...\n",
-       "8                      kind mask much one different us\n",
-       "9    market moved given detox scalp mask since prom...\n",
-       "Name: clean_tweet, dtype: object"
-      ]
-     },
-     "execution_count": 288,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
-    "masks_cleaned = masks['clean_tweet']\n",
-    "masks_cleaned.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 290,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a1</th>\n",
-       "      <th>a7</th>\n",
-       "      <th>a8</th>\n",
-       "      <th>aa</th>\n",
-       "      <th>aaaaaaand</th>\n",
-       "      <th>aaaandhe</th>\n",
-       "      <th>aaah</th>\n",
-       "      <th>aama</th>\n",
-       "      <th>aap</th>\n",
-       "      <th>aarons</th>\n",
-       "      <th>...</th>\n",
-       "      <th>zoro</th>\n",
-       "      <th>zorro</th>\n",
-       "      <th>zosakonc</th>\n",
-       "      <th>zpacks</th>\n",
-       "      <th>zsasz</th>\n",
-       "      <th>zthickness</th>\n",
-       "      <th>zuckerberg</th>\n",
-       "      <th>zuko</th>\n",
-       "      <th>zurich</th>\n",
-       "      <th>zvanetsa</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
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-       "      <th>1</th>\n",
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-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0</td>\n",
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-       "      <td>...</td>\n",
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-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
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-       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
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-       "\n",
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-       "\n",
-       "[5 rows x 15034 columns]"
-      ]
-     },
-     "execution_count": 290,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks_cleaned)\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 292,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
-    "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
-    "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
-    "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 294,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[(0,\n",
-       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
-       " (1,\n",
-       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
-       " (2,\n",
-       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
-       " (3,\n",
-       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
-       " (4,\n",
-       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
-      ]
-     },
-     "execution_count": 294,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
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-       "      <td>1210423564052004865</td>\n",
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-       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
-       "      <td>False</td>\n",
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-       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
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-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1588377573000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
-       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
-       "      <td>39323281</td>\n",
-       "      <td>themamamaven</td>\n",
-       "      <td>Nancy Johnson Horn</td>\n",
-       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
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-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
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-       "      <td>2020-05-05</td>\n",
-       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
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-       "      <td>43413162</td>\n",
-       "      <td>ThirstiesInc</td>\n",
-       "      <td>Thirsties Inc</td>\n",
-       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
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-       "      <td>David Hilycord</td>\n",
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-       "      <td>False</td>\n",
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-       "      <td>2020-05-05</td>\n",
-       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>146037421</td>\n",
-       "      <td>briandordevic</td>\n",
-       "      <td>Brian Dordevic 📲📷📈</td>\n",
-       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
-       "      <td>False</td>\n",
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-      "text/plain": [
-       "                        id      conversation_id     created_at        date  \\\n",
-       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "...                    ...                  ...            ...         ...   \n",
-       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
-       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
-       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
-       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
-       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
-       "\n",
-       "                                                   tweet  \\\n",
-       "4      Coronavirus-Did the US just supply a million f...   \n",
-       "22     Absolutely. Most successful countries address ...   \n",
-       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
-       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
-       "26     I only sneak out every 4 days or so for grocer...   \n",
-       "...                                                  ...   \n",
-       "50377  \"Clutches have been awesome during #coronaviru...   \n",
-       "50379  As President Trump attempts to project an imag...   \n",
-       "50381  Coronavirus, face masks and America's new faul...   \n",
-       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
-       "50383  @Koning_NL It appears, still the only people w...   \n",
-       "\n",
-       "                                                hashtags              user_id  \\\n",
-       "4                                                     []            263966773   \n",
-       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
-       "23                                                    []  1210423564052004865   \n",
-       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
-       "26                                                    []           2284107283   \n",
-       "...                                                  ...                  ...   \n",
-       "50377                                   ['#coronavirus']             43413162   \n",
-       "50379                                                 []             14915067   \n",
-       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
-       "50382                                                 []            146037421   \n",
-       "50383                                                 []   757353589966827522   \n",
-       "\n",
-       "              username                name  \\\n",
-       "4       modernactivism     Modern Activism   \n",
-       "22      RealRandyCohen               ARJAY   \n",
-       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24        themamamaven  Nancy Johnson Horn   \n",
-       "26            NolandTt          Tom Noland   \n",
-       "...                ...                 ...   \n",
-       "50377     ThirstiesInc       Thirsties Inc   \n",
-       "50379         witfnews           WITF news   \n",
-       "50381        Hellacort      David Hilycord   \n",
-       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
-       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
-       "\n",
-       "                                                    link  retweet  nlikes  \\\n",
-       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
-       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
-       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
-       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
-       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
-       "...                                                  ...      ...     ...   \n",
-       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
-       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
-       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
-       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
-       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
-       "\n",
-       "       nreplies  nretweets                                          quote_url  \\\n",
-       "4             0          0                                                NaN   \n",
-       "22            0          0                                                NaN   \n",
-       "23            0          0                                                NaN   \n",
-       "24            1          9                                                NaN   \n",
-       "26            0          0                                                NaN   \n",
-       "...         ...        ...                                                ...   \n",
-       "50377         0          0                                                NaN   \n",
-       "50379         0          0                                                NaN   \n",
-       "50381         1          8                                                NaN   \n",
-       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
-       "50383         0          0                                                NaN   \n",
-       "\n",
-       "       retweet_id                                           reply_to  \n",
-       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
-       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
-       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
-       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
-       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
-       "...           ...                                                ...  \n",
-       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
-       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
-       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
-       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
-       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
-       "\n",
-       "[25000 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_5k"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
-     ]
-    }
-   ],
-   "source": [
-    "test.groupby('date').tweet.str.contains('corona').value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
-      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
-      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
-      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
-      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
-      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
-      "Now that there is an ease on Lagos lockdown.\n",
-      "\n",
-      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
-      "\n",
-      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
-      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
-      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
-      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
-      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
-      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
-      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
-      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
-      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
-      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
-      "\n",
-      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
-      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
-      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
-      "\n",
-      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
-      "God the inside of the eye looks like a fuckin rubber mask\n",
-      "mask: on\n",
-      "me: horny \n",
-      "@breanna_gar i’m GEEEEKING rn 😂\n",
-      "Talk about the face mask 😹😹😹\n",
-      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
-      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
-      "\n",
-      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
-      "\n",
-      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
-      "@MayorBowser @GovernorVA\n",
-      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
-      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
-      "oh well lol no mask here either .. ever... \n",
-      "\n",
-      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
-      "Grateful that my neighborhood smells really really good even through a mask\n",
-      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
-      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
-      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
-      "NOW they care? Typical Republican behavior:\n",
-      "Against govnt assistance, until they lose their job.\n",
-      "Against federal aid, until that hurricane hits.\n",
-      "Against womens' right to choose, until someone makes them wear a mask.\n",
-      "#VoteBlueToCleanUpThisCrapAgain\n",
-      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
-      "\n",
-      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
-      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
-      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
-      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
-      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
-      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
-      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
-      "I am just glad the mask covers up her but ugly face.\n",
-      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
-      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
-      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
-      "When will it sink in? This is deadly serious.\n",
-      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
-      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
-      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
-      "Another fake video? Nobody is wearing face mask thou🤔\n",
-      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
-      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
-      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
-      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
-      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in test.tweet[50:100]:\n",
-    "    print(tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
-       "1  Ready to heard this? Homemade hair treatment a...   \n",
-       "2  We all know what a joke #CCPChina is when it c...   \n",
-       "3        Thought death masks gave you the horn freak   \n",
-       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name                                               link  \\\n",
-       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
-       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
-       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
-       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
-       "\n",
-       "   retweet  nlikes  nreplies  nretweets  \\\n",
-       "0    False     1.0       0.0        1.0   \n",
-       "1    False     0.0       0.0        0.0   \n",
-       "2    False     1.0       1.0        1.0   \n",
-       "3    False     0.0       0.0        0.0   \n",
-       "4    False     1.0       0.0        1.0   \n",
-       "\n",
-       "                                           quote_url  retweet_id  \\\n",
-       "0                                                NaN         NaN   \n",
-       "1                                                NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
-       "3                                                NaN         NaN   \n",
-       "4                                                NaN         NaN   \n",
-       "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '843195118924546048', 'username':...  \n",
-       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
-       "2  [{'user_id': '963032516759207936', 'username':...  \n",
-       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
-    "masks.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.8176"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.8176"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment[0]['compound']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.000757438644754942"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conditions = [\n",
-    "    masks.sentiment_score > .05,\n",
-    "    masks.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    17100\n",
-       "positive    16882\n",
-       "neutral      7457\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.221553e+09</td>\n",
-       "      <td>chong_wh96</td>\n",
-       "      <td>Chong_wH</td>\n",
-       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.075768e+09</td>\n",
-       "      <td>Yamanik30</td>\n",
-       "      <td>ACAB</td>\n",
-       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.209989e+18</td>\n",
-       "      <td>Harry31348302</td>\n",
-       "      <td>Harry</td>\n",
-       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.156025e+09</td>\n",
-       "      <td>JaceLucena</td>\n",
-       "      <td>katka</td>\n",
-       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.583843e+07</td>\n",
-       "      <td>nyman11209</td>\n",
-       "      <td>Hobonator</td>\n",
-       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "\n",
-       "                                               tweet hashtags       user_id  \\\n",
-       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
-       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
-       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
-       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
-       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
-       "\n",
-       "        username       name  \\\n",
-       "0     chong_wh96   Chong_wH   \n",
-       "1      Yamanik30       ACAB   \n",
-       "2  Harry31348302      Harry   \n",
-       "3     JaceLucena      katka   \n",
-       "4     nyman11209  Hobonator   \n",
-       "\n",
-       "                                                link retweet  nlikes  \\\n",
-       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
-       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
-       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
-       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
-       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
-       "\n",
-       "   nreplies  nretweets quote_url  retweet_id  \\\n",
-       "0       0.0        0.0       NaN         NaN   \n",
-       "1       0.0        0.0       NaN         NaN   \n",
-       "2       0.0        0.0       NaN         NaN   \n",
-       "3       0.0        1.0       NaN         NaN   \n",
-       "4       0.0        0.0       NaN         NaN   \n",
-       "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
-       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
-       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
-       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
-       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "masks2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
-    "\n",
-    "conditions = [\n",
-    "    masks2.sentiment_score > .05,\n",
-    "    masks2.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    38152\n",
-       "positive    31819\n",
-       "neutral     14237\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.03440293915067452"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2.sentiment_score.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    }
-   ],
-   "source": [
-    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
-    "\n",
-    "conditions = [\n",
-    "    masks3.sentiment_score > .05,\n",
-    "    masks3.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    34682\n",
-       "positive    32128\n",
-       "neutral     13190\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks3.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.013039305000000001"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks3.sentiment_score.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 201,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 206,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 The new police issue masks might not prevent covid19 identifying them as human.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "1 Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "2 … I guess Nancy can put in masks for everyone in her coronavirus funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "3 Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "4 Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
-      "\n",
-      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "5 all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "6 Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
-      "\n",
-      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "7 This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
-      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "8 I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "9 Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "10 I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "11 From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "12 Cara mengingat pencegahan virus\n",
-      " W-U-H-A-N:\n",
-      "\n",
-      "Bahasa Inggris*\n",
-      "\n",
-      "*W* - wash hands\n",
-      "*U* - use mask properly\n",
-      "*H* - have temperature checked regularly\n",
-      "*A* - avoid large crowds\n",
-      "*N* - never touch your face with unclean hands\n",
-      "\n",
-      "#CoronaVirusIndonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "13 Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "14 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "15 Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
-      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "16 I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "17 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "18 #coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "19 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "20 Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "21 Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "22 trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
-      "\n",
-      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "23 \"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "24 So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
-      "\n",
-      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
-      "\n",
-      "#CoronaVirusUpdate \n",
-      "@TheUnhingedOne_\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "25 Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "26 It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "27 99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
-      "\n",
-      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "28 No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "29 The Coronavirus is freaking me out. At least I got some masks. 😷\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "30 If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "31 Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "32 Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "33 the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "34 Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "35 😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "36 Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "37 How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "38 Current in demand items selling out in stores but available on Amazon: \n",
-      "Water  https://amzn.to/2vurRCi \n",
-      "Masks  https://amzn.to/2wT7M8X \n",
-      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
-      "ad \n",
-      "#coronavirus #coronavirusus #coronavirususa\n",
-      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
-      "#coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "39 It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "40 I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "41 N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "42 If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "43 There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "44 at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "45 No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
-      "\n",
-      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "46 The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "47 A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
-      "\n",
-      "Don’t give me , washing hands is better malarkey. \n",
-      "\n",
-      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
-      "\n",
-      "#coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "48 Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "49 I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "for i, tweet in enumerate(masks3['tweet'].head(50)):\n",
-    "    print(i, tweet)\n",
-    "    print('\\n-----------------------------\\n')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 new police issue might prevent identifying human\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "1 wear need go outside benefit using benefit much basic hygiene manners\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "2 guess nancy put everyone funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "3 washing hands disinfecting electronics save\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "4 americans worried need buy us surgeon general says\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "5 people worried start wearing guess made china facewithtearsofjoy\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "6 get toilet paper sanitizer paper towels tissues vodka next people waiting line hours stores open buy stuff going try luck costco today #japan #coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "7 webinar discuss research related long term respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register #emgtwitter\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "8 went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "9 yet wear worried leading charge\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "10 backed next gen pollution filtration botanicals\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "11 doctors talked apparently help effective hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "12 cara mengingat pencegahan w u h n bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands #coronavirusindonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "13 also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "14 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "15 since medical running stock try going environmentally friendly getting reusable\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "16 seeing glammed love #blackpeople going fly regardless #periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "17 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "18 #nyc panic shopping brunch packed\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "19 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "20 living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "21 crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "22 trump empathy compassion care people die cares think poe red death mar lago hideaway wall country ravaged disease\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "23 ny panic shopping brunch packed kimiko de freytas tamura via nyt check contact us small business needs\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "24 stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy #coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "25 snapchat shoulda made filters irl could keep cute\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "26 moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "27 people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "28 need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "29 freaking least got facewithmedicalmask\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "30 need go see doctor example wear surgical protect others needed unwell go\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "31 okay celeb wearing met gala year saying fit inspired\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "32 seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "33 funniest part basic protect either lol requires n respirator\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "34 informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "35 facewithmedicalmask prevent experts say depends\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "36 wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "37 prepare washing hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "38 current demand items selling stores available amazon water hand sanitizer ad #coronavirusus #coronavirususa #sarscov19 #sarscov2 #china #wuhan #flu #coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "39 ironic say saying effective preventing infection\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "40 refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipeline deadline soon possible yea\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "41 n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "42 one doctors tells wear protect totally dysfunctional immune system going wear\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "43 babies flight today see one person huge airport media democrats worried\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "44 job home depot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "45 need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "46 authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "47 question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched #coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "48 damn surgical block incompetent send flood god\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "49 interested raising fears canada suggesting wear speculating financial impact canada #housing think slow hot housing markets usher correction markets #ldnont\n",
-      "\n",
-      "-----------------------------\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "for i, tweet in enumerate(masks3['cleaned_tweet'].head(50)):\n",
-    "    print(i, tweet)\n",
-    "    print('\\n-----------------------------\\n')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 113,
-   "metadata": {},
-   "outputs": [
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 56317 columns</p>\n",
-       "</div>"
-      ],
+   "outputs": [],
+   "source": [
+    "weights = [topic[1] for topic in corpus_transformed[2]]\n",
+    "x = 0\n",
+    "for topic in corpus_transformed[2]:\n",
+    "    if topic[1] == max(weights):\n",
+    "        x = topic[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'list' object has no attribute 'get'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-75-ffd496d72fcf>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'get'"
+     ]
+    }
+   ],
+   "source": [
+    "max(corpus_transformed[2], key=corpus_transformed[2].get)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
       "text/plain": [
-       "   a0  a1  a10  a2  a3  a4  a5  a9  aa  aa377  ...  zulus  zum  zuma  zumba  \\\n",
-       "0   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "1   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "2   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "3   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "4   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "\n",
-       "   zurich  zville  zweli  zyad  zyada  zzz  \n",
-       "0       0       0      0     0      0    0  \n",
-       "1       0       0      0     0      0    0  \n",
-       "2       0       0      0     0      0    0  \n",
-       "3       0       0      0     0      0    0  \n",
-       "4       0       0      0     0      0    0  \n",
-       "\n",
-       "[5 rows x 56317 columns]"
+       "[0.26986057, 0.30016413, 0.25490528, 0.16522484]"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
+    "weights = [topic[1] for topic in corpus_transformed[2]]\n",
+    "weights"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 67,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.30016604"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
-    "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
-    "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
-    "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+    "max(weights)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
-   "metadata": {},
+   "execution_count": 52,
+   "metadata": {
+    "scrolled": false
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[(0,\n",
-       "  '0.018*\"hand\" + 0.013*\"sanitizer\" + 0.012*\"people\" + 0.008*\"get\" + 0.008*\"wear\" + 0.008*\"like\" + 0.007*\"gloves\" + 0.007*\"facewithmedicalmask\" + 0.007*\"paper\" + 0.006*\"got\"'),\n",
-       " (1,\n",
-       "  '0.015*\"hospital\" + 0.012*\"health\" + 0.011*\"staff\" + 0.010*\"patients\" + 0.010*\"care\" + 0.010*\"nurse\" + 0.006*\"new\" + 0.006*\"workers\" + 0.006*\"hospitals\" + 0.006*\"medical\"'),\n",
-       " (2,\n",
-       "  '0.023*\"us\" + 0.022*\"doctors\" + 0.022*\"gloves\" + 0.020*\"nurses\" + 0.019*\"china\" + 0.018*\"kits\" + 0.016*\"without\" + 0.015*\"test\" + 0.013*\"risk\" + 0.011*\"million\"'),\n",
-       " (3,\n",
-       "  '0.028*\"facewithtearsofjoy\" + 0.023*\"wearing\" + 0.021*\"gas\" + 0.013*\"man\" + 0.013*\"one\" + 0.011*\"wore\" + 0.009*\"house\" + 0.009*\"rollingonthefloorlaughing\" + 0.007*\"via\" + 0.006*\"gaetz\"'),\n",
-       " (4,\n",
-       "  '0.026*\"people\" + 0.021*\"wear\" + 0.020*\"wearing\" + 0.012*\"infected\" + 0.012*\"need\" + 0.011*\"protect\" + 0.010*\"get\" + 0.009*\"hands\" + 0.008*\"like\" + 0.008*\"sick\"')]"
+       "1"
       ]
      },
-     "execution_count": 115,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
+    "max(corpus_transformed[3][1])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 74,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n",
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
+     "ename": "ValueError",
+     "evalue": "too many values to unpack (expected 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-74-0c2f46680c9c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_vec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-74-0c2f46680c9c>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_vec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m: too many values to unpack (expected 1)"
      ]
-    },
+    }
+   ],
+   "source": [
+    "list(zip([a for [(a,b)] in corpus_transformed], data_vec.index))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "too many values to unpack (expected 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-44-726aca535ed6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-44-726aca535ed6>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: too many values to unpack (expected 1)"
+     ]
+    }
+   ],
+   "source": [
+    "test = [a for [(a,b)] in corpus_transformed]\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
-       "\n",
-       "   subjectivity  \n",
-       "0      0.288889  \n",
-       "1      0.425000  \n",
-       "2      0.000000  \n",
-       "3      0.000000  \n",
-       "4      0.648409  "
+       "RangeIndex(start=0, stop=575949, step=1)"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
-    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
-    "masks.head()"
+    "data_vec.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SCRAP HEAP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 122,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
     }
    ],
    "source": [
-    "sns.set_style('ticks')\n",
-    "\n",
-    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 115,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
      ]
-    },
-    {
-     "data": {
-      "text/html": [
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 date  polarity  subjectivity\n",
-       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
-       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
-       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
-       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
-       "4 2020-01-01 18:59:24  0.271591      0.648409"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
-    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
-    "masks_ts.head()"
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
-       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
-       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
-       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
-       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
-       "               ...\n",
-       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
-       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
-       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
-       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+       "[('hand', 40134),\n",
+       " ('need', 39383),\n",
+       " ('spread', 33418),\n",
+       " ('protect', 32088),\n",
+       " ('make', 31605),\n",
+       " ('help', 30306),\n",
+       " ('say', 28477),\n",
+       " ('glove', 27649),\n",
+       " ('public', 25717),\n",
+       " ('hospital', 25525),\n",
+       " ('new', 25340),\n",
+       " ('time', 25085),\n",
+       " ('medical', 24652),\n",
+       " ('china', 24641),\n",
+       " ('doctor', 24152),\n",
+       " ('home', 23986),\n",
+       " ('work', 23382),\n",
+       " ('day', 22567),\n",
+       " ('stop', 21958),\n",
+       " ('trump', 21074),\n",
+       " ('infected', 21008),\n",
+       " ('please', 20635),\n",
+       " ('everyone', 20359),\n",
+       " ('health', 20312),\n",
+       " ('death', 20287)]"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts.set_index('date', inplace=True)\n",
-    "masks_ts.index"
+    "Counter(words).most_common(25)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.004358</td>\n",
-       "      <td>0.369293</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>-0.001089</td>\n",
-       "      <td>0.379444</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.111727</td>\n",
-       "      <td>0.440448</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.040365</td>\n",
-       "      <td>0.383991</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.047351</td>\n",
-       "      <td>0.418947</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "            polarity  subjectivity\n",
-       "date                              \n",
-       "2020-01-01  0.004358      0.369293\n",
-       "2020-01-02 -0.001089      0.379444\n",
-       "2020-01-03  0.111727      0.440448\n",
-       "2020-01-04  0.040365      0.383991\n",
-       "2020-01-05  0.047351      0.418947"
+       "40134"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts_daily = masks_ts.resample('D').mean()\n",
-    "masks_ts_daily.head()"
+    "word_dict = dict(Counter(words))\n",
+    "word_dict['hand']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+       "<Figure size 1440x720 with 1 Axes>"
       ]
      },
-     "execution_count": 97,
      "metadata": {},
-     "output_type": "execute_result"
-    },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from wordcloud import WordCloud\n",
+    "# Create the word cloud:\n",
+    "\n",
+    "wordcloud = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(word_dict)\n",
+    "\n",
+    "# Display the generated image w/ matplotlib:\n",
+    "\n",
+    "plt.figure(figsize=(20,10), facecolor='k')\n",
+    "plt.imshow(wordcloud, interpolation='bilinear')\n",
+    "plt.axis(\"off\")\n",
+    "plt.tight_layout(pad=0)\n",
+    "\n",
+    "# Uncomment the next line if you want to save your image:\n",
+    "wordcloud.to_file('wordcloud.jpg')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_word_dict = dict(Counter(words).most_common(100))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1440x720 with 1 Axes>"
       ]
@@ -6477,56 +3227,47 @@
     }
    ],
    "source": [
-    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+    "wordcloud_top100 = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(top_word_dict)\n",
+    "\n",
+    "# Display the generated image w/ matplotlib:\n",
+    "\n",
+    "plt.figure(figsize=(20,10), facecolor='k')\n",
+    "plt.imshow(wordcloud, interpolation='bilinear')\n",
+    "plt.axis(\"off\")\n",
+    "plt.tight_layout(pad=0)\n",
+    "\n",
+    "# Uncomment the next line if you want to save your image:\n",
+    "# plt.savefig('satire_wordcloud.png')\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+       "<wordcloud.wordcloud.WordCloud at 0x21770e3ce80>"
       ]
      },
-     "execution_count": 98,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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RJel0XexUFChyep1Hp83gjTwaW4u2rfH1Q0RERETrYzkeGh2HW4BjurFCS546j85aDnYqSrScR6joMtrsPKJVs2wfuhorHuXoxUSUpGO5qJYUlDQ5teLRSdMCgFhgdvDWajn8kCYiIiKi9RGHnBxb6+kbW8vRYe9Zy8bBQN4RAGwxMJvWwXQ86JqM8N43V5VYoiSG6aKSdvGoEXwoHw50HnHbGhERERGtUy085MxTkSRteQ3MPmvbQ3lHAAOzaU0s20Mptm2NnUeUdx3TS7/zqJHcecSxNSIiIiJap1p4yMmxtZ6und/Oo/1tdejXqyUFHWYe0Sq5ng/bDcbWZFmCLAEei0eUcx3TRVWXUVLTKx7VGjYkCbiwHXYehYHzHFsjIiIionU6EWNrrg/f570dAHRjnUd5apaot5xoEVBctRTc56RdCGPxiCJ2eKNb0oKnhSJLuXoxESUxrBWMrTUtHGxpUMOikRptWyve6+ezX7yGf/Kvv7Huh0FEREREU6iFHfK+D7D5KCDG1kqanJvrdc/zUW/b2E8oHlVKCgCgm3LuEYtHFDEHikcyi0eUc47rwXL8FYyt2Tjc7b2R62pxx9a+9J0GvvZUY90Pg4iIiIimIDqPgODamHpFlp2KkpuM30bHgecjsfNoKywedVg8olWx7OCFI258VVkCp24oz8Ts7yoyj47CsGygN7ZmF/AFdFw34fnF7KoiIiIiKhrReQQU82BzHoblQZGDoOm8FNTO2kERcH9EYDYAdLrpfi8sHlFE3Fjr0dga4PINhnJMbB2o6HJQPEqpmFNrWDja6b2RqwUOzD4+MwEwz4mIiIgoD2qxziObm4ABBJ1HZV2Bqki5ORA9awV/jwdJgdlldh7Riokbaz3Ma1EUCR5D1SjHRPFoK8XOI9fzcdqycRjrPFJkQJKK13nk+z6unQenV1ZKXVxEREREtDy1ZrzziNdvQNB5VNZkKHKeikcOAOAgKTBbD8o64t4nLSweUUTcDJYZmE0FYYTVdxGY3U2h4HHWsuF6wMVY8UiSJOiKVLjOo7OWAys8sUqri4uIiIiIlsP3fdQaNo7CbM68FErS1rU8VHQZqpKf+10xtpZYPAozjwwWj2hVrKjzKAzMliSOrVGutbu9zKNySp1HtUbwRn602/9Grqpy4YpHx3Uz+me2PRMRERFlW8NwYLs+bjwoAeD1m2CIsbU8dR41ReZRwthaWDxqs3hEq2KKwGzReaRIuUmfJ0oiOo+qJTm1sbWTsBU4PrYGBKHZRRtbeylWPGLnEREREVG2nYSHnDfuB8Uji2NrAHqdR3m63623bexWlChbNa5SCn7NMNP9+x0uW9HGEjeDpdi2NY/vL5RjonWzkmLm0Um4wWKw80hX5cKd7lyr92bmmXlERERElG2iQ/7Gg+CQ0ynYtem8uraHsq7A8/38dB61HOwnjKwBvc4jBmbTyoibwRIzj6gg2gOB2Y7rL/05LU50Dnf6O49URSpcKGF8bI3b1oiIiIiyTYRlR2NrBbs2nZdhuUHmkZyfmJazlp2YdwQAFT0sHnVZPKIViTKPtHDbmgwWjyjXROtmRVeiouiyu49qDQu7ld7vL2g5Wv05reN45xFProiIiIgyrTYwtla0PM55dS0P5TAwOy9ja2ft0cUjRZZQ1uUosiMtLB5RRNxUR4HZ7DyinBOtmxVdTq14dNK0h/KOAEBT5cJ157x0ZqISrgIt2vdGREREVDS1poWSJmN/Kyg6FC1SYV6G5aKsKVDyFJg9pvMIAKq6gnbKmUcsHlHEGsg84tga5V3HDFpSZVlKr3jUsHCUWDzKz4fRtI7rFm49KgNg5hERUdZYjoef+/DX8bWnGut+KESUEScNG4c7GjQ1mCxxOLYGIAzMLgWdR3m43/U8H+dtBwcJm9aESkmO8l7TwuIRRaLOI60XmJ2HFxPRKIbpohIGyKU3tmYPhWUDgKYUKzDbcX2cNCzcerECgNvWiIiypt628fgzLfztc611PxQiyohaMzjkFMUjjq0FDMtDRVeCsbUc/EwaHQeej/GdRyUFHRaPaFVEhone13m0zkdEtJi26WIrxeKR7wcFlcGwbCDIPCrSOtRaw4LnI+o8KlJhjIioCMT7cpedoUQUqjXDzqNwvTuv3wDb8eB6fph5JOeieHTaCrKrJo2tsXhEK2PaHhRZgqoElWmZgdmUc4bpRRk95bB4tMyL6obhwHb95M4jVSrUOtSXwk1rLwuLR+w8IiLKFhE/0LX4/kxEgVrDwtGuFt3fcdta716grMm5mbSpt4PikciuSlItKzBSfv9n8YgiluOhFG5aA8LOoxxUYolG6Vjpjq2dhBssEjOPFLlQrcFi09qtF5l5RESUReIzZ9nj2USUT6btoWG4uLCjxzKPinNtOi8jWqijQMnJ2NppywEAXNgZk3mky+w8otUxbS8aWQMYmE3510l5bK3WCAoqozqPinS6cxx2Ht16FGQeWQXqqiIiKgJbdB6xeEREAE6b4pBTg86xtYjozqnoQedRHkLE663JnUdbzDyiVbIGikeqIsH1+QZD+WWY3ko6jw4TOo9URSrUB/RLZxa2ygoOtoMTD4tja0REmRJlHlnp3jwQUT6cNINDzsMdHarKsTWhG66zL+nBtjUnB80SZ1HxaNy2NRaPaIVMx4tusAGOrVH+dUwX1TDzKJ3iUdh5lBCYratyoT6gj+smbtjXIUkSdFXi2BoRUcaIjlCOrREREGwEBtAfmM17O3Tt3thaXratnbVs7FZVqMro8k2wbc2Dn2LzB4tHFLEcv694JHNsjXKuY7qoltPsPLJQ0WVshX9GnFawzqNr5xZu2C8BCApj7DwiIsoWMXrBwGwiAnqdR0e7ei8wm9dv/WNrSj7ud8/aDg7GdB0BQfHI9fxUC4QsHlEkGFsbCMzm+wvllO/7MCwXFT3dsbWksGwAUAsXmG3ixv3ge9U1GWaBCmNEREUgOo+YeUREAHDasCFJwXp3RZagyOw8AgYCs8P73TS7dZbhrGXjYGd03hGAaMN0p5ve6BqLRxQxbQ9639gaclGJJUpiOT5cL6jCAykVj5oWDhPCsoEwMLsgpztd28VZy8GlqPOoON8bEVFRRIHZzDwiIgC1poWDLS3qOlIVuVBd8fMyrf7MIyD7W+jOWjYOxoRlA4iWBHVS/Axg8YgipuOhxG1rVBAiMK5aCjOP1DS2rdm4OKLzKMg8Ksbr51o9aHu+QXQeqTIzj4iIMkZ85rDziIiAoEP+QqxbRVPysVksbYPb1oDsF4/qbRv72xM6j0TxKMXQbBaPKGLZ/YHZKotHlGNR8SgcW5MkCSVVWupF9UnDSty0BiAK4Mt6G+w0jqPiUS/zyGTnERFRplgOM4+IqKfWtHAU65DXVKkwB5uLiI+tRZ1HGb7ndT0f9baDC9uTMo/CsTUzvc8AFo8oYjk+dJWB2VQM4oOhGguzLmny0jqP2l0XhuXhaMT8sSaCCQvwIX1cNwEANx4EhbKSJkfZGkRElA0OO4+IKOakYeMwthFY49gagF7nUVnrja1lecN4o+PA94H9CWNrVXYe0SqZzmDmEYtHlF+drmhJTad4FN9gkUQUYovwIS06jy7tBZ1HmipxbI2INsrV0y6++1Jn3Q9jLNF5ZLLziGjjeZ6P05bd13mkKhJsjq3BtD0osgRNlaHI2e88Om3ZAIALU46tGSwe0SqYtocSt61RQYiwONHCCSy3eFRriOJR8ht5tBK1AC+i47qJg201GmstqXJ0k0JEtAn+j88+i1/5D99Z98MYi5lHRCQ0Og4c1x/oPJIyn+2zCsE25uCaNg+B2fWweDQp86gXmM2xNVqBwcwjRWHnEeVXLzB7oPNoSUWPk0bwRj4q80gLO4+y/GE0reO6FeUdAWFgdgE6qoiIpnXecXDecdb9MMYS29Zcz2coLtGGqzXFdWo886g4y1wWYZherHiU/ev1s3bw2XMwIfNITFt0uuw8ohWwHK8v80iRwOIR5dbI4tGyxtYmdB6JzKMidOi8dGZGm9YAQNfYebRJbMeLbkqJNpVhuamOAixDvKjP0GyizSauU+OdR6oi8fMcQNd2UQ4LLXnYtnYWFgIPJnQeVcthYLbF4hGlzPf9IDB7MPMowy8konEMM+XMo4YNXZWwW0k+BdDU4gRmXxvqPJKW9nOk7Ptn//7b+MB//O66HwbRWhlm9otH8W4jjq4RbbakziNdlTNdJFmVruWhPDi25mX3PfOsHfxd7lXHF49KqgxZSjcwe3zvE+Xe//Unz2NvS8V///duHPt14rSqpHJsjYoh6jwq92ceNY3lvKHWmhYOd3RIkpT4v2uiDTbn410tw0HbdPs7j1SZJ1cb5IWaiRFPc6KN0bE8mI4P1/OjgNWsYecREQlRh/xA5lERDjUXZVhedLjc27a2zkc03lnLxl5VjR7rKJIkoVJSGJhN8/uzx2r4/N+cTvw60UUw2Hnk+UFXElHedCwXstRfEF1259HhiJE1oDe2lvfAbLFpbTDzyMx5UYymZ1guztvZznohSpu4GDdSHAdYVPymsGtn93ESUfpqTRtlXe5bHMOxtYBhuSiH97y9bWvZ/bmcteyJI2vCVklBm8Ujmpfj+mh1J1/0i/yS0kDxCAA3rlEuGaaLaknp6wxadubR0YiwbKA3tpb3YOmX6iYA4MZY8aikScw82iBdy0Mj40HBRGkzwk6eLHf0xG8Ks/w4iYrEcjz89hdezNw4WK1p4WhH67sOZmB2IHFsLcM/l3rbwf6EsGyhostRdEcaWDwqONv10JoicT3qPFJ7bzC94lF2X0xEo7TD4lHcMotHtaaNw50xnUfRtrV8X8D3Oo9ibc+qDIt5GhvDsFy0TTf3z2WiebmeH312pJklsSg7PrbG92iilXj0yTr+xe8+jceuNNb9UPrUGnZfWDYQjq3x8A9dyx0aW8ty8ahpOCMzVgdVy0qqHbIsHhVc0Hk0+QkUdR7FM4/Cf2TxiPIovoZTKGvyUi6oHddHo+OMbSGNxtZy3nl0XDchS8Dhbn/mkedn+4OWlkd0XGR9TTlRWuIX4qvq6Ll62p25UBUfk2bnEdFqXDsPDtlOGvaaH0m/WnM4XoGZRwHD8lAJx/nysG2t3XWxVVYmfyGAqs6xNVqA7fpoG5Mv+EdlHgGAx+IR5ZBhuaiW0+k8EiM8+1ujTwFEYLaV4Q+jaRzXLVzc0/tC+kSRmaNrxee4XnRBxdE12lTxEYBVdR7949/8Oj71+asz/TeW40fv1ew8IlqN62Ewda1prfmR9DtpWEOdRyrH1gAE748i8ygKzM7w/W6762J7yuJREJjNsTWak+ME20EmtShadrhtLaF45GT4xUQ0Stt0UdWTi0eLhsDXw5WZB1vjxtbC10/OCyzHZ2ZfWDYA6FqY58Sbk8IzYt0LDM2mTRXvPFpFYHbXdnHWclBvzdbJYDsedirB5143w8HeREVy/VwUj7LTedS1XbS6Lo4SOo/yfl26KN/30bVclMN7BCXjnUe+7ydGcYxSLcmpHnJMVTx67LHHcP/99+O1r30t3vKWt+Dpp58e+/W/9Eu/hHe/+93Rv/u+jzvvvBOve93rov/7wAc+sNADp+mI6vKk0TXTEZlHseJRDiqxRKMYpofKUOZR8O+LhliL4tHeuOJR2HmU9xOe47rZl3cE9N4nzA2/ANkE8Rtldh7Rpoqf4horGAcThdpZP6ts18dOmIvBziOi1chi8agWjtAlZh7l/Lp0Ubbrw/UQRVtEmUcZvd+1HB+O62OrPGXmUUlZb/HINE088MADeNvb3oYvfvGLeOMb34h3vvOdI7/+T//0T/HZz36279eeffZZlMtlfPWrX43+75d/+ZcXf/Q0kRMVj8Zf9Pe2rcUCsyUWjyi/Oqbbt54U6HXWLTq6Vg8v7MdtPhCdR3n+kPZ9H9fOrZHFo7znOdFkfZ1HLB7RhurEiqirGFsTrzV7xpD6oPMo+Fxa1nIIIhrvJBxbO83Q2JooZA12HnFsrXcoVs5JYHY7bADZmrrzaM3Fo0cffRTb29u4//77oWka3v72t+Pq1at48sknh7729PQUv/7rv46f+Imf6Pv1J554Aq9+9auX96hpKr7v9zqPjPFPIstO6DwS21qejugAACAASURBVNbY+Uw51BmxbQ1YYvFoTOaRGgVm5/cC/qzlwHL8hLE1dh5tim6s44KdR7SpDHO1gdn11iKdR2Jsje/PRKuQzc6j4DEldR5t+tiaeG8c6jzKavHIDD4PZgnMNiwvtcziicWjK1eu4I477oj+XVEU3HrrrXjqqaeGvvZXfuVX8PM///O48cYb+379iSeeQK1Ww7333os3vOENeN/73odWq7WEh0/jxDuGJqWuJwZmhy8mb8F8GKJ1MGJrOIVlFY/OwhyK/TFja0XoznmpbgLAUPGopOY78+iFWpen8lOKj62x84g2VbwDbzWdR8FnzKyHD7bjoaIrUBWJ73FEK9C1XTTCA/pMFY/Cx8Jta8NE8agsikdy8P+zOmkTdR5NWzwKD87TGl2eWDzqdDqoVCp9v1apVNDtdvt+7Q/+4A/Qbrfxkz/5k0O/h67ruPPOO/GJT3wCDz/8MGq12lSZRx/5yEfwqle9qu//3vzmN0/87ygQv2md1HkkOgjKfZ1Hwf/P6gwo0Sie56NjekMtnssqHp23bWyVlL5OvUGa6DyacewgS46j4lHy2Foet605ro9/9C8fw+/+f8frfii5wLE1otV3HonX2qyfVZbjQ1MklDWZgdlEKyCyhW7Y11Fv2ZkpQJw0LMgScLA9UDxSZXh+dgslqyAOxcQBsxLeKmS282jG4lEljOxI66BjYvJSUqHIMAxUq9Xo309OTvAbv/Eb+OQnP5n4ezzwwAN9//6Od7wDb33rWyc+uAcffBAPPvhg3689/vjjLCBNKV70mZh5FG5b6+s8EplHGX0xEY0iqu2VFDOP9saMrAGAWoDMo2v1oO15sPNIi4pH+fveLMdDx/RwOuMWo03VZWA2UX/m0QqKMiIwe9bPD9v1oKkyyrrMwGyiFbgWjqy9+pYtHNctnLVsHO3qE/6r9NWaNva3tSiCRIgfbCrydMWIook6j7T+zqPMF49myDwC1lg8uuOOO/A7v/M70b+7rotnn30Wt99+e/RrjzzyCE5OTnDvvfcCCEK2fd/HN7/5TTz88MP4+Mc/jh/5kR+Jco8sy4Kur/+FVXTxzqP2hG1rFretUYGIN8yhzKPw+b3oRfVZyx46zRkUbVvLYXeO8NKZCV2VcDAQDC6C9fPYeSQeM0c6piM6jy5sazhvs+BGm0lsW9sqK6vZttYRmUezjq350FQJJU1m5hHRCpxExaNt/JfHz3DazEbx6KRh4Whn+DpVHP45jg+Mv4wtLCPKPBoIzM7o/a6Inpl1bC2t4tHEsbW77roL9XodDz30ECzLwkc/+lHcdNNNeOUrXxl9zX333Yevfe1r+NKXvoQvfelL+IVf+AXcfffdePjhhwEEuUm/9mu/hkajgdPTU3zoQx/Cfffdl8o3RD3xcZnWhOKRmbRtTWbxiPJpVPGovKyxtY4zNiwbCF4/ipzvzqPjuoUb9kuQpP6Tq2hsLYcFGBaPZiMKrTcc6Ow8oo1lWC5kKViSYKwi86gtMo9m7DxyPGiKHIyt8T2OKHXXGr3OIwCoZWTjWq1p4zChiNXrPMrvtemiREd1uTQYmJ3N98xZi0eiKNYx0/l+JhaPyuUyPvaxj+HTn/407rrrLjzyyCP48Ic/DEmScM899+Azn/nMxD/k/e9/Py5evIg3velNuPvuu3H58mW8613vWso3QKPF2+9axviLftP2IEvoa28U/+xl87VENJI4JU4rMLvetrE3JixbUBU514HZx3UTl/aHLz7yvG1NjOjmsWtqHUQ2wA37JWYe0cbqWB4qJQUVPd0VyIIYW5u588gNOo/KusLMI6IVODm3UNJkvPxikA8sMpDW7bRpJ3YeiULJJl8DGYNja9Gkzdoe0lizZh5tlYPvy0jpM2Di2BoAvOY1r8FDDz009Ouf+9znEr9+MKdoe3sbH/zgB+d4eLSIvuLRpLE120NJk/s6DETxKKttfESjiEyKobG1JWYeTeo8AsRWi4x+Gk3huG7hh753b+jXdSW/m+TYeTQbMfpyw76Ov/omi0e0mQzTRUWXUS0pKw3MnvUGz3J86Co7j4hW5XrDwsVdDRfCQk0tA3mKnueP7jxSs53vswpRLqoYW5Mz3nnUdaHIUhS9MUnUeTTh3n9e0z0KyqVZxtYsxxvaHCW2rXFsjfKmN7a2/MDsruWia3k4mKLzSFfz23nkuD5OGtbQpjUA0MPx1lx2HrF4NBPDdMPcKw2G5W30aSVtrqB4pKCiyysKzJ59bM3zfLheuG1NZ+YR0SpcP7dwcU9HtaSgWpJRa66/eHTeceB6Pg6TMo/E2FpOr02XobdtLbgnkGUJkpTdglq762KrrAxFSIwSZR6l9FnF4lGBxd8YJo+t+dGNtcDMI8orUTyqpNB5VA/HCSZtWwOCVti8dh6dNCx4/vCmNaAXPJ7LzKNwbI3Fo+kYloeyrmC3GjzfmXtEm8iwPFRLCioZ7jwSGSaaKqOkyXyPo7m1DAffutpe98PIhZOGjYthh8/hjo7Txvozj07CxzA+82hz3x+ibWt6775XlaXsFo9Md+qRNSAemL2mzCPKL3EhIUm9sK1RTNuDrvZXNHuZR9l8MRGNEm3GSaV4FJwq7U/ReaSp2f0wmuS4bgLAiM6jsHiUw5MrK7xgymPX1Dp0LRdlTcZeWDxi7hFtoo7lolKSg86jlDOPHNdH0wj+jFm6A8RmzyjziMUjmtOnPn8Vv/h/fmPdDyPzfN/H9YaFo73gOunCjpaJziPxGBIzj8LDv00PzFYVCaoSKx4pUmZjWtpdZ+h+ZhwxdbG2bWuUX+KmdaeiRmFbo1iON9x5pLDziPKp13k0YmxtgcLBWSu4eR5cX59EU+RcFliAIO8IAG44GO480nIcuCi6pfLYNbUOhuWhoseKR20Wj2jz9MbW0u88Et19FV2er/NIkVDWZJgcW6M5PX/SRbvr8vB4glY3iDG4uCc6j7JRPOp1Ho0eW3Nyem26DOK6Jk5VsnvYK8bWpqUqMnRVYvGIZieCvw621Ilja5bjRd0EQi8wO53HR5SWKDB7YNuaqkhQZGmhzqPzGTuP7Jy+gF46G915JEkSdFXKZQHGZObRTAzLRaXEsTXabOJmYxWZR+edsGtgV4ft+vD96W5oRKFJV+Ug88jmtjWaz/F5UHywNni0aRrXw59TfGyt1lz/2JooYB3ucGwtiWG5Q9uYVUXKbLNE23Rn6jwCgtBsg8UjmpU4hdrf1iYGZgdjawPFozCYy81oJZZolE7XhaZI0VaJuEW30MySeaRl+CRjkuO6ha2ygu1y8vepq7OdimeFyDzKa0fYqnUtD2Vdxl41KJayeESbyLDcvsyjNDsyRHffpbCbYdr3KvFZo4adR13Lm7rwRBR3TRSPbD5/xomKR6LzaFdD03DXfjhVa1ioluShjcNA0BEPbPrYWsK0TZYzj2bsPAKAallBJ6XuUxaPCkzMyu9vqTAsb+yLwnL8oRWASvg8zWollmgU0S2RZNEg0XrbhiwBu5Xpxtby+gF9XDcTu44EXZNh5rAAY7PzaCbihG43yjxaf0s+0ap1TA8VXYm6WdPMExK5YkdhN8O03av9nUcKPH+zbxBpPp7nR0WRPB4QrdL1Rn/n0YXt4JDlrLXez8la007sOgIAVRWdR5v73tAt+NgaAFRTzOdj8ajARPDXQfhm1jZHnxib9uixNc48U950TG9ki+eixaOztoO9LRWyPHllpqpKub34Oq5buDFh05qQ97E1hslOR4zrVEsyVEVi5xFtpCDzSEY55SBSoNd5dHEvuHabtvOot21Nik7VV7EZjorltGVHN9GbvM59GieNcMQ0fK2K7WbrHl07aViJeUdAPPNoc98bEsfWstx5NM/YWoljazQH8cYgsllaxugnUWJgtszAbMqnjukOhWULixaPztv2VHlHQHACnNUPo0kmdh6pci7znMSNWF6LeqsWjK0pkCQJu1W1cNvWrp528eDH/hatbrG+L1oex/Vguz4qpVjnUYpFGdHdd3EvKN5P+z4bbVtTZJRF8Yi5RzSja/Ve4YOZR+NdPzexW1FQ1oL3hcNwu1mtkd3OI46t9cbx41RFzuS2Ncf10bW8mTuPtkrKxE3r89qI4pHv+/h/v3Ga25u4eYk3hqjzaEzuUZB51N9J0QvM3qyfG+Vfx3SHwrKFxcfWnKnyjoDghCePBZau7aLednBpbOeRnMt191ZsbI15IJMFJ3TBpcJeVS1c59HfXGnir751jmevddf9UCijjLBQVC0p0WshzdDsetuBqkjRhsNpb+BFYVxXpejGiJ1HNKvjczP65zx2F6/S9YaNo71ekSYqHq1541qtaeNoVOcRx9bQtZOKR9kMzBZdrlsj8kdHYefRgr7zYgf/67/9Jh554mzdD2WlosDs8EZ3XGj2ujuPmhO2wRHNwrC8xKBAYAljay0bB1N2HqmKlMsPaHHyOK7zqKTJuQydFhfDvo+NO1CYR3yl7W5VjUZqiqIRfvZwjJFGERfvFV2OsvS6ZoqdR20He1U1ihKYNrRYjBipfZ1HfF7TbOKdRxxbG+/k3IryjoBe5tE6x9a6lot21x3deSSKRzk8/FuWpLG1rAZmi8aPWcfWqiUFnZQ+pzaieHQaVoDXXQleNccVY2tB8ag9pi3fStq2FhWPUnqAoWeuG/ixf/ZF/Oe/qaX7B9HGSHdszYleU5PkdbTrpbPgwufGg9GdR1pOM4/i42oMzR7P83yYdjC2BgSdR0UbW2uG49x8LtAoRngBXtFX03l03rGxt6VCD7NJph2xFau32XlEiziOj63l8Pplla6dW9GmNQDQVBl7VXWt95vizz7aGZV5FI6tbXBh0BgZmJ2953uv84iB2SslThaL1m4/Sa/zKMw8mji2tp7A7Ks1E74P/NYfPZfJlkHKn47pptJ55Hl+eGE/XeeRltvOo6BtfWznkSrn8sIy3i2Vx7G7VRJdC0UeWxNdrywe0ShGWCiqlnqdR0aqxSMH+1saNHW2mzzxdZoio6Sln81ExSQ+/4Hpw9o3kef5qDWtaCuicLirrbV4dBJugJsUmG1nsFCyKl3LRSkngdlR59GMxaNKSUntc2ojikfiZPG8vWGdR05/5tGowGzf92E6ftTmLCjh8zTtgo64GblybOA/ffUk1T+LNoNhpVM8anVduF7vNTWJqsq5LB5F62f3xgdm5/HCkp1H0xMXHqK9u4iB2c0Oi0c0XvQ6iGUeGasYWwvHS6bNPIoCs2OdRyyQ06yOz63o+ZPHA6JVOW3ZcD3g0sB10oVtDbXG+sbWROHqcDf5+k3d8Mwj3w8CqBM7jzLYwCA2pc/ceVRSYDl+Kt1UG1E8EsWJop2YTmIPjK2N2iYj3kD0weKRtJrAbHHye+OBjn/zn57PZOWX8qXTHZ5nFhYpHp2FBehpx9byGphdbzvBWmpt9IeVruW08yj2dz9tlsimEl0L4kZib0uDaXuF2uAkOpPz+Fym1RC5EVVdiT5XUh1bC5cyiGuyqbetiWs5NZZ5lOLjpGK6dm7hlsMygM3OxZlEdPgMdR7t6DhtZaDzaMLY2qbea1mOD8/H0D2CqkhwM/gzaS2QeQQgldyjjSoeFe3EdBLH9SFLQFlXoKvSyLE1cTM1atta2i8mcfH+4D94OZ476eIPv3w91T+Pis1xg066UVX6RYpH563guTp95tHyxtZeOjMnf9GSnHcmb5TTVSmX3Rp9Y2s5fPyrlNR5BBTrIKbFzCOaQGysKetydEGeVmC27/vB+29VhR7e5JlTFrlFAVRTYp1HHFujGXiej+vnFm49CopHeewuXpXrjaBAdHGvv0gjxtbWtc211rShyL3IkkGKLEGWNrcw2LuuGY5qyWTn0Zxja9Uw9zWN3KONKB6JzpaibYmZxHb9aLZ1u6yOLB6JXIuhzqPwv037tdTsOChpMn7sBw/xfbdu4d/8yfMb+6ZGixv1wSAsUjyqh51H02YeqYq8lFDCZ64buO9Xv4K//tb5wr/XNM7bNvaq47/HvIaBc2xtemJFeTzzCChW8ajBzCOaQLwOqiUl6uhJq/Oo3XXhej72qtrMW5GizCO11zXKbWs0i9OWDcf1cTM7jya6fp483n+4o6Frealtupqk1rCxv6VFDQBJ8prHuQyioD64YTwIzM7ez6Q9d2C26Dxi8WguonjU2LB18LbrQw1PrrbKCtojvn9xM1UeuW0t/cyjvaoKSZLwi//drXjx1MTDX2T3Ec1HvFGOyjwqa/LcF9RibO1ghsBs1/MXDp1//qQL3we+fbW90O8zLZG5MY6uyjBzeCrZVzzihfFYItelPNB5VKSDGHF9wJtsGqWXeSRDloOunrTGwUSH/N6WGi0xsaa8oRFRBRq3rdGcroWb1m4JO4/4GTnaybkFWQIubA+PrQFArbme3KOzlo0LI0bWhLzmcS5D71BseGwtk8WjsPGjOiKKY5RqmcWjhURjawW64J2G63pQRedRRRkztpaceSSK1qsYW9upBE/yv/vqfbzm5dv4t3/yPDMoaC7ihndcYLbr+XN9SNTbs42tRdtyFnwNnYYBiM/Xugv9PtOaZmytpEm5fI1ajh+9Ly6r2+SkYeEf/cvH8MKK/n5WpTvQxVfEzqNmJ/ge8/hcptWIDiTCi/eKLqfWVXAe+4yZv/NIik7Vi5RPRuk7Pg/G43uZR9m7mc6K6w0LF3a06HpCEFlD69q4dtaycWHCUhdNkeBs6GfeqOmELG9bq4YHF7OI8vmYeTSfeObRumZQ18F2/ejiY6ukRNXLQeKiWR/oPJIkCYq8isBsFzvhTYkkSfgnd9+Ka+cWfu/R41T/XComcaFfGVU8UkWOxOxvqOdtG6XYqe4k0cX/gtsOouLRyYqKR217qs4jK4fdGpbtRcXqZRUMnny+jW9f7eCplzpL+f2yQnTjiIsQ8ZwoSn6g4/pRSzjH1mgUw/KgyFJ0GFDR01uBfN4JR6OrWvRZNe37VNR5pMjB41Ukdh7RTETnUS/ziM+fUa6fW0Nh2UCQeQSssXjUtkfmHQlFHVv71gvtiff5xsAiEEEJJwWypt11Zw7LBnqZR2l8Vm1E8agZBmK6Xu9CcRPYjh+l6m9X1JHb1kRbakkbrmoqcvovpkbHwW6ld6P6Q9+7h9fdsYP/+89e4KkZzUxkUVTHZB4B890s1tsO9rc1SNJ0JwAic8xZ8PROtD+vovPI9Xw0u+7EziNNleH5+dvYYToedsL3m2V2HgW/d75+FpOIiw5xkbVbsOJR/DORxSMaxbDc6EIcCE6sjZSKMqK7dW9LjYpV026FtBwfityLHCjr849o02Y6rlvQVSnK8WHxaLTrDQsXk4pHYmytsb6xtYMNHFt78vkWfuY3/gZfu9Ic+3WmLa5rcjK2ZrrYKk837RDX27bG4tFcGoYTBU1t0uiaHR9bK48eWzPt5M4jILgIWTSvZZJGx4luSoCg++gX774VJw0bD/0lu49oNsaEzKNFikdnrcknOnGieLussbWXzkw4C3YxTdLsOPB9TAzMnvVUPCvsFItHRQsX7Q6c0JV1GboqFWZsrWmweESTdUy3Lx+jUlKiz5llE9eoe1U12oBrTfme77heVHACwnw/dh7RDK7VTVza06EqEhRZ4ra1Ma6fW0Nh2UDw2lXkIHx81bq2i47p4WDS4V8Bx9ZEgPmk+IDBRSCCmtlta87MYdkAi0cLcT0f7a4btWAW5aJ3Go7rT1U8EqMng8nzwGo6j5qGE93MCXde3sMPfe8e/t2fv5DaRRoVUzvF4tF525k67wjoja0tWmCphRchrge8eGYu9HtNEg9sHUcPOxXzNrpmOT62ww/i5RWP7PD3ztfPYpLBYElJkrBbVQtzCCPyjgAWj2g0w/T6bjSCsbWUMo86NiQJ2Kmq0fXbtEVpy+lt2AWCk3V2b9Msjs8tXNovAQB0VSrcgciyWI6HettJLB7JsoSDbQ21xuqLR/VW8Nl8MCHzSC9g55G4x530c89jYPZ8Y2ssHs1NnCyK8LeitNtPw3F7FxLbZRUd003sIhJja4OB2UDwJphm8chxPRiW19d5JPzi3bfirOXgtx95KbU/n4pnmsBsYN6xNXtiUSVOdB4t+oF02rRxsB38uc+fpFw8ip18jyM6FfO2jcW00+s8mna8JC8My4UsIeqAAILnRVE2lzbYeURTMCy3L0MvCMxOr/Nop6JCkSVIkgRdnb77w3b6O49K7DyiGV07t3DDflAQ0VSZnUcjiALF0W5ykeZwR1/LtjXR7TSpeKQWMPNI3O+fTPi5dwfG8QVFkVNfEDWPYGxt9uJRObzXMRiYPTvRaXTLBnYeBYHZwV/xVkWB7ydXIMUNTylhbC1o40vvMTbCk18RYBv3A7ft4O+9eh+f/M9XR+Y1EQ3qxNYqJ1lobK3tTPxQjltmYPZ/9fIdAJNbchcVBbZO6jwSm+RydnFpu8sPzBbBmNOOl+SFYXmo6EpfxtduVS3M56i42NwqKSwe0UiG5fUdRlRLSnQDsmznHaevcK+r8vTb1tzBziOZz2uamuf5uH5u4VLYTRMULvn8SSJGpC4ldB4Bwca1dQRm16csHmlK8brKpu08GhzHF7I7tjZf8UiWJVR0OZWs58IXj4Y6jwrSbj8N2/Ggyr2xNQCJo2ujtq0BgCIj1UqsuAlJ6jwCgP/pR29Co+Pg0W+ep/YYKD9qTQvffL499ms6XbGGc3zn0axBorbjod11Z8w8EmNr87+GHNfDecfBK2/eQkmT8VzKG9d6nUcT2p61fHYeWbaPsq5AkaUUOo/y9bOYpGu5QxdYwdjaerbILJtYpnG4q+XueUyrE2Qe9Qdmd9IaW2s7fYV7XZWnDuK3HK/vOq6sMTCbpnfasuG4Pi7tibE1mcWjEa6Hn/lJ29aAoHh0uobiUa/zaPLCk6J1HrXCz/NJnUfRIhAtH2NrnTk7j4DgoIPb1uYgOltuOQreDIvSbj8Nx/Ohqr2xNQCJHTxRYHbStjVFgjdh7eEixN/HbiX5je4HbttBRZfxle+weETAJ/78Kv7pb31j7CpOI7zhFRtnBpXnLHpMmwUUJzr/Ftm2Ji4GDnc03HxYWkHn0XTfZ0nNZ+aR6XgoaTLK2vQ3ZeN4nh9lHuWtC2uSwawXICgqFqbzKPw+jnZ1dmjQSEZCYHZanUf1tt3XeaTNkDsTz7kEgswjPq9pWtfqwU23GFsLut6K9Zm2LOLAKCnzCAAOd3XUmnbqC4cGTZt5VMzOo+B7nybzSFOkvvdKIOg8cj1/7P3Fqvm+P3fmERAUj5h5NAfReXSwrWGrrBTmxHQajhPPPAo7j4zhJ5G4iV5HYLb4+9kZ0XmkKjJ+8PYdfPm7jdQeA+XHedtG03Cji5wkHdNDdUTXETD/2Fo9fO84mKPzaJGxNXF6dWFHwy2HZTy/guKRIvfeM0bRc7htzfP8KAuupC1npOO840TvkUXrXgkKsf3Pg92qivOOk6kLrHk1DAeaEoSA560ISqtjWF7fGHRFl2FYXio3hucdB3uxz5hZuj8sxx/uPGLmEU3p+DzIU7wUZR5xbG2Ua+cWNEUamQ15uKPB9fyVH7SctmxoijSx2FDEzCNxfzspa6prDR+KAUGzBIDUl0TNomt58Hws1HnUYebR7ERny05FjS56N0Uw/x5mHoVPvKTZx2jbWsLYmixJqY6tiZPfUZ1HAPD6V+zhyrGxlvA5yhaxJeHpa8bIr+mY7si8I2D+4tFZeKIz07a18PW3yIe0KB4dbuu45aiMF2pmqqdZ520bu1W1L+cmiRYVj7LzQTuJyCTSNRm6Ji2lYCBOIIHptyLlRdJF1t6WCsvxC9HR0DIc7FRVlFRmw9BohuX2ZR5V9CBDMo3nzGDmUdB5NEtgdn/mEbet0bR6nUfFGFt74rkWWilNm5w0LBzt6SOvky6EnT9iU+6q1Ns2Dra1qa7fsjiitQjRedQxvbHdNt2EQzEAUSdSln4u4p59qzz9fUdcpSSnsrG8+MWjWKbOXoGCPqdhu170YojG1hI6jyzHgyRhqIUPCGdA07xRnZB5BACvv7wLAPgKu482nngTnFQ8GrVpDVi882iWzCMxNrpIUSEqHu0GnUem7U2c6V5EcPMy+XssaSLPKT8Xl/HlAMsqGJzEWqTzVEibhmG5Q9lh4sa2CPmBDcPFbkVdWhcaFY/v++iYXv/YWvjPxpK7ekzbQ9fy+g4oZrmBHwzM5rY1msVx3YKuStHzT5+hcJk137raxtt+8+v4nb88num/a3dd/I//4jH8zdPNsV937dzCpRF5R0BwvQZMHqFatrOWjQs7k6/fCjm2Fru/HddsYIzoPMpk8SjMcJ13bG2rpDAwex7NjoOSJkNXZexV1UJc8E7LiV1IbFdEYHZy5pGuyomVakWWkGYHXzS2lrBtTXj1LVuolmR8+TssHm06cbF+5XhC8SiFsTXx3rE/IYgwTo+2rc3/IhInVxe2NdwcBv8/f2LO/ftNct52RrZix0Vjazm66RY3YZoqQdeWc6oqOo8kKV+FtGkYljcUmB0VjwqQH9jsONipKCwe0Ui268P1/P7A7LCzddlBpL1Nl4NjawzMpvRdOzdxKdZNk9fOI9/38ZufeQa+37vHmNa1cxPfebGDz33x2tivOzkPOo9GOdwJ/rfTFU9MnLXsqbrjCzm21nWjuIVxRbuu7SV3HoU5qVnauBYVj+YcW6voCjuP5tEwHOyGhYm9DRxbU8MLiXHb1kzbT8w7AsLMozS3rRkuqiUZqjL6qagqMl57+y47jyi6WH9mTOfRYD7FoPnH1sIL+ykKK0I0trZIYHbTRkWXUSkpuPUoKB6lGZodZG5MUTzK4bY1cSFcUuWlFQyi4MxdPZcX2uN0EzqPRJdoEbp4G4aD3aqKkra8zXtULGL8YXBsDVh+8agebbrsH1ub9n1lODA76DwqQj4Zpe+4buFSOLIG5Hcj1yNP1PHFbwdLdmb99RMsBQAAIABJREFUTBbdyY88UR/7ujlp2Li4O7rD5zDs/qmteOPaWcuZGJYNBNemWeqwWYam4eC2SxUAwMmYn7uRsEUW6GUeZenn0lq0eFSSGZg9j6bhRhe7m5Z55DheVEktacH2qXZC8chyvGhz0iBZTjc8LDj5nXyjeuflXTx9zejLF6HNIyroVxYYW9NVCZIEmDNmQdTbQZfCuELnIHUJgdm1phW1Id94oEORgedOUiwete3pikdLKIytmrgw1LVgbG0Zp/InDRvbZQU7FaWAY2vDhdjdAo2ttQwH2+VwbM3J1pYVygYx9hUvolbD18Syg0jFa2pvYGxt2vGS4c6j4DHnqcBP63Pt3MKlWDeNruavqO64Pj7y2Wdw61EZe3MsQhCvlWvnFr79Yifxa9pdF23THblpDQhu9kuqtPKs1tOWPV3xSJUWui7NolbXxcvD4lFtzL3iqMBscb+cZsPErNpm8Jkwb/Foq6Sgk8LocuGLR42OE23y2ttS0TScTCWpp8l2/Sg8UZIkbJeVxPA4y/GiLoJBaW9ba3ScsXlHwt95xR4A5h5tOvEmeNq0R3Y+TCoeSZIEfY68m/O2PVPeEdAb7Vq080iEL6qKjBsPSql1Hvm+P3XmkR5mHuXpxkQEZmtqsG1tGZ1CtaaFo10dujb9TV5edK3h9m5xY1uMziMXu1UFpfAmu2jFP1qcOLXt37YWPF+6Sx9bS+g8UqSpn5e20595JE7XmXtEk3iej+vnFm7YjxeP8veZ9nt/dYwrxwb+l3/wMlTLCswZ39Pj1wSP/O1Z4tfEu41HkSQJF3b1lXYeGaYL0/am7DzKb55VEtvxYNoebj4sQZGlsT/3pC2yQCzzKEM1gkUzjyqlYGxt2QdjG1E8Epu89qoafD8596eInIHwxO2KMmJsrf+0Kk6R0w3MDsYKJxePXnnzFrZKCr7M4tFG61puNLo1KjTbmFA8AjDXyFK97cy0aQ1A9Ppb5ITndCAA8ZbDMp5PqXjUtTxYjj9V51Epj5lHsc2S+tLG1mwc7mrQlWLl5vi+HwZmj+g8ynnxyPP8YNtaGJgNpLM9i9bjC397hv/5I48vfPglRtOSArOX33k0vJRhlht42/WiLZhAbESbxSOa4LRlw3F9XNqLj61NX7jMglbXwcf/+Dm87o4d/LevuQB9jlDo3jWChEeeqCd+zXVRPBrTeQQEo2urDMw+DaMVDqY45FSVfI4kjiLubXcqKg53tLFTKiM7jzI4trZo8ahaUuClsBm08MWjptEbiypSu/00bNfvG7HZLqsji0ejMo9UWUp1LXjT6HWGjaMqEl57xw6+8p3z1B4LZVtwM+vh+27dAjA696hjeROLR/MEiZ7N0XmkLiEw+7RpR+GLAHDLURnPpzS2lnTyPYroVszTxaU4VRRja8sofF1vWLgYdR7l52cxieX48HwMZR6VtSBgutFZbZbDsnVMF54P7FTVKNiexaPi+NtnW3js6ebCYaGiQFSNdx6VREdPSp1H8bE1bfrAbNvpdZsDsc4jPq9pgmv14GZ7qPMoR6NNn/izF3DWcvDOf3hb0GE+xwGR6KS+61X7ePyZZrRlN+76efCzGheYDYTFoxWOrYnHejDFtjVdleDk6O92EtEUslNRcbirje08SuqoBhDdL2eq80hk7s05tlZN6aBjM4pHsbE1oBjt9tNwXK8vPHGrrKCd0HVlOX7URTAoGFtL7SFG226m8frLe3jmejd646bNYtoefB+4fGMVmiIlblyzHA+O6yeeKsTN03l0Plfn0WJja44bjJENdh41DTfazLNMSZkbo4iuqjx1Hpki80hZTmC27/uoNSwc7WrQVSkai0vbleMO/v3nr6b6Z/Q6LoZfS0XYXNoM1/rulHudR0ULPN9komCyaOGkO67zaMkdPedtBxVd7usE12cIzLYdL/rMAWKZRzl6j6b1OD4PNrheihWPNFWOcgKz7sVTE//hL17E33/9Eb7/1m0AQYfxvIHZP/oDh/B84NEnh7uPxD3IuLE1ALiwo0fdQKtw2go+kw+muX5TZbheupm2q9QKP8+3ywqOdvSxnUdJHdUAIN46M5V51HWhq9LI6aBJRNFp2aHZhS4eOa6HjulFp+hFabefhuf5cD30j62Vk8fWLHt05lHagdmNznRrwQHgzlfsAmDu0aYSlfOtsoKXXSwnjq0lbcZJMmvhwPd91Ns29qeYJY+LxtbmvCmtt234PvqLR2Lj2ok51+85TrQqeorMoyA7avobmyywo84jKdiwtWCnUNNwYTk+Dnf1YK3xim7S/vDLJ/jNh59Jtb1a5KQkbSUpwvIJscJ5p6pExSN2aBSHeH9fdCNar/MoVjwKO4+WvQK5nrCsQFNmCMx2/aiLDmDmEU2v13nUG1sr5ejz/V//wbOQAPzTv/+y6Ndm6doTxPf7g7fv4MK2hi88MZx7dL1hYausTLzOPNzRUG87K+vwqYuxtSmuU5exzCVLxGHQdkUZ23nk+z66todywj1v1HmUseLRvGHZAFANPwM6S+6SLXTxqNERM5DBD36vQCuGJxFtd/H5960RxSPT8fouOOLSDMw2bQ+m40+1bQ0AXnXzFrbKCr78XY6ubSJxE1DVFdx2QzVxbM1IuNBPMmvxqGMGWUCzdh7JsgRFluYeWxPz8ofb/Z1HQDob12bpPAKCtva8XFwCvZZ0XV1O55E43Tra0VeaDyE+wxwvvZ+9eL2J7oW4vaqKRsLyhTwRj3+3okYXkuzQWI/juomf+/DXlzriIf4uFy2cRK+DWBFVdB4tWpga1EhYVhB0NM4ythbvPBJF0eWvaqZiOa5b0FWp7xpHU4NcnKxvofzGs0388VdP8D/8NzfhhoNe8UtXpbm3rZV1GX/31ft49Mn6UDHh+rk1sesICIpHvg+ctVbzWXk6Q/FIHGw6BRm1F1M12xUVRzs6zsIMr0GmE0wwDI7jA71ta5krHs2ZdwQEgdnA8g86Cl08asYuDoHVZR45rr/y9YyDxJhMf+eRivaIbWujMo8UWUrthdQ7+Z3uRlWRJbzujl18+TvsPNpE0UV8ScFtl8p4odYdutnrbcZZbvGonhBkOi1tgdny01bwPhLvPLr5MLg4SiM0e5bMIyA42Vu0e2eVRHFHV+Vo494iF8bR1pU9baWFNPHemeZFjhGtKB/ReZT3sbVO7/OHgdnr9e2rHTz+TAvffTE5x24evc6jxf5Ok7pZFVlCSZVSCMwe7sTWpgzMDrrNuW2N5nPt3MSlPR2S1Hv+iFGZLOca+r6Pf/WZZ3BhW8Nbf/Tmvv9NV+WZt8HGl2q84fsP0DBcPP5Ms+9rThr2xLBsAFFW5aruB+stGyVNnhjbAMQiFTJUKFlEMza2dmE3KNol5VV1zdEd1b1ta9l5v+yYLrbKsx1ax4nPLY6tzaAxUJzYqaiQJKSSFRL38F9fw0/8869GF/jrIFoR1YFta+2ElX3jtq2pigQvpVMHcXo+zbY14fWv2MVzJ11cO1/+yA5lm7gJqOoybrtUhedjKDhatGZulca/tc1aPBI3yrN2HgGzrVoeJFpv48Wjsq7gaFfDCxkoHi0rdHpV+sfWFr94OhGdYeHY2qoCs6POoxT/vG7UcZHQebSl5r6DN555pOdwc2CRiPfiZV7gipvGxTuPkouoZV1JJTB78DOmpAXZJJMKxeJ9LGnbGscxaZLjuoVLsZE1ANFEwrxj96vw+a+f4rErTfzC3bcOjfeUtNmvT6IDJk3GD79yD4os4ZGB0bXr50HO4SSH4deMC29eptOWjYNtta8AOIqmFmtsTQRmb5eDziMAiblHxphx/N62tbQe5eza5oJja+G9EAOzZxCdLIbFCUWWsFNJ/6L32rkJw/Lw2JXm5C9OibjQUAcyj1xv+CTOGrNtTZGl1MLDouLRlDeqAPD6y2HuEbuPNo5ouyzrCm67VAEAXBkYXet0h8NNk8xaPDoTnUczZh4BvdbveZyK4tF2/ynXLUfllMbWbGyVlL4bkHE0dfZVuOsk/s51VY5y3hbpNomPremqNPMp57zEwUiaW0HETXcloRC7Wwkyj7I+zjBOUuYRO4/WY1n5REm/56IFHsMMAkvjm2uB4ER3+YHZSZlH093Ai/+9b9taOHLKziOa5Nq5hUsD3TR56Dz62B8/h9tvqOAf/teXhv63oBt4xsyj8H1DUyRsV1S89vYdPPJELzTb9/1ow+okh+Ghn4gfSFu97Uw1sgbEMo8y/Hc7CxHJslVWoqLdScLPXYzwJo6thT8TN0OdR4uOrbHzaA7iAjt+ir6KLTGiOPPVp9ZX4BDFo/jmje2w9a01sHHNdPyRnUeylF7m0eBY4TS+96Yt7FQUfDljodl/9JXr+I9/8eK6H0ahRZ1HJRkvv1SGJGEo90h0Hk1aa1lSZx1bW6zzyJmzqHDaslHW5b410UCQe5RW59HuDN/jPG3h62QNZB4BCxaPmjYquoytshJ2Hq1obK2z3rG1vS0VjusvPBK0Tg3DgSIDWyUWj9Ytlc6jJW1bMyw3sfuuUpKX2nnkuD4ahpuQeRTewE/oEIg6j5LG1ph5RGN4no/r5xZu2O8viGg56Dx67noXb/z+g76DciEYq58986ikSlH3zhu+7wDfebGDl86CaYfztgPH9acaWxMd46saWztr2bgwZfFIy2A49CJahoOtkgJFlqLOo6Sf+7jrGiWTmUfOgoHZLB7NrDHQeQSExaOUO49Eh8TX1lg8Eq2I8VOo7fAJKFYaCkHm0YjAbEVCWl2NDTE2UJ3+hdHLPcpWaPYfffkEv/vo8bofRqEZsTyjsq7gxoMSrhx3Br5GjLZlKPNImT8w+7QZXAwMtiHffFjGScNe/thEQubGOKU5tpmsUzzzqKwuXjCoNSwchSeQ4pRzFd04jZUUj0af0O0WYPlEs+Nguxy0+LN4tF7dFItHi3YzGZY3VLwHgtfFMh+vOEwb6jxSp+sQiBfGhSgwO8dFXkrfaRgufGlvcGwtfF/MaPHIcjzYrh/d2wwqzRGYbTn926ff8P37ABCNrl2Lcg4nF4/KmoKtshIFWafttGlPfY1avLE1F9vhcqyxnUdjxvF7Y2vZuaZddGytws6j2YlMg91YcWIVK4ZFZfOJ59tLv7mblrjQEOnxAKInYHzjmu/7YzOPFBnpdR4lFPemceflXTxfM3F8lp3co67toZ2wyY6WZ/DE4LZLFTx9PNB5FBWYlp95pMjSyIuUcbQFgpRPm3Zf3pFw61Gwce2F2nJfA+ed2YpH82wzWSfL8aDIwUWCuEBcJOT6eqOXfaAvIUNpGp7noxm+16R5kdMdkw0guiPyHJrdMJxoE2uUDZPRm6Siiwo9S8xlWNa2tY7pJhZQK7q81McbbboceP/tjQ5NGltj5hHN51o9KIgMdh6J594qRpu+9UJ76HpuEnHNvT0iUHieJRbWwP3QbZcq+J4LpWh07eQ8HFWfYmwNCEbXVjG25vs+6m176rE1rWBja03Dia7PdVXGbkXBaULn0bjrmiJuW9PVYOPzsrvEC108anQcVHS5b1Z9b2sVxaPehf3jz7ZS/bNGiTKP1P5tawD6ihyO68P3MTLzSJXTG1tL6gybxt95xR4A4Ctr7Owa1LVctJdc2aV+0UhaeCF/26UKnrnehRd7fori0aQ325kzj1o29remCyIcpCnzbyysNa3ENuRbDoPi0bJzj5IyN8ZZ5YaxZbBsL7q5Wka3Sa1hRxeR4iQv7Z9HsPQg+Oc0t4JM03mU9mdpmlqGGy3TEM+FPBVCi8QMx6qW+Rm6rOJR0HmUVDxSlprRJBa57G0lj61NusmLus1j4ztyuBWOnUc0znG4gObSUPFoNZ9pAPC///Z38eHPPjPTf9OO5dwk0bXZu4FNx+/rPJIkCW/8vn188dvn6NouroXFo8F8qFEOd7SVjK21TReW4+Nge7rrN7Vg29ZaXbeviHi4qyd2Ho0bW+tlHmXjZ2I5HizHX6jzSJIkVEvy0psbCl08ahrOUBjzbnX6wOxvPNvEj/5vf52Y2D5O1/Jw26UKJGl9o2tJmUdbFdF51Pv+zWj70IjMozSLR2GlWJFnuyF/xfdUsVtR8KUMja51bQ+dhE12tDzxwGwgKB6ZtoeX6r3uG8NyIUmji6FCOVwxP+3fV71tz5V3BCwYmN2yo9DFuJuPgvbyZece1dvOUObGOPMEUq6TFct3623YWmTbmoVDMbamLP77TSP++ZXmqWG0lSThtbQXFY9W046fhobhRHl7HFtbrzQDsxf9PTumm3hKXSnJSz3NjTqPtgY7j4Lro0mjQ73Oo/7rqZKuRMU5oiS9zqP+sTVthZ1Hp00b5wmr1ccR9zKjbq5LcwR+W7YX/XfCG77vAKbt4SvfaUT3g0nXZUkOd/SVbFurt4KfxdSdR6rosinGZ147NrYGiKJdUvFocmB2VjqPOhOKo9Mqz3hYPo1CF48aHWeoq2WvqqLddad6wTz+TAutrhsFpU3LsDxc3NPxiu+p4qtPrWfjWtIplGjpi1cgxY3O4JuloKRYPGoaTnTyOwtZlvC6y7v4SoZCs7uWB98f3mRHy2NYXrj1JnhO33ZDsHEtHprdNj1UdWVih1B0szjliVq97cy1aQ0IPpDmOblzXB/1tpM4trZX1bBbUfD8EotHjuuj1XVn6zzSctZ5FIZhAouPdLS7LgzLw9GOGFtbTbhovHiU7rY1FyVNhpxQ3BfPkbxnHonrA02RIEksHq1LGoHZ3SUFZnctLzFDb/mdR8lja70b+EmB2eKar/9arqzJ7DyisY7rFjRFGjogm7ZwuSgxcjVr5+E0nUfAbJ1TluNF37dw5yt2UdJkPPLEGa43ghzKaTfSHu4mFzGWTeQqZW1srWu7K+nkCcbWes/fo109sfFDvBcmHTBHgdkZ6TwSr4ekztdZzDppMY1iF48SOo/EqXqjM/lN6jjsaJi1IBDMyMt47e27+PozzbVUdkWng6oMj63FA7OTQhbj0iweNTrOTJvW4l5/eQ8v1MyZC3tpSSPwk/oZZv/Wm9suBcWjK7E5ecN0E8NNB83aaVBvTR9EOEhXZThzfEDX2zZ8Pzi5SnLzURnPL3FsrTHi5mUcXZVydcNtOfGxtcUujE8GgjNXFS4qgnWB9LetJbV2A8UYW2sabpR5JEKz8/RcLpLe5+fyM48WPdDpmG5ihl6lpCw180gsZRjVeTSpe6K3DKD/xres83lN4107N3FpXx86dNOnLFwuyrCC8ZzBZT6TRMWjETfXUfFrhue/aXtDkxhlTcEPfe8evvBEHdfPezmH0zjc0dHuuqnn39ZnLR6Jv9uUu2ze8sHHVrKJuhX7PAd6nUeD0wXdaGwt+51Hk4qj05pn6+AkhS4eBSeL/T/03Rna7V86C24OjBkLAl0rCFh83eVddC0PTz7fnum/X4aohTl2ClUtyZClgbE1W4ytjdi2Jqe4ba0zXNyb1p2v2AUAfDkj3Udm+IbE0Oz0DG69OdjWsFdV+zqPDNONtguMM3PxqO3MP7amSHNttBAnSUmdR0CQe7TMzqNe5sZsmUdZXuM7yHL86O9+0ZybXvt6f/Eo7ZO8htGfWZeWoHg06qJcRkWXc9t55Pt+0PkaO7zIW35XkfQCs5fz+SkWgQBY+KbNsNwRmUcyDGt5o+piKcPgjfD/z96bB0uW3eWB391zfXtXlbq6urtKQlK3QGoBpuUwwziGGYYJWUgBg5AjwMEQDBOMLAgTYJkxZoJhGXtwEGNwhEDgwRhMBMLyWCAWswxBGA0wCNEtcLck1FWtrqruqq635Mv97vPHvb+TNzPvcs7Nc16+9/p9EQpQ6S35Mu8993e+8y3cyiMqSclTHl2QRxcowf2et2RZA7Jh7WqfaWTZFFYeueWba4czbD6LRJ28vDX+W09s4ZVDF8/e6nM1rRHI3qZafcSUR7xta6Q8UihucP0ILx+6ePlQbrzCIuI4TtvW5pVHbk6R0YS1rRVnHp0W8mjIyNF6ew+CY+nS8xzPN3k0CZeULSJye8pSGQsOHxMvQtPR8dT1LgDgmTVY10h2lw3M1jQN7YYx17ZGbGRhYLah0rYWLpF7vHjDlRY2WiY+JTn36Gjo47nbYiHncRxjqiDw8wLzmHjLrTePX27i1pxtLX/QX4QIeRRGMfqT+uSRaWi1TncO02EjLzAbAB7Za+DekStN2Thr+xHLPHLPUuZRpkmFKYVqk0fJ58Pa1k5I4j9nW1Patpaf9UIQyQ88bXD9pOI5a5s+r5vsW/fHwrmNJw26B2U9P7Ob3ZUDs90ot9a5ZRuIYnn3+/E4wGZOKQNvbgttApeVR8aFbe0CpXj12MsNgGZ17oqfaaS6G7vhXAFKFbhtawI5hN5CYDbhbz2xDSDZt5xG8qg3oswjvjmVhAUqD7voQFL1+jP1IoTRfLA0ve+LodkTL4kuyMvaNfXkPTktgdn0PKzT8pzFhW1NEHm2NaY84qgYpip40Qt/6iXDxt6GjWt7DTxza3V1zL0jFy/cG3N/fRAsZx4BiXVtOJd5lJJHBbY1XVN3I+V9PrzQdQ1f+voNfFKy8ugX/p+7+K4PPy/0PUEYM3XWhW1NHfJsNI9fas7VuxY14yxChDwajAPEMWrb1ixTr/WApmGjTHkURsArkqybLHNDgCRzrHp5TutCYlubzzyq+/r3B/OVvScl8R+cUOZRmW0NSJ6lPM/R04h+av3LHi6dV9va9/+bz+Hv/8xzp1ohSDOWLOVR9nNchRCM4zhRHhUEZgPAVJJ17Xicf0DB2+JYFEHgnFNS9AJyEEUxHhx7uLy1TIiclBWbZo84FjusrySPaiiPXH858wgArmw7eMPrWgBmz3we0Px2eALKo6at5xLdeWDEoMIDKJoPVK8/tKfNKompyGSx6c71QzgF79FpUx6NKgLheeGYF7Y1bnhBhKkXLQUyb3JmNfhBhP3BjA3nBQ0bNHQ/daOLZ272hdj0RTx3e4hv/olP4wf/7V9zf09e5hGQXITDTGYGGzgKlEeGriGOsdLrz0Mcx3OBpXXwZa/fwCuHLiP5ZODekYvBJBCSomcXxgvbmjokWWLLyqPeKGB+b8obq4IIeXSUnorVzzyqaVtLH3pF5NHV3QYA4M6+JPJoVCfzSL4cViWykvRVG7b2jz04psbUk9YJSfz7c5lH6t77PKVfFptnWHk0SDMPs+0s55U8Gk5C3Lw3wc///t11v5RC0GArq3Ai+zmuEmrtBhGiGLlWaLo3RJXpRTge+blrL+8GOAjyZ74kMPtiLrlAPg6HPoIwxqXNYtuaait2L9OyNhLIPRq5IQxdKzz8rpNrWGRbAxLrGgA8JEAeka19kcSQjd7Q5847AmbrhMpDBVJDqVYeUQ5kh1N5VLRHOHWB2ZIyjy6URwKgobaube3VYw/EH4gMNGzYSAeLt1/fQH8SzoX6iuCZm328/0PPoT8OhIgJIo8WmzfaDWPu57g+hSwW3EzpAiNbfTT1EttAXeURALw+PQX4wgN5ftokYE3sYZNdGC+UR+ow9aKlIZ5Cs19MrWtjNywMT8xChDigB+BKtrUaw9fhwIdjLmdgEK7tJeTRXUm5R3UyjyxTRxSfnpOaKmQl6Y4E29ruxixk1OZUCKyKucBshUN9oqCtUB6dVfIoR3l01sLfeeGHETQN+Ne/fxeff+Xk8xd5INu2Nqc8WmHjQoHYuW1r6bosKzS7NwqwmXNAMbMOVQRmh/mzXMO+UB5doBiv9hJSI095xKt6WxVZBetQYA0YTQN0GsXtuox4Fbj+vWA5MJvwt79kBwDwWDp38mC7Y0LT1NvWjoZ+YcRBHmhvqHJ2o/ng5JRHs3V6r0B5VJblSNvldZRc5aEqEJ4XF+SRAGg4XFS2tB0Dhq5VDr3UtAaISalJwkzM5ttfnwQ7/8VNcXvVn362hw98+Hnsblj4m2/eElrAA1bbumhbM+YGNLfCtkZMbCgpFJKQZxsQxdWdZPMsM4yNpKUiAyflHQEXyiOVyFMVLZJHKgKz6VRM5FQnC8vQaz2gD4c+djaWG1AIexsWHEvHbUmNa0WBrWWoE0i5TmQl6faqyqOBNydfr1MLXAf9cTCTV6u0reUo/bLYbFtnV3lE80Fr3ramWjW2DvhBjP/27XvoNg38yK+8cCqJ3mxgtowAavp5urYaeUSHQXkn1fRvqyibsjgeByspj/yCqIJEeXQ21ucLnDzuHyd7nUsltjXVyqMseSSiPBpOw1JVRp1nsufHhYfpb3m0i1/7gS/F2290uX+eaejYapsnEpi9JUIenYBtjWZn1crHmb1rtn52mwZsU1tSHpVlOWqaBtPQTs0zcuyG0LX8cG8RqCgDOb/kUSpL32jNLyyapmGT48SUmtYAseFgslAD+PCOg4c2LDwjSB794V8d4nv+1Wdwba+Bn3n/W/DIriM02DLbmpmTeZRjWysMzCbySPK9nze8i+LSlg1D16QpL4AZSy1EHmW+9iIwWx2mOTaaK9sOHFPLKI+W1Ul5aKTXO8+JSG8ongWUhW3WywU6HPjYLRkGNE3D1V1HovIoP7C1DNTSeFasa34wC8w29GRQqEseHfT9ucpe2xAP56yD/jhgJ4zq29aKRwR6jspqmzpJUGPdayHzyA8i7G3Y+N73XMdzt0f4lf+kvjZZFPS+R3F9Mjfv5220zLnDHVGwWucy25oE5VEcxzgelZNHVRt41rB7oTy6gABIeZRvWzuZEog525rLfyAxqiCPZupi/meUW6I8ApKZU2RGAhLr2oHi0oLEtiagGj8B29pJZR4NJsvB0pqmJe/7gvKoSlF9msijkZtc36LX2yIulEcCYMqWnIdxEvRZzgJT09p2xxQaDohooqFb0zS8/cYG/uJmn3vI/o+f2sc/+oXP4o1X2/jQ//wkdrt2GroroDwq8L93mkZuYDZtAheh62psa30i92q2rQHJ5u/hHQd3D+RkvozdkH3WYsqjC9vKEZtXAAAgAElEQVTaSWDsRWg580uWoWt49FITX3h1gjiOMfZCtJ3qZa2O8qgueWQaeq3TnYOBX5h3RHhkt4E7EskjUWveSQVqyoIXzJ8qJmqTura1ReXRyTTTDCYhuy7W2ba22TIRRvGZJMwpdPy1kHnkhzFsU8N//dQuvuot2/jp376N2/v1bPSq4M49Q1f/DOiZvNW2VrKVUZ7R4nMHmM14Mk7VR26IMIpzc/V4N/CUq2ctHBg6lgH3IvPoAgW43/NgGVou8WDoGnRN/TPteByAyq+GIplHVcqjGspoz0/auGRit2spDcyO4xhHowDbArmcJrWtKQ3MPpm2tbzAbADY3bBwsJR5VK6oNnV1DeOiqLq+eXFBHgmgyLYGgEt5dP/IxU7HSoYPgQcv3SSNzEnVUzc28KDv4+XDapLjP/zJffzgL/813vp4F//yf3qS1WaLys7YILGQedRpJOQREVk0kBRmHqX/LJ88Kib3RPDwjiPNtpZd3Ot85sCFbU0V4jhON7PLC+njl5q4dX8C148QZ/LGyiCaedS0dTSseou4ZWq1PNSHPOTRXgN396dSAu2LAlvLcFKydllYPFV0zHoP1akXYjgN58mjEyLSTlJ5VNbcQmv3WbSu5c0H55E8CsIYUZyoUTRNwwe/4QYsQ8OPfeSm9BKMVeD6EcurkGEDo89xs2WuRO5QZEHefUCtnjICs1lZQW7bGl+L40x5tGBbs3W4QXyqPu8LnB68euzi0la+PV7TNFimejtvbxQw25zIYcSoIuNSVBkdRXFKtsvdGu90LaW2teE0RBDG2K6YF7MwdEDT1Ob70D5b9XM1LzAbSEi7/MyjM6I8mvJluFYhmW3k/k3nljwqCswGkqG3auC91/NwedtG09aFArPH3rJH/u030tyjilr5j/3pffzYr97EO960hX/xPz4xxzjapoYw4idxAhaYvWxbC8KYbXBY5lFJ2xognzwqI/dEcHW3IU15lF1kRGSWF8oj9fCCGGE0G9izePxSE68cuThMG9fyvmYRosojES/5IixD7N4Fkq/tjaoDEB/ZbcANYlYbvwoS25rY38lyg86I8iixrc3WRMdKNlaiIB/9XmZYOykirT8JWP6WqsyjIEyG6LIhi8ijbF7FWcFgEqDdMNjzDahPJJ5mLGYfPrRp47ve9Rj+/IU+Pvanr67zpc1h6kVMdSNDycbIo7a5EnEyLgnMbjDl0erXDG2y8sh7Q9dg6NUtjl6Qf2DYWDHb7QLnG/d7Hi5vLVvWCHVt9yLojXyWYapCecQ7n3hheft0XSTKI0+ZxZtmXxHlkaZpsGqWufBi1ramOvMohKEvZwPtbdjLmUd+VLjfBZL19jS1rWVznOrCsXSEUSyVFDv35FEnT3nUNisH3ntHLq5sOWg6hhAhQERTdti4frmJjaaBv7hVTB7d3p/gn//fL+IrvmgTP/4/vGnppIv39InAMo8WyKN2erpHCzQNJCdNHpXZCkVwddfB8TiYy3Gqi+zJgMhiR1+raxfKI1VYtINm8fjlJuIY+OydpElIPnkkbufKgt27Aic8vZGPKEal8ujqbjJw3dlfnUAtytwoA8m7z0rmkedHS7a1Opuq/TS/YHdOeaS+mSYIY4ymISOPVNkJpux+KwnMPsPKo/4kXDpYOo/KIy8nB+fdT1/Cl79hAz/561+YKwZZF8L0tJ+IcpGCkiJkySOgfuYGuw9ybGtMeSTh9R5XWKN5Ygv8MIahY44QBWYbKpXXtmpb0wXU4dVjD5c2i6vnRSMz6uB4FOB1Ow40rU7mUfHM4rDAbL79C+UVFhUI1cVu14YbxMr2B71hvVIXq2akAi+YbU1129okQKexnNe527VwPA7mrt+87NQsTpXyyJVkW1uxWTgP55Y8GkwCtB1jiTwBkqG3X0I2xHGM+z0Xl7cdtGxDLP+GyZxnb62ua3jqxgaeuTnI/Z4oivEjv/ICTEPDP3nf63Mlk6IMehDGMHRt6WYiWR8tYrTpW1QoEZQpj8YBNG31CkLaPPNYAquQ9caKfOZu+rXbHetCeaQIE9ZimK88AoDnbg+Tr1GQeZSXRcELurdEatXJQrnTLR7qAODaXnL9rxqaHcdxYdtPGepkCqwLcRzDDeK5wdA2tVrE1376+WQDs60TeC+IJN9RrDyiQ5CyzCOmPDqD5NFgHMzlHQGkQjv917EI8nJwNE3DP37v6xHGMf7pv7u59sBzuv/IciHjGUrrOq3bddVBYzoMzA3MprY1Ccojsq218p8zNod1yA+ipbBsAMxurWoD92d/fYyv/id/hqOh2japC8hHFMV4cOzhck7TGsE5Adva8cjHVttE25nPZK3CaBqU29bomcx57dOzW7byiA4BVVnXmPJIIDAbIKJE3TOPlEeJc0DdNTSYhEvPcwAsVmA+kuS1Z1tj9k2J8825JY/6k7BQ1bLRMjH1osKN42CSBCdf2Upsa3WUR4ub3Keub+D2/pSdWGfx7/7fe/iLmwP8g697vFA+SqfavBLDZJBYJoSIpR+m1YZukITDFaW5K1MejQN0myYL5K4LkrrKaJzK2tZEBkIayna61pkMjz0LyLODEh59qAlNA567nSiPeBZbkaatlZVHNYIJ6WG3W6E8urJtw9CB2/urXf9jN0IQxsKh4LO6+9PxsC0Ds/Iu2tbqkEfHyVrxUEZ5lNhLNKWDNh16bCsOzJ7wKI/aZ1l5FBQqj9ZNpsgEy8FZOBy6utvAd/53j+ITz/fw+58+XMdLY6D7bzu9nuQEZifXL5HhdXOUJjmHgQTT0GEZmhSlFLOtFay/PNYhP4xzDwFl2uvy8NKDCaZehFeO1q9iu4AYDoc+gjDObVojWKamVHk09UK4QYzNtoVO0+BW5/hBBDeIK2xrYm1xtBbZkgOzaX5UddBCjcDCyiNTU6s8SkUCgNrQ7OE0yI1AofmZYh2S7NSKtrVTFZgdSAvMBi6UR1wYjAMWwLgIyvUoGnqpae3KdmJbExk8iuw1T93oAgCeuTWvPrp7MMW//I2X8I43beJdX/FQ4c+1BWVnQZQ/SCwpjypqKRl5JJkTSYb31W+Kq7vJQ09G7tHBwGcB4UKZR+miuNOxzqVtLQhjfPz/e1XpCUUVZvaB5WvGsXQ8vOPgeaY84ruueImD3nBF5VENOxOdJFXZ1kxDx5VtZ2Xy9Hic2iYKTr6LwEjtNV4bvHBzThXtmmqT/b4H09CWNnuq8yEGGbuvoas7IWMV5WXKo+bZVR4NJwG6C4dLtqUjjtW2z5w06L7MUzO/9yuvoNs08Mm/Pj7plzUHRh4psK0x5VHNoZkODotIVNH5sAjHo2STVZQBaXEUphQpj2jjQISabJAq+CySyK91vNpLNtWXSpRHtqlWkdkbzfK+RJRHdFC7GJKchaZpQupiusdk29ZUl0sc1rWtmbqyzCM/iDCahkwlrWr9AZLA8DyShWIFyFVCz4WyIpBTpTxyQ64YjipckEcC6I+Xh0PCTG6fLyG8n56gUOaRiAqFyf0XrDNvfqSNhq3PhWaTXc3QNPzjb3x9ofoHEA9j9YN4KTgRmC20tEC7CxkgizBSAiqUfBo7mISFn48IOk0TGy0TdyU0rh0MfKb8EmpbSxfFna5c29p/fmlwKjIp/ui5I/xvv/IC/vCvjtb2GsZu+Wb28UtNdk3nhZvmgYc8mvohJl4kJfNI5IFED7tdjmHgkd0G7qxKHpW0/ZRBVBa+TuTlGTTqKo8GPna71tKabSvOh+iPU0VF01Q65LDW0JJ7yTJ1tB3jTJJHg0m4dLjE8jHOwLXMC1LB5dn3DV1D0zbWnlczDebJI9mB2UD9wNaJl4SrLuYIEUQLVYpwPPbRbeTHLACAzRFsW6g8stQqj0gVfEEenT3cP07myzLbmm2qDlVOZp2ttoVOw+Q+gKWvq1JmiDRV04wg27ammjzqjXy0G4ZwS5xlaMoO/mguuLKd7KmUKo8mQS6JSLECFDMw4TgUU3koJ4IwijF2I7mZRxe2tWrkydIJmxUtMfeOEjaeta25IbeUfeKF0LVl5to0dHzJY108kwnN/vd/fB9//kIf3/11j+HydrFsFMiEsXLe6H4Y5Q4iHbKtTWbkUXnyfPJ/VWQeFX0+ori6u7ryAkhsa5ShJJRz5SUNTt2mKZU8+oc//1n8q9+9I+3n1cWz6TVLmULrQJnyCJjlHgF8gdlAslmsOpGmNUJG5pHIAHY49GCbGteD45G9Bu6saFsra/spw1lqW6NNcta2Ztds2Droe8xPn4VtakotfDR8dlvJRlNd5lGxTTQLnubS04j+ZFnmPlNonP5rmReUs1a0qUiUcusdlBdVQjLIGNePYOiz9bPuxmXihWiVZOi1BAtVinA8Km+65FEeeUH+QSCzrSm6rkkpdhbXgdc6Pnc3sfqX29b4yZc6mM1YJtoNg0VqVIGbPBJoVGXq5DOmPDoa+Mz2KwKVbWv0uRIxqfK5OpyGuarNnY4FTUvmNYDPjq9yrhIBrasXtrUTxiBnOCRUtcTc67mwTQ3bbQst20AU82+OkjAuI1dF9PYbXXz+lTEGkwB3D6b4qY9/AU+/cRPvfvpS5c+1BE/4gzDOJ4+obW06CzIrJY80sq3JvZmOx8HKTWuEqzsNOba1vo/LWzZMQxNrW/MjNCwd7Ubi15aRmRGEMfYH/lyI97rwbGq1XCd5VKk8ujwjj3gCswE+1QkbbASDCLNg5JHACc/BwMdOjrIlD4/sNjCYhIVKSh7UVR45bF1a/8O2Cm6OJN2x6g3G+31vLiybYFu6Ugsf2da6TTPx5iv6XUXZfYvYaJmsUeWswA8iTL1oaT5oKGgkWTfosKmoEEP19coDer+7TQOGrkkLzG5Y+sqh1mM3LFXfNWxdyol6r6Lp0rGqW5H8IM7NuWSB2cqUR8nPPYsKxNcynr3Vx7/+/ZfxVW/ZLrXH2wqtTUDGttY20WnwZx6R0rztlM8sjqmL29YsuZlHSROYWtuaqGUNSG1rilQ2NI+Sm8MVXH++8GDCrQAaTsJc5ZFp6Nhqm0x5xBTVJXte09BPhfKIkaNSArMvyCNuDErIic2Klpj7Ry4ubznQdY1tRKecIY5TLywM43rqxgbiOMk9+pGPvAA9bT3h2SDOWo34LuqgQMJMqoxhpm2Ny7YmW3lUQu6J4uEdB68cuSu9xiiKcThMrCgNDkVKFkkAm4GWkxKNEm7Q3shHHM8kvevC1A/xmbsjaBrwmTsjRGti5OnEoMiSdv1Si/3/Isqjqs+KGmRWyzwSs5wCSWD2DucwQGq5u/v1CdS6mUeWgCLyV//oHn7y118Ufm2ykNekUld59KDvFyiP1DbT9DOZR6ahLuySyPNF+/UiNs+g8miQqm7zArOB80UescDsQuVRvetfJmigdywdbUesoKQIpKgm4qfuqffEi9AqUd+1bIPZtlbB8TgoJe4tjtyWxLZWpjxSlXmU/NwL8ujsYL/v4R/9wufw8I6D//XvvqH0a21TU6osptljq22lyiN5mUeAWA4h3WOylUeGrqHbUGfx7o2CWuSRaagLQydSkNnWBNaf47GP9/0fz+I//sV+5deGUYyRG6JTsJ/c7dpMecTIo5I9gmmcjsDsoQLlkUxL/rkkj6Z+kt5fSB5VJN/f682qK+nklXdAGLthoTriix/twDQ0/J8fexF//vk+vutdj7EbqwqztjVe21qcOzAaujYXSpdInYvJKxVta3EcYzCRqDzabSAIk8rRuuhPAgRhjN1uYlUUsq35YTr4zhNzq4AC8HoF1sqTwnMvjRCEMb7qLdsYTcOVW73qgikhChb9xy4nBIppaNwPfodj49TLSKrroo7yKCEyi3MIsqC16kFOkyMvSHkkek86AorITzx/tNbcLC9nI+1Y/KeSs58ToT8OiskjhZvx/jhAw9ZhmzosU503nycbAEiVR2ds08jUW635tYRIRZUWjZMGs2oWKY8Uqwp4MAsx1dGUZAObEnlEVsSaP3PihqUFDLKUR8djv9S2Zhu8gdlryDy6sK2dKfhBhO//hc9h5Ib4Z9/6xspDXNU5fjRjdZsm2g0TowmvbS35Oi7bGuczOa9UQxZUWrxrK48U5ibSTHmFbGsC68/xKEAYxbj9YFL5teMKEnG3a+GAZR5V2/HNU5J5RMqjKnKUBxe2NU4M0lDRorY1x9Jhm1pJ5pHLSB0aHCbcyqOoUObcsA088Ugbt/en+Iov2sR73lFtVyPMlEec5FGQn3kEJIstLdBTn7NtTeKzY+xGCKPlk9+6mDWu1Sc2DjLV6A1brEGFqh/pISZj+KWq9nVbQj79YmJZe99/8ToA67OuVS36my0LOx2r9JR4ETzKI1J+bUtoWxNRiRymtjUe7Kb2KbqG6+B4nAQOFq0ZRZhtuKv/tsEkWKvKgUgdJ7PB4m3cy4KFmed8PpbqtrVMVpzKIYcnGwBIDmLO2qaxn7H+ZXEulUdheeaRZWrcOYqqQO+3Y+nSMoRIedSUojwqvgekZh6VEPc8ldpFgdmOrfa6viCPzhb+xa9/Ac++OMAPvPf1eMPr2pVfbynORTse+dhoJrNHu2HADWIusoo388ipEZgtu20NSMkjTmJMBFEU43hUlzxSZ1uj2Zlsa3UarHkOROkwiPJ8F7G7YeNg4M29hjLbmmFoa22WJtC6WmXL5IGjwJJ/LskjJu0vICc0TcNmy8zNCAnCCPt9D1fSC77FPPN8A8LEi0ptM3/zzVvoNAz8L++9wWVXI9gW1X3z29aKNoKd5rzyqPRGUqA8yoa+ygDZdl4+rG/bYRvCDUv4NJHyFehzlzFMkl2qPwnXyoI/e6uP65ebeNv1DTiWvj7yyA1hGlqh/QIAHrvUKD0lXgQveaRpWKkZ0DTEbGthFKM34iePyN52sKLySDTvCJgpGnjUNsNpuNYwYi8nDNOxNLhBLJRTtp8OIg9tFtnWFCqPJgE7FFHpzRdRHvXHwdrsrHUwGL+GyKP0WjQL1MWqlXI8WCSPZAVmJ7Y1sfltEUnmUfE90LQNZtuqC9ePMPGi0vWXZ12pDMxWpDyiz2vdB10XqMZv/fkDfOSP7uHvftXr8DVv3+P6HttUm4uWDYsnlQVP7hFvJoxt8VvJ82YEWVClPOpPAoQRamYeqW1ba9o6U7OLrD+0XvNkvtJetkgsste1cND3EccxV5bjaVMeSQ3MvmhbKwcbDks2fEU38oNjH1GcNK0Bs6riMafyaOIV29YA4Fu/+hF87Ae+FA/vNLh+HsESVB4VZR4BmLetVWUeKWhbG1SQe6K4vGXD0FdTHh2mG8Ldrp1kHgm2rTVsg93kvIF/5a9ntmiu60QvimJ8+sUB3vp4F6ah4c1X23j+9mgtryUJoi9frv7O37iEr/1SvoEI4CWPEqVHUVUzD0Qtp4lkF9yZRxQKuJryyBduWgMSIp43U2C4ZuWRm9M85aRhsiInq/upPXYvx1aouta4n8nyU9kKMvUSstbMyVDJYrNlIorl1KufFF5TmUekPCr4HE9T25qTBlyPJTw/3QXbWl1CKmlbKx7em46+Mtk1y5urUB5VfE5FB4Z06qwq8+hCeXQ28LmXR/ixX72Jt9/o4gN/51Hu77NMXWkhRi9zcMVmaI7nychNmq3LyF0gXeOEbWtyA7MBdeRRb5j8zO0apS6m4ra1zbZZq+1xIqA8oubwdonyyA9jHI8DZl8uu2ZOS9uaEvLoQnlUjsGkOr9js23lZjXc6yXqFaY8csROrsjCVATT0GoFRTuitrWC8EQA6DRN5hf2griCPFKgPJpUk3siMA0dl7eclRrXsra1pm2ISSwVKI+yRMC6QrNvvTrBYBLibde7AIAnHu3gs3dHa2HlJ25YaaF511dcwvvf+Rj3z3QsvZKJrxtEmAXdh7zy4MNh8sDkVR4B5OteQXk0Lq+KLgOv2mY4DeH6kZQ2wjrwcwZDIvZEHqr7GZXiImyz+ppaBYPJrJLWVJhXwEPWAuoriFWgKPOIBqx1quNkg+7LvCwcQL1SjgdLtjUJAdREHum6BsfUaqtuJl5UqmZtphb3Vda0WdNl8frLk89XpDzSNA0NW10wOs3GKiw5F5CD47GPf/jzn8VG08CP/b03Vh4KZOEotmIfjwNWSELWIyIEyjCahmg38putsxB5Js+s7fK3xpuK8gEpH7VOtIKlUL3cG/nYaluZzDX+dZ3UnFzKI2ZDL1YeAcmeikt5ZGjS28XrYCQxMNu+sK3xgW7QMmVLEQt8/ygljxYzj4QCs+XYsbJguSmcLLEfFmcedTKNBq4flbLsRB7JtCWQMkxWYDaQWNfuHq6SeeTBMRPPdcPWBTOPEmk7yWdlnMLTAwFYX2j2s7eSvCMij558pA3Xj3Dz/vjEXwvvZlYEvLa1OnauLExTLDD7cFCcqVOE3a69mvKoInOjDLalM1VPEYIwYg9uleRKGfKaVFgLhcBr2h940LV8mbjqAOI55ZGuriklUdBWP8dYc+mag/1FUJh5JNhoehZAG4Mi8sg6RYHZKjKPgEQ9LrJxyWLihqU5ek1bRxiJ5dktgubVcuVRtXXID+LCz1lUTS0CUuX3x8HaDgYuUIwwivGD//bzePXYwz/91jdxF3EQLOWB2TPV80x5VP08GU3DwpybLERKMWjtVxWYPZjIt3izXE6BeZGg2ra22VpNeXQ49Cvzh2gv2ykgj1gmaN9j6suzoTxK7gHe9ugyzOZceX/XuSSPSJZelqmz2TJzB957veT0fta2liqPBAKzZW9ygQxzKGBb4yWPqsLDAEi9mXjIPVFc3XXw8orKo50Nm53SibWtJe+hTNva0dBnwb7ryhJ49lYfOx0Lj6SZUk882gEAPL+G3KOJV956Uwdc5NHQX6lpDci0rXEu3DPyiH/I292wVg7MrkuSORy5KdkGQpmnH/d7Ljt5qoKbl3lU40Rmv+9hp2vlWhktxbXG2ZZKQ6ltrVxBS9hsJYPZWWpcG4yDtDRj/u87j7Y1pjwqUBqoVhXwwM2c9rccg3vWqvqZM/JIr6Umi6I4PbQoD8wGVlMbH3M0evLYC/0wKv6crXrvAQ/Gbgjb1BBGcmafC8jFH/7VIf74Mz18z7sfx5c81hX+ftvU4IViuYAi6I0Cdu1T5hGP8mg4DbhUGYm6kjPzyC9vp1wFGy0LcSynjTmLVZRHym1rLROmocPQxdSf2cP7KvURT2A2MK88qsr5PS2ZR01bXykyg2AaGgxdu1AeVYGULWWsNEkIFxfEe0cuttomyzqipg1eKbWKTS4w2/Dw3uhBGBeGC2frMIukzgRDk9+2Nig4+V0FV3caOBz6tYe4g77PlB4NS+ykkjZaMm1rhwMfj11qAlif8ujTLw7wtutdJgu+tttAp2HguTXkHiWKvpNVHsVxjHs9D5dygpFFwO5dzgfSQToMiNrWDvterQEvCCOMpmFt5VGSx1FBHk3UkEd//6efw4d+6yWur/VzM4/ECYODvo+9jfxrwrHUndL6QaLeonVTZc3uxCs/VCAQkZVXPnFaMZiE2Mg5pTyP5JHPoTxaN3k09UM4pgZN09BydDm2tWBGHiXWMvG/kciWplN8H8gIo2bKoxLyiEf9kUQQnKzyyA8iBGHMGpXOEon8WsGDNKPvq9+2W+v7LVNHHEPJs2bqJVZ2sq0JZR5Nw8qwbICU0fyZR7QWyYYqi3cvnRfrHHKqtK0dj3xmxRUl8LNr1X5FHMOwotKesin3+x6mXsjszEVQGQcggpEbSrGsERxLk3qAwLUbe/bZZ/Ge97wHTz31FN73vvfhxRdfLP367/u+78P3fu/3sv8eRRF+9Ed/FE8//TTe8Y534Kd/+qdXetFV6E+S2ukyxm6jZSII46Wh4n7PZZY1YBaYzfPgjeMYU1+N8oi1GvFmHgVRIXveac7qML0gKpVosswjiTfTYBLC0Gd5UjLw8G7ymb1c07p2MPAYedR0BBc6P4JjGWjaOjRNVmC2hxtXWgDWk3m03/dw98DFW6/PTqp0XcMT1zprUh6VtxjWgWMlloMiWWxvFGA0DXFtr7nS7zGZ8ojftmYZWuHDMA87HRtuENe69ma2ifqZR1XD2XA6G5hkbc6jKMadgym34iovDLMOYfCg7xWSR5bBf8opisUWUZXefG7bWvtsZh7l5e2dS/IovRaLFCkip/Kq4PoRnPRaa9oGpl60csZiVlGdKInF10U6/S47DGSHiyspjygwu3j9JeVR2eFAEESFWTYNwRxHXhDRRzPzWVoHXiug9YznMCAPKu28s7wvUh4JZB5xbq4dgcDsqv3QKlBFHh0NfXSbRmkTcRFsRba1IIzRn4Tsc21YOlyRzKPM1z44Lp/vRtNESVz097ecpHXzYOAnB/0Vn+9palvjIUd5IWLf5EHl1ea6Lt7//vfjW7/1W/Fnf/Zn+Mqv/Ep893d/d+HX/97v/R4+/vGPz/3bL/7iL+JTn/oUfuu3fgsf+chH8JGPfAS/+7u/u/qrL0BW2l8EuqgXrWv3jlxmWQOSAd02Na7hIAmDnRFOMqHrGiyDfxH0K2xrQLJpDKPyWkoj/VNkBmYfp7kdMtn9q6m1qm5o9sHAZzahhsXfoBJFcTKo2np6crp6ZkMUxTgcBriy7aBp62tRHrG8o8fnZc5PPNLGX788PvEN1sQNpd9XLMiv4G+5k7b3Xd0Ta0ZcBG3ceB9IBwMfO11L6P5gvu6hONHYG1WffJfB4ajCHWSGQVkn4EcjH2HEv3HLyzyymRdcVHmUv9HjbZ6rg8E4bQljbWv62m1rpII6S5vG/iTIVb2SamPd1fUy4TPbWlFgdqIaXGdWzTRD9LQaYhmTRViyrdVYc8g+1yp57jQEMzHz0BsFaNg6e715oDWr7BnihVXKI/mWMnqPrqQz84Xy6PSB5puy66sMs7xVvnvoNz/5AB/+7dtcX7s4ewgrj7hta/yB2WX7oVWw2SSVrtx75HBYv9TFNPSV8tqKQO4SUkOJKnnVrvAAACAASURBVI+y7eb7FY1rSYlI8XWgaRr2uhb2+15agFBBHp2azKOQPQ9lgCemQwSVd8mf/MmfoNPp4D3veQ8sy8J3fud34uWXX8ZnPvOZpa89PDzEj//4j+Prv/7r5/794x//OL7t274NOzs7ePTRR/HN3/zN+NjHPibtj1hENlS0CEUs8L2eN6c8AlLZM8diRhe8CuURkC6CnDd6EMbFyqOU3adslbJmAVWB2TIta0CSeQQAdw/ElUdBGKE3Cma2NdtAEMaVQW3AbNNJw2/bMVYOzB5MA4RRjJ2Oha22tRbl0bMvDuCYGt50tT33708+2kEYxfj8KydrXZt4UWlwaR1UKQ3u7CfX0rXd1cgjtinlVh55QpY1YBauzdNOsQh2+lc3MJvjZE+F8oj+Vt6MlJkKo77yKAhjHI18JoVehK3QttZnRQPJQKG2bY3Pfm2mCrmztGksev5oWtrMdZ7IozCGoWuFMn3L1BHFcg+HRJElemQoeRZ/ZqNm3g+pasrmOXom1bHFEShYtgw8mZdJYHaR8khN5hF9ThfKo9ML149gm8VrQBXo2vM4FSp/8JcH+Pd/fJ/ra8nuTKo7x9JhGRpXjiE3eZQebvEQ5G4QnznlUW/o1yaPeCIH6qC3oKYUtc1OvRCdhgFdqyaPhhzB6VQow6OoNg1trc9Dgmzlkc3R2CmCyrvk1q1buHHjBvvvhmHg2rVruHnz5tLX/tAP/RC+/du/HVeuXJn795s3b879jOvXr+d+vyz0OciJWdDnbLM1nCQ2lStb8+RRy+HzzNPpU9lJ1SqwBOSXifKoKPMoeX1U7V12IkHkkUwmdjAJpIZlA4mVo9MwaimPKHCOgtVEcgzoa+h72g1jZdsakXrbHQub7fxgd9X49K0+3vJYd2kYffJaEpr93EsnTR6pCcwGyskjTZtZIuuC2dY4N/qHAx87gsMAqeYOKvzheWADXE3lEc/JnorMowfpUMF76p+XZ8ACs3nDzIce4hjYK8jBsk2yQsofPhZbwlTKq0XaDTcKyidOKwbT4pNK2adz64YfRIVqFOB0NMzNkUek5FkhNDsII4QRFjKPatjW3GrbGmvjXdG2tlURdlvVthtFMcKo+MDQUZR5NLmwrZ168Fh1ykAzoOfzrRFTL8Lh0GfNVmXo5YTFtxt8B7Ajl29zLbLGeX5Uepi+ClSRR4erkEdGEnQvmyxZLAFoCK7BEy9Cp2lgp2uxOa8IwzSmpgy7GxYO+j6XotpUmAMlAvmZR3LzDSvvkvF4jGZzPvOj2WxiOp1XePzmb/4mRqMRvvEbv3HpZ0wmEzQas9P7RqOx9P15+Kmf+im86U1vmvvPN3zDN1R+X5WMDcjY1jI38r1eQjxcXlAe8Va3MyJBQWA2QDXQvCfkUWFIZoeRR8mmMZsBsgiWeSRxcekXZE6sAk3T8PCOUyvziBQMLPOIcq44NhH0NQ0rDViXYFsj8mina2GrbZ648mjihvjs3RHe+vhyM8flLRs7HQvPnXDukchmlheV5NHBFJe37JVlzJqmCalEDoe+cJ0uXbuHNRrXZsqj+plHVYNZtmFE1gk4BYHynvp7QbREhooqj/ZT//1egTLMFpT4i4AVDTDbmrqa3anHbxOlCuKzgkGJMvm8kUdeUEwoADNSYp1WvXnyKPm/qzxDZ8/kFW1rXrVtrXnCyqOi4Z9UIUXPqoat5roeTZOfefnCtnZqkb2/6kBUOU332v1e9UHWjGSYPU87DaMy8ygIY0y9iFt5BPC9fq+CbF8FpBjuS35W9karkEdikQq8WLQjiqo/SSG0t2FXqumH0xCdiv3+btdOArMr2sUBwNCT92OdVm6AlHXy9sknblvLI4omkwlarRb77/v7+/iJn/gJ/PAP/3Duz2g0GnDdmSJkOp3OfX8RPvCBD+Czn/3s3H8++tGPVn5ff1L9MN5s5ZBHR8lid2VrfuPGSwhMOGTOq4CnrpXgBzHMApkqSfyOhvy2Nank0Vi+8ghIco/qKI8OBvPkES0uQoShPTs5laU8Ssgj68Qzj/7z7SHCCHjb9WXySNM0PHGtfaLkETW6nLTy6Pb+lGVprQrL4JMHR1GMo6EvbFvbaJkwdI07PDoLWgPrtHUAJAsv/9uy5IKsBxjJmbkzj3Ik6UScc5NH6e8sCszmsZfUBZ1Ybp5Q2xrvc6zdMKTXD6tCGMUYTsNCZfJ5I4+SQ6TqLB1eS4oKZDe3TQmNpfT5zTKPjJqZR6Q8KrOtyQjMDipVn/QZFimPgvTfzcLMI7EGWV7QjLTRMtF2zpZ99bWCqb9aXqRo0zORBPePqmdxOhjNkvnthlmpPKL7jWdzTWQQz7ru+uoCs01Dl36PhFGM3ijAds3ZjdYL2YdQpGbfyratCdnWEoXQQxs2p/Ko/O/f27AwnIY4HvkctrXk81/jIxFAEgQuNTCbo9hGBJV3yY0bN+ba1cIwxEsvvYTr16+zf/vEJz6B/f19vOtd78KXf/mX48Mf/jB++7d/G+9617vYz7h16xb7+lu3bs19v0zEccyVqcMqhkfLyqPlzCO+AGX6GlXkEW+tbhzHCKK4WHmUsrSHTHnEQx6JvtpiJCe/8tVZV3cT5ZFoPhNZfUjt0RSxraXSXJZ51JCgPCIbXSdRHp20JeTZWwNoGvAljy2TRwDwxLUOXnx1svLfyYvZfXWy5NHdgymurRiWTbA4W436aYj9riB5pOsadrsWDioetHk4HgWwTY0rIDkPtqlVDmZZckGebS3NPOLcFOVJ0uka4FVe7BPRXBiYLTZoi4DIo06mbU0FeRRFyaku73MsOSk+G5tGyt4qmg94iNCzBC8ongOA2bNfxfXKizzb2ngFJc8iedTkVI4vYszx3Gk4/LNCEXjsCVXqD3q22IVta2oyj4hgazkGNlrmubStff6VUS1F72nB1JOjPOLdeNK9RofxZeiNAnSbxly5T6dhzGUk5mFUUc+ehVOh2svCC9TZ1gBIv0f64wBxjJVsa8CMfJaF3kKOpuihzEx5ZFUHZnMqjwDg7qFbbVtjUS3rmwPiOFZiWztR5dHTTz+NXq+Hj370o/A8Dx/60Ifw8MMP441vfCP7mne/+9145pln8MlPfhKf/OQn8R3f8R342q/9Wvz6r/86AOCd73wnfvZnfxb7+/u4ffs2fumXfokRS7Ix9SL4YVxpi7JNHU1bn7uR7x+5MA1tKW+ENzCbvkZF2xrA71kMIyCOUZl5RCRFadua5MDsKIrTzAn5yqOHdxvwglhYfXGQUfoAMxURD2GYpzwar5DXACSfi6EnD5rNtoWRGyoL4c3Ds7f6uHG5WWjtePJaB3EMfObOyeQesRPgE7StDacBjoYBHpGoPOIJYGfXYo1hYKdr1VQe+dhcof3Q4QiJHk4C0HIkK3tjP2Nb45EYJ7a1+b+RKYUElEeaVkzuWYISfxEMJslJFA3aqsgjVu3M+RzrNs0zozyixrrXUuaRVTAHAIBtiCnvVGCaF5i9wvW0pDxKLROiNgQh5dEKqh7XiyrvtSrbGikHiojChqLrmgi280we/YOf+wx+7nf42sNOI1wOq04ZZgciYrY1OowvA80eWfDkhhK5JGRb48hsylMny4Tse4T2cKva1mQ3rh2PAjiZA0lR9Scpn/c2bBwNg9LZecSpPAJI0VQdmA0A4RpHGjdIcvvONHnUaDTwMz/zM/jlX/5lPP300/jEJz6Bn/zJn4SmaXjnO9+JX/u1X6v8Jd/yLd+Cp59+Gu95z3vw3ve+F9/0Td+Er/mar5HyByyC/KQ8tqjNtrlkW7u8ZS+1EjQdMeWRssBsQ+M6IaQbzSxsW0szj9KT+/LA7PRnSiKPRm6IOIb0zCMAuLqTbPRFG9cO+j66TYO9D06aX8SnPJrPPGo7BkYVpyZVOBwkAZq6rjEr0UnJwcMoxl9+YYi3Xt8o/JonriUNbM+fkHVtHcqju/vJ4POINOWRxvWAXiQyRbBblzwaBdisCGwtg2XolYHTw2nITn9kB2bHMd/PTPIM5tc6Gqp5T1UP+h6221YhMS9yyimK/iScI3QNQ1dSKSuqoO2cIdvaoGI+OHfkUXg2lEd0H7Ya/Jbxsp8HzAdmx7G4lZSnAMUydRi6VpsQj+M4PWUvv9dmyqP8z4k1SZZkHnlBLD0Yd3awY6TB+WdXoVOE3ijAPY78ntOKLDlbB5ZgqD7ZI3lsa8ejYCksnscGTeQSj62ninjNgprpVEE2edRbmTxSZFsb+dhsW+xAMiHwBQKz3UR59FBaTFKUe+QFEdwg5lYeAdVzDe2b16k8Yte3RPLINnWp2YZcO/gv/uIvzs0a+o3f+I3cr//ABz4w/0tMEx/84AfxwQ9+sMZLFMNiqGgZNprzN/K9nrvUtAZQ29opyDyy+DyLtEktCso0DR0NW2es9UlmHi3mdsjE1bQV6+6hi6duVHxxBgcDL3dx4ckIyG1bc5NTzrpKjsPBLPOGHqy9kV+YsyITN++NMZqGeCon74iw27Vxecs+MfKITnVbJSfAdUADVZ6c/3ZKQEojjww+1eDhMBlS65FHNj57V1wNxhPYWgbH0rgyj3Y3LLx67EnPPAKAsVt9ouQF8dIQLao8etD3Cy1rQHU2ySpIWkRnf6OqtrXZc4xvcOk0TIymIcIoZs+L04qq+cAx9ZUz604T8gjTLBgpcUoyj2RkCC1nHs2sZXTIw4OJG0HTyg/XgOS5VPf1+mGMKEalMsSqUH8w5VFJ2xqQvDctiTkaY6a217HZMvEqh9rkLCGMYrh+hMMaLaanBa4foVNjniCIlkDQPMVDuB2PgyUVb4dDeTRy+TfXjsVvuzsJ29oLr4yl/byZ8mjVzCPJyqPxfI5bUzDziJRH1IC9P/CWiqyAWYtvt0J5lJ3ZqvbnrGF8jY1rzJYpM/PopJVHZw39VJbOpzyy5k5K7vfc3Au0YRtc1bGztjVVgdl8bWsBI4+KX0enYWQyjzja1iTdSEQeqVAevW7bgabVUB4N/LkHGBs2udrWkuvNydjWwiheqfr4aDiraifl0UmFZj/74gAAcpvWsnjyWufEQrOJxJNtB22UKI/u7CfXEKnZVoVl8m30D1dRHm1YOBr6wkRvf1wd2FoGnhON0TRk17SMB1gQxjgc+LiynQwXPOS+5y/b1nRdg2Vo/JlHfa+UxBXNhxDBYDzfUmlyWiFFwdSUvMqj5uob/pNCn4bNMtvaOco8CsK4UIEMZGu4Twd51FBMHolg7IVoWPqSEn0RvLEGeZgdPlXY1oxy9cdMeVQcmJ39fbIwdkM07ER9tdEypTdJrRv0XKmj6D0tWLVtjdYInnUxO/ve4wzMXlQ9txsmRtOg1GYqosywBdY4L1AXmA2oUB4lP2vltjUFmUfZA0nKXOO1DlPb60Mp6fPgOP/+I/tilfJou2OBlnFe29ppII/OtG3trIHJ0jkCmTdbM9taEMZ4cOwtNa0BQMvWMfbCygtf9MRWFJbB17ZW5X8HErknNR2UnUzqugZNAyJJtYXs5FeB8sgydVzesoXJo8MF8og+P6G2NQrMTpniVU6vD4Z5yqMTIo9uDrC3YeHhnWUSNYsnr3Vw58BlrQqiCMIY9zlPKSlDSpXyqIg82ula0hZvy9C51CiHAx+modVqI9ztWggjCAesH49WUx7Zlo4oLn/YDiZJiYEjKF8uwtHQRxQDj+41AXCSRwWniiKEwUHfw14JsTezAamwrc1/Tqahpfl2coecaQ3lEYDKeuXTgMG4/Plz3mxr1cojMUuKCmQ3t6ahwbH0lXIDlzOP6hEnEy/iavjkLVTJw2LhRhHogK9oXSHlZ9FnPTsQk3uPjr2IqcVoY7zuimuZoGvmcOCf2b9rVduaI6CmpffLNDTc77mV71lvFCy1vLYbBsKo/JBJiDyizCMe5ZEfl66Xq4L2nLKuJWrM3mydPtta1o7YsBLrMO9zJpt5BKAwNJtmjqrgdEPXGMFWtdaap0F5JKCs44VjaZXxEiI4d+RRv2I4zCLLAh/0PYTRctMakNTH8njmJ14EQy+WDq8K3sBsWuTNkhOzTtMECRSqHiyGrklrW6OTXxVta0CiFHn5QEw6fTDwsJNRE9DiwjNsugun9K3GaiencZwoKkilscmURydz8vXpFwd46+PdSsvdE9c6AIDnb9cLzf6NT76Kb/xnz6w1iL6UPDqYSgvLBtK8Mo6b6DBVndWxPJL18kBAYh/HcSoxXkHWblQPZ8NJyHLFZGzOKe/o0YeSz4hns+kF+YOhzfmawijG4dDH3maJ8siga0qVbW32XLMUnZCJZh6RimewYtYbL/7sr49rb4Jfk5lHJfNIVYuXakSpUiE7g6xiAwNmyrls2xognqM0cUO0OO6BJmesQR4Wbe9FqFJ/VEUViMw0Ipi4ITvU2WyZCKPVDs5Uwg8i4bWSrkM/jDE4A+R4HngC2csgUgJB98G1vaS8hmxVeZj6IaZetHRwRURAWe7RLPOoep/nmPzPZFe18qhpIozilUt1CIfDJHC8TF1aBkuRba03mlezi5DXQZiUXjUdgymGCskjpjyqvg6IiKo6FGOB2QryJHkhcn3zgmYbWcTl+SOPmPKILzC7Pw4QRTFrBrick3nEho+KG57qBetm3VTBMvnUC/SANEuUR1mmtpI80uRtUIis4/l86uDhXQd3D/mVR2M3xNiN5m1rAvW7M+VR8n7SIFV3gBq7EVw/yiiP0sDsE1Ae3e+5eOXIxVMlYdmEVUOz7+xPMfWi0uGCoCqIvkp5JCvvCEgDsznu3YNM3pUo6BoWkdhTVs1qyqN0uCzYdMdxjOE0QLthsuajVUFNa9ceSpVHHJvNvLY1gJ8wSCyBwF63hDyqUAisAlJvEVTJq0UD6tsnqDx65dDF+3/6OfzOpw5qff9gEsA0tMLN+rkjj4K4MEQZyIbhrudvpt87Tx7VJ2OAzIHOom1N8HMdu+EJKI/mX2sRZrkzRbY1UptXKY/k29boPaJnyEmVe4ji+//N5/DDv/J5oe/JzvwihzKnCVM/XEl5ZAsoj+jeu345eS7fPyp+z2imzQvMBspn6JEbQNP4DjhEArM9P4KjODAbgDTrWm/k17asAWoyGsMoxmAyryhzBMjr7OGVoWvY7VrssHARRDBWKY+A2XxcmXl0bm1ryc+SpTI+d+TRYJwsKjwp/ButRH0zckPcSxc5ytDIgjfEceJGysKygWSA4LFX8GQeZS/KKpmmYWjSWFiyDdSx5fDg6m4D+32fK+wamGXMZMkjx9ShaXws+dQPoWmz4Y6Y4lHNk1OSoe6kG1TT0NFpGCeiPPr0rTTvqCQsm9Btmri216ide3SUerV5SDFmB5VsW7OMxJK5uFmc+iFePfZwTSZ5ZOhcpzuLFkoRUCigCHlEg/5K5FHFqfjUS2pHmfJIwun3ovKIZ/PmBfnyfcfkIwzoHtwu+XzYZlzy4DH1Q3hBPEe6U+Ob7Ma1aSYElweUN7BqyyQPbu9PAICLdM5DP1XAFR3wnDvyKCxvDxKxpKhAHnnStA3JmUdkWxNUHnkRF4Hacuq/3qkrmnlUT3kk0iArgsmCbQ2QtzGWiTiO8czNPssy5MU4c80cnsHcoziO59oM66CO8uixSwl5dK8kmoBmj0XbGrNBlzxPRtMQLceozCMDqg+3CFEUww/V2tZk3yOHQ792WDaQVS/LWxcGkwBRPG+lEyGvF+Nfdjds7Be0rYnEoNB87FTMNcy2dhqUR1Lb1uSqjM8feZSezvIsKuykZBSUK48cvgcvhXypAm9gdlXzBjBboIHywGyAbGuSlEeTAFaaa6ACFHD88iGfdY1Ok7Jta5qmoWHxnSYmDS4624y006rhusMkC0zOPBC22iYLxlOJZ18coGHreOPDLa6vf/Jap7ZtjTbiPJlJokoIXmialrtZJNsjtffJgGVy2tYGHrMsioLZ1gpOafJA5N0qgdl0Lxc9lMjO1GlQ5pEE5VHfg67N7nfewOy8wTCxA1evb2Rb2CgJZ3QUBRAPqAgiSx4p8uaL3m/MtnYCyqO76b1Zd/geLFj/FmGbfNbwswI/qArMXq9tjYjkReWR1MyjmoHZiZK8ek5p2EZtUoZlHnHa1opIPt7MI1dy5tHEDdmhzmkmjw4GPvqTUFghliUcz2JodhDGCCP+g4A8OALKHboPrhN5VBKaTTPt4uzBpTyahlwCAaD6cItAjZOqA7MBeeq83jBYTXlUEcRfB3mkIDkzeA4OF23zD23YJbY1EeWRmG3t/GUeFTst6uDckUf9cVg63GexmXnY3T9ysdEyc2tM6SIeV2xQxp565RFfYHZqWysjjzLvkV2iUAIS8iiSpTyaJI1Bqqx9tOG/y00epcqjhfrtBme15NSP5h7MTHlU07Z2QFXtnRmZtdW2TkZ59OIAX/xohykaqvDkox28euwVLuxloABwHuXR2A1h6Cg9Qa+LPNUJnU7KVB6ZRrVtLYpiHA6D2ra1lmOgaeuCyqPVAheBrPUl/+9joYZNAw1ZmUfHiUJLpOnLDeLca4hXbTIbVIrJB1Wb8VmW32zdNhWFXc5O/jiVRxwnxbJAZQiDmq1Og0lQqnp1LB1hJPckdp1IlEfFn6PIxlAFpsGy8qjl6LXby4CyzCNB8sgNuWrtW3b9jKbFwo0iMPVEwXVJbUlFM19dAq0Ko8x7RCTAabSt3byXKBZFP6csiXkWlUeLRGodsOcMT2B2+vsubdlo2jru9cpsa+nssWBb48k8Gk7DyoYtwuxwq/z1e2kmUl6phiywPaekVsJEeVR/djNN+TPEcQ4pKLL+LKox9zasksDsxGnEs07vbfDZ1k4FeTRN7PUyVXAX5FEF+pOAuwaeNkzHYx/3evlNa8BMeVQ10FDmkSrQqWhV4BULzC4hAWiBtk2tUqUlVXk0Xq3ZqQoPk/KIs3HtoL9sWwOShYu3bY1YdQBoyVIeZV7PZttUPpCNpiE+d3eEt3FY1ghPPFI/94jseTwtcqToU0E45hEHt9Nr56rEwGwe1WB/EiCM4jkVnCh2upbQkCtFeWSWy8JnjRimtCr0/b6HvU2bDSVVeXRAkguSG5htalxKoeGkuhZWJF9BBP2coGdVQw5viC+BniUnojw6XFF5VDEfsGDhc2Jd84LywGwVmRciyNvcthyjtu2bfqamzZTXNJMJZx5xtq3xzgp5YLa9inutqm6cbLKFyiNF13V25j3NyqNb98cAxOey7Mx/FjOPeDO1yqBpWnpwza8aadgGrmw7uF+iPCqyralSHlU945l67wSURzLukSCM0R+vqjxKZwipyqNlUnC2/lTff+OFw6u9DRtHwyD3QGeYXgc8TqNLm4mwoOzwDwAMPfm96w7M5r2+eTELjr8gj3IxGJefLGaxmQkjvnfk5jatAbPMo6qTq6kXSc9lycIydcRx9UXNMo9KA7OTv52H2TR0TZr/c7ExSDa2Oyaats5OqKtwMEjsL4uhfbwKiUXlETHgdZVHtPHfnrOtqVcevfRggigG3nS1w/09b7rahq6hVu6RiG1t7EZcrTd1kEce3d2fots0pJKcpqFVZh7NAiTr/97dri005MrMPCoaLkmR0m0a3Iq+Kjzoe3how2YbFy7bWkGTCi+hxeOvFwkXFcEgp2hAXdtakuPGe1ptmTocSz+RzCNa1+ue3A4mIbolUnDZp3PrRhBEpYHZpMSTQejWQRF5tGpgtpOxktPGpU7bGo/6ruWsEJi9ULhRBKtC/TELzC5XHsm+rsduxGYemrtPpfLofqI8ElW00UbWNrUzqTya5thC68DitPOSza9h6biy7ZRmHtEMuNy2RkrWssDskNvSw7vG0b2hQuFO6KYt0zLII5bBuEJTLtnWZLat0YFw9nMVUh6xjNPkvXpok+IYlu+/4YRfgfaVT27jf/97b8Qbr5bHcpwK5ZHA9c2LC+VRBfoTfnIi6z+933Nz846AWfvW+pVH6SJYUTkZcGUepcojjodKojzifZXlGKSBpaqgaRqu7jZYNkYVDgaJ7NNYYK55G1Sm3nyTBW+4ehGOhj42WuacamyrbXIpdFbBLKib/0HUdAzcuNLCc4K5R0EYMZUCj21NZZZYXgbP7f0pru42pCqdLEOvfBiJNEUWYbdridnWRonsl1etmQebPZTy/77BovJIUubR3oYNQ09yq6o2hpT9UJR5xPOaZn9HmfJIzWY8r6VSVSvIZCHHjQedhlE67MsCKUoHNYfv/rhceTQ7pV7f4CgTXliuPDLT0gAV7YA8yCOPksDs1TKPstaT+plHfIHZTcdAEMa13kPezCNN02AZxeoPIpWKSlIaqgKz3ZA1zFqmjpajn0ryiJRHbhALrZc0A17dbZzJzCPWPLji/OSYfLmA00xe3pUtu7xtbRyg0zCWHBKzA9jywOx2hYKEwJRTnMojlba1hpWUhkglj2rGHAAZUlqmbS1Hzc7WH67A7PnMo92NhDzKa1wbTIJKJRHBNDR89dt2K+eaU0EeTS/IoxPHYBJwb76IZHrlyMVgEuY2rQEZQqDiwTvxopWC6aowO9Uufx08mUd0YfIslIYOhJJupL7A51MXD+84ePmQV3mU326VhGDytK3Nf+a6rqHl6LVl94fD5dez1bYw9SLhthgRHKULvmhY8xPX2nj+9rDSSplFlgjjGTTHXsTlaa6DPIXZ3YOp1LwjIDkRrjq5ow1xZwVlnjB5NPbRbRhL5KkI7ArfPCmPOtS2tuLDyw8iHA0DdiLVtPXKzabPAmXrZx6NpgEcSy9VcqjajPdzVE9syJHdtlbjEKTTMJTb1vrjAP30d9RRHsVxjOG0/HDpvCmP/CAuvV41TYNtaJUHUqqQrzyqnyFEPzP780xDh2loQs/PMEpaqlocSvImpzI9D4sbpTLYpl7Y4sjCfgtUE6wqW+J17QcR/DCes/ZttqxTZ1uL4xg3701Ae0aR62DiJirMh3ec2g2P6wSRk6srjzSuZ1rW8nx5O3nPKweaIwAAIABJREFUiqxKvWGQa5c3DQ1NWy9XHk0DIVsPTxECHRiotK0BiSJHxj1yOEh+xvYKSvVZ5pFM5ZEP09DmPh8WL8Bx7y0WdjyUZhXlNa6NBLKveHFa2tZkk0d0XV+0reUgjuMkMJuTnDANDZ2Ggc/dTZQTVwqUR2RFq7rwE5mz2swjoDg0kTCrbS3+eNvMtla9aTR0DZEAOVCG/lg9eXR1t4G7hy4XoXEw8BiznQWv8sj1lmtQW45RPzB74C8ROFl7pSocpYTDlmDt55PXOuiNArxS4m1fRNaCx/M3TbxQGSm7aFkKwgivHLl4RDp5pFc+oPNybUSxu2GjPw64HxDHo2ApsFIUVZkCi4HZq25giBxjAYgcNheXkUd5mUf8yqMq1aSqzfggDYbMqp7oxFaJ8kjwfus2TZYJpQp0IPC6bYe1z4lg7EYIo/L76zyRR1EUI4zKlUcArU2nR3nUWkHJQz9zcbPM+zwnLNZFl4EFctcgvKh9iCc+wLaKN/AsMLtgnrPNhNSWeQBF72cr8x5tSNoYy8Th0Ed/HOD65aQBTORgb+xFaNkGdrqWUIvpaQFTHq1IiNicyqNs2QLtp+4XhGb3Rv5SXASh3SifoUVtPbalw614/WUzgkxstEwpgdlMeSShbU1u5lGSa5tV+LDMI662tXk15l66P8sLzR5OQ27lES9myqP1zQAjV0Hm0YXyqBjJcBgL2aI22yYjjy4XZB6xk6VK25ratjXW5MNpWysaJIBZ6CvPiYQuKTA7jGKMpqHSzCMgaVybehHXSdFBP195xKtGSJRH89db2zFWCsxetI7RA1alde1o5MM2NeEF69GHkoHsFc52OwA4StsY2o7BpTzibb2pg8XP+d6RhzACHpEYlg0k8uCgUnmUXDPki68DupaPONVHxxIC7JltrSTzyDI0OGk2zqoPL5IvP5QOFS2OjSGTpBdkHvGQbQNOS7Rtyd+M98dJVk82GJKdkCnIPBJ9jlUN+zJAVuQ3P9LGyA2Fh7sBR+D5eSKP/IoQZYJt8W0MVaCIPALENvmLP3PxPm9YYllrFMDPE5i9ivJo6ie2d57AV8vQiwOzKfOo4MBQ0zQpxH0WNONkcz5PI3lETWtveTTJc+QpVyBM3BBNR8du18bhMJDWOnxSEC0/KAKPchqYKdtsU2dOjqLQ7ONxUJjv2GmYhcqjMIoxdiMh8sgxi+8dwmxGUJd5BMi7RyhqQkZgtsx5JSEF5z9XZh3m2VPR2puuq9sdC7qWTx4lM5ncvQHFAayzcFWJbc2Uqz49V+QRT6DpIhIWOFmkimxrhq7BMbVSa0SUypx5ho264K3VDZj/XV7mkYwNykCCsoIH1JJVlXuUVKPnk0dN7ra1cFl51KhPHh3lVG/SQqwyNPtomJwCieb80HsnYpXqpQ+9xy41uP4mlaTsIplxez9RN0hXHnEEZktRHgl+HsfjfOm4CJyKnJhBGmqoaZoU8mj/OBki9si25hiVxD7LBFkh82g4CUvzjggW5ymtCPKyelSdkE05s16y6DZNtr6rAoVlvzlteRS1yfFkiqmw96wLpFIpO0QC+NsGVSAv0LfF2m3rK48Wn8m8NnQCPft5ihrI2jauoeqZ5iiXi5A0XhUEZocxDB2l9mNZZQUEmnEWlUfHiss9REF5R295NGmSFfmcKMd0t2shjOJTR4xVIY+crQMe2xcwywDVdY1lyN4ryD06HhW7EJLDiPz3mp71QsojDvLLyxBfKiGLPDoc+tC11TIyLQW2tWSmnN/D0Hvqcqw/4wXlkaFr2O1auZlHifJIsm3ttCiPJCuqaA2QNZueK/KoTuAsnbqbhoa9korsplM+fNCwqVZ5xNfkw5N5RFI/nswj05CjPGLknmrb2k6y8X+5onGtPwkQhPnV6LyD1mLmEZAoauqcwrt+hOE0XFIebTLySKHyaLiseOIBfY9IE8nRiMijJp/ySGEQ/SJxcIfII9nKI1NHFJerRIaTAA27PFOnCnQt8zaulQ1wvGCKyJLMI7beWElw+Cpk9KLyKAnYrbCtlTSpUBholc11MA248qh4TjlFkad6UhXsWMe21mmqD8y+e+his2XidalCWFT6T5li5ZlH6bW8pgBpmWDKoxL7OpAM9usOzM5eb3QAV4eMAZJn8pLyyBZT3Ygoj0h5XMcSljc/FKHMXuhXtOoBSWitTFKUEWyZzdumJEuOTNy6P0G3abAcQxF74cRNDq4oSuDgjOUe0ectw7bG0yA6zRz0Xdq0oWkobFw7Hhfb1soKGGi2FlHJWxzWdGZbU5x5tNGUQx4N0sDxVfIq6Xul2tZGy4oyPS02Kcq/yoIIyOzftbthL2UexXGcZF/Jtq0pUnSLYDS9sK2dKPLqjKuw2UoWr0ubdql0uGkbpYHZIh75uqDBtqrJx2dta8UfL0n3eZVHMtS6eY1BKvC6nWRzcbfCSkXqjHzlEW/bWkHmUQ3lEWs8W1IekW1NtfJI/HPZaJowdE0oTLKXNnw9+lATUy+qXMySOuCTUR7dOZjCsXSWpyMLFsdpRn8SlNaI80BceeSvnHnkcGQe0XpDrRurPMD2+z4MXWPEP8+9Wtakwh6qFevqsKLmncAbLiqC/mTZXmgpI4/qBWarJo9ePpji6q7DDh9EG9dIqfRayTxiVqZK5VFxELNq5NrW0s1nXfWum0PIJEpi/s90nMluqQJTHtVQSokpj4oVjV4Qw67ItkoOxOTdo+MFewkwU1WIFGioxs17Y1y/3GKbMZHrauyFaDoGdtN5IK8u/DQjT9lXB5apcTWIZg8eLFPHXtfKta25foSxGxWqnsts0PScESkW4bGmk3JaZdsakKrzJJBHIzdEe0UXB7U4ym5by4tC4LUO5zkNHtqwl2xrEy/JMJRtW1s3eRSEyZ5IfmA2tbVfkEdLqGP7ICLjSkHeEaHp6KUnFnRSpbJtbaY8qrCthdW2NdvUYZsa10PF0DUpbWv9MQ3v6gg2IHlQXNq0mc2hCDQI7OYQBQ3LgOtHlR733MyjRj3y6LCAzOo2TWia4sDsUVDLO62nklKRMMne0MdG02S/73hcPpBNvXDlqtki5CmPru01hO17VWD3bsl9NJiEK6vytgXIIz9IBzhJmUdFG5vhNEQ3ozwCVnuAPTj2sLdhMbK/xRGY7ZXY1tjrr8iSG3Iqj2xT5xq0RdAfn5zyaFrDJtppmnD9SKmC5e7BFFd3G+x9ED29fa1lHrE5oGIzZK3RtsbIo8xrnNnWZGceibVsAWLKozqvdyoQdWCXkNJBGMGs+JxlWIazoL83e7Cz2TIRRvXzqlTg1v0Jrl9usutKhOSjvMWdTqJyPRyerdDsPGVfHfCqE6f+vOX58raDezmB2TTz1QnMrqM8KrN8ErwTDMx2/YhLhVMGWeoUm6PMhRdxHBceSDYdPvXnJMc2v7e5TB6xFl/JyiNDUYstL2jtlG3HY7a1C/JoGX0OWfoiiPm+vFVsWQMSX3fZBuUklEckP69i0JltreLEsdMwudrWdB1ybWuKM48A4OFdp5I8OkytPUW2NaB8ExGEEYIwXhpU246BcY1T+MOCADzT0NBtmsqVR3WD93a6lpDy6CiVtW5xtMgFYQwviE8sMPtOqm6QDRZMWDLADHIIAlHYpo6NlslF5tHp16qZR/S3FT2UBpNgKaB/NeWRxyxrAGUe1Q/D5HlNcRxzta0BtMmT37ZWmHkkeciZ1CBradBRpT4KoxivHHm4uttgZKeoPUYk8+g8kEezEGUO5dGabGtTP4JjanNkvZLAbOG2teUmsSK0VgjMnqQWDR6UkdJeEFfOctIzj7xlgo3uTZUHXX/wlwf4v37vDtfXHg589EYBblxpcbcmZ0EqCKY8ErDnnwbMbGurzU885AswsxwRXrft4F6O8oiujyK1e7thFpNHblq4IpR5VL3GzWxr6gOzAdRqDM1CVqiyacibV4bTEGGUP1M2LIMvCiSnXXmva+FoGMwp9weZFl+ZoLlKhmCiDuqQozygA5oL5VEO6rQVbXIqjxq2XrpBYcOGInsNMFvUqhZxOnE09fLX8l9+yQ6+/A2blb/X0DUpG5Q6mVR1cXWnURmYXWZb42kHmBac6rRqtq2R8igve2irbSrLPJq4IaZeVJ886ljCgdlbHWs2aJYoCKYL4Xmy4aRNQ1GU/OfuwZRlI8gECyYsGWD6k0BKmPxul+/zoAFuVeWRpiWFAkXD2ShTpzq7r+oPTg/6HgvLBhJrSVU+SlkYJm26yh6qrp8QxTzKI0uy8iiOY/TH4dLnROu7isyjpuBzjD5fVaHZr/Y8hFGMh3ccRrCKDt+DcWKXLRvK6Po4T5lHPLY12WQnL/KIHhmB2Ys/s2kbQkPzJKdJrAh1SAmCK2Bbs0pIaT+MSmMKAChoW1sm2Gi2Uxks/R/+5FX83O/c4VJ6UVj2vPJIPDC70zBgGdqZs625fghNy8/6EwG38mhBtXp5y8H9nrtkY+xVzB6dVL2fd2hNBxRCbWsWR9tajgpSBWTdIyNXTli0Zcqzrc1Iwfw9Fc/6M3aX214fSue97P03IvJIdubRupVHNa5vHmiaBtvULtrW8tCfBDB0McaOkUdb5eRRyzFKNyizTa465ZHFOdj6QQRNAypmCXz/f38D73nH5crfa+pyArPrKMPq4uqugwd9r3RgPBh4cEwt9yad1e+Wfeb5YYTthgE/jIU3IKTeySePLGXKIwqw3q6ZfbPbtYQDs7c7FlcQON1zPCfAdTBrIIjwoO/BC2LW1icTNNiX29aW1SV1wE0epdJxyn1bBVbJyZ505dGxh4cyVtOWnZxolVlM3RJJOk/mEctZ4HigO5I342M3QhjFS6onk9XsyvtdcRxjWiPziF6bKuXR3cNERXp1t4GN9HBIODA7zawqyzaktfw8ta1VkQo2Z56JCuQSPSu0lxX9zER5JJZ1A/ApyZsrKI9EArPL1BN+EFeShKKNc1XII9hOgjy6ezBFEMb49IuDyq+9dX8CALhxpck+J6HMozRvUdM07G6IKaxPA6Zeci+sasPnbRBdjHG4sm3DC+Kl940ODMtsa0C+FZQ21x0h21r166f//SQCs4HyQ1MeyLKtWYa8eYX2KHmkoMNpHU4OrxZsa6nSPNu4xmxripRH68o8UkUeAXzZX7w4V+QRNdKILJTkzbyyXW5ba9rlkjsaHFS2rbFgWg7lkWVo0nJbDF2rzP7hwWAcwLH0lcP7ePDmRzqIY+CTnz8u/JqDgY+dDTv3fWKbiJLPfOYnn7/J2QmX4EbqcOCh7Ri5EuOttpyQvTz0hsnP3a7RtgbMbGu8IZm9UYDttslIi7JqX9X3VXazSE1rSpRHbKNffD0NJqGUPLDdrs3VtsZOiTqrE1a2pcPNWZeCMMbEixhhvCp5NPVD9CchGyaA2ealbMNPw1EuecQh5xWx3FoctcAiKPrdKipl/TBGGIkr/ajxZDhRRB4dEHnkwDR0tBy9VuZRlXLMliztXidm1zyP8uj0kEd0UFDH+s1+5sJ93hS0bM3a1qrvA9vUYOj1Ar6nXshtKbJKSGk/jLmURzKva/p7FwOzgdU3xkUIoxgvp0Uof/5Cv/Lrb94bo90w8NCGDdNIFLKimUf09+12baFsx9OAac69UAdlyuIsEqXW7PfRofz9o/n3jZEMBba1Mhs02VmFbGtWtRqYlEdVNt9VsSlLeSTTtiZLeTQutiPyKh+neZlH6WFhtnGNbGvdc9a2NmJZcmrIowvbWg7qZIZ8+Rs28D3vfhx/44vK7VtNRy8dDiY5D1LZ4LG+AHyDhAgMXYOMtSWx5agNyyY8/cZNdJsGfveZg8KvOej7uZY1AGg4VL9bYlsrUh7VzGw4HPrYLtjIb7ZNZTkCLGupZvbNbtdGEMZcSoAoinE8SgL1aHAoGzRFgkvrIEtm3N6fqRtkoyowO4zixN4lw7a2kSiPqsg8UifVadlbRFE9/SzUkNrWqknZMpBseTHzCCjfvDHbWknmUZmsnQ0qHOuXzNMdoNjuq+KEbMrIWsHMI6Y8UrNG3T1wYegaLm0mm5Fu0xS2yA0mQaVlWtcTafd5II/okMmsmAUszjwTFZj6y5k/DVuHptWzgYVRDD8nh7Ah2LY28ULoGp+FRdO02qoeMeVR8QbeD6JK5ZEj2bY2SbNJspXa9ExXpTx6cOyx9e7PSw4GCRSWTQeETY5yBUIQRvDDmD1fdjpnT3mU1zxYB5aAbS1771EcyL3efIRElWWeDiPyco/o30RmQoejFMANlvPXVECabW0aSCGPLFOTNkMwO2IeecRJ4C8SkMBMebR/AsojWs/WnnmkQHlkmxfkUS6Ox9XD4SIsU8f7vup1lQNWszIwm/+kqi548xiCMGKJ8TIgLzB79TYpXlimjr/9JTv4w788LLxZDgZeMXnEFCkltjU/P4+Hbnph8mjgYycnvBuY2dZUVOD2CoK6eUE2O548gME0QBglv8s2dTRtvZQUU608ypJHdw+mMA0NlyssrHVQRfwOajRFFmG3a2HqRZUnrJ97eYSNljlHxNRFURPQaKFWd1Xl0YPjZHiYzzyqtphy2dZKXtOQNXVxKI8kysCBWSX9SZBHs+IHsfutq1h59PLBFK/bttnf3G2awsN3XmNdHmS3Uq0LpEirUh45awzMdnPaSjVNQ8s2MKqRecRyS3IIqTCKuRVW49Q6wbuRbNm6kKKFINJsWGZb84KosiVKemC2Gy3ZyUUsOS/cG+MX/+Cu0O8kBeKT19p47vaoUu116/4ENy632H9vCuRRLs4edChzljAVyNQqg21q8DieM1Nv/n6+nDo6FkOzj0c+2g2jsAlypjxavo5G0xAtZ560rHz9HAc6XhApt6wBcsgjP4jgBjEj2VaBzHmFXAS5mUcWX+5ccg3Nfw7bHQu6tmBbUxSYrWmatJzfOriwra0BiW1NjUKh5SRtHUWb9xNpWyPyqKJS2k9ta7JgSMw8OomwbMLXPLWHkRvijz/Ty/3fDwZ+btMaMBsYyk4ri5RHtW1rQz837whI1CFeENfKVeD5vcDq5BHPqRyzyKUnE1tt61Qpjx7ecdgGVSaq2taYNUlK5hFfrfDzt0d44pG2lJO2opBoVo/ekJN5RMNDlvBqcdyrZbY1GhjLHqoimUeylSs0ZC4SiyqCHdmaJkgeKVceHbpzisDNlimceTSc8rblrY9MkQlSE1WpkMvsUKqRZ1sD0nmrhg3MLSKPBLOsJjmhrWVoVBwuFv4eb5k8K0JZ4xXPzCc7MHvihUuHpZbJbyn92J/cx099/CWhLMc7KXn0dU9fRhjFePZWce5Rb+jjcOjj+pUm+7eE5OP7nMYL9pGdjoXe0JcyC58Uiu4vUVgFyuJFTP35+2ajaaJp67jXW7StBaVFHewAtkB5JJr1Y3O8fs+vJmBlgIgv0edXFsy6JyXzSJ5trTdKcofz5qSEvObJPFrOXDR0Dbtda0l5lFhR5X9mpiFPjSWKWdua/L3yhW2tAElmiBpyomEbiOPiTc9JZB7RCaJXcaMHYXV4oghMXc6N1B/LaZPixZe9YRPbHRO/+8z+0v8WhBF6o6BYeUStUGXkUVHb2grKoyICh5h8FaHZvZEPx9JrX7v0HvKEZh+lBNNW+ncmdrz1ZR7NK49cPKLAsgbMrCNFtjVqjpJh6+RRgrl+hBfujfHEtc7Kvw+YtdYtgkiX7kJgdt1NDHne9zZn90mTtTNxKI9KbGtlr0kk88i2dGnDGDCzrRVnHqlQHoldh23HgKapzTx6OHNvdlsmU2Tx4rWmPKJrsLpt7XQFZgOpvUgiecSjTswim3XDg5YjZosDkhkkjJYtdkUosw4lgdlVyiMDQRhLy0gbTfPfo40WXz7jnbQNl+ziPEjsq8DXPLUL09BKrWs3KSz78ow8Sq4rXgJx3sK727URxWpmMFVYDLCuC9vUEcXlz5o4Tg43s4epmqbhyraD+4vKo3FQapcvyzwaTquz6xbhmEkmY5ly3w3iE1EeaZqGTc57pAgy1SmmqUkr3TgeB9hsWfk5stxta1Fu3s/epj2XeTScJm1zKmyGprFG5ZGbtMKq2PM4F7a1fKhUtrAQx4IHz9QLYRpapf1tFdBmoYpB9wPJmUeGhkiCXYoCzU8KpqHhv3rrLv7Tc0dLgyipZHYLLDtibWvzC127hvIoCGMcjwPsFpJH1c1kdXE4DLDdEQuaz4KRFRzkEb1+anbbbJVnOanOEsuSR3f2p3hEQVg2MCN+i4b/IoKgDnY5Po8XXhkjCGM88Uh75d8HpKfiOevSTHmU/F1EtK5iW7NNbY6EpodsmW2EZR7lrIs8RQQiEunklFambS0lFhdta3ryuuWSR/XIWl3X0HIMJcqj4TRAbxTg6s7MTtptGiyHihe8z59zQx6R8uiMBWYDCRkjevgCANMgXw3McxiUxcTL38AUoWGLK6VEVX5ljVF+GHEpjwB5TYJF79Fmy+JSHlFBxRdenXD/zrsHU1zZdtBpmnjLtQ4+VRKaffP+GADmbGvtitbkLGj2a6Xqqh2BQ7LTAlnKo6r5BUien3G8PKtd2XaWMo96ae5lEaQrj6zqtltPUrg4DzZa4rbrLOqEhhfBMnQEEm1rRSHoDavaNusHCaGetybude055ZHK/aShawglHgCKYJSSZ2WtsHVxoTzKQRTF0qqu80Dy3CIyYezye9frQtO0tPWgyrYWSbXe6Joc25rKz6cI/81Tu5h6Ef7ouaO5fydVRpHyiEeNUKQ8qhOYneQZodC2Rg/aMpVOXfSGxYonHmw0TZiGhkOOhq/eaD6kueoEZraZVUse3et5GLmhMuWRVaU8UmBbK2tce+7OEEDSSigDRVaf0QLpsqptbb/vYW+hIZEpj0o2BX4YwzS03Acyz2saTAJYnBJp3mYaXvQniRS8tWARIR5MZtsaycp5G6Cy6DSM3JPiVUHtSou2NZGT26kfwgtirsOlc0MehcWEaRZESqjI06tCXjMaUE/JQz8PyM88AvjJo3GOJasMLYEgZgKbH3iVR0Yyh+U13ybKo4psK8H3oAoTN1xakwC+jXEYxSy/6KUHIsqjKXtGf+kbNvD8nWEuwQAAt+5N0HYMXNqaL1fgJfno82ww5RH/IdlpQdLmJ4M8Sg9YSp41s/dr/vdd2bJz2taqlEdphl5e5pEr3jLGXBsl63qSG6Y2LJuwMnnErE2ny7Z2PAqKySPbgB/GpYddZfN+ojyaXUey2ubysF7bWiDlc83DBXmUg7EbIorlBM7moUqJMs3xaaqAZVZbIoJ0oyQLCQu72o0UhEmAb5nPWQXedn0DD21Y+J0F6xoNAEXkEX2W0xI1A220FgfVOoHZpIQqyzwCVCmPfKYEqgNN07DT4QuTFLWtjRdO/2SDPrsXXhkBgDLlkUknd4XkEX+bVxU22yYMvXzIff72EFttE1e2Vw/LBopPxQcsKyhVHq14+v2g7y0FfLfY2lz8M4s2qcDMylZKHk1DdJp8EulkjZa3GSe71eLv1jRN+pBD72Gjxv1WpwGNB7TJvLqbVR6ZcP2Im6QbirTlSZR2rxOkPDIrNkRWxdqkEoW2NYFsmsWfB+RlHlW3p2Yhaltr2row2TVTHnFmHlnFG/hEeVRhW1uRuF/E2AtzlUc8G+NXex673l56wK88unPgMvvql71+E2EEPHsrX3106/54rmkNoOuKk0BMv+4sK4+mEjOPgPK8VbdASXd528Hh0J8rn+mPglLlUdPWoWslyiNR8oiu/ZLnheufTGA2IJE8kmFbM+TZ1nojv3CPx7P+lBV27HUtHA0Dpn4bTEJlyiNZUS2iiOMYhwNfGSlmF8RL1MG5IY/IN/3/s/emMbekB5nYU/vZvuV+y723l3vb7m673XYb7LaxMZ7MCOEOBHDwYCQMiUaQSZAYCzMiimaGJExAoAkoMprhhwf4kTDKIM0IMyMzEDIJwYmFF2ww4HZ327S7fbfuu3znW85ee35UvXXq1Kl3q3rrnPNd7iNZuM3XZ6uqd3neZ6mjoGCBTCC0iWcq0ZpRB7bFD34LVAdmGxrqEtODibrNsQwMXcN3fes+PvfSadaYBMxVGbTA7Oykktm2Vj5ZtivY1siChJ95pH5zdjqupzwCkoWVUObROEDH0bMFzU7HwnAWUpVtUzeEpi1vBlQhI49uJwvY5pRHaT4NrW2NEopcBYau4ULPYmYevXRzjKev9JT5xWltJuSZI5OhaSRhkZWVR2feQtMakFOFMjabHqPKmtwDrHF1PA0yAowHERucDFgV81ZD5FGVuazblPKov6w82pJsrCF/9zfKthbSQ+LzEAmMbwo08qgr0YpVfD2gLPOIrRwvQnY9x2vjLQNZW8i0rQHlG3gviLmqCUJSqVMeRaUEW6IKZK8FSPB1t2UIK4+G0wCDSYBHUxL5W97Qg2lo+NLL5eTRK3emeGMu7whIFGLCbWsFy7yIonfTkLQZqrOtscaIKSXG4XLaXnsnDc32gwhjN2QeJGuaRp1PqtjWHAHyywvOkW1NIXlkmbqyNUSSZUVxcwiMwSwr72G67iP7jNEsECowqYJVZx5FUYw//qs+/t6vfgV/8uIpnnpETZxEEQ+URyX41J/ehW1qeP9bdxt5/UyJQrnxk+aJ5okRVuMGQdK8oe7Smjpq29ayxqAVK48A4Ll3HsALYvy/X51b14gqg6b0MXQNtqlValszdA0tW5dTHnE+T69lwNDVhzXGcYyToY8LvXrXZX/LEmxb8xcml52uiTgGNfyWLOKbCMUDgJZJlEcTaBrwcE7doBI2h1AYEFuUIpJsf8umLnJnfohXbk+U5R0B9IaxYbrQy9fq1mn9ORr4ONxefEbaWR4dmzyibaLJgpGnPBIlvi2BfAgZsIoGVC9y6rSG9lpGI4HZt/ozbLeNBeKH/B6iC3CZwPP7hTwiGz3eQRKxtanM6RIFTRmhOjB7fhgkmnlUrqqhoeOIK1rm7yHKTo2lAAAgAElEQVRpW2Ns4P0g4gdmZ6pPNc/ohGNbYykvSd7Re9+8gxtHs1IrXhFFErllG3jmsR7+7BvLodmnYx/HQx9vzOUdAXL2QnJ9yH1ADr3OlfKoEGBdFWTuZLUy0shQom4modnEbsyyrQGJWrlUeVTJtsYnyL0VBWYDm5Z5pClZq8RxzGzRE1EeZQ2HZba1VHFOGndH07BR8qiu20YEQRjjD//8Hn7kf/lL/KPf+jomboif++En8HMfeaKR93tAHhUwcUP84Z8d4bu+dR87nWaUR21OYHZSudr8z2kZ/HBL1ZlHhl4/84in9GkSz1zt4aELDv7vnHWtP/Cx1TaYm3VewJvrR9SQdNmTU2LnogVm67qGnY6lXHk09SK4QaxEedQfiGUe5d+L+KNp+SVltZ0qQa7/3TMPl3edxqpayfNIs5ySPDBVJNn+Ft1G+NevTRBG6vKOgOR3LBuXxtNgaYFTdQIbz0KM3TBbRBCQRQlrU+D59FYjTdO4jVMy4YzkHlLVYDVgZMWptq0Rm26VuWyrbTYSmH3r2F1oWgPmhxCiNjlCbIuQ5PcLeUSeRx6pQGybqsjOF26MhO7JKIrhBeXhqG3HkCZjAHVtaxOKqoaGlm0I1VDnIR2YbdA38L6A2lw294mHCcXat9MxEUZs2/6NoxlsU8O737QD149w94y/diBqpbw6+N1P7OBrN8cLqnIAeJU0rV1eVh55gVjjXDHDR9M05ry6iXADVbY1ftMz7X6+lCqPbqe5R+QAlGVbA4iSdfG6RlGMSRXyiFjTeba1FWUe7XRMjN2wcl7hOP1dVNS5W4ra1iZuhCCMqcojEeXjlGHlPUgPDUnjWpXWPVE0rTwKwgif+sJd/PCv/AV+7l+/DE0DfvG/fBP+7T96B77/PRcbK95yFDar3hfk0X/88hHGbogPv+9yY+/BC8xuepNL4Fg69+IHgdrMI10JecTOGGoSmqbhA+/Yx+e/dpZNXP2hxyWyeAtCVhhhxzGkbGv9oQ/b1JiTIi8fqAoIaVUn8whISMHjUcA9QSwGJRKyl6aomjYcRJ9fWD3SkOoImC++aJsqlrqkCvYZNsIXbyRh2U9fUac8soykCreIMsWOY+vSGy0AOEoJ6MOCbU3XNW7mCMu2BvAJg9E0FF6oiJzSymA4CaiqJ9Xe/E1VHj1SJI+I8kjw/Y6z+Yd/eCEyx54H+GEMXcOC6q8MImG4orhz6uLH//lX8Mdf6XP/lqgAym1rOiZeKJ0bpiowO8k8kgvMFiUlCOaB2YKZR4wNvIzySAUx6gcR/DAuVdsTYpfVonozfabfcDEhd0Ryj0j22cO51sVnn9xGFANffnW48LeEPCoqj+b2Rf5vkKkgct9x7xyRR3EcJ8ojJbY1vrWbtvG/uGND05A1rpEDUJ7yqMy2NvUixLE8aeIIfP6V2tYy5Wy1+XI8C5XVuSeChPpriDkpyFYeMaNAyPqjRNFIDg2PBh7CKMbEjRpTHhkNZx594v+4gV/8t99At2Xgl3/szfjt//Zb8Z++84A7V9fFA+VRAb/7uTt44nIbb3+DupP0IjpZo0/5Dz9bUeaRZWrcBz2IYu5CQgYqlEckJX9/e/XkEZC0roVRjE9/5RhAQtbwiKyWzbbXzBh+8m5Lrmr4OG08YylPdrumcuVRdiJfk9Tb61kIozirnKfhpMS2BtAXmk3bQfObjCsNhWUD7FNjICEnVOaB7W/b6A/9UjLvpZtj7G1ZuLijTgXoWOUNY6OSrKBWxQnsKD2dLiqPAL7NhWVbA+htcQQy/nqyyVOnPKLnQ5iGrjToeOolp69VFjG9VHmksrUrjGK8fuzikb1FYnerk1wLUen/PFOOv+lIcgXX07SiEiKEAiAWhiuK01GAOAYzb42A1TbWtg3EsbxKRgV5FIR0YoSGlgQpQZAVbogqj0jdeGFcCaMYYcS3J4o0yIqCfM+y7JkdgTyym0dJa9rVw2TOFck9utWfYadjLpD4b39sC7ap4c9fXrSuvXpngrat49JuoVxBIo9y6kUwdG3hd00OZc5H5pGbkbP11xU82z0wJwWKa2LL1HGwZc1ta4LkUa9lLNnWxu5ihqIoRHLdvGC1gdmA+PxVxNgNldW5J8qj+mMCcQ9QbWsCYzArc/FCz4KhJ7Y1cl80qjxqkDz6+q0x3vJoF7/1D9+O73z7vpLrKALHSvKtVLSnn3vy6IUbI7x0c4y/+75LjeWiALnFAWWDsirlkW3wT0X9IFIbmK1IeWQZWmNteDw89UgXVw5a+L/+IjkRPRYgj5IQTLZMl6Y86jqS5NHQo+YdEex2LeWZR6fKlEf8Gts4jnE6WsxXIhMN3bYmZx+QhZ5bHBbVDSrBk30PJGxRItjfSsm8kt/1xRsjPP1oV+l4aZtJkH+ROBilLWV5VD39IF73YtsawG/R8YKYearI+0xDCXKPtsmrgiiKmZa5ZJGjTiUz80Lh9qciei0DYaTOFgMkhKEfxsvKI2JbE1x894dJC4yIHLxp29rMCxcqh5uCiJUJSKTsgJrAbLK5E7Ev0ogeAOikm8OJpEJRhW2tmHUjgo6kLQ7ItVMJZx6Vk3xk48ezXKu0rWVh0pTMI4C+MY7jGDf7Mzx60MLhto2WrQsqj9ylNlTH0vHMY1v4s28shma/cjsJyy5uyjLySOg+CJfyFve27HOjPHIZ5KwsbIEcP1oGKABcvuDg9mnBtsaJGOmWkEdE2Vo188hlBWb7cWOxBUXUJo8qhIbTYClqWyOuCJptrS2QO8dSPht60up8NPDmGYZNZR4p2POy0B/6qSJvNaQRgYiCUBTnnjz6d5+7g5at43vfddjo+/BCWZu21xDYFl9i6IdqbWvJg4RaJ8r9oY/9bbaypklomobn3rGPP3v5DP2hh/7Qw17JJjSPJPOI3bZG22jJ2tZORgH2OLlDjSqPFGQeAewaW5KvJKU8krQPVAHZaDSpPCJKjoDy7Mpk6ohgj0LmTd0Qr96Z4mmFeUdAMi5F8XKwfpnyqGoV+tFZ8l0OdpbvVV7bkedXt615QQTXj4RPuSyBU1pRjN0QcYyVZR7VaQ0lv4/KxrVbx4kioWgpJfcUT+lIcDzyhVWvdQLdRfAb/+dN/L1f/atGF6cAaeASVx6psC6MUwJX5B5gkkeEjJHMPaKpmSxDg66JqW4mWcuWTNsaOVyUt62JHo7YRjnJR+YUk9e2lipQVNzbhHwpC7blbYz7Qx8zL8Kj+y1omoarBy0x5dHxbEmBCADvemIbX7s1Xsg/e/XOZMmyBsybcEWu08RdDk3f37JwNgmUEvZNQTZTiwVLIHB65tHv58sXHNw+WbSt0exNBN2SwGxyICtrV3IEPr+7QuVRdmgqOH8VMZ7J5z7RYCqyrZ1xrms2/rCUR5zMxYMdG0cDf94211B7d9PKIxHxQhMgc62Kw7FzTR6NpgH+45eP8Nw79huTrxEYetKERFOiTGuc2MogaVvjBWarJY+M9LXqrHX7Aw8HawjLzuO5dx4gioH/8MV7mLiRmG2NqTyiZx5J29YElEc7XQtnY1+pLeR0lAz49dvWFms0S9+r5GSCNHHRqn1X0WJIBtTiqaZKaJqWnvBQArMnAbY7Cm1rlFrhr782RhSrzTsCco1NhUVImWKHZwel4d7AQ9vWS0/ckhYdhvIoZAeHssgjctq51RJ7RjIlh4IJmmzAdpjKI7WZR1WVfuQUUDTEWgS3Cg1LBIauodcypGxrPHKewLF0hFHc2OLxxtEURwMff/3auJHXJwgCseIMlTZLEuQqcg+wyCOiaJEpnci/ZpE00zSNqyQmIBsYmecgIyUklEfFQGYeaKQ0+Webo6qbK4/qk7vZb1RmW+OUYNxIm9bIfPvYxTaucZRHQRjh9omLR0rm6Hc9uY04Br6cqo8GkwBHA38pLBsAOulvIKQ8KjkQ3tuyEMfJYd+mg/V8ySLL22KQDKz7+dKugzunLuI4xtkkQMfRucR2ryQwu2pFPQnMZmYe+VE2dzcNJcojReSRZSQqG5HGQxZ4pKBI4+WUQUoDwMGWjXtnnlR7ahWYht7Y/B9GMU7HPne/1wQekEcp/vDPjzD1okaDsvNIQlmXJ50wbQ1ZifKIk80BAGEYw1KY1k6Uv3VOSvvD9TwseTxxuYPHL7fxO39yGwA/vFsk84iWV9CRaFuLohjHgsqjMFJ7sn888tG29drE51zpQrdjlBFVmqZht2tSF5qTFWSJkQG1SdsaQJ7d5WcoiuI0WFqhbW27XHn00s1kw6qyaQ0oX5zFcZza1grKo6qZRwMPB9vlUt+2rbMzj3x+5hGVPEoXsEX7HQ0qlUdkcclSHqlUsNQJWCW/j1LlUX8GQ8dSdgmQLMBFiaq+ADlPYCu0cZWBEOxf/OvlinGVSJRHIuSROpsl2dyVVWwXMWNsbglBLEsezdLMrrIMCcfW4QqQBpmqpsSSRQOvjbcM5GBKdHOfWYcKBxDkn1nKSiAfWKvCnkj/jUg0AW1Ov5WSR0Tpe/WwhdePXebzdufUQxgBj+wtz9HPPLYFx9TwpZQ8evXOBMByWDYwJ7vEMo+WD672BRTWmwJWppgsRMaIuZKuzLZmwwtinIwCnI19btMakBBEXhAv3BeVySNOA2oUxfDDc2RbcxXa1tLvXLdd7GziQ9PohE6WucYsIWKPiQc7NvpDL1tjNBeYXf/3oOFk5COK19M8npFHCub6c0sexXGM3/3cHTz1SFf5KToNbQohkLGlDSskALHAbD9kWzRkQSw3YQ0m9mjgYZ9jE1sFnnvHAe6k3mvew8uzwrAyjzrOsl+bhsE0QBjF2ON8HjLhqsw9Oh372K1pWQOArbYBy9CYi6oTojwqvN8Ow443W0GWmGPp2N+yGn9+afk0E441qQqyDKpCcO0LN0Y42LaWGsvqomxxNvMihFG8NMHXyTyife62YzBPk70g5trWaGQPUR6JqltFJPKi4J2wNdG2VpWs7abKrLFA3o0oXjt2cXHXKc0q2u6YcsojwcWaytO50s+SWoW/9PKA85f1kKwD+NeSt7GSAVkfibTusZVH1cgj16crDHmNjATzxh8Z5ZG8qmfmy4XT00J/yXqQd61NQ4OhK848KpmbLVNHx9Gpz+aN/gyGruHyhcSCdvWwjSiet6mV4eZRuX0VSO7ft79hKwvNnjetLSuPulKZR8sHV/u9ckXvJkKt8kggMDsNGC8bqy/vJtft9omLs0LjLg1k3ZBfR2fkkWzbmsX+/CSLclW2tV7LgKYBA4ringfVyiOgvm35dJw0BtPGM1HlUcvWqQHSh9sWTkZB1hJdjERQhSaVR2T+f6A8WhO+cXuKl1+fNB6UnUeHYmNS6S3mQUR55AfN2NaqnnAHYYTTcYCDNSuPgKR1jYCXgcGzrbmMzCNyaiLijScDoYjyCIDS3CMZOwcLmqZxa2xPKOHcOx0zC9srYuJGUifAVdBxjEYtawRJq8XyM0RyW1SGyXcdA46lLy1yX7o5Vp53BOQXZ/P7fURpxEiyxKq1rR1QnlnexpBXw8sitGTDGS2BcFFRkCp6etuamrBLgjoB9cSeOBQgDkRxq1+ec5K8nyn0XhM3xNTj25QJGieP0jHyy68MlNwjNPiBWGC2rTLzKH3mZQKzyw5g5sHG8m1rtM2yaJYVUQ/RrBNlIH8r83lZh09lyKzBftG2lm58Odda0zS0LENt5hFlTGQRuzePZnjogp2tUUUa124dJ/bVRynq4Hc9uYO/fn2Cs4mPV25P0LJ1PHRhedwgJF/lzKPtc6Q8Upp5xFdjzhgHD4QovH3q4nTsU+ezPOaHETnyyK2nPKLZ1sgzxVojqISua9hqix9+FDGeLWdJVgV5Dus2rp2NA2aOVaZ85LStsQ6vSNMuCdgXVYPLQrWiOw9yoPsg82hN+OO/6qPj6Pjudx6s7D3bNlt5tJK2NQHyKIjEFo2iMInyqGLWDmFaN0F5dPWwjbc8mijV+LY1g5N5xG5bAyCUe0QWIvy2NfXk0ek4qB2WTbC3ZWXXuvS9UtvabiFfaadrlUrcwyiG6zfbtgYAP/X9j+GnP/hYo+8BABYlmHA4ISSLuu+paVpSK5y7HuNZiG/enTai1CyzatFIlyrKoziOcW/glzatAWnmEcu2xgnDZGXJDdPFq6itUKWSY5jZ1srvDdUnZLVsa60mArNdqp1UVHlExtd9icwjoBnyiBBZzzzWw8yL8NXrI+XvQSCqPBLZGIqCzHfqArNVKo/YYwQB+RuZ54DXxluGmS+Xk0kjpcnzzwvMBsStezxMOQTbTqd8TgeSzKP8Yc3Vw0QhxGpcu3k0g2VoOKAoT9/1BMk9GuLVO1O84eJy01r+84plHi2rnslB23loXGPZQmUhoqadMuaOSxeS63b7xMXpOKA2cuVBlEd5IpqoWmVV4sRWT5uTMwJ2RcojID00rWNbU6U8Ira1muuI07HPvK6mocM0NOa8yssOJuQRURc2ZVtTrejOY53KI1uhKv7ckkdf+PopvvvZQ2UPkAjalFDWecDiKpRHGjdLI1Eeqcw8Ira1av/+0RqZ1jJ8+Dsu4dF9hzuBJSeVITWgOln80QOzAbHsh4w84iqPkv//GYOgkcXJyMcFAQmxCPZ6Fjcw2zS0Ja92ojxankRZ7R0q8ewT23jmsa1G3wMgltPl8aMJ5RGQPG9529rXXxsjjtXnHQHlIdFz5VEJeSQ5eY1mIVw/om4eeBtDz4+ZG2mHoUoYpddHdKGiUslByBHavUGzQlZFncDsnuLA7Kkb4njo08mjtiHUtiZKzhM0SR6Rz/LcOw6ga83mHvkcqyaBiCVFFHPlUV3bWsXA7IBOHjmCQf2TCjEEnQqB2a4kUZtdp5CiPBIgClU1CU4ya1/5e9KI3TiOcfNottBsutU2sdezcO0uXXn02vEMD+85VEvMW6/24Fg6/uwbZ3jl9qTUsgYg25iKZR5FS9+v7RjoODr6CtdgTWGu7Ku/fhJpZJwxVKvbbRNtW8ftUw9nEzHbWtkaejxL1tyyzoq5aq/83p8H7a+uDVrGdp1HGMWYuNHG2dbOJgFXUcZrsJ56URZqXwZyePjNu1O0bV3pPjcP1euqPPoDsdiUJvBAeQTAD4Af/PZLK31PWmD2vGVgFZlHOrMxIIpihIqVR3Vta+SUhmY5WTV+4L2X8Ls/+yw3a6Bt6wgjOiPPyzwCxBa/okz0jmLlURzHCXmkSHm0v2UzswBOxglRVbSZkhOYIkk35SxQzxssisUoU+gozDwCEqVf/nq8eCNRORDlnUqUnWhkpEvRtpbaQWVaA++dJd+Dpjxq2zrcIKaOUYltjZN5xGlbE808shS2Vw2mASxDo26ILeVta9UD6lu2DkPXhLPeeHgttaowbWsl40YR/ZHcYs1RqBwrgpBHb7jYwlOPdvGllxskjwSLM8ipvAoL3TzzqF7bWtXAbNenz8ltjpKYIDu0kArMFrdDEUwlbWs05RGZU0TWfDwrvihYmUcAfWN8NgkwmoVLhPCVwxauH9GVR7f6dAUikMw/3/qGLfx/Xz3BvYGPxy8vh2UDyaYwaU0WDMwu+X77WzaOB5ufeTRjtJ/JgtxbTNuaH1LnKU1LMq5uHs0wnoVCgdlz5dGiba1KULSuJ223tM9P/vdV2daA6uTRtKJ1jwZLoW2NRwrySojK1H55ENvoa8duY6ojIMn5bSowm5QUrSIjuQiVpQnndlf2+OU2nmpgE8QC7XSbqJGazmYBksHND2Pqgpnc8Eozj9KvVZk8WiPTWgeEDCxTm8VxjJlPPzkkA4OQ8mjkw9DpuSYEXceAaWjKArPHsxB+GCu1rZ2MfGrl5+koKA3n3u1aCMJ4qalmlXbQVcBKn90ieOqSqtjrLWZQvXhjjIs7dib9VQk7O9GYfz9aI4aTnoTKKB2O0jGE9tlZJ/8iTSrMzKNZAF0TH9/JAlqF8mg4DbDdWSZcCUxD7SJnxpGNs6BpWlKvrEh5RAJ0aZvGrY4JP4y5m+FNUh4RImuvZ+PdT+7gK9dG0tYsUXhBJNa2ZiwTv1VB5rtiS1IZWOSRZSbqApWB2bxTbwLynjKZR46lQ9PklEczRmZi6XtQLAeETBKxKCpTHrkJUUA7gNvumDgrCQO+WWhaI7h62KJmHsVxjJv9WWlYdh7venIbr6eE8+MU5RGQjOO8Vrw4jtO8xeXrs9ezzpXySIVtTdc1mAzyBeBbni9fcPD1W0nbKysbh6BMeTSaVrdr2VZywFQGknm0StvadsXMo3louJp1sUlUZTUPoZIWPRHlUfV76ELPgqEDcSx+mFcFpuJDuTz6g/U1j8+zv+p/t3NLHn3n2/f5f6QYHUcvDURc5SY3O32i3NhBdgql7tJmbWs1lUfremCqgpwmzvzlBaEXxIhjuiSYTHBCyqNh4hWmNQwQ8GrtZUHaz9QpjyyEEb1+NFEeLb/XXFG1uCDL7KD3k/KoZPFFlC2imTqi2N+ycDoOMvntizdHjTVTOtkCZP79aE1hVTbn91L73eEOJTCbkEclm4KsSYWxubJNOnk0mgbotekEThEqM2QGkyCr9S2DSm9+GMXwgriW/brXNpQFZpOQ3Icpm0ZCtvOsa2T+udATe74aJY9yc+G7n9xBEMb4y28Olb8PkKwFxDKP1NvWAH7jGq9KvOMY3E1+ESra1qZpa5TIb0egaRradvn6kIaZF0oqj8qvE1kLihCFVZsui+AVWeykqoriISchj4oFFVcP2zge+qXE89kkwLhErVTEu57Yyf47TXkE8Ft0geQ3DaPysXB/m23P3xTwni9ZOCa9kRRg29YA4PKujbupglgkMHueoZfLPHLDyooTh+HacCWsn6pQVXk0Uqw8IkH7QY3xf+aFcIOYqyhr2ezAfp5t3tC1LN6jSeVRk+TR8chfm5DigW0NwHuf2uH/kWK0HaP05GqlbWuk1Yhy8cnmTSTrQBRmXfJo4GG7Y650YFYBMumWLTgJoUTNPMoCs/kP6fFQ3Dq227WUKY9OhsnEJbqp4oGQg7QwydORvxSWDcwXEkVS7G+M8mgawNDVKxdJQP3xKFmUX783ayTvCMgRJmWZRyWB2YDcBJYpjyiTLlnklwWhEgUQ61TRsZJrU6aaG07DrElMBLx8BRkMJgGTVDQULnJUzGNbbVOoaUsEt/ozdFsGdaNBfhdexlJCzpvC+QiryDy60DPxjjduwTS0xnKPvCASsjKRCneVgdkAv3HN9dgbto4jZi9aeE2W8oizcSGYemGlsTixxckqj8TfxzQ06NrydSL/LHJg2JL8jDQkvxF9TNzpmAij5cKQm/0ZNA14eG+RCHqMhGYfLauPeApEgrde7aJl63AsPWv3KkPHMbiK8Ex9RlMenQfyyFOnPALomY0EUw4Zeil3TUQCs2mZR92KLWO2JWBbs1aXebTTMTGchdL7qjFlXVUV2dqthm2NRGmoyDziHV6R3MumlUeNta0NvfUpj0hw/N9k8kjVgCgDcnJV3GBMOP5vlZhLzMtvbLJRMhTa1nQFyqNNCcuWAZGUu2XkEWdink98AoGuI/HfZ6drKss8akJ5BDDII0rLBlEeFUOzq1QmbzJoyqPhNKldFVW2iCK7HgMfX0vl4m9tSHmU2dYKmUdmSV7P3Hctvok5GnjotoxMYVQEGXtnJWStSBgm+Yxli8vRLJSqxSUS/7oycCAhrpjKI4XkkQqyttsylLWt3erP8MieQ30uCHnEO709HsnJxB3OAU0d5ImstmPgmcd6jeUe+YLKI4CfpSiK8SzMDiN498HMT2x1NMUtrd2WBTZ5JGZbG03ZxAgNiVJKgjySzDwC0gOIJdtaqjYXODBUaVtjjRNkzCo+mzeOZri4Yy9do6uHCTFU1rh2q58oEB/lkEemoeO9b97BWx7tMvMsO5TimzxYRPr+to3BJFBCtjYJ149g6OoiLGye8shnb/wv7+bJI/58aps6bFNbzDyaBdVta4wxzvPZRHYT2O6YiGM+yV7E3Lamhjwhhyp1bPZk7c4jBR2O+nPqhdQ1HgHJvSy2+KpEo21ra9wPs9a5sji35NE60LYNxPEyazdvhWr+56SFJhIEEuGJoqhrWzsaeOeUPCLKoxK1mU9fXAD5wGwB5ZHE5ma3a5U2k1XBSerbL7OSVcFejyhdlsMk/SDCaBaWElU7nbRFrpCRkAU+3ie2NRqhMORYk6oiT+a9eCMhj5pSHjklXuqEdDGWNv+VbGtnHjUsG5irtsqURyJtRKyQ5OE0WGqM48E22ZW0okiUR/T3Ng1985RHijKPXjtmh+RmtrUJe8PeH3jcJss8yL2gYpNdRHGs/7Ynd/DSzXEl+wIPvqDyCOBvDEUxdkNcSjeJvPuAFW4NJOpdleRR206+I28dI0s2EsiGUbuSmUdAeduuLxFVoC4wuzwPiCBTExfWKjePZkuWNSCxsWkacL2kce1mqjx6mBKcn8f/9CNvwsf//luYf9O2dW7OGCv3iowlJxuuPpr5EVrW8vxbFZbJzzxymJlH8/lbJPMISA4jxgoCs4HUmk75/JltbZWZRxSClYdxQ4HZddrFiBtCJPOItS4SUR4RRX33HGYeBWGE03EgtR5RiQeB2WvCPJS1PNh3FW1rTskJfx6NZh5VPFDuD/1GQnqbRpZ5VLLYImokWuaRaNtaHMc4HvrCg8lu11RnW0vJo7IQ6yogTQhlyqPT7GSixLZGUx6RIPr7RHlkl5waA4ltTcYWJQriq+4PPbx4c4TLF2xlKrMi5jXSi5lHZZararY1n9nWOM88YtjWOIHZtM80onwPFmjXWhaDKZtYtBRWyqpQHvUUKY+iKMZrnJDcrU7yObm2NcmMAdH7Mwhj3D1zhV8XWCay3v2mHcQx8OffGEi9jgj8IBaunrZNrXbbThIyHOJiaivg3QcsogdInmnZzKMZg5AiczWPPDkaeFR7LAsd21iyabEw9UJporZsXJkHZq9QeeSFzE0ebd3h0rYAACAASURBVGN8sz9bCssGku/10AWHojyaYX/L4ioSgGRDzRurO45ResiQx7zptaxtLV3nbHhoNu/5kkVCMLPII7Ya7VJOeUQODHnotRZt0IltrWLmkUUnyMmh16rb1oAK5FH6eygjjzg5uiIgkRP8tjV642Ucx0KFHYfbzWceNdW2djJKfqf9Ne2HDT2xPv+Ntq2tAzQlytRL5NcqG85oIDJ0msQwyzxSqTxKXyuUqNYmiOP4/NrWLHrbGu+Unth1eLa1iRvB9SOJzKMkZE+FH/dk5KPrGMoWGL2WAcvQSsMkWRY5stijZR6tIktsFbBoyqNpqDwsG1jMoHrxxghPN6Q6AuaWsLwsnLbQazFIWRruDTwc7tAn3HnmUQnRm50q0sfEeZYc5fpILlRYp5yiCKMY41nIbOFT2bY2VaCgVUUe9Yc+3CDGwwzl0baobW1YzbbGW2D9hy/exQ/9z38hpY4pqlqeudpDy9YbyT3yw0g458liBMaLYupFiGPg0m5KHnECs3mb26QVS6FtzaErifPoD/3sIEQGnVbztrVkXCkojwLxA0PHNkpt+LKYuGxrX9nGeDQLcDIKqPazq4et0syj1/psBaIs2gKKtswyX6J65mU7bgpmXshUAskiIS7pc82Ucz9f3LGhacn8IrrmzCuP4jiuRR7Zpka3ra0pMBuoQh6pVh7Vt61lyiMOKZiQ1+XPXhJSz19/ECFCE2tmAtPQEMfV3TY09IekbXU9+2FN01IS9QF5tFLQ1CR16o1lQZLxaRsTsjlVSWSRl6ryII1nIVw/OpfKI7LYLBvsssBsjuyeF5hNLF4ytrUo5p+2i+BkFCgLywaSgWl/uzxM8pSonEpOJkxDw3bbwNlS2xo9tPI8wqQEZg856pKqcCwdW20D37wzxc2+i6evNEgeZV7q+fejkWKyyqM4jnF05jHHkHnmUYltjVQWV1QejWehtETaNrVaizFg/oyvqm1tpkBB22ubGFcIAS0iC8ndo28auy0Dhs5uW5u4IaZeJEUe2YL35/V7U8y8CLdPxNVHSd7B/D62TB3veONWI7lHMsojh7MxFAHZ1FwktjVeYHbAI4/kyJg4jtnkkcB1DcIYJyO/kvKoKxDEnH8fP4ylD0bKQovnbZKiyqNwqQVNFlM3YiqByJh1lns2bx2l2UUlyiMAeOxiG9fvTZcb2jgKRFl0HZ2raGONheT5PR4u2/M3CTxbqCxYtjVyP7PuCcvUcbBlCYVlE+Qz9GZehCiuXlEvZltbbWA2sHxoygMZY1Sti8lesY7ylLgGeOtYlm1WVPlM1oHNtq0lz41q8ogcrFc5nFAFVY2bD8gjCbQz5dHiDz9x+T5NVSALW2rmUboANBUy6HPbmvyDRIiE86k8oiskRPJBOg5feUQaz2QCs4Fli1cVnIx8ZZY1gr2eVbqoOuUE6u2UZDlNM2vg/TFMWYaGgJqp08wpyv6Wjc+9dAoAePrRZsKygbnScbFtLSid4GXJo7NJAD+MOZlHKbHPyDxihQc7ZnkLRRDGGLvyyiOLI/EXATmRZJ2wqQ3MVqM8Avh2XR5uHScbTdamUdM09FomhozF93GF+cdIA89514/MbXdOxTaRNCLr2960g1fvTLNGQRWI42QzJ2pf5+WZiIBcc2W2NYFK9TwIce1QrORkU8J6zdOxjzgG9ios7nttcfKIjDM02zsNZdah+ZpPgDyydYQRao8ZEzdEl5FFWJZ5dCMlhGnk0dWDNiZutHD45AUR7p55apVHtiGQeUS3zJ8X5dEqbWsih6kAcPmCI5x3BCwSsnWzfhyLH5h9LmxrbmIZZYXCy4DY1uqMCafjJHqBJ1pg2Wan6TPX5mScXkyVrU0cuBKQhnHVuUdkzFiX8ghISdQH5NFqkS0+ChMPr7ZUJTJ7COWUsJHAbGJbq8DCZjK9Cid560amZigjjwQWf92WyT3h6hPlUU/s9yHki4rco5OxeNaSKPa27HLb2ojd7LbTMZdta26SCUFr4zlvKAs7jeMYg0mI7QYyj4Bk00x+16caJI80TYNT2ICOpmFp0LSIAiAPsqk+YNnWiCWl5HnLNpUiyqPC4njs8gkc2uvVDSAmyqMtTttapEherSbzKPmsdZWRt9JK74cYldtAsoBkLb6rkEeA2OkceW3R3KPssxTGwHc/uQMAStVH2TpAOPOoPtlJNnlbbRNdh29f5NvW5DKPyPVita0BbLtsf1D9sEvkOxNkm+1KyqPFZz2z3IgEZisKTJ1y8m0sU0fH0ReezZupJY1lWwOAa3fnuUevH7uIYyi3rflhzK2dT/52+Td1LB29llG6ztkkzDzV5BFdTZu1D3Pu53/wvVfxD773qvB7EiUrMLfB1mpbo2UekVzEFR5UiraFFlHHulcGFba1s4kvpChrp5lHZcpH0fXHmx7q4H/84Sfwt992odqHFYBpNEMeVV2PqASLRJXBA/JIArTT7ZkXrSyXJQumpdrWGsg8ytrW5P/do3Qxxgq73VQw29YElUe8E3gymFzYEtucEtvXqSrlkaKmNYL9LYptbexD0+inBTvdEvLIi+6bsGygvBlr6kUIo7gx/zaZpB7ec5Rf6yKKaptEeUS3rYluYO6dJffTIWMMcUwdmkZRHpEaXlbmkVlOaJEFq2zbmmUs20vK8FevDvGd//2f4qP/8gX860+/hlfvTLKFFWkR22Eqj5LPrWKRo6I1lAS/1809utWf4dKuza2a3+6YTNvaPGNA7vBCiDwaySmPaJL1Nz/SxXbbUJp75Enk4ABqbJajnJ2i2zK4bWszL+RmHrl+JHxv88gjmnI8j6P0fqlis++1zfTz8p/7qs2GZSSfH8ZJEKrAIUuLcSAmiiCM4AVsixKwTOzePEqCr2kHrVcP2wCA6/fmuUfEvvqoQtsaS6VKQO4R2mfdo6xzNgmqbWtM5VE2d7DviXc9uYNvf2pX+D0T5VFyD5GDnG7JmkIEtkW3rZE1gsp9Ew+moaHbMqqRRwrFCqpsazsCSiBCLpZdB1Hls6Zp+OB7LjYaFWM0pjzy0HWMlcXclMFRVJrQnO7rPgTt5Ip3CqMSfPKogcwjvY7yaP0ez6qwDA2GXr7JFco8apm4d8beWBxLyhhVKY/iOMbJKKhUSczC3paF07GPKIoXFrMno2RyoUlttzsmXrm92LRSpY1mk5EEZi/eS8Ry05QEdy/dBDWZd0SQLM6SMSIIY0zcqLRFTta2limPGBs6TdPQsY3SjaErYlvLArML1yfdAJeRYCyIBma/fHuC8SzE7RMX//z3ruGf/941PLTn4DvespuN4aRVrAx5ebVT81HObKIc2TgLZGHPC0vm4bW+y8w7IthqGxgy3os0IsnOPyILrEx5JEge0VSmhq7h2Sd38KWX1TWuZYdIEsojmaawMpCDkl7LQK+tRnkEJCSTiK2XqzwibWuM61pXeQQkJNpul/0MzcmjCkH8hc/vB5HwdZ4rj6pfax6xQrDdXjwQutmfUVVHQBK07pjaQuPaTZJ9plB51MmpVHc65X9D7mXaRnZ/q9yev0mY+ZHSdbfFUO6I2tZk0WsnDYYkLBuonnXjMAKz3SCCY2rQtNWq3LdLFPc8jF3FyiMFtrWzSSA0ZuajQIquDRWZi6qQKY+i+iRLHrLlHU3gQWD2GkALzJ56q8s8srJWI1rbmtyJowjIS1UijwYeLENjNgZtKjRNQ8sq35AqUx6NfGx3TOFWHFXKo+E0CbXlVWvKYq9nIYyWQwBPx2yV007XwtmkEJjtRfdNWDaQtpWE8YJkl6gmmlYevaVByxqBY87lsOSUsIx0kbVO3BMgj4DEYlCWZeHL2NaKyqPMiiO5ybPEAoiJOuN//5lvwaf+h2fxj3/ocbzpoQ7+4Ev38G8+cxsAu8EkW/gpWOQosa0R5VFd29rxDA8LqA2223zbmqbRs9ZoaHFsh1EUZwT+nVMx21qWd1CyePy2J3fw+rGbKS3qImvgEszw4DUpiSCfSdJrmdx7IFFG0O81MvaLklrCtjXG6xHl0X4Fmz3Z1IrkHlXdbNsl2VReEGdFKjzIEvdlmMzYxArBTtdaUh7R8o4AQNc1XDlsF5RHLhxLV2rzIGpm1tps6oawDI26Ltvbss+F8ki1bY2vPFK7D+o6BsIoef26LWM2Y9PsBdFKLWsEOx2TefhRhsS2pm69qMK2djz0sSMwx5IxuKzxUUXmoioQ8iisXxy7gP6GkEcqMo/O345+jZhnHhWUR26IlsKTERaI8ogamJ2eOIqEJ4qijvLoKK29XTWjrwotW4dbZlsjVhjG4jxpW2OPPicjX2ph1LINOJa+1EwmC5JBpDrzaD/d4PeH3kK+0ek4wC6j2W23m+RDeUGU/aYk8+h+gWnO6z/J5EQWDk2TR08/ugLlUa4JiGX3yixigtaJozMP2x2TuxCmBaFmmSAM2xot82hYkdyzDE1ogh7NQhh6Ms60HQc/+L5L+MH3XYIXRPiLVwY4m7DVgYZCb/7Mi2Do9aT7Kmxrrh/haODjYRHlESfzqD/0sdMxpZW4vFDJwSTIbNx3OepSgsyiXDIOvvtN2wCAL/71mRKVBVEeiZIKKgKzib2k4xhJJsyIPUeJBGYD5TlmtNcDBMgjjvJoq21U2nR3ZcijirY1y9SX1n5BGAkXpIjkPvFA7F5c5VHHxDdenyTv54e4e+YxySMgyT0i/w6Q2NYe2XeUrh+J3Y4VnD71QqYtb3/Lwhc2nDyaeaF0IDsLdsm9RzCteD/zQBSHo1k4J49qtK2xArNZa/mmwDv8KMN4FmBvq63sM1g1bWvHQx93zzw8eZki48uBpf7MyKMNODBuTHk08vHGS+quXRWo2D8CD5RHUqBl4CTZLCvOPKJsFoIs62AzyKP+wKt0ircpaNk6VXnkWOww526L377SH/rUEGkadrtmbeURIY+aaFsDsBQmeTLycYGlPCppZ5m44X2VeZRN0gt19oScaOZ7/idvu4D/+rlH8ewTW428fh5WzqqVkUclJ2S6noRryyiPWHlHBG1bx6TMtkaIXoa6j6o8qph55Fj0hXYe41mArmMsbY5sU8d73ryL595xwPz3VbaCJDbR5c8iA3K9eTXtLBCb4iVGQDrBdsfEaBZQq8ePh16lkz7e6Ryxw+1tWcK2teOhj91uucr0DRfbONi28CVFuUe+RAMXoCYwm4Rbd1PbGm/u49rWSHOfYOMaGU9oCkORtrX+sPp6JbNsCimPSOGGpPLIWC5d8II4K1LhQUVgNiHzRMgjsjG+1U/UeVe45FEbN/tudgh6qz8Tsq/KgNjWxjNWYHaU/V0Z9rYsjGahkhP8ptCM8ohmW6tmw+SBEEXjWVi/bc1MbPVlc4UbxGtRHvEKH8owdpvKPKq2hvjq9SEA4G2P8Q8oWeT1lGMVXSUaa1sbeGtvHmc9xzJY/1U6RzB0DY6lLy0+ZumiexUgp+c0Bn0TM4/W/bDUQds2Shdarh9yF34dx+AGfr5+7GbVxqLY7VrKyCPlyqOtcvLodOwziSoiec1b16YrDKJfBTJ5cO5+aDrzaKdj4Se+54qwLbIO8g1jwxmbFJORzh4NfKEA27ZTXu3tCzSpzLPkFp/VysojU6cS/HmMZiG6NVRnKltBpm59+zWx7shK8fMQadcj2G6bCCO6tel46FciA3j3Jxnfnn60i7EbCpFlxyO6ZF3TNLw7zT2iEWEyyJRHq7StzQJYhgbb1BPbGuc34ZJH6b3Is37nXw+gEzIigdn9gV85J2ZuW+PfC5UDsy19SSHgh5FwTIFa5RHHtpbmucRxzG1aI7h60EIYxXjt2EUcx7h17OIRDuEki46A8mjisnNMaeucTcLMV7t+KhZiLLyX21zmEZAcRozqKo+s5fUXgedHTFt7U6hEHiluW9M0TbjgowzPXx/B0JO5kAdW5poK27wqqFR0E3hBhME0XHvzuCrb2v2zM1sRkhybYmD26jKPyOk5v21NYeaRUYc88jIr03lEyyrPURFp2CMnkbTF79HAw90zTzrMOFEe1bStpeQTy0pWBWRRlc8DiKIYZ+MAFxj5SmXKo6kX3leZR1leWe7ZbTrzaJWwc4GULOURkJxQioa2DiYBdgSyuTpOuW2NqKFYG2le5pHsfcgK58xjPAsrB4ACasmjmYLiB8vU4Vi60AaahnsSDZ28uuPjkV+JIBcnj5KxW6RxrT/wmJ/l3U/u4Hjk45U7U+rfiMKTVCCz8kxEMZ7Nx+teKwkypxFhcRzDDWLmZjPb5CvKPBKxyybKo2rkUbctk3kk1k5VhGXqS3mXfhBLBGbL/aZlmCsE2J99p2MijGKM3XBOHvGURxfnjWv9oY+ZF+GRPXVNa0DOtsbKPOKs6Qkh3d/Q0OwwiuFxni9ZsKruq97PPCwoj2YhHFMTznErwjbpB+9JXMLqozW2cwSrCEhwuEryCEjWplWVR89fG+FND3eFBBRM5dEmZR41oDw6GVYvY1CJB+TRmtCyF0+3gzCCH/JrS1WBDJy0Bz1oQnmkEfJI7t8LwginY7EU/k1Fyy5v3ZkJ1KCSkzkaefTC9REA4K1X5MKMd7rmAslSBUR5xLKSVUG3ZcA2tQXyaDAJEMXs0FpCDuSDtldJyq4CVkmt+nAaQNOqN4hsEuwF21oamK1AeTScBkJtZ22KxdQLIugae0wkC0e3QGiNpgG6LYPaEkhDWTZJGUa1yaPle6oqTsaBkuet1+I3bbFwdCZel04Ue8NJ+ftVDajkkSkkz4cE0YtY145HbBXUt71pBwCUWNcCycBslqpAFPkWoF7bRBDG1MZB8r+LtK2pCszWdS21oZe/XhzHOBqKqRzLkG9b44F8BllbUXlgtnhey8FO8iyIkJ00TCRsa0Ay/984mmG7Y3IVtlcPE3Lp+r0pXkutbiqb1oBcYDaDRJy47MyjvQ1XHnmcZ6EKbFNDGMWISg6Rp1lTVlPKozAdX6ofshHlUdmY5PrrC8wOo3hJkEDDzIsQxdXVVzSYRjXlaRjFeOH6CM9cFTsAZ2UezbwQmqb2nq0Ks4Zggoas+XXd5BEnz1EU679K5wydwgalqaA4Gsy0Pp528ckmQvQkSgSZbU1yg3I88hHH639Y6qBlG6UseaI8Yg/gvMXvCzcSuedTj0iSRx2rvvJo5KPXMiqf4tCgaRr2tqyFE7lTAZVTqfKIs4A7byDPZN52MJgk5AErO+u8IG99IRuouuRRHMcYzUKhTKi2TbOt8ReGmpbkMLl+0bYm9t5F2Gm+Ag8jQWKMBkuR8ujOiYs/e/kM73vLbq3XARI1UB3b2r20oXNHwMq53UmuzaCk2Wvihph5UaX5x7HKDw0IjoceDF3DEw8lIaEijWu8mt6H9hw8su/giwrIIy9TIIu3cNXNQcifiBNCdES5D8icygzMzlWqi4BHHgGJkph2XSduVPl+AeZjnYjyyK0amG2UBWbHwoeFOx0L2x0TN46qq9uyGnuObS1PHt3qz7h5R0BywLTdMXH93gw3+2JWN1mQzz1hXKeZFzHzFssU1puEeQaRWtsaMB9bFt6vsba15B4az0KM04OcqiC2tLKmai9Yn20NoCtni6ib+0SDZWhZzpgMvnlnirEb4pnHxDI1ecqjlqVvRLmSSkU3AattdZVwLJ16qCODB+SRJNoFawTZrKwy2Jd1qp0FZeoqbWvJ/5VlYfuZ/eD82tbato4ZpW2NpzziVfd+9foIj1/uSOdl7XaTzVmVwZ7gZCQf1C2K/S174UTuZMxXORWVR1EUY+azF3DnDWZJYPZoFtwXljVgsQqXZAWRxV8RLUHyyA2SzDARgqXMUgwArh8LncyXEVqiqqciSPMcT44+moXSYdx5qGoF+Xefv4MYwN9936VarwOkyiNOTTsLRwMPBzu20CKSZVs7rrFY492fx0Mfez0Tl3ZtaBq/cW3ihph6EfezvPVKD68qsK2R9YGw8sjQEITlqgJRLCiPOHOfCNFDDl9EA7NFXjMhmMuvKznwqBqY7Zg6DF0Tyr+qHJhtavDCxdBfGeURkOQKXU9tZFUwEVzz5g+EbhwlrWlCn++whWv3prjVn0HTElJVJdo2/75KMo8Ygdk9Qh5tpm1N5FmQhc0gXwgZoLqxLJ95lB9fqmCea1imTl5fYDYgQR7NGiKPKtrWvnJNPCwb4GQebdBh8XxdpY48Oq45v6gCWefWzVZ8QB5Jorj4WIdPM2nc4GQeNaE8krzZ+hvi8ayDlkVrW+PXyGeL3xLlURzHePHmGG+VzDsC5vavM8mgvTyaJI/2etZCTfMpscgx3q9lGWjZeqaoSga31Sn6VgGyeMmTR4PJfUQemfN6+tEsRMfRqSfiPGUHAVEudEWVRyXPmmieQZ78yt6/IrljmTqimE+4j2f1mlNUePP9IMK//8JdvP/pC3hYQbNRt65tbeDjQHDOyGxrJWTVnAxoIPNo5GNvy4Zp6NjfsrjKI0Jk7XPG3JatRlLuy2YeWXRVgSgmuRagecV2+RzlCigjsk2+4L0kpDyiHAYByX0HiGVtlUHTNKGGVSBZP5iGJl1kYFs64sK44oexVLvulcMWbtyrTh5lmUeCtrX+0MftE1dIeQQkjWs37s1w69jF4bat3MZiEPsiM/OIvZG1TB3bHXNjbWtZILulbjNul2Q2Zu/nh9z24Sro5DKPRjWzfkjZENW2tqbMI0B8LT8nj9SuGa2KtrXnr42w3TZwVfDZdjjKo02JqTAayDwi++Gm9l2iIHNI3e+2GVfqHKFt6wtkwMxtpqKSBZshMc8yjxQO4lnmkeTNlrXmnGPlUYvStjYTqEHNT3xF3Oq7GEwCvE3QK5zHbqrSqdO4lpBHzZAW+9vWgpybhHPzQo93OvMsJ0LY3VeB2cayba2qLWoT4eTIF54dS9S2RsijLZHMI8eAH8ZLijzRk/myzzSaBkLvvfRalPa2PIglr7fmtrVPf+UYx0MfP/Qd9VVHQKIGqqs8OhRsoNwWUB5VbVtjBZ7nm9Mu7tjczKPss3CICVFFHg+k6U+mbQ1Arca1PBHKs62JED0GJ6No6TUFcpQS8qgZ5RGQfG+RjKaZX22jNC9MyZFHQSxlP79y0MLdM49KovEwcZO1Dy8HjmyMX7o1RhQDjx60hV7/scPk87382lhYrSSLjm0wM4+mbsQlx/a3rA22ranPIGKNEU1t/A1dQ8fRk8yjmgctc9taeS7iWm1rgvNl3cY5GkxDW2pxFMHz14d45rEtYasZ27ZWv7BDFRqxrQ18bLWNtWc60cphZPGAPJJEp1AHPcnqBVf3U7LCLf0whqFrSk8AqratbYrHsw5oJ5VibWt05dFXs7BsefIoq7WvkXt0Mg4aVR6djvzsfjkRUB4B82pfoLkAxnWCnDL7hcBsXojoeUG+jYWn2BElj4YzdvB2HrQqbi+IhSZsu2RcHVZWHtGbXQhcP0IYxbVOUzMrZI1Fzu989jYe3nPw7U/VzzsCkmtVR3l078wTPnBo2Ym6rYw8IgGV1QKzdfhhTJ3zEtta8rqXdh2uba0/Sv7/ez3298qHztdBkL6GKXiabmWB8dXfeyHzKH1mhjVsa0CyyR9LZB4ZusbM/2FlHhGbPY/gY6HbMqiEWR4zj297L0PZuOKHkZzyKCVxbvX5OV1lSFpQ+Z+d2NZIMcgVweyiq4fJ5/v6axPleUcEbUenKtriOE6+I2ftsbdlbazyqAnbWnbvUTKPmlqrdZ1EzVfbtkbUlaW2tfUFZgMymUfpeqiRzCO5NcRoFuDVO1M8I2hZA+YEXpltrcl7SBYk9kUleVS1+VU1nMw6+IA8WimKjT6zjDxaHWPqMCozgzBS2rQG5GxrkuTR8dDDdttQ7oNeJdp28lsXv7vrR1xJMMu29sKNERxTw+OXxU7j8iDB01WVR1EU42zcoG1ty0IUz8Ovz8Y+ug7/PtjpWhkhlmWJ3UfKIyKLvp9ta/nMI5Zih6UAyENGeUR73jxfbHNFVR5VuD6OgA0oCxVXQB5VXeR84/YEX35liB983yVlBw51Mo9mXmJPOBQkjzRNw3bHLLWtHQ98aBq75ZGG7PqVLLDiOF4Iv764a+POqcvMEBA9SCGKp7p5BGR9YAvaohwFyqOJG2bPIFEd0u4D0c1t22Hbi/IQySGkheoDifLINLRMzVYFosqjqRdWUqvbJaHFifJIzrYGANcrhmYneUD8z26ZOjqOjq/dTMijRw7EM48IHm6IPCoeAufhBkmjFe877vesjc08mtvWmsg8KlfiN7UH6rXNJPOoZjMp+fzFUgwgyXFaxz6FldlXhuYyj3TpA6gXro8RxxAOywaS+Zq29kvUa5ux3m+kbW3oYX8DXDgOI/tLBud3V78mLAdmp5lHAicxqmClYaxlkPW/i4CQR7KZrEcDfyMeljrIqiULg51I5hGruveFGyM89WhPOvMAmNvWziqSR4NpgDBiB1jXAZH9k4XVyShgNq0R5JVHJPh4UzzQKlDWtjasSE5sImxzvvFVpTwim0/RzCNguZ1J9FSxWGEaRen3qLBQswQ244QYq9e2Vu+E7Hc/exu2qeE/f8/Fyp+hiF7bhBvE1DmKhaMK6o/ttolBidqjP/Kx2zUrHaawpN2jWQg/jDMi6NKOg4kbMbNujrO8A/a1tq0kK6vuiads9iFLVSCCMIox9SKlgdlAsskvO3wpfU0v5L4e27aWnAzXIVG7LTHL5szj297LYJUcQFQJzAZQOfcoTxLysN1JxoKOowufuuezkRq1rVHuKzJ/8Nb0e9v2QrbjJqHJwOyyOW0m8OxVRaY8moW1sn5Ym2Z3Tcojx9LRsnUMJmL30bhJ25rkfP389TQsWzJ6g6b+5IXUrxJN2NbyauV14oFtbU3opIHZpJVkHpi9wswjhm0tCOVOoUSQhYdVsK2d57BsAGg55TJLkVNOy9Rhm9rSIiUIY7x0c4y3XulW+kw7neQ3Pa1oWxO1kVUF2VSRDdPp2Bciqna6xMKabAAAIABJREFU88yjdSj6mgbZ6JPFl+tH8IL4/rGtWfOQaGWZR+liSSQXiiw8ii06onkGxc808ULEMSqRe7aADWgkYcmjwajRCjKehfiDLx3hu751H7sKx4Is76aCde1empMnqjwCknujPPPIq7xYYy2wiuHXF3eTz3qHkXt0PCREFvs+JPdpXetaFpgtuBZgqQpEMMkqpJNnpeMY0DR+YLaIbU2UPJr5URbISkPLNqjk0dHAqxyWTSCqPHL9ahaNssYo2QPDXtvEhZ6JGxUb16aueL4NUXE9ut+SyEUxcCl9ppq0rdFa98j9xmuT2+9ZmLiRsDJulcja/JRmHjECsxsMO+62DPSHSQxCHdKEBGaXZh75EZw1BGYDyTMiHJhN7s0GbGuyyqPnr43whott6fURjcCfbWLmkVLlkV/LEq0KD8ijNYEMxuSHX0c2S2IPKb+p/SDONqmqQF5OPvPIW3stYV1k1ZK5wS6MYnhBLHTNy05OX70zgetHlfKOgOThb9t6ZdvaySj595oKzM7Io5SkOhn53LBsIFFUJaqoOKc82ozJRAXMQmA2sdrUIQ82CfmQaJ7yiJU9kkdGsAgGZgNYyijzBG0ddoE8ypRBFa6PSACxilPE+QmZ/ELgD//8HsZuiB96/+XK718Gspgss5LxcJRmBx0IBmYDoNrW+sOkEa0KsgVWyUap2JpCNrp3z+gZMvmAbZH3LavDlkGmPBJcC9QNzCb5MSQLR9c1dB169tVMlDxqGdRNfhGuwIFOMu7QbGt+7fVK05lHZdfJDyKpwGwgyT2qSh5NPHHlEclnfFSwjYngsTT36JEGbWs0UnKWuQn4gdkANlJ91EzmEb0EoqoNUwTdlpFlytXKPKIQ81EUww/XY1sDkvlLxrZmm5ryz2qZupTKJo5jPH9tKJV3RNCmlBBNvWilDh4W5m1r9fMHgUR8MJ6FG6E8mh8UPWhbWymyXI10g5LVlm6I8sgPo+w0WhU0TYOuyZFHcRwnlcsbwLTWAbmuefIoqxkWqEEtq+594UYall2haY2AtmESQdPKI7KoIgGkp4Lh3DsdC3GcbDoJKbspk4kKFBf+ZMFQJ2Njk5AP3U1a5NjKo4ARSEwwnIYwdDH7Itm4Tspsa4LKo/zCmDxftZRHDAVJlnlUgzw0K1bKxnGMT372Dp56pItnaoxDZaijPDpKiRkZ5RFt8X1cQ/nKVB4Vgrgv7iTWGpbyqD8QU0HNcznqLVqzzCNh5RH/fmVhVFAeAcl9PeS0rbU4z2Wx3ZYFV6ABtZhZmUdfwXqFKI94mVVVM2LKrlOVqIIrBy3cuFct82gqaVsD5BVEb3q4g72elVn0VYNFHomW4OwV1jmbhHnmkbp9CVN5VLE9UAS91nx8r0MeZcR8gfwiVt112NaAJK5BhjxSnXcEpMojibH/Vt/F6TiQyjsicCxWCdFmHKSqtq3VaX5VjQeB2WsCOY0gvmiyEFml8sgy6TXCQQOZR0DCxIYSD9LYDeH60UY8LHXQyhqc5oPdTOKaly1SXrg+wlbbWPD2y2KrLT7hFHEybpY86joGHFPD8chDHMc4HftCobVEnXQ2CdZiB20aFkV5dD9lHgHI1GOsRY6odHY8C9BtmUKWh3nm0XJgtsgJbNG2NqyRSTQnCgVsazVyHKoucv7qm0O8/PoEH/6OS8J2ElF0s7DkCra1Mw+2qQnZFAnKxsI4joXVPmVg29bS5rT0tQ93LGgacJdlWxuJqVrmG5x6CztyYsqrUycQuV9ZKFPR9Rj5P5kygjOHSmUe+Xx7aju1rUUF0joIY5yMVSiPTARhzCXhRDITy2CVXKdKyqPDFu4N/EqWq4nHr7EnyMgjybXOf/PdV/C//vTblY9NBG3boH737ECYqzxKsx1HmxeaTdR1am1r9DFiWjHDSwT5dUQt2xrFmksUGCLW9iYgqzxSnXcEyAdmk7yjKsqjlr2sOicNhxuTeVSxJIqG4w1qHm8xVNUy2IwrdY7QLpAJJChOdJGmArZJ96c2Rh4ZGiKJBhgi7d8Ej2cdkOudH+yyiVlgsixXHo3x9KO9Wguj7U5i8aqCk/TaNHWqp2ka9rZs9Ic+Jm6S6yNikSO1pWfjILeAu3+GKDMLzE6VR+nmertzfxBkZPFIJkoWKUZORHnk0XAqHlhNyKPlzKNYaHPlmNrChDqukUlklWSTFLHOtrXf+ZM76LYMfPc7Dyq/Nw2E+KHl3bCQ5M7YUmPjdtvEaBYuLPQmboSZFzWSeXQy8qHnWtxMQ8fBloU7pwzb2lCMyCK5HCqUR7apCf+ONsOSIoIs8yi3sSmb+wiyTBaBwGxRgkNEeUTIquJzeTr2EcfAngLlEUAPCieYVratEfVHcp3CKEYYoZLyCABu9OWta1OXX2NPQOZ02YOyjmPgob1mwrKT19cxoWYeJf87L/MoUx4NN0951GRgdtkY4TaoGsnPj3VUutnYWnj2yViwLuWRFHnk1gsNp0FWefT8tRHato7HL3Wk36tl6XC94jWIEcX8Z25VUK08yvbDG0AesbK/ZHD/7MxWhGKjz7TBoDga2LY1sY2SLAxdgwxR2U+DT8+98ijd5Oal7kR5xDs1BdKmiNzid+aHePn1cS3LGpDa1ioqj07HPrbbRqWmN1Hsb1k4HvpZqLdoYDZAlEf3b2B2kC6+Rvep8oiQRyxSJJPOcvJMRjO2/S0PQjQWXzMJzOZvrmjKIxkVTPZaApvx8ZTkxKyWPDoe+vijv+rj+7/tUFhBIINeDeXR0cCTsqwBc3VDnqw6Hi2qg2TBUgAl4dfWwoHRxV0ny+UoYuKGmHqR0GdRdSqYWJnEx3eLYUkRQVmFdK9FzzwizxnPTtpxDIzdiGsDI68pYlsDsGRdO0rXKwcKMo8AvmVzVjEwu6g8IipW2QyUqwdJplCVxrWJGwqPG+SASlZ51DTajoEgLG+EnAla5i/0LOga8K/+n1v4xX/zDfz7z9/BX782VlrvXRUzL4JlaEoPtVljRJOqkUXlUfW1km2UK4/mY9GaArOllEdBc7Y1GeXRtSHeeqVXqcm0VZJ5RA4IVungYaEp29omKI9UBWbfH7uWFSLL1SCZR14173od2Azbmh9EmeROJQwNUra1foXK5U0EGczyHt15kwX/unccYyGY8uu3JggjVA7LJthi5EnwcDwSyyCqg70tC68du1m+0o5g5hEAnI0TxZJjql38rBvFzID7LfOIfL9+authkS6iE9hwGggrc7I8uqJtTbCGtziuZrbCCid9Ipvx0SxA1zFqVYNnhKTE2PypP72LIIzx4fepDcomIKfDw0rKIx+PX25L/TtbKXk0nITZGFI3Y4CQf2W5AP0SFdGlXRuv3C7PkCm2s7GgKvMosTKJ31d2TbtcGXm01Tbxzbvlv4nrR7BNjXvvdxwDYRZoy/5bEfKIHAYVCWZVSmlR5ZHrhXAq5NEUSWnZVj0CQubIhmYHYaIkFiW8v/fdhzjctnFptzkVURUQhdzYDbFbIN4mgpZ509Dwj3/ocXz6K8f49PPH+NSf3k3/PR1PX+nhmas9/MjfeWgtB6huoN5GVtb0BySWI5H24arI27rrECe6rsEytKXPT/55nbY1N4gx80NuRtV4FjbyLJkStrWZH+Jrtyb4L/7OQ5Xeq1WSebRpMRVVG8ZpIGviTQjMfkAerQmZ8igXmL1qtpTVthaEcWaPUQnD0KROVDZJplcHc/JoWXlUxbb2YhaW3a31uWTqPYs4HflKq7nLsLdl4flrI5ykjXAXBNvWgMS2NvPETzfPC4jSi0zS91vbWlF5xJJXi2cehXhkX2yxRE5ai6oCz4+EVBiOlSygwiiGoWu1Aq1p4Zx5qAi/lK2UDaMYv/u523j3k9t4wyU5kkYU3bSmfVwl82jg4b1P7Uj9O9vp9cmf3h7XnH94gdnFReDFHRufe+kUcRwvWcWOJYiJjMSpTR7J2dfJqXzltjV3WUXXYzSPiRA9wFwpNJmFsHvsvxfZMBdjBwiUK48Y934UxXAF21qLKJLSGXkkqSLutgzsb1nSodlkbBUlj3a7Fp5rwBpbF3kHwW5hKSZjmf/Qt1/Ch779EuI4xs3+DM9fG+H5ayN89foQ/+qPX0OnZeC/+sCjyj8/D0n4cDPkUXGMcIMIcdzcxn9BeVRzvrQtHW4xMDvNPFqXbY2se0+GAR7a45BHbnOB2YHgwcHXb04QRnGlsGygPPNoKhhSvyo0oTza7piNuIJkQSOBZSH0Tf7yL/8SH/rQh/COd7wDH/nIR/DNb35z6W9OT0/xsY99DO95z3vwvve9D7/0S78E308WTXEc49lnn8U73/nO7D+/8Au/UOuDrwtkQpnb1lYf8pWEm7ECs5uxrcmQR0cDD6ahZZ7384rytjVxiWUx8POr10c43Layhp6q2OqYcP2o0gBQtvlRjf0tC6djPwuXFVE6dVsGDF3D2SRIQjk35BRCFQwd0LR5mO1gGqLj6I3aB1cJsvgibVQs5VFGylJqswkS5ZHYGKJpWtqmNH/NOI7hhTEci7+RLm7ch9MALbva9SGbPHZgdlibODQlK2U/+9Ipbp94+KH3N6M6ApIT3o5jSGceTd2kzvagom0tnwHXrykTZwdmlymPHEy9qNSuRAJ193rigdn1bWtyIcpWzba1cRl51DYxmgWlljNR8qjYbsuCkPKoJMMQqH+/EJCxauzS731yT1VZNxYX/mR8kVUeAUlo9nVJ5dHE3axNXlW0Cw6CPCYVGpQ1TcOVgzb+s3cd4r/7wTfif/uH34K9noXbJ/QctCYxq5ipxQKtbU2mQKYKegrJI6fEtUHGPFnrpyoQm/a9AT94vdG2NUGi5Cs1wrIBojyi3EMbcmCsaRoMXV1gdr9G86tqkHGh8bY113Xx0Y9+FD/2Yz+GL37xi/hbf+tv4ad/+qeX/u4Xf/EX0e128ZnPfAZ/8Ad/gC984Qv45Cc/CQC4fv06Wq0WvvzlL2f/+bmf+7laH3xdKIayTiWaJ1QhyeYov6n9MGqsba3YUMICeViaastYFciDVtq2Jrj4nXpRNgi9cGOEp2ta1oDchqmC+uh0vALlUc9GFAPfvJOcbIq0rWlaQjaejf1UeXS+F6hFaJoG29Cyk7vhJLhv8o6Auex7nnlUX3mUZB6Jj69FsjYIY8Sx2MKwmDczmobYqrhQE7EfjWZhraY1ICFqdE38hOzTX+lju2Pib7/tQq335aHXkrfVHqVEs2zmEXmGhgXlkaaJjTtl4CmPimT4xZ3kM5c1rsnkHTjKbGtyyiPyfasqj8YzQrTO37PbMhBG5blmM8F2JkIekcM6FsTII3IYtHhv9gc+ttpGbatPV8C2Ng8LrxLET0jp1LYWEtua/Oe+st+Stq2R61Anp20TML+vlq8TaQ6ra5m/dMHGHUYDY5NowrZGK4FwGyaPyDNlGVptgse2GLY1gQOmJnCQzh33KJl5eWxC29rz10Z46IIjfchDUJp5lI7HokH8q4Cpa0qVR5tCHqmyxnOv1Oc//3n0ej186EMfgmVZ+Mmf/Em89tpreOmllxb+7p/9s3+Gn//5n4fjOBiNRvA8Dzs7ifz8xRdfxFve8pZaH3RTkClR0kl0tgaFhJVayMpYUT+MK4WY8aDrmpT/sz/0NuZhqQOnhKWdZx6J2daAZJEynAa4fm9WOywbmOfkyJJHYRTjdBxgT6D9rA6IReMbtyewDC3LCuNhp5vY8SZueN8pj4DEW+7lbGv3E3lkZZlHfOWRCHkURTEmrhzB0rb1hY2mzKli8TONZgF6Fa8PTeKfx2gmnufEgilxajhxI+xvWY2r3bZS1YkM7p0l982BZO4MIdLP8sqjkY/drll5LpzXOi/+rhM3TFrcSpRHAEob1/opkSXSOJnZHSmHQ6LwJOvbMztUxQXleBYuEQo9Rni06OaWzBtjgcY1KeXRUuaRV3kzlEeWpcMij2pstovKo6wpqsJ9fuWwjeOhL/WcTrIw6fM9N9Py8QB1boLLu84alUeh8vYzQ0/UGEUr9tSrToaKgMz/KhQ3ZXmx5J/XpTy6mI47RxzlkRdE8MO4EeWRaWjpQRt/3vnq9WFl1RGQzHFBGC+opUVzxlYJ09AVtq15GxGWDeSyv5omj1599VU8/vjj2T8bhoErV67glVdeWfg7y7Jg2zY++tGP4gMf+AAeeughfOADHwCQkEf9fh8f/OAH8f73vx//5J/8E4xGI+6H+7Vf+zU89dRTC//58Ic/LPsdlYJM+GQSTTa5q848WmzcyCNoiDwypW1rvpLF2Lqh6xqcQsDbTGKyzAczkryjtylQHmWn7VO5DdrZOEAcVz+RFwWxxb1ye4oLPXEF2nbHxNk4WEuL4SqQ95YPp0G28b0fkNnWhj6M9LmhQUQ6O3ZDxDHQlVAetR1jQSVIyBuRhWFxYzacije9Lb8W3wY0mobKyCPRRY7nRytZJHcZTVs0ZLkzCpRH/YFXy5pLs4/Rwq8v7qbKo5LT4+Ohj52OKUTYqToVDMJYLjDbWLz3ZTF2l0/Es9a9EnLCFQzYZSlE8gjCCGHEryanta31B8tWxCoQaVsj41MVW1GRlCbPfZWcyytpaPZNCfVRlm11zudmUgk+KVG0ybTJsXDpgoM7p67Qhlw1RG2hsrBNfWnfQaznTbetqSKPimN6dsC0psyjna4J29SobZ0EZaUEqmAJZvzcO/Nw+8TD22ocgJdZh2cb1rYGJDETypRHI3+jmscda/k5kAX3Sk0mE7Tbi8Ga7XYbs1n5hPPxj38cn/nMZzAYDPDxj38cAGDbNp599ln81m/9Fn7v934P/X5fKPPop37qp/C1r31t4T/ECrcuGLqGlq1ni5mE4V8xecQIY20280j87zdJplcXRY+ulPIodxL5wo0xACixre1kOR9yG7STcWqhWEFgNpBspnYFwrIJdjqJ8mh6nyqP8t7yoSLyYFNALDf9oYettsEkDLPNeYmlhYCEzsq0nSWZR/PXzE4VBSTpReVRogyrdn2M1E7GyjxSlV8gc0LmBdFKKom32iYzNLgMJPPhcEdukeVYOhxLXyDS6y7WzDR8vUjikDyvItFwsJ3Udpcpj45H4sTEPGi93sLOC6KMEBKBrmtSCrYiyu5l8uyUKo9EA7MZCpE85lYwjvKItK0tZR6pUUpbpg7H1DBmqHlk1g9Lr28sktJejbyWK4dp49o9cfJoHiZ9vuetLLu0JPNo6kVKyLHLuzYmblS5FbcOmmo/s0ydrjxqOPNIhV2rrGyIqDzX1bamaRoOtm2ubW1OHqk/cLQKZS40PJ/lHVULywZyB4e5ddqmta0B6bpKQebR1A0xcZfVyuuEbdEb20XBfVrKiKLpdIpOp1P6947j4OLFi/iJn/gJfPrTnwYAfPSjH8U//af/FHt7e9jb28PHPvYx/NEf/VGtD75O5DcoUy9auf+bVQOdBGU2kXkE4cyjIIxxMvaxfx8oj4BkoZHfkM4kTg47rfni94UbI1w5aClRm2x1lhuGRHCSbn4uNDyQ5TduImHZBLvdJGg7yRLbnFMIVch7yweT+0x5lKuR5pFimR2UsUkmVe8yodLFzCMZ25pdsAzVIXc0TStdaOcxngVKFoKmIW4pdoNoJSesvZZ8YHZ/4MGx9EqE6nbbWGifLAu1lkXLWm6FoeUXmYaO/S2rNPNIRgVFcjfqB2bLKY+AZGNVVfHEVB6VbJ6FA7OzjEn25yKfW9S2VgzVPxqqU0p326aQbc2pYPPJSL6MPKrWtgYkmUcAcKMvozxK3reJ3JVVgmlbU6Q8unwhsbLeLiGUm0ZzyqPlzCAZJX4VtGwdhq5IeVSyaa5DwKrCoQx51EjmUZqlxlEIPH9tBNPQ8NQj1duiWyUlRJvWtgYk66pQgfKIHDhtkpjCKVnbyIJ7pR5//PGFdrUwDHH9+nW88Y1vXPi7H//xH8dnP/vZ7J89z8P29jYA4Dd/8zcXMpI8z4Ntn19ioW3PrRHTNWQeOZTgOiCRMzdhW5NpWzsZ+YjjzXpY6qBlGUuZR4YOod85v0h54foIb1WgOgLKrRoiyMijhm1rHUfPFi8yFrmdbmJbu18zj6zcwv9+yzzKK1p4WUFkE8cMlE43nXKZR8aCxUXGtkbG1Zmv5vo4JQvt+eeK4AZx7bY1gAQ7ii0EPD9ayQkrq6adhntnPg62q5UsbHXM7IQ/jmP0FZBHTslGg6Y8ApLco7KAXBkVFFGs1Q/Mlss8AsotKaKYlBCtxG46KrFWy7at8WxrouRRMbMSSAiRmRcpW690HbZlk7S1Vj0cyasnyHNf5cCw7Rg43LbklEdevc++KWBnHqlZ018mOWiSuUef/9ppbbvMzIsaUQLZpl5CHqWHqQ3dE5qmoesYtcslgGSOp9vW1lfuc7hjc9vWSINjU5lHAL8w4flrQzz1SLcWMTmPLFiOAtkkRaMhcSjHQn+weeRRy9KbD8x+73vfi9PTU3zyk5+E53n4xCc+gYcffhhvfvObF/7u6aefxic+8QkMh0O8/vrr+I3f+A186EMfApDkJv3yL/8yBoMBjo+P8au/+qv4gR/4gVoffJ0gp9t+kLRordq2VmzcyMMP5VpWRKFLkEf9tDVnkzyeddCylzOPWhbblkNABvprd2e4e+YpCcsG5uTRQDLzKCOPGrataZqWbbB2JcK5dzom/DAJ9d6kiUQViPIoCCNMvej+Uh7lFhQ89UiZdLkIsumUIViKtjWZPAOi+vCCCHEc18o8AtJrTdmMk83lqjOPXH9FyiNGTTsNR4PqocXbHTMj0iduBNevTwbYVoltLZ3bypREF3ftctuaBJGlaVopaSWLKusAm6OUY2HsLpNHzMBsYfJILDBbVnmU37iQlj9VyqNe2xALzK74HFqGvqQ8qmpFvXLYlmpcm2cene+5OWvRpWUeKVjTkxy02yfijWtfuznGx37jRfzxV/q13rsp21pCMC+OEaKW0TrY37aV2H5Ygdnrsq0BKXl05jHny2Yzj5LvzlpHBGGMF2+Oa4VlA+WlBRMvhK5VH8eagMyhHAv90ebth+vM9QTcp6XVauHXf/3X8du//dt473vfiz/5kz/Bv/gX/wKapuH7vu/78KlPfQoA8LGPfQxvfOMb8dxzz+FHf/RH8cEPfhAf+chHAAA/+7M/i8PDQzz33HP4nu/5HjzxxBP4mZ/5mVoffJ1IyIRo3jyx4om0GOyaRxjGjTTpyNQWHg2qteZsKsj1Jpj5ERzBxQWRmH7x5TMAwFuvVJd75mHoWlqHLUcenY4CaFqi8GkaZPMmqzwCkla4TZKwqgKxHAwmaZ6PAuXJpiC/WeUpj0wjkaLzquwBud+oGJidZR4JbKTzmUczLzkYqEPu2JYOlzJBE0uXitNUqcDsIF7JAq3HqGmn4d7Aw2FV8qhtZra143SxtldzseaYy6dzx0Mf25Tw64u7Du4WNgATN8S0pJ2NBbvkfWXhB7G08shiKOV4KG9bYwdmi5BHjqVD19Qpjwxdg21qCwSz6pNhnvKoTuYRkCri0nGF2Eyq5lxeOWjhxtFU+O/n+Tbne97SdQ1tW8/W8HlMveV7uQr2ehYsQ5OyrV27l1yLV25Par13U7a1sjFiFXk1H//7b8FHv/dq7dexreVNc0bArikwGwAu7tiYehGTdG6SPLIFbGuv3J5g5kV45mr1vCOgvCyFqP2qqI6bgsy6ioU+xeq+TjgKlEdCK9dnnnmmNKj693//97P/3mq18Au/8AulQdi9Xg+/8iu/UuNjbhY6dqI8ItLndbWtUTOP1mxbu9+UR23bwFkaNA2kIemCEw0hj/785TMYOmp5hYvY6pjSmUfHo6T5x9CbH6TJ6byMymmnM//b8366WQZyckfyfLbvI9uapmlwTA1uEGNLYIHDm8AIMSpDsCSq0EQ5pGnzha6Y8mhOHmXKoBrXx85ZFIuYW/JWrzxaiW2N2Gpn4grC/sDHwdPV5oyttonhdJy9DlC/FKDs/jwe+dTXvZRuAIbTMFMU0trZuO9bO/NIPhi9zJIiiklJ5lHHSYifMiJFdA7VNA3tQo5ZGUTJI2C5AEP1eqXXNnHjHp2QqVttnt/AExVI1ZzLKwctnIwCjKaB0Fg3noVwTK2RaIRVo+0YpaSkqqZXXddwiaJGpOFWmj/16h1xQq8MiW2tCZKBYVtrcB/0SJrPVRe2qS2NreSAqYl9kyiI6vHumUd9Dkduc5lHZi6vkoavXCNh2eqVR+sonuLBkBBMsHA89KFpzTdcy0AFebRZV+ucgAQorysh3s4Csxdv7DiO4YcNZR4ZGkTtn5vItNZBMTjV9cX95CQwezAN8fjljtIJfbstTx6djv3GLWsE5CT3gkzbWu5vz3uuQhmStrUos9jUISc2EUTt0BX4XsUssSKqWLvato4wirNQcjJGihAmGSnvRxlxJUKC0WAxFCQjhaeIMqpQb0WB2eR3E809Gs9CjN0QBxXnjO2OmV2zLKCypvI1UXgUW7noFjRiU7l7Nt8sZuSRxGdRsbCrkn1YVcruBRG8IF66lzVNo2ZfySgjOrZeWqlefD1AkDyyjQUbeqY8UqSU5iqPam628xt4Ms5VVh6ljWvXBa1rU09NmPQmoOsYpXZIVYHZAHDpgoM7Era1myl5dO1udfIoCBPVbFOB2UXb2nwftPnrtTJLsBtEcExtraoX0jB6xMg9Giu0uhdBiLOAMf4/f22ECz0TD+85td4rC8zOK49cNYStSpiGuGCChf7Qx27X3CjCvSz4XhabdbXOCUhg9roS4vObnDzCCIhjSMvVRWDo4snz/YGH7bbRyOS1DrTsYtuauJ/cNvVs0FAVlk2wnQuJFcXxaJXkUTIh7kopj3Lk0X2oPCJ12GSjez8pj4C5wkeF8mg8C+BYutR4Ru4ZMjaTCVLkZD7fAJcpg+oEZls6tfp2vhCsf/0tU7xS1guilbTK9Bg17WUguTNkES2L7Y6JiRshCKPRbphiAAAgAElEQVR5I1rNcc6mtK3RlUdpQG4uNJvkHez1xL+XU2KtkEWiPJINzKYr5ViYpNe4zOrTTbOv8ojjGG4gvrntFKyoZZAjjxava3/owTS0hbmnDriZRzUzYpLShdS2JjG+leHqQRsAhEOzJ64aS9cmoG3rS5lHURQnDcqK1h6Xdx0p29qtfvK31+/NKqsemswgKlMeuX4EQ9caictQjbJSgFUdqLBwcWeuPKJhPAth6GJjnCwIecSyrX3t1hhvvdKrTbLN8y7nY+TUCzfOCqvKtnY89DbOhfNAebQmJHLXaG3+74w8KtzYQZR8niYYTl2DhG3Nx76i8MlNQMs24BYyj2SuOZGZvk1RWDbBVtuQVx6NAuyuIO8IAPa2SeaR+PvlpZ33ywlnHrapIwjjeeZR5/76jkThI0K68G1rofQpG1GrkU1BlnkkYVvz/CizFdbJpLJMjRp8nGUeKWtbE7WtNXMiXUQ3q2kXG5+OzuqFFpPrNJiE6A89JTLxskaS4xFdeXSJKI9y5NFxBRWuzbhvROEFVQOz5d+XqDfKVHRlyiNiGxG1bYnY1mYS5FFy+Df/nkcDH/tb1Vr+ykAULRFlvTTzks121UO+/HWqWzP+yEFCeIrmHk296P4hjxxjKfOI3EeqVM+XLyRByKLj863+LCFxwxivn4gHmedB7ECiuZwyIIUfeUw9NQHjq4BtLucQev5qDlRYONhJ5od7HPKo6zSTC0SIP9phFwDcPnHx8F59++C8tGDxQH7TxhVTVdsa48BpXXBKDsZkcT6e+A1DJw3aW1dt6bxtbfHiE8lhE95dmQepP6hfk7xJSBqc8m1r4plHwNy61oTySLZtjZXZoRrf9S37+Oj3XsVjh23hf2d7QXl0/w1PJK8is0Xdb8qjdGwSUR61bDZ5NJrJt52RE2Oy2ZSxreUzj6rkLS29HmMzrjL8Mjkh4y8EgjBGGK0mMHtLVnmUWocqB2an48ZwGuB46ONC16p9iFIkN10/CTSlzW372zZ0DQsZJ/8/e28eI9l23/d9z12rqvee7p55M9PzFm7iYoqW6PcoRZQlkqIQ0ZSfQy20LJqSIjBQCJEGHIS2AwcRIUJEADOA9Ae1xIERLbHpMLYULQ6ExLIpURQEyVGAxBQgvXlv5r03S6/TXd1Vd88f955zb1XdunXXqnOrfx9A0ONMT29V995zvuf7/f6Oor6DrQITJ40aTgVd1y9ZmF18sTxTPBpzHhVxCQGhGJO38yjPcznsPErE1s7tWscor3Y0BAFGBKokwwKx9zSMhKMxjq2Ve693dBXXN43cE9cGNU0ik4FeSufRoOYhONc3TfhBdhyJY7s+Hj+x8e43bgAAXi7ZeySuhQYEEUObnEAZ9iu14z1h6kxMU+VYbrBw51FHV7HeVbPFI8sThzJ1kzXBGwiv+/7QEw6pKvBDg+SB/KWEAmSRQ7ksjs+d2iLRdVHHRFe5Xq2W0DXUcNqataDYWuKEPAlfSDTSeVSgMPvw3MaOZDa9KvDOI/7AKbr4WzFVmBrDczfyiyh5WO+G46nzjsMOHS9uoRhZFbZWdXz8/begFCjn1lQm3CZLG1tzAyH6rdcUlZAFfm9ayeGoMbXRTdw4/YFbwnmUHlvLc7KoqwyMhf8mLsyu1nk07SSvTJ/TNPLaq52KLoUixJO28opH3HlUsvMoEhmfXLqZvURFGBePTvrZcThNZdhZN0aiB8fn4YCCIpEOU6tWmB0EAWxvjs4jLoSmnByvdrSJ90BR8agbleBnUTi2NlKY7dQaK+Ai2oWVfrBjFTx8GkdXY2daXJhd/vPt73SuZGytl/K+4o7VulzPN7ZCZ9fDk9nRtQfHFoIA+Na3bgIoX5otXHgN7EvSYl/DaFJWGzA0BUEwOpLentMQiVnsbhg4yOw8chuZtAYkOo+mHEI9jr4v3utXBVEPMOY8kk2ALFLVMo0gCKR1HlFsbQFwpxFfTM69MFtNb8avOrY1C1VhU23YSfjFIpvSWoWuoSIIYrv90C42BvXamo63P71WeyZ8rafB8YLc47BPo4lxWxK1/qfBS7NlO4moA10NY2v9Qdjns2i7dN3wnyePY2jWA6w/9AqLN/w9w0/9LSGYzN5IM8bEmHQetaniDEs7peXw17+OewLv0ZoF/13MI7bGnUfnOZ2RB2c2OoZSenG8NuY8qmOxNl6YLcqvM4SpvQ1jpPMoK+aW9XWrLOzKdh/ySZBFucxyHnUny6OLikdhYXaDnUdnTmnRMo3VGWXxg4obpZHCbN55VOHAcH+3m7sw+7LGMulFk/a+4jG2Xk1rDx5lzdN7xMuyv+HWKq6t6aVLs4u48IqS5k4c2F5r+k354VZSnA97ABdfZry7YeSKrTWBPiO2xqPYZTsJk2gqg66yic4j2QTIOmJrl5YPy/Hl6zzKGOaSl3Zc8ZLBH56LEo+4xdAeU4ndihbmLBSFIUcyApeWj6Ht12oDXzTjoyWLdh79tx99I376h99U+/fFT9vzRtfEybnkrw0vLl2WE84kYZ+Bj7NLr1KfjqzwRVgeR82s2Nr5wC0cGxPOo2hTwDfDeW3pZiT4nA9cGBqrtChOO6XlXFjF+5ymkXekrD1H8cjUFagKyywOTnL4xMbuulG6z0HE1i5dHJUQbNIwxhZYRznun3ubBh6fjk5bKypkVbWUlxUU9JQx1nmInUeT1+pqR8PFoFpsrdeptzCbDzwBwjXTyUVTzqP073no5B+4kYausZHYmqqwQu7ece7sdHB26eLJpTPzYy9rGmMvA92UInb+3Kht2tpmVKKfY+Laq5GAd2vHxDPXu7hbUjwSnUc5O8WKYGjKRKlykenDi4Y7jGwnEVtzFl+YDYSR7dmxtWbWjBqPrU1ZR/Dvqw7xCJgU8AcS3lfqKMw+igaByLbn4tHnPIaQacj1arUELhbxk8h5v+nNWbG1BlR0VclXmM2n5pQtPpWRcfHIKjBtDQhvuE38PpI9H3ng4tG8pq2VZSNyRrVlQVIETQ0nKZ0P3KXrOwKKO4+ySvvCzqNii6W482i0MDvvRjp0fYTOsCqT1oDsDpl+iTLw6V9HyXVv5gvmebjd4jHtOQuzK7pVk7G143OnlsOLcQfQcfRsy7p/7m2aePTEFlHioxKTVoyKsTW+Dij6Opv6dLEzi6z+Lu48Skar481tztiaka/ziLF813kytnbSdxAEqNUpvTLDeTSsOFlo3HlUdtIaZ38nLMHNE10bWM25H+YNj60l35t1j53vmSrWe9pID9o0Xju20DUUbK/qeGavi1ceD3JXEiRp1nmkjAgvAN/4t+M9IYYNjTmPZImtHZ07UwWLi2Fz4pGIrU25//Mo9l5N+5iwdy4ZW5PP0aip+dZVWeRxKy8CoSFUWGcs/oppIdzSehS9MeZt2ZxWbsYLs5sYmakq+Sx8R2dyXixV4AVvQztcaAwdTwphg2/Q+eSuWRzP6OyQBT6dbRmdR7oWlhufDVyx4V0m+L0wzyJnVjznYuAWLogU09aiE2UrsqTndbTw76k/rC7uZBVm94fVxSlO3mJHEeGb0/NqravifMoGepyDyHlU5WsBYVm15fi1dR7Zbnw6l2dy2vVNA0PbFz/3cYn+pdB5VH7Ryt9zRQ+R9EjYLgoXdtLu16sdFX6AkW6ZMoXZA9vPPCW1IjdPnuu8E3VWAvHJcJ3OI+6WzHQeVYyt8bWf7QYwKjrN93cj8ShHdG2wTLE1U4XnByPv+bqdRwBwY9PAw9PZzqPXDoe4da0Dxhie2evifOCJPUYRhk74MzSxRjWjgR8jX69ih9c8MfTwWhmNrS2+MBsIxSM/iA95x2lWPMqOrR08sbDWVWu7LpL34CAI5HQe1VCYfVRi2uo84NdrlYlrcr1aLYFfQMd9Bx1DqWQZLgPvPBo/nWwytqbl7DwSi7Elch7FPSpeNLGomVOdoqz3+HjqvM6j8OO21uQWLXhsTbaHSR3oUWH2+aUrelqWCd6zkiduliUe2a4Pyw0KO4/4CSg/QXbcYmN4jajnpg5nmJ4pHtXnPMprr+YuLHNO/Q6rXW1i0tY0Ds/sSu5MTVXQMxW8/DjcAG/XIAaI07kopnHcd7Biqpkj5vk0mkenFgaWh4FdXMgy9IrOIx7VLHiIxCcRFeVi6IGx9Pt1XJwevw+KF2aHJbdZC13Lyd9DyKen8n5GoCnnUfp7f1jQuTxOskvN8YpP1Rvn5nYHjM12HrleAMsNluZQR6zrEiLfZfTc6NXopLmxZeYqzH7teIib22HM7Zm9cLjKyyWia3yKVROF2XwIxLhbqy1rtTi2Nipmy9B5xJ8d06JrFw26/vQZsbVHp3Ytk9Y4oes8OuBzfAQBKrkxm0CtIbYWO4/k2g+nOfCK0o4rXjL4jfL43Kn1IZMXRWHR1Kbx2Fr18sRpqGq+aWtL6TwyYpWWL2BluNHxzW2R2JqqMKw1NO6zLp5/8ybe987tRhx0i4Yvvs4G7tJ2HnUNJdfEx06GeMQjH4U7j6Jrlbshio7hFc6jGmJl3LmSRp2niKF4NHsRUGTyXB2sdNSp0Z0kF8NQZKniPALCGO/Ljy4B1PP84RsN/h7N4yLiHSePn9jC6Vn0ezEzitbzINYBRZ1HGR1dWfSjCVxph2iiPDrRfSViNTk3nPywLiu6VkQ86ugK/CDcKIkpf7U6j7I7j6yCnYnj6IneGccNKsfWTF3BjU1zpvNoKMbYL8dzmYtgl8niXuE8qu9nvL5pzoytBUGA144s3I4ihM9cLy8eiTVqA/f5eNM52hnUhFDVBEZKXEeW2Bo/PHmcIh650WCcxjqPVJ5mSb//H5zZtfUdAaPR4bqjonUROo+yn4eHZza+8v+dTP37o3MbCouHAMkCf1ZWWWfI9Wq1hHHn0SIwUvo0ROdRE4XZLKd4dG5DU5lwjywDfKE3tD1xw5PBecR/x3kLs8PyVm3uTrmifNvbtvD5j79l0d9GI3Bh9+TcEZ1Vy8RTW6bo0JgF7zxK63U4j5wKRaet6ZoCXWViE2AXPFXkfTO1OI+ik6s0x2Z/UN/Y3dzT1px5x9byOY/EBr6i+2Otq+H143CTVldsDUiIR/3Z5dfXhfPILn2QYupK5HAtd+pZdny7oSnwfBQ+bb3MmALEo5kXg0nxqEhsDcgWj4aFnEfcneg1Eivg68OLqdPWqsV8kms/x/Vrma67v9PB/cNsoeIiI57YRuLhCsniXi6Q1ek8MnA+8DLvhUfnDizHx+1r4bNzb8MInZSPSjiPnCadR5Mig4yTsqZhiAOB+B5nu5IUZmc4j+KJls2sGfnvZdq9//Gpjb0Ns7av10n0XTZxzdWBps4eEvXlrz7E3/+nX8cffv009e+Pzh1srepQJdtzkXi0IHpCTFicXdNIiUQ4DXceeTkWlUdRWWnZqTkykizMbjJPXpSeqUJh+WNrx31H+rLsZUcXkdNAegdYGX78g/v4H3/yHbk+1tTDOEqa8ME3XmV6gXgsBSgeW+NuqP7QKyxcjWOMxZ6ShNPWauo8ymmvtqLnw7xOWVc7k2Pa0zjg4lHFk831rgaut9TR6zYhHuVwHl1bN6Aw4PGphaN+NGlltXhhNjA5ECMvZR3IRsrGMA9ZU4D4NZTcOBd1RnDLf9YkokLOo8Tz/OjMxnpXrbW3UlUYVkwV/WmdR3a1ziNdU4Qo7XjVnUdA2Ht0/3CYWdDMRRbZNnllWYncRUmHGP8Z6zwcvMEnrmX0HolJa9fCj2WM4emoNLso4vpqQBAxU5xHVWOY88RMK8x2grm5cbPYjkQG/jxMEk+0bLYwOy3G5Ho+jvtOrbG1ZOeRcB5JJkrncXQ/uQifa5//X19KPdwo03k4D8TatEK34uKvmBaSfPAv6kGaJh55fjm7eh7UHCosEJ4iL1NkDUh2HvlSOY8UhWG1q+E8d+cRiUeLJnltLmPnkaay3JEM/nFppx88ilkmOtaNCnYBXphdoPNIC8ek9wduZXGHf93xwQaeH+DS8uvrPMo5zMAWzqM5dR7ljK0d8jHANcTWAEBh9UyULCMeaSrDzrqBR6d2roLtzK9bso+Ab+yK9ngI0SrPgz7BxdCd7jyK3uPnFZxHYhpYRqyqtHh07jTSz7jSUXExrfPIqbbZ5htgxwtC10QNG9/9nQ7OB57YDKXB4129hqIz80Y40EY6jzx0a+4x5VHWRxm9R68ecfEodu0+s9fF3TLOI7u5ePK488j1QgFTto3/NPizb6TzSBLnkaIw7KzrqSL5hVXOiZ0XEVtLOYQ6PAsnUu5t1ige6YqIwcoah9XU2euq84EHU1fw4MTCL/yb+xN/H05blW/PxZ8hVJg9Z5K23UU5UHSNTWxKhF29kcJswMsxNjR0HslVDlYVMW1tpPNIjktno6flj6315VTBrxLJKMkydh4VgW/2kiNbOdyxUuZ3FI5gjmJrblBoE23qCs6HXqmy7nH41x0Xx/gpYl3T1rgTYRbz7jxa7Wq4sLyZ8avDKN5VpTAbiDvgNlfqsYmbidM51/Px5NLN5Wja2zTw+ImNo3MHjAFbq8Ve56qWcn5aWtSBrGvlTiMvLX9qlCmtMHtYUDza2zSgq0y4M9IoEltLTk89OmvmmbjSUVM7j4IgiBzrVTqP4g286wW11BTs74YdO/cyfsdcZOlJsvapyrTOo7qFkOtb4X0ta+La60cWFBbGvjnP7HXx+Iktnhd54ddCE/UEIvYVPUuEE18C8SUP498/EApJ8xoiMYvddSNdPGrYecQYm+pg5h1MtXceRc+BS+FolOs9pOaYttYfunj2ehcf+dbr+BdfeYD/9975yN+Hey759sMdiq0thuSNclH579TYWoOdR0Via1W7K2QjOW2Nb3TNjIk782StqxaYtkbOo0WTFHbXaxIP2krWJjl2HpWNrYWfs2ifgakrOI5s41U7j6Y5j/hGulbn0dgEnDSE42OOsTUgu6sGCGNrXUOp3AHFp0/WJQYYidO5eFLl7M/NC3KPzx1s9LTCIo4QrebuPJoeXcjiYji9vyurMDuv2KMqDLeudYQ7Iw2rgJsn+Tw/PLdrLcvmrHTU1E0/37RW6aNJboDrch7dyeHuupQ0XlIWXoo92nlUfxXFzroBVUFmafarR0Nc3zRHDpd4afYrB8XcR5bj1RrDTKKPPdOGDU52a4L43hp+/zz6KUNsDQgFmszYWoOuPz1lCBMQx4Vrja3pcWE2dx7JMIQoSZ46gP4gjGx/8nvuYGfdwOe+9JL4HQZBgKMzR0rnkXDg0bS1+aIoTDhPFleYPTnJJ+46qP97UpTZhdmuF+Ckv4TOo5HOI7mcR2tdbSQSMI2BFQpfJB4tlqR4tIyxtSJknX7E7pwSsTVDFZ1H4aligdiarohuoKrijj5lM8430nWJR2r0npqVNhLOozkWZgOzp0EentmVXUcAsN4L7211LdaS708xcjeP82gjiq2VdHoaJR1AHH6IVHQdME3snEVW51HHUKAqGBFSLMeHrrJCzojbO53aY2sDEVur/5k4re+rjth77DwKwmlrNRwW3tw2oTDgfoZQcTnkziO5Nnll6aUUsV9a9Zc/qwrD3oaJhxmxtdeOhrh5bbSQ+Jm9aOJawehakx1E5tgzbSgmZbXjPTHeJ8cjujLE1oBIPMpyHjUtHi3AeSTztDU/QOrAE05/GA5WWe1q+K//s2fxFw8u8T//29ejv/PgeIGUaQ8qzF4g/AG6uM4jNlGo6TbsPJp1IZ1duggCYLOgTV92NDUcPW45fqySS/Kw2ehpuZxHfGx0HUWyRHmSJ4vkPOLOjslNVn/ogrFyG5WuqYrTZNsNCk2dSm5Aq8bK0so5AYgeoDqnrQGA62cvBLgYMbfYWorrJI26xgDzmGFdi7XkAuuYl1/nch4ZsBwfLz8alLrfGhUXdvzks2j3oTHl/TqLy6E31YHNGMNqR0M/ISAWEXo4t3c6eDWj0LnI5+RrtuO+g6HtN+Q80lKdR0I8qsF5ZLt+VJhd/XrWNQVPbZuZAp2YilTjGPtFwp8tSfFoYE+PYFbh+paRWZj92pElJq1x9nc6UBWGlwuWZpe5vvIy4TxqW2xtzHHBn4nzcuPOYnfDQH/ojfRwAXGpe5PikaYpqeLRwRMLplbvBO2OocJyfPh+IO4rsonSmjiUyxKPPLHO+fZ3bOMD33gN/9PvvoqXHw1KT1udByQeLRD+AF3otDUvXTxqpDA7OiX0s6ZxSHoTqIOOHk5wsmpY/NXJWk+bebIPhJE1oN6RxERxkqfETZUftoXs2Fr4UC7T29AzlETnkV+s8yhZaF7x9RlfaHP4QrDOaWsA4M5wjIjIzJwKs/lY4Vml2Udn9USduRhbl0CejI8VGem+FxXkvnIwKOXCNVN6OYoQdx8WdR4Vt7IHQZDpPALC+9x4bK3o83P/Wkc4hdIosmHmEZvXIqGkOefR5HM5dh6Vv7ckHWJF729Z7M9wd/F76qKqGurG1BUwFq9bAT52vv613Y3N6c6jS8vDcd8ZKcsGwkPL29fMwuLRsMT1lRfR4+fK7RqZhri3cufRnN24s+BDIx6PRdfizqPmDhx1lcFNufc/Pg0Pd+qcoN1JPFvFPVEyUVqsqzKia/2BN3LI+Pf/1jPoGgo+9y//Eofn5aatzoO07q+iyPVqtQh+erWonGZWYbam1P+yasrsaISIdC3J4iJJ11BGY2vSdB6F4tGsvhMeu6DY2mJJCrvkPJouHoUnOuV+P+G0tVg8KnIKW6fzaNoDmk9hWqlJPOT35ln5fNv1oSrFi5TLwsW3foa4HQQBDmqLrYWvV12xaX5KnYyt5VkIXo+m0gRBObHeTHzdMpR1HuklnEeW48Pzs4tcVzujBxxlnUcAppZmF3MehR/HO5SaOBme1nkknBqVnEexyFdXYTYA7O90cf9gurtr0LKI0iwUhaFrKKKwF2imMBsAbmyZePzETnUxvCYmrZkTf/fM9S5eKeE8asoJFAuXo7E1WQ5TZzF+j+P32LoE2KpwB+54dO1i6IGxZkW6qbG1M1sciNRFsgqEi9Ky3Vf4OmnaxDXPDw9OkvUD19YM/L3vfQZ/dvcc//R3Xw3/TMIOYCrMXiD8Il5kYfb4Cy86jxq4EXI9KsvCJ1ukq046UY+KbA/L9a4Gz0fqZJckFFuTA/5ACkfay/EeWhRiAZEmHg2ml/DOYqQw2/ELOTCSka66pq2Nl1DW3XnEF8SzxsraTj3lunnhzrqs2NrFMLyn7tYoHjURWzvpOzB1Bb0cp6PJYtFy4tFoL0dRnJIO5Dhmmb/ziD93ssa3j/f/lBGP9vOIRznf2/zgR4hHNbz3xlntqBjY/oSgO6zBqZHcANdVmA0Ad3Y7uIhcMGlcWh5MjTVSi7AokpM5gbAUvIkN+vVNA64XCBE6CX8fjsfWAODZ6z3cOxiKCYp5GNrNxdaMsXuErGXH01CV8P3Lv38uIskSW+PPjsMx8ahvhdHgJibocfQpsbXHp3Ytz+ckyQnWAzs81GpiSngV+LJx2qHcxZR13If+2i6ef9MG/uQvzgDk60mcNxRbWyBcNFpkbG18UyJiaw11HgGzxKN2WViL0BHOo/CG0dTDuSh8w3R+mS0e8djasvVRtQ0uKKx3tVptwG1EPMDsdOdRWfEm7DzyEAQBbDcoFNMacR5VjJWJ7pqJaWs1x9YKOI/mKh51Zhdm88kydTiP3nRzBZ/47tt479u3Kn8uYLzzKCy/znPN8ulKQDlXi6FVW9iJKEZBh5k+RezMQiygMw7Rxl04ZcSjG1smVIXhfsrENS+amFTUefRao86j8L0/PmmwDudy7DwKf+661ntcoHvpYbrTpSlXziLpGupIv8zAmt7fVYXrkXPjYcrEtdePwj8bj60BwNN7XXh+gNeOppdtjxPG1pp5ncbvEXUUwM8bM3HwLnoAJfn++XPw8YTzyM10d9aBljJtLQgCHDyxsbdZs3iUHEJke+gYqnTrYX7QO23Py2PJ41N5GWP4h9//HExdgaowsUeTCU1lYKz8ARVA4lFpFj1tTdcY7LHNgiMKs+v/noR4lLFBGUjmyqkTPlpyaIcdA2qDJwBFWIvGU88qzT7pO1gxVWnidlcV7oKp6mpZBjqJUejjnA/c0uJKz1DhB+VGWfMNqKpUF8GnOo8GLjSV1WaVz5PNBwDLyb/BroM8hdmHUank7kb1DbymMvz4B/cnFnNl4RuiYRRby3uCqCpMROfKCBNCtCrZRyAGZ5QszB4XO7PIMwVotauN9P8MS4hHmspwc9tMdR7xBXDez6lr4aL+pB9eh3UWwXL4Rm+896gO57KeiA45rl9LYTYAvPOZNax0VPyrP3yU+vcXSyge9UwVl4nDi4HtNxKfubEV3g/Seo9ePRpivaumbjKfjSau3S0wca3JwuzxKHYbo4yGzuLYGhfaJXEerXRUrJiqOFThXAyze+XqQE8ZTX964cLxghE3bR3Ez1Yvuubk+P0nmXUox7sc0xzkt6518A++7zl8+PndRt1iZWGMwdQn00tFkO8Vawmx82gxN01TV1KmrYX/u4lKCzEOOqNbJx5j354HSV66hoqhE3YeyXTKwntzzmaUZh/3HWyR62jh8A3dmoSnEfOGF9dO7Twq7TwKP+/ACsWjMtPWVjvVnWEiXjL28/EJHXWdtOUVj+os182DrikwdQUXKcXBnMNokdxEdKgqmhqOmeeF2UX64njvUZmyzLioO7+Ik8QuuSHiHU9FnEd5SpTXuupIaXqRiFmS21MKna2C4hEQizfXcrrJisLvXeO9RzzmY1bpPFLj94ftBrVd06tdDd/3rdfxf/4/R3jlYFKsGNg+ehJu8qrQNRXhPPL8AJbTzEb2RuQ8epwyce21oyFupriOAODOXvjnRUqzh443h86jsWlrLXpfGFq8dxKxtTkNkcjD7oaR2nnUvHg0GVvj30cd01CTJJ1HYUm9fHvGWesqfjAwrRvzQ+/exT/6/jc0883VgCltC/sAACAASURBVKEphSerJmnPFS8Z/M2+qJMYXZ2MrTluaGFuYjGk5YmtWcvceaSIziOZxDERW5shHp30XSrLlgBDOI9IPEo6O8bpV3Ae8Xtzf+jC84ttKvnH1uEMm9YhczH0aus7AuJFjjOjF8N2/bnb86+t6fiLB5dT/54vTpsYl14HvFuQx9bywgtGy3QeVY2tCQdywRPPWJQoHlvLdB51VFxYHvxo7VDWGXH7WgevHk4WOpcRj7oJ8agJYufRtNhaBfEoIfK5nl+r0/yj3/4UDJXhl/+v1yf+bhljaz1DxWUk6IlpwQ38jKtdDSsdNTW29tqRldp3BISHGHsbRiHxqEnnkT42kXHQwtiaoSnCccRFJFmcR8AU8cjyGo+t6RqbWEM8ir6P+p1Hic4jS1Ln0Qzx6DzDedQGOrqSuvbOi3yvWEvgb/ZFvelNnU3Yy10/aKQsGwAUxmNr0z+GvxFlVJGrkuw8kqXvCEg4j3LE1uoqkiXKw69Piq1N3yQHQYCLip1HAPDkwo2+Tv57Iv+eqk5aAyYX2pz+0K3l83Pydh5Zcy7MBoAPP7+Hr/35E/zlw3QB6fDMxoqpNn6qWhZTD8vXTwveP5/aCnuPyrg9Kxdmuz40lRW2yxvi6xYvzM4WjzQEQexSKjsNan+ng/7QE9c1Z+gW38Dyj62jayuN6c6j6rE1fg0P7HDSXZ1uwmtrBr73hT389p8c4NGY0HE5hw3svOmZKi6j12gQTV1rSiC7sWlMxNZcL8Drx1bqpDXO03tdvPxougA/TnjAOR/nEe8rlGlNPAtTV8SBjoitSfT9724Yi4mtacrEBO+r7Dzi1SSun/4c5gcDbT0IptjaguguuDBbTynMdtygsTHMIraW4Twa2O2zsOalo6sYCueRPD8fjz/NEo+Ozx2atCYB/DRjvaUPnDpRlLD3Z/wBdmn58IPyhdI8WnEqxKMysbU6nUeTsbU6F4LihGzGtLWycaEqfORbr6NjKPjV35t0MgBh55GMo2w5pq7g8akFPyg2qfIH3/sU/vsfeUup5zEXA6o4j8qUKAuxs8BkJy6OZLk1Vsa6ryzHLxXbuh0VOt8bi66Vi62F31NzzqPw3jXReVTDARt/nbgYV2SaZB7+znfcRBAE+NV/92Dkzwe2v3TOo64ZT+YUzqOG1nc3tkw8GoutPX5iwfOD1LJszjN7XbzyeNJxl0YQBKXF2TyIexMvzI4OU2XsdZmGobE4thYJ5bJMWwOA3XUdB08c4dQE5td5NL6nfHxqQWEQHX51we//Q0e+PRWHr6umGSb6Udqjrc4jQ2Olo/EAiUel6UUP/0VFmAxNgR+MnjaHFuZmbuJ8fZJn2lqbLKx56Zqhxa/JB3MZuoYCTWWZsTXPD3B6Uayzg2gGUZhNnUcA4iL6JOKhXNJ5xO/JTy5LiEdafbFCfeyUllN/bC38OrM7j4K5n7Buruj48F/bw7/500M8fjIZ2Tg4q38McJ2YuoIHkVugiPPo+qaJ9759u9TXZIzB1FjpwuyyJcrGlI6uLHI5j7qjQkrZ3kA+DWy8NLtS59HcnUceFFZtIi6PF/Lffd1u85vbHXz3N+3iX3/tEU778Wj5S8uTMl5ShZ6pChGOO4+aWtNf3zQnnEevHk6ftMZ5Zq+LC8ubcKOk4XgB/KA5J5CqMCgs7kWTtew4C0NPxNYkK8wGQpeP5wc4uYivvQvLExMcm0JTWWrn0bU1vfZ9pags4M4jCUXp+FAu23lUdp26aMh5tCB60WJpUTZeIyUSUefY1nHUHJ1HA9uHqRW3y7eBThRfkK3ziDGG9a6Gs8H0POHZpQs/AIlHEsDFPpk3zPMk7QEWP5RLOo+iwuwn0eKriGAinEc1LAjGT2k5/aFb60JQ1sJszg/99afg+wH++b9/OPF3h2d2Y9GhOjB1RWz4mnKppGFUWNiVdh7x7qyC09ZUhWWe3K9x59Eg4Twqsbl9atuEwuoRj7qNO4+miEdOeMpepZeSC4P8c9ftPAKAv/udNzG0ffyL34/dR5cNjbFfJF1DxcD2EASB6D7iz4+6ubFl4vTCFaXpAPD6cfhentZ5BADPXA8nrr2cY+JaHIts5nVijEHX4tiXrK6RLMxEYXYcW5Nnz8IjYodPwvWL7we4tDysNt15pCoTa4jHT2zR31cnncSwFFkFyFl1AOcDFx1DaSzt0zQkHi2I93/jNv7R9z8npqrMGyMlEuEuWDyyHE8qYaVOOoYK1wvQH7pSOY+AsD8nK7Z2HJ0eUmxt8XRNFf/s038Ff+P53UV/K1KQ9gA7r2gH5qdYIrZW4J7IF5FlI3NJGGOpVvD+oJnC7DydR4voprh1rYP3f+M1/KuvPRqJ8QRBgMMnNnY35L0vmZqCy8iRUGZyWumvq5efhBJO4Cr+OjPGIit7sdjaipkthnAhtj/0RKymzPvQ0BRc3zInJq6Vch7pvDC7mde0Y4ST+sYLswe2L8piy8InQzXlPAKA52708B1/ZRtf+v2HQqQaWHJ2k1RhxVTh+aGIwKeuNeWC4HuFZHTt1cMhNJVhL2Mf8SwXj3KUZpe5FoqSvEfI2leThZEQv7iIJFdsLXwvPI6cZgPbRxBkuzvrIK0w+/ETu/a+IyAuzOYH8jK+h2ZOWxt44mCkjSSnDpZBniumZWz0dLz4nuuNTDbLQ1okwvGCUnb1POR1HrXtFCIvnUSPimzlgGs9DecZ4tFJJB5tUWG2FLz51krlDcSy0DHUFGcOLyIs9zvqjcfWFjRtDeCTXeJ7ZhAEuLCaEo9yTFtb0CL5h7/jJi6GHv71Hz4Wf9YferDcoLHoUB0k7/XzHDjAp7yVwXXLx9f1guN7L3PEKbgQ2x+44lo3S97/9q918OpRHc4jXpjdzGvKGMOKqabG1sr0PSVRFQbGgIth8VhuEX7kfbdwPvDwv/3hQ7heAMsNGnPlLIpu9PMMLF90H/UajK0BGImuvXZs4aktU6yv07i2pmOlo+ZzHjnNTzxO9q0u6kCiCkZCmOcikmyF2UBcVn1hhdf5fDqPJmNrdU9aA0IBkrHwfnhpyxmHVWc4j+oefDJvTJq2djVJja25fuZDqAp5xCNZFeQ64D/X6YUrnUC20dNwltF5dHIeiUfkPCIkw9SVERs/kCwiLPdg5gsREVsrsLnqmSoYAzZrulYMfdR5dGmFp4h1OJs4uWNrC5i2xnnr/ire/cZ1/POvPBC/DzHJpQXikaayuU5IrGIpt72gdDzRTJzK5yHs4sj+vSQLs6s6I27vdGpxHnEBpynnEQCsdLWJwuw6OhMZYzBUloitNbPme9udVTz/pg382r97gCeX4b102WJrXCi6tDzhPGpqfXdja9J59NrRUBTBT4Mxhmf3uoWcR02uUZP3CFkjR1kkh3Rw50VT11AZrq0ZUBhwEHUE8uu86YoUTVVGOo8uLQ/9odeI84gxho6u4LINzqMpe966HeTzpkOxtavJ1NhaQ50WQjyaXq2Dge1JJ6zUBV/weX4gYWxNyxVbu0biESEZ2Z1HFQuzxbS1/PfEzRUdP/eJt+FD31xPrFBXR63BfDNZZ8nirGw+x3IDEXlZBB/7zpt4/MTG//EfDgGEfUdAc+PS64ALEtur+lxdxslx0kUpW5gNRNGFgrG1WYJCMrZWVTza3+ng7NIVYgZQrfOoSTdZuvOons22rinxtLUGBeGPv/8Wjs4d/MvfD/vKlk084hG1QeSAAJr7Gfc2DDAGPDwNRYEgCPDq4RC3tmd3yjydUzzinUdNuoGS94ih3b6qimQk2HLDntZFJUjS0FSG7bVw4hqQEI/mEFtLupf54c71BsQjIBQ4+QGfjPvGeNracjqPjArReIDEo9YST0ZJTlsLGilPBBLiUca40DaW5+UlueCT7Wdc62qZ09aO+w4UBqzThC9CMtJOP4R4VNKdo6nhtKrTEoXZAPD8mzdq670YFwH6DZwi8gODaSdknEXG1gDgPW/ZxBuf6uFXfu/1sO/oLHx9ZO484r+veUbW+NctXZjtlu8+DGOWRWNr2e9lUwuHBPQHbi3OIwB47TCO/pT5nN/0hnW8753bjW6yV7sp4pFTz8ANQ1Ni51GDJfjvfuM63nFnFf/Lvw+Ls2V0CFSBC0WXQ19MW+s2FM3TVAW76wYeRbG1s4GL/tDDrRnOIyAszT48c4Qrdxo8htLkAWfyHtFO51F8oGO7vlSRNc7OuiGm681NPBqLrXGHXBPOIyDsPeK9lDKK0rOcR+ct7zyiwuwrioitJZRix/MbLMwO/39mbE2yMfZ1khSMZOur2ehp6A+9qa/NSd/B5qq+lFPwiHaTlrs+H7gwNFZpY9c1VdF5tMgyzPESyotB/eNdNSX8+bKcR0EQwF5wPwVjDH/nO27ipYcDfPXrp2JxvNNgdKgqSefRvL9u2TJLxysvEhraZO9FFmFhdvZ7mbEw8pd0HpVdJ3DxKBldG5aI6rzvndfw+Y+/pdT3kJcVUxWl1pyh7dWyRjJ0FhdmNzjthzGGj7//VtwHtGSdR/znubQ9DGwPCmv2eXF908DDaFPOBdBb2znEo718pdnzKMzWE/eIYRs7jxI9hIuMcmext2EkOo/mJR6FsbUgMgjw53NWmXsVOoYi+lhlO5AHZq+rLoYeVlrsPCLx6IoSF2YnxaOgdFHmLOLYWlZhdvsmL+QleVpYtfCybtZ6GoIAE/0KnONzhyatEVIyLbZWtROoa6gittbkyfwsxh0kcfnlfDuPPD+AHyy+GPSD77qGvQ0Dv/JvX8fhmY2VjtrYdKM6EOLR3J1HrJADKInjll8HFC3Mvhi6uU6NVzth/0/Vze2ta2HEJ1maLT6nZJvA1Y424RSpa6iIrs7HeQQA733bFp67EYoXMl+rZRCxNcvDZdS90mSE6caWKQqzX4vew7d3ZsfWnuET12aUZvPYWpObcSNxj2hnbC2cFhcEYQn8op+JaexuGHj8ZMx5ZDYrVGjaaK/t4yhe2ZjzKCEeybhvnLWuOh+4re48Mgo+68eR76ohcsEXStZYbK0x8UgdvbGkscyxteRpoWzuKl7ken6ZXkh10neoLJuQklTxaOBWPmXrmnH54yJPFg1NGXFy9LnzqJFpa9Pvzfw5segNtq4p+Nvf/hT+5C/P8NX/eCp1WTawWOdR6diaF5R+zxctzL60/FzX6kpHRX9QvfOoo6vY2zBGnEeWI19vCRD+zBPOo5qcGobGROdR2XL0vCgKw4994DYAucvtyyAKs20fA8trLLLGub5p4tGpFfYdReLRzRzOo1vbHWgqk8J5lHym1dXhNU8MTUEQhM9L2/EX/kxMY3fDwNllKLbPM7YGxBO8D57YWO9pjSUtOrqCUyEeyfcaZE1bsxwfjhdgreXOI8+fPaV3GvK9YkQu+GmTM1GY3XTn0fSPCcWj9iqxWSSVcdkEso2oy2jaxLVQPGrvTY5YXjpGuvOo6mSr5LjlRdrqxx0kVcvA0+DikZOxCOAnTDJY9P/me/aw0lFx/3DY2Kj0uugsyHmULHUtiu36pd0ousZyf13fD3JNWwNCsbSOwmwgLM1+dVw8kuxAB4gFsyRWTWskPSHyNVmYzfngX93B//6PvwlPR/GpZSHuPAqnrTXtgLixZcB2A5z0Xbx6NMT2mp7LuaepDPs7nZniUdx51NzPwZ9pQRC0sqqCO40s1496AOUSnYFYpD08s4UA3XQvEF8b8EO3x09s7DXkOgLCNAePD8q4b9QyDBPnYiKwfN93Xvh1O14bkSTrQLJdVz0h4DdAO/HiOm5znUdajtja0PGkVJDrQObOI65+n0+ZuHbSdym2RkiJqSnCas8J7cAVY2uJhdaiY2vOiHjEFx01xtZyTFvj/TnGAqetcVY7Gj7yLdcByD1pDYifs20qzK4yOKOIlZ1Pp8pT/r4aja0XsZoKG87bLRGPVjsqHC8Y+X3WtUZKisDzGjN+fXN2vKptjHYe+Y1v0Pnv8OGphdePLNy+Ntt1xHn2+uyJa1aJ/q+i8GdaKCDJGTnKgjuNbCeA5chZmM2jYo+f2LgYuugYSmOpEg7//Px+9fiJ3VhkDRh9BsjYpZbl6L5o4BBw3qQN3UoysDx8+pf+49R/L98rRuRCFGYnFphNdh4pMwqzgyAI8/wS3ojroCPztDXuPEoRj4aOhwvLw7bEpbTE1cXUw3hZ8r5yMfQqP5STG7RFF2aPT1tTWL027VlTQQAI95MsFv0ffO9TMDQmOmxkJY6tzff+WaUwu4rzyNCV3IXZlwWKXFdriq0BoXh03HeEECureMR/L9x9FARB6M6uKbYW/7d8P3tbMHUFjPHOI6/xtd2NSDx6dGrh1aNhofvf03tdvHY0HDmMGGcYCbpNF2bbbjCXfqUmEJvmyHkkyzMxCRdtDp7YuYYS1AE/cOBiyUHjzqP49y6jAJm1roqdR+1NdPB7xLRDqruPBhPO2STyXTVELgw1vgFyGu08UrI7j2w3aOUpRF5GnUdyXTZZsbWT8/DPKLZGyAi/rpIb5VqcR0bSebS469Ucc3L0B2HMp85+lnydR9x5JMe9a3fDwK/+V9+Ij33nrUV/K5nEhdnzvX9WcR45bvn4uqHmj63FRa75nEcXQ09Y5KvG1oB4WpWs4hG/h/GSfMcLS+vriGgkBaOmHQnLDGMMPUMVnUeNO4+2ws34/YMhHj+xcauI82ivC88H7iVcd+MMHR8Ka9aNZmgKHM9vr3gUuW/D2JqchdlctDk4i8SjOcSjRBWK58P1fBz3nbk5j2R8D8WO7snnIa8fqFqvsEhmiUcvPbrM/PfyvWJELkRsbbzzqKGxrbPEo0F04iHjTaAOTC08oQLk+xlFbC1FJebTDCi2RsiImZK7rqXzKLJBqwoT965FoI8VZl9Y1SfJjcNY+DNmxtYk6jziPL3bbXyzVpW/+twa3vfObezvzLfrpaOH46T52OQiOF75+LpRoGupSJHralQezUe+V3UeAcD9qHBY1nHh/PfCf09ijVTD96qT86g2eqYSdh7Nofx5o6ehYyj4Dy+dIQhQSDy6E/VN3TuYHl3jQmqT5fG6psB2Es4jyWocZhHH1vwwtiZh59FqR4WpK6HzKGevXFW0RGH24ZmDIECjziMzIaLLaDpQMw7llsF5xEXUac/7u48G0DJeFnrqtJS4MDvReeSVt6vPYpZ4ZLX0FCIvjDGx6JPtYWnqCkyN4ezSmfi740g8omlrhIyMn3640YnmasUpFrzzyFxwx4+hK6OF2TVMkktDU7PFIz5tjTaaxXj2eg+f//hb5i5OxIdDxcUj2w1Kb4iSRcyzuCxQ5MqLRflhRqXOo2jDzXuP5HUeRbG1SDyq06mxiM6jZaVrqhjYHgZ2884jxhhubJr4v++eAwBuF4it3YlE03sHGc6jOUw8NqNSfS6Gtq3nNHnwLmtsjTGGvQ0DB09s9BcQW3t8agNoVjxKPgNkfA9pGXveZeg8mlWYfffRADe2povb8r1iRC6SuV2O4wXiDV83s51H7TyFKAJXx2UUyNZ6Gs4upzuPSDwiZITfL7h4VNcoe74YWbRYYmhspKOijj6nNELxaPa0tUWLaUQ+zBRncV5cz4dWujCb5e5aKuY8CsXgo7NwU1JF7OmZKq6t6bh/GDowZBWPxp1H8SSsOpxHSup/E8XpmSouLQ+X1nzGzl/fNMR7oojzaLWrYXtVx/0M8chy/MbX4HpUmD2cQzl3E/A1geWEZfYyxtaAMNr9+MliYmuPo/v03mbznUeayqS8hykKg8KW13k0u/PoMrOTTb5XjMiFrk5azqp0HcwiFo/S/37otPMUogimwZ1H8v2M6z1N3NCSHFNsjZAYEVuLxOd4lH09nUeLF49Gi4/7w/pja0B4SpZr2pqEizRiEu4cKtp75PkBPB+lnUfj0wGzKCQeRYLp0bkDXWVQKh5yJSeuySoe8euc39Nid3b1jaCZeH3JeVSNrqFgEHUezSM+c2Mr3JCZuoJrBac47u90hGiaxjwinIbGYHuBKOdu24GxmSzMdgJpn4m76wYOz3hsrXmRQk/E1h6fhn1y8+g8knnPOM3RzQefyDglLi9pBhTO0Pbw+rGFm9skHi0djLHwJh5ZzIMgnFjUeGH2lA3KYMlja0B8kzMl/BnXulrqtLWTvoOOoYyMLicIWRg//YhPdKp2HnHxaMGxtWihzbtr+kO3EQu6prJc09ZkPWUlRjG17FPBaTjR6U7Z7sPx92sWF4Via+Hm5/DMrmVzu98C8Sh2HoX3tDpja/yQUFWqC3FXnZ6p4uzSheMFc1kncfHo1jWzcDfR/m4H97MKs+cwMU7XFARB3LHZadkGWnS9OD4sqZ1Heth5NGhmzTAOd6s6XoCDJ+F9er3iIV4WXESXse+IM21d1R+4WK158Mm8yXIevfJ4OLOTTc6rhshF8pSQq6NNnUKp0fU9LbY2rPFUTVZE55GE4tF6V0ufttZ3yHVESMt4YXZdUyz4NbrohSFfaPP7c3/QTGxN12YVZod/J2O/AzFJ2dga70As2304/n7NgotH+aatxc6jOoSe2zsdHJw5GFie9OKR6Dxy6ivM5qL4osXxZaBnqjg+d8R/N831yM1xu0BkjXNnt4vDM0e4/saxnOY7fPjn5+tNGZ34WYjYmuvDdvwRF59M7G6YsN0AZ4P5xtZcz8fjJzb2NoxGxRGZ91OcaYNI+kOvsjt+0WSJR3ejSWvkPFpSDC2cyAKEajHQ3NhW4TyaciI5XPJpa0CskMu4AZsaWzsn8YiQF36/4M6Yfk1Z8th5tNhrNbbIh26OcNpaA86jvLE16jxqBcaMPoJpCPGopPMo+X6dxcXQg6nl66tIFmbX4jyKNt6vHQ8xdHwpN7CGpsDQWNx51IDziCJr1ekaKk4unOi/59B5JJxHxcWj/Z3Rsvhxhk7zhdlcZOBOd5mdI2mITbPtw/Ekjq0lImNzEY+SsbVIPGoS/j6V+f2jqSzVMNEfNLOOmydZ7uaXHg2gKgzXN0k8Wkr0RBlrVbv6LFSWHVvjzgGZ86tV6RgKOkazY1DLstbTcJ5SmH3cd6gsm5CWuPMofO/2a5piIUvnUTwVM7TIu17QTOeRqsxwHlUfkU7MD+E8copNW+PrgfLOo/j9OotLy0Mv5wKav+f9oJ734O1oE33/cCit8wgIf25+T6tzqAi/r8lYNNs2embotgPms5Hlp/n7uyXEo+jf3JvSezSPa4G/97h41LYDY/798+ty0e7kaeytz1s8imNrj5/YjfYdAe1wHk07lDsfulhbcufRnd1OphlF3leNmEmyjJW/wbWGLJiqStPWOoYq5QknAKx3VVxY3sTEpRMSjwiJ6UztPKrqPOLT1hbdeRQ7q/gkuZWmpq1ldR5Fv18ZXZPEJMn3TRG4A7msqFDk614UGCGdFINrFY8O5BaPVjpq3Hnk1OfO5ve1siIhEZOMqs2jAPfWtQ7+yX/+Dfgb794t/G+5425a79HQbt6Fp4+JR207MObuW77WkPWZuLMRr9tX59F5lDg4OJyj82geUdGyTDuU688pStgk2eLRAM9e72b+ezmvGiIXvNwSAFy34c4jJVs84s6Btj1IirC3YTSuxpdlvRdutnmJIQD4foCTvovtghM9CGJejD/A+gUmOGUhIqYL3lTyzbjjBiK+0sRCUFNZplvEFo6U5b0/LxPjompe+OtslFwHJN+vswhHSOcTeXmEC6hHPFnrathc0fDSo9CBYUp6aBWKR/XH1oTzqCGn+VUiWZI9r8Ei733bVql+0K6pYm/DwL2DdPHIcvzGB7oYidiaqjBRtNwWuFh0LrnzaHfuzqPwdT04s+F4wRycR7wwW87fP5A1bc1tfeeRMaVX0XZ9vHo4nCketfunv+LoicLsuPOomQuRD/Twp6xlr8K0tZ/4T/cxdG4t+ttIhU9FOBu4wml0PnTh+QE5jwhp4ZvkZGH2iqkKsbosXVOOWIfornF9IbCvNLDomNl55IaTOKv+Xon5ICYCFXQeVXUgcydLHufRpeUVcmqsdjUcnzu1nfTf3ungLx+ExZ6LFomnsdJRE4XZ9XceLdpZuQz0EiKOzBtZzv5OB/cP0mNr8+j/ErG1gduK39c4/Nrh/YqyXkO6pmBrVcNJ352LeMRf19eOLADA3uZ8nEcyD1lSlWnT1rzKQ10WTSj8sokDqnsHA/gB8Oz1HoCzqf++fVc+ITA1RbzwcedRMzdCxtjUCwkITzw0tX2nEEXoGCo2V+QUYtYi5xG3EgPAyXn431urpBETcjLhPBq4tUwjizuPFhxbU2MrOI+tNVG0qOaIrclqzycmMTLKLLMQzqOSr7UpnEc5YmtWfucREL/v6xJ69nc6YiqMtOKRGTuPLLu+6Ci/ryxaHF8GugkBVObyXs7+bmdqbM2yvcZdeEnnURsPi/mmWfbYGgDsRO6jFbP5NTzvt3ntKHxvza8wW97ff+g8Gn0W+n5zg0/mjanHQ7c4dx+GwjTF1paYsDA7iq15zcbWAEBVsjqPPGn7gK4CvLztPCEeHffDCSLbq3JG7QgidMOMxtbqeCjzHP2iF4ZGoviYjzZvYtGhT7FXc2zXp0lrLSKrjyALp+I6gIsReaet5e08AuL3fV3rhNvXOuL7lFU8Wu1qcWzN8WobuEHT1upjZaTzSP4N4f5OB6cX7shBIRBuai03mFvn0fml29o1v6kp4jBH1tgaEAs48yzMfv04ch5tTJ+0VQdtia2NaUe4tDwEAVofWwNGDSicu48GUBhwZ5fEo6XF1BXY3lhsrcHNkqqkjy0EgIHlS30TWHY2enFsjSPEo7X23+SI5YQxFp5+JAqz65hGxhe1iz6Z56e0tpd0HjUxbY1NnYQJhCLEoifPEfnJGqObhVOx20q8X3M6j/JOWwPi932dziOOrOJR6DwKn8mDGsuMuRC86PvbMpDsOWqDk4Zv6u6PTVwTEzUb7zyKC7NljhxlYeix80jm5+LuPMWj6N7/RKMa5wAAIABJREFU4MSCqqDxrtTYeSTveyisAxh9Fp436CCfN8m1N+elR5e4da0z85kq71VDzERPTluLTuC0BjstssSj8FSt/RdTW+HOo9HYWigeUecRITOmrogy2YuhV0tsTVEY1rvqwh/wwsnh+OhHm8g6fr5xNFXJjK3ZJB61CnNKmeUsqjqP+Cl8rthaUedRt97Y2u0WiEer0RTUIAgwtP3aNkoGOY9qI9l51BbnERBOGkwiOrUa7zzivWhBK8S2NAxNEYXZpsSO3JvbHegqm4t4xPeOrhfg2prReD9i11Dwt96zh2/5hs1Gv04V1BRHN1/HrS2B88jQmNAQOHkmrQFUmN1qDJUJ27boPGqw40NVGPyp09b81j5IloH1XvhwSU5bO+k7YAzY6JF4RMjLuPPo6Rl22bz87CfehhtbzVqvZ2EmYkC8OLeJDcqsaWuWK+84c2KSeBLK7PhYkqqdR4aa7+u6XgDL8QttalZq7jwaEY8kFUZXTBWeH66Phk59ayQeMSHnUXV455GqsFaIcbeudcAYcG+s90h0as0ptgbI7RrJwtAUnF444r9l5fv/kxt4/k0bc/keFYUJg0DTfUdA6Dr/h9//hsa/ThW0lC7JZXYeuZ6PewdD/PV3bM/8t/JeNcRMDF0Ri8X5dB4xTNuf1HmqRhRHUxX0TGXEeXTcd7DR00QRHkHISEdXE4XZ9U2xeNud1cat17PgYr7j+ugPw+lUTZzo5Zm2tujycCI/0yahzEI4kEs7j6LY2oyvexn1dxVxHvGT2ro2txs9TdwrZO1e4b0Y/aGHoe3V9rPza5mu6epwMb9n1tNH1TSmruDGpol7YxPX6pzml0XyPSfrdTcLU1fEYY7MnUcrHRVvu7M6t6/H1yu7cxCP2kDauupCOMjb770ZF4/uHw7h+UEu55G8Vw0xE11TRGG26DxqujB7ygaFCrMXz1pXEzluIHQeUWSNkB1TVzB0fARBgP7QXYqHMkdMzXJ9XNTU55RG2glZEtvxpV4kE5OklVnOwo6ez6WdR9wplyFEAhAl0EWcR6Iwu6ZDJsaYcB/J6qrj4trF0KvVeRTH1uT8udsEF4/adPh5J2XiGr9XNH0tGCPOo3a+/wyNIYhucbK6FhcBNx/sbZJ4BPDC7OV1Hhm6AivhCLn7KN+kNYDEo1ZjaEw4j0RsrcHFhJpyIXHqXBgR5VjrahPOo0U7LwhiFvz0Y2j78PzleChz+ELbcYNotHkzP9usaWuW69MiuWUYenHnkSjMLj1tLZ/z6MIKnzPFxKN6nUcAsH9NbvGI9zz1hy6sRgqz5XfKyA6PrbVJCNnf6eD+wRBBEN/zeW8gn2LVFEnxqOly7qZIRu9kjq3NG75/3F0n8QiI0jZL3HnUGXMe3X00AGPAM3skHi01hjYZW2vWeZQhHlHn0cLZ6Gkj09ZO+g62yXlESA5/gHEb+VI5j3gMyA2nrTUljGkzxCMqzG4fZiKWnhfuRC4/bS1fUfdFif6u1Zo7j4C490jWtUfSeTSw6xsqwl9f6jyqjqkpUNjo1DXZ2d/toj/0cHoRr/fmFVtLCpZtcmslSR6kGBIXZs8bjZxHI6Stq8Q6dQkOOcdja3cfXuKpLTPXc4qePC0mdB4FCIIg7jxaWGG219oHybKw1tNwnnQenVNsjZCfcNqaJyKXy/BQ5sQFxH6jkbyZ4pEbUGytZRglYmtVB2cknXJZiM6jIoXZNU9bA4D3vGUTb9tfkfY5FzuPwthaXe4Wfl9pQ8Gz7DDG0DPVVkxa49zZDUXTZO+R5fDpYc3e55PCS1urKpLPQnLkxvDnxjwKs9tAqng0cGHqylII90kDCgC8lHPSGkDiUavhCz3XC8RiT1MajK0p03s1BuQ8WjhrXVXE1uyooFfWRTVBcMwx51FdhdkyoAsnRzhtrUjBcBFUVZkdW2vpQv+qMn4qmIfYeVRWPOJjuLO/Lr9WF1mYDQDvem4d/+zvvVPa9/aKGf7MF0MvdGfX9H3qVJhdKz1TbV1sDQDuH8S9R8J51PC1kEw3tMmtlSR53dChSgyPre1tLHZKrSyk7Xn7w+Yc5PMmucZwvQD3DgZ49nov17+lq6bFJMtYq5445iEztubQtLVFs97VcBaVuZ30wzGkFFsjZKdjhKV9/QHvUVme2JqmMqhKLOauNiSMhVNBpm/4bceHSRvNVmFqJWJrFbsPVYVBYXF30jQuSohHt691YGhM9BRdBZKdR0PHh1nTGomv/TQqzK6FvU0De5vt2TDf3DahKsC9RGm2Zc+nMJsxJsSXtjqPkr8jcu/FcGFwZ4P2DUBUmO1NFmYvo3j0+vEQthvguZzOo+VZpV9B4jHQwRw7jyb/3PV8uF4g7enfVWG9p8FyfFiOL8Qjch4RsrPMziOAT8X0cdHgidXMaWsuTVtrG2WcR7YbQFXCZ3UZGGPQNQV2A7G1G1smvvL5F1oxDr0ueslpaw0UZpPzqB7+hx//hlZNrtNUBTe3RyeuzavzCEB0j/BaW5jNxVdTY1fqfjQLQ2PY6GmNl663BU1VJp1HA3cpyrKBKLYW3TfEpLUbFFtbekS5pePHnUdNTltTkNp5xKc8tMn2u4ys9cIb2vnAJecR0RrCziM/0Xm0HA9mjqEpuLBCUbcpV5WuhsJ+cvpOEirMbh+GPlvEGcf1/MpuFDMxxXUa3HlUNLZy1TZqqsLQMxWcXrjw/KC2jb2pKfj4+27i29++Xcvnu+ps9PRWdR4BYe/RaOfRfJxHQNwT1Na0AX8W0oHKKLqqYJf6jgRa6rS15qbmzpuOrsCKepO5ePTMXr7Y2nKt0q8YQjzyfDgLnLY24CNCW/ogWRbWIzX87NLFcT/ciG+vkXhEyM2yO48MjQkxt0nnERDm1sejy0EQwHIDKgZtGYbGSjmPqrpRuFMuiwvLQ9dQSjucrhIrpoqjcxtAfTEfxhg++aGna/lcRDvZ3+ngT//yDEEQgDE2t84jIE49tDe2xp177fz+m+K9b99CseOK5SYtttYfuHhqqz0R1yy40Gy5Pu4+usT1TSO3MEbiUYvhqrntBmKx16R4pEwpzB5GUx7IebRY1pPOo3OKrRHtoKMr8APgtO9AVdjSxV8NTRHXY1MnVqPi0ejf8YMFOmVtF6UKs72gsvvY0MLTyCwureU5fW2alY6Go7Pw+m+rU4OQj/2dLga2j8MzB7sbBizHh6ayufRgGcJ51M5nCjmP0vm777u16G9BKtSULsnzBrsr543QEJzQeZR30hpAsbVWY0QbBtvx4frVug7yoM1yHtGNeKEI59HAw3HfhqmFlnmCkBkuFh2eOVjrqksXbTE0BcfCedTMeQ3fMKSJ+1yAoH6UdmFqZaat+ZWHZhgay1WY3dTkwGVjtaPikDuPWrrZJuRjfzeauHYYxk2Gtje3gxfhPGrp+5lvmsmNS2QRdkmO/tnFwF2aagV+vxjYXiQe5YusASQetRo+BtpxAzhu0PiJg6pMWviAuPOIYmuLZa0X/v55bG1rTV+6jTixfAjx6NxemikWSXSNxeJRg9PWgHhUexIhHpG43ypMvcS0NTeoPD1IzzHl7WLoobeE12oTrHRUHEbOIzpgI+riTiQe3TsIS7Mtp75C9llw505b1/xcNKIDFSILTQ0NE7xL0nZ9WG6wNM4jvvZ+5fEAluOT8+iqwHO7tudHRZnN3ghVlSFtoM/QDmNrbT2FWBZEbO0yLMymyBrRBvgC9PjcweqSTLFIYmqKKBhuvPPIn9z0cyGATlnbhVFGPPJ8cahU+utqbGZR94VFzqO8rHRUIeDSGomoi+ubJnSVCfFo6Phzcx4J8ailYijF1og88HUVT9z0B1Ev55I4j7h4+vVXLwAAz5Hz6GqgJ6athV0HzYpHCkNqbI2mrckBt1KeRdPWaNIa0Qbi2NryOo84zcXW4s6jcWwn6jwi8ahVlOo8qsF5lEe0uliiiTNNk/w9mTQCm6gJVWG4vdNJxNb8uYmT/JnW1g4vIzp4pwMVIgvu6ObrqvNhNBF4SZxHXPzl4tEz5Dy6GhhqXJjtzkE8UlPGFgLJzqPluKDaiqowrHbUMLZ2Ts4joh1w8eh84C2l8ygp2jQljulZ4pHLY2tk0W8ThqbA89Nf02nYrl9ZJDRUJTX+mOTC8lo32nxRJAVjch4RdbK/08H9w0XG1tr5fjbJeUTkQB1bV11EzqNlWaeaQjzqY2ddF+mVPNCV02L4ZsB2Q+eR1rCKzvOf49C0NXlY62nhtDVyHhEtIbngXVtCN0NyM9+UW2N8kZPEothaK+GvVxH3keMF1QuzcziPLofeUroEmyB5zdMaiaiTO7sdvHo4hO8Hc46tRYXZLRVfuGhEnUdEFsJ5FO17zweR82hJnn18bfrqkVWoLBvIKR792Z/9GV588UW8613vwkc/+lG8/PLLEx9zenqKT33qU3j++efxLd/yLfjc5z4HxwlLAn3fx+c+9zm88MILeM973oOf//mfL/RNEunwF952fbiuL97oTaFOmbbGY2smLYwWzkZPw+vHFhwvwNYaiUeE/CQXvCtLcqKTJJ7swir30Uwj7jxKi61RYXYb4ddFkd4jx/WhVxycEXYeTf+aQRCEnUdL0vvQNMmNBrmziTrZ3+nCdgM8OrVD59GcYmR87zEvsapuxPdPBypEBuN1AP2ou3JtSWJryeu3SFk2kEM8siwLn/zkJ/EjP/Ij+OM//mN827d9Gz796U9PfNxP//RPY2VlBV/5ylfw27/92/ijP/ojfPnLXwYA/PIv/zL+9E//FL/zO7+DL33pS/jSl76E3/3d3y30jRKTGMlpazWcOM5CVRj8lM3JQHQeLccF1WbWuhpeeRxm4Ml5RLSB5XcehfflJoUxPmnTTYkbidgaLZRbBXcWz9t5pKuKEBzT4DF5KszOR9J51NaYDyEn+9HEtfuHAwxtb25ijq4pMHUFSsMH1k1BhdlEHkRhthCPuPNoOQ5OGhWPvva1r2F1dRUvvvgidF3HT/zET+D111/H17/+9ZGP+5mf+Rn81E/9FEzTRL/fh23b2NjYAAD85m/+Jn7sx34M29vbuHPnDn74h38Yv/7rv17oGyUm4YtE2/WjzqNmb4SKwuClrCmHtgeFkQVUBta6Kk4vwhscdR4RbSD5AFuWLHkSvlBt0uo8XuyYxIoKs+mUtV3w68Iq6jyq2nmkZ09bO+2HjvIi/QhXmZHOI9qsEjVyJxKP7h0MMZxj59GKqbQ6usMnVdOBCpGFOJQbm7a2LIXZybX3czdqjq3dvXsXzz33nPjfqqpif38fL7300sjH6boOwzDwyU9+Eh/4wAfw1FNP4QMf+AAA4KWXXhr5HM8+++zEvyeKk4ytOZ4/h8Ls9Glrg2jKA2MkHi2ajcSCnpxHRBu4Ks6jRsUjEVubFBq486itEYOripmYppoX2w1gVJ22pilw0k6JIh6cWACAG1tmpa9zVRidtkbXIFEfu+sGOoaCe4dDWHPsPPrYd97C5z/+5rl8rSYg5xGRh/FDuf7QBWNAb0lSNo06jy4vL9Htjn7SbreL4XCY+vFf+MIX8JWvfAVnZ2f4whe+AAAYDAbodDriYzqdztR/n+Tnfu7n8Ja3vGXk/z7ykY/M/HdXhVg8CmNrasPikaaw1E6N4Ryz1kQ2awnnBjmPiDYw2nm0fPcRXTiPmnNqZE5bc2jaWhsRzqMC4pFbw+AMXVNgO9OdR1w8urlN4lEeuGhsaqy1MR9CThhjuH2tg/sHAwyjQ9x5cGPLxDc+uz6Xr9UEyR5CgpjG+CCS84GHFVNdmvs4X2Nsr+rYXCm2X5x5p0kTigaDAXq9dIuTaZrY29vDJz7xCfze7/0egFAssixLfMxwOJz675P85E/+JP78z/985P94jxIRnjYrjBdmB3NwHqV3Hg1tj+zYkrDWS4pHFCsg5GcktrYkWfIkXORvatIaMFnsmMSizqNWYpQozLZdv3J83JxRmM3Fo+tbRqWvc1Xg1z0dsBFNcGe3g/uR84jW4fngrk56JhJZcOcRT9z0h97IAX3b4e//oq4jIId49Nxzz41MV/M8D/fu3cOzzz478nE/+qM/iq9+9avif9u2jfX1dfE57t69K/7u7t27E/+eKIeuKXBcH64fNDbJh6NkTFujEbRywGNr6z1N5HUJQmaS4tGyTLFIMtfYWprzKOqvochMu+ALu8KF2RUPkXRNgeMFCIJ099HDEwvbazpNDssJF8SpLJtogju7Xbx2FE7YpXt8PrgLl2JrRBYT09YGbqOHgPPG0EIDyjNNiEcvvPACTk9P8eUvfxm2beOLX/wibt68iTe/eTTv+ta3vhVf/OIXcX5+jgcPHuAXf/EX8eKLLwIAPvShD+GXfumXcHh4iPv37+NXfuVX8OEPf7jwN0tMYmoMlhNEI3qbdx6ldx55dKomCVwVp74joi0oCksILMtzqsMRzqNGp63xzqOM2BqdsraKjoitTY+QjVNHYbaZiMOn8eDYwlPUd5Qb4TyijSrRAPs7HbEuJ0E3Hz1DhcKaPdAh2s+EeDT0luqAkzGGf/B9z+Gj732q8L+d+TTrdDr4hV/4Bfzar/0aXnjhBfzBH/wBfvZnfxaMMXzoQx/Cb/zGbwAAPvWpT+HZZ5/Fd33Xd+GHfuiH8OEPfxgf/ehHAQAf+9jH8MILL+DFF1/ED/zAD+AHf/AH8cEPfrDwN0tMokfllo4XiDd6U6gKEyMLk4SdR7QwkgEuHlFkjWgT/MR0WaZYJJnPtLXwazgpG35LiEfLkdO/KizOeRT+e2dKdO3BiUVl2QXoGgoURrE1ohn2d+I+WXIe5WO1q+Hn/8u343u+eXfR3wohMeODSM4H7tIdcL74nut4eq+48yjXb+Ed73hHatfQb/3Wb4n/7nQ6+OxnP4vPfvazk19E0/CZz3wGn/nMZwp/g0Q2hq7AdoOwKLPpwmyVIW09ObR9XFsjp4sMrPfCBSqVZRNtoqMrOB94S3kSyK3x85m2lt55ZGiMpmG2DLNg55Hvh+uAqs4jI8N55PsBHp5Y+Pa3b1f6GlcJxhhWOio5j4hG2N9NDCOiQ9zcvOu59hZ+E/NBnZi25i3lAWcZ6E7TcgyVwXb8cNHYcMeNqgB+Sg9C2HlEF5QMrPcotka0D1NX0DWUpezp4qPT51OYPSk0hCXKy/d7XXZ4L4eVUzziwmFV51EsHk1+3eO+A9sNKLZWkJWOSht7ohG2V3WKRhJEA/B1lSjMXkLnUVnoTtNydE2B7fpwPF/YzZtCYQxBgImJa2HnEb2VZECIR+QEI1qEqStL6ToCIJwgTS46MguzHZ+KQVuIqReLrdk1TdXj8cY08ehhNGntxjaJR0XYXTfomUw0AmNMRNcotkYQ9aElnEe+H+BiyTqPqkASWssx9XAyiuMG4o3eFGpChVUSX4umrcnDakfDf/e334h3v4ksuUR7MHUFq0s0AjUJd5Asatqa5QaiBJloD6K4Oqd45EYxs6rxdT3DefTgOBSPbpLzqBA/8/E3w1hCVyUhB3d2Ovj6qxd0iEsQNZJcV13aHvxgOYe6lIF+Cy1H1+LYmtbwBoHnPz0/QPIMbWh7MGnKgzR8z7upBJBoFysdDbqWvxi4TeyuG2AMjZYMz5q2RmXZ7UNTGRgr4DzyanIe6dM7jx5w5xGJR4XY26DfF9EcvPeInEcEUR9J8ehi4AFYzqEuZSDxqOUYqoKB7cH1/MpdB7MQFr7EBsX3A1huQM4jgiBK8+nvfRrBcmpHeMfTa/jNf/zN2N0wGvsaYpGTsuG3XYqttRHGGExdyV2YzSftVe48UqdPW3twYmG9pzXa30UQRDH4tCS6LgmiPtTEnvd86ALA0jrki0K/hZZj6AqeXLq1jOidBb+Q/MSachidipJdliCIsrz55sqiv4VGaVI4AgBNCe+/qdPWHJ9iay3F0JTcziMhHtXkPLKcyffSwxOLyrIJQjLe/85rYGB4w43eor8VglgaRGG2F6AfOY/WSKAFQIXZrcfQGIZRFrNq18Esov2JaJ4Hwr4jADRtjSAIYkHwOpWp09bIedRKOrqSKuKk4USvfdXBGTzi6KS8lx6cWLix1awQShBEMXRNwXd/0w4Yo3gyQdRFsg6gP6TYWhJaUbYcQ1NwaYVvar3hQsZk5xFnYIdfm0aEEgRBLAbGGHSVpU9bcwPqwmgphsaKx9YqOo+mFWYHQYAHxxae2u5U+vwEQRAEITvC0e0F6A+i2BoVZgMg8aj16BrDpRUu8rSGS1GFeJTYoIjYmklqLEEQxKLQpohHFhVmtxZTLxBb486jig7keMrb6HvpyaWLge1TbI0gCIJYepKF2eQ8GoUktJZjaAoube48mk9hthckY2vkPCIIglg0msrSp6251HnUVowChdl8OlpVoZDH3sYLsx8ch5PWSDwiCIIglp2keMRTNuQ8CqEVZcsxNAVcy9Eajq0pKbG1uPOI3koEQRCLYprziDqP2ouhKcLdOwved1V1HWBEQqM1Jh49PCHxiCAIgrgaJKta+kMPhsaoAiCCfgstJ3nKOK9pa54X/9mACrMJgiAWjqYw0XuTxHYCIQgQ7aKjK7Bzikd1OY/4e2X8vfQgEo9ubFNhNkEQBLHcjBRmD1xyHSWgFWXLSZZjNi4eqdMLs01yHhEEQSwMTVVSY2sWOY9ai6EpQhSahRO5zqoOzuDi03hc7sGJhRVTxXqXFtAEQRDEcqMqDIyFrt7+0KO+owS0omw5yS4LreHTZb4mTYpHFsXWCIIgFk4YW5t0qViOD5MKs1tJocLsSOzRK3cepU9be3Bs4caWQePACYIgiCuBpoR1AOcDF6sdEo84tONvOcmFIi+0bgotpfOIx9Y6Ol1UBEEQiyKt88jzA7gexdbaiqErE91D0+Axs6rOI1VhUBU24Xh6cGLhqe1Opc9NEARBEG2Br6v6Qw9r5LoV0Iqy5STjCFVPHGeRWpjthLE1ch4RBEEsjjTxiLtRKLbWToo4j2yvHucREEbXxqetPTyx8NQW9R0RBEEQVwNVYWFh9sDDCjmPBLSibDmGOsfOowznETXQEwRBLA5NZSP3ZiCemGWS86iVmBrLXZjtcudRLeKRMhJb6w9cnA883KBJawRBEMQVIXYeueQ8SkArypaTnKxSdUTvLNLEo6Htw9QV4UoiCIIg5k/atDXbiSZwkbjfSgytgPOIu8xqWAcY2mhsjU9ao9gaQRAEcVXQVAbXD3A+8KjzKAGtKFtOclOgzcl55Hrxnw1tDx3amBAEQSwUvshJIgQFKsxuJaauwPEC+ClT9MYR09ZqeK31MefRQy4eUWyNIAiCuCJoKsPQ9mE5PlbJeSSgXX/L0bX5xdZ4YbYfJDuPfHRNehsRBEEsEk1VJjqPuGuFYmvthB8O2SlT9MZxXB+MxYc8VTB1ZcR59PpxKB5RbI0gCIK4KmgKw+mFAwDkPEpAK8qWkxzB3Hxhdvj/xzuPaNIaQRDEYtFVBndMZLCpMLvVcFdvnuia7QbQVQbGanAeqaOF2Q9PLJgaw/aqXvlzEwRBEEQbUBWG0wsXAKjzKAGtKFvOqPNoTp1HXrLzyEOHJq0RBEEslLRpa7zziAYatBMjer7z1zEL1/NH1gOVvu7YlLcHJxZubJm1CFMEQRAE0QY0leFJJB6R8yiGVpQtZ7Qwu+HOIzW9MJvEI4IgiMWS1nlkic4juke3EbOE86gODE0RHUpAKB49tU2RNYIgCOLqoKlKHFvrknjEoRVly0luCuZVmJ083B46ProGXVAEQRCLJHXaWiQemTo5RtoIjxtabo7OI8+vTSTUVTZRmP0U9R0RBEEQVwhNZRjY4bOQCrNjSDxqOcY8Y2tsMrY2oGlrBEEQC0dNm7bmkPOozfBOwzzOI8cNajtAMnVFvHcGloeTvktl2QRBEMSVQksMoKDYWgytKFuOPtfYWvj/KbZGEAQhF5rKRoR9IBFbI4G/lfDYmp1HPPKC+pxHidjaw9Nw0hrF1giCIIirhJrYV1NhdgytKFvOqPNoTrG1CfGI1FiCIIhFoqnK9MJsch61ElGYnSe25vq1HSAZGhNup4cnkXhEziOCIAjiCpF0HvVM2utyaEXZckbEI20B4pHjoUvOI4IgiIWiqwyuNyoyWBRbazVFCrND51GNhdmRYPX6MTmPCIIgiKsHP5BZ6ahiD0yQeNR6jEQRatNv7HHxKAgCDGyfOo8IgiAWTNq0NVvE1mjR00biwuxgxkeGr7Vek0hoaAx29DUfnljQVIadNaOWz00QBEEQbYCLR9R3NArt+luOEZVkayoDY/MVj2w3QBCApq0RBEEsGE1hE7E13nlEsbV20ingPHLdoLbouqEpQnh8cGzh+qYBhU5dCYIgiCsEF4+o72gUWlG2HEVhUBXWeN8RkBSPwv89sD0AoMJsgiCIBaOpTJQcc2zHB2PND1MgmkF0HuUQj2zPr7UwmzuPHpxY1HdEEARBXDl459EKOY9GoF3/EmDqcxaPog2KZYcLWhKPCIIgFoumMgTBaCed7YaCQtOuVKIZeNwwV+eRG9RamO35ATw/wEMSjwiCIIgriErOo1Ro178E6KoCbQ6xBDUSXvnmZBCJRxRbIwiCWCxaFGFORtcsJ4DZ8CAFojlEYXbOaWt1OY/457m0PBycObhB4hFBEARxxeDOI+o8GoXEoyXA0NjIOMGm4F/DC7h4FMXWqDCbIAhioXD3aVI8sl1flC4T7YN3GuaJrTleUNvEVS4e3T8YAqBJawRBEMTVI+48IvEoCfmwloB5bQ4UNhpbGzo8tkYXFUEQxCLhixzX9wGE92S7RjcKMX8UhcHQWM7Ymg9dravzKHwvvXIwAACKrREEQRBXDr6uWumQXJKEfhtLgKEpCGZP8q2MojAwFsfWhlSYTRAEIQVqivPIcnwRfSLaSXLyWRZ1Oo/4dL5XHkfiETmPCIIgiCuGGh3IkPNoFBKPlgBDU0ZKUptEVVhCPOIrvKzeAAAgAElEQVSdR7Q5IQiCWCQ8Vuy6ydhaQOJRyzF1JXdhtl7jtDUAeOVgCIUBextGLZ+XIAiCINoCf6SukvNoBPptLAG6xsC8+XytUDwK/3tA09YIgiCkII6tJcQjh2JrbcfQFVju7MMhx/Nrm7rKp7zdOxhgd8MQZewEQRAEcVXgzz4qzB6FVgRLgKkptS0aZ6EqidiaQ9PWCIIgZEBLi625PgyattZqTG228ygIAthuUNtrzQXHewdDiqwRBEEQVxIxba1LXpsk9NtYAn70A7cWElujaWsEQRBywE/IxqetrXb0RX1LRA2YujJz2hp/JtflEOLF25bjU1k2QRAEcSXhXZKr1Hk0AolHS8Dzb96c29dK6zyi2BpBEMRi0VOcRxRbaz+GxmYWZttRrK0u55Gpx5+HxCOCIAjiKsId3WvUeTQCrSqJQoyKRx40lVEfAkEQxIKJO49iocEi8aj1mLoiIuLTcKIiQr0u51HiPXODxCOCIAjiChLH1sh5lIRWlUQhRsQjx6dJawRBEBIgpq15o9PWDJ06j9qMqSsznUdO5DzSa+s8IucRQRAEcbV5/s0b+Jsv7GFrleL/SciHRRRiZNqa5VPfEUEQhARw55GTLMx2fJjkPGo1Ro7CbCEe1eQ8SrrVqDCbIAiCuIq86eYK/psfeMOivw3poFUlUQhVATyPO488dGjSGkEQxMJJm7Zmuz4MEvhbTZ7CbDs60al72hoAXN8k8YggCIIgiBBaVRKFGC/MprJsgiCIxTNVPCLnUavJ4zxyI+eRVtNrzd8z19Z0mCQ+EgRBEAQRQasCohCqOioedcl5RBAEsXB4ZImLR64XwPNBm/+WY+oKLDfI/BjeiWSo9XYeUWSNIAiCIIgktKokCpF0Hg1sjzqPCIIgJEAV09bC+7MQFGqKMhGLwdTZ7MJsr97CbD5tjcqyCYIgCIJIQjt/ohDj09YotkYQBLF44thaKDTwnhyKrbUbUw9ja0Ew3X3kROKSXltsjUFXGW5d69Ty+QiCIAiCWA5o2hpRCOo8IgiCkA9NicSjKOJkRYICxdbajaEpCIIwhjjNWSScRzXF1hhj+Ln/4q147kavls9HEARBEMRyQOIRUYhQPAr/e2h71HlEEAQhAdqU2BqJR+2GT8uzHH+qs6hu5xEAfNMbNmr7XARBEARBLAe0qiQKoSqALzqPfHTJeUQQBLFwxqet2U74/ym21m64+Gdl9B7V7TwiCIIgCIJIg1aVRCEUhYmT7bDziJxHBEEQi2ZcPOJig0HOo1ZjarHzaBpxOTq91gRBEARBNAetNIhCaFHnkev5cL2AOo8IgiAkQFfDe3HsPIpiazRtrdVw5xF3kqXhRD1XGjmPCIIgCIJoENr5E4XghdlDO9yYdOhUmyAIYuFM6zwiN0q74a+fnSO2Rq81QRAEQRBNQisNohCqwuB5AQaReESF2QRBEIuHT1vj5ck85kSxtXbDnUfDjNiaKMwm5xFBEARBEA1Cq0qiEKrK4AfAwPYAgGJrBEEQEqAoDAqLnUdWFGUyyY3Sakw9FIQynUfRa13ntDWCIAiCIIhxaKVBFEJhCGNr0SkoiUcEQRByoKlsovPI0MmN0maMPIXZXuQ8on4rgiAIgiAahHb+RCE0JdycDC3eeUSxNYIgCBkYEY+o82gpiAuzp4tHLnceUWyNIAiCIIgGoVUlUQhVjQqznTC21iXnEUEQhBRoqiLEI0tMW6N7dJvhnVWZziPXh6YyMEbiEUEQBEEQzUGrSqIQfNoaL8ym2BpBEIQcaCqbnLZGhdmtpsNjazOmrRkUWSMIgiAIomFoVUkUQmEMvh9gSNPWCIIgpCKMFYf3Ztul8e3LgCFia8HUj3FcH5pKrzNBEARBEM1Cqw2iEGFsLTFtjU61CYIgpCDZeWQ5PlQl/DOivZg5YmvkPCIIgiAIYh7Qzp8ohKaEo6D5QrZj0luIIAhCBsYLs8l11H6MHLE12/Wh///t3XtwlNX9x/HP3nIjYgpkUhCIhCZBQJpA2hS5OThaIATJIJdiw0UY5geUS1EpBaVWtAqUYsWRtlhBrShto1zUFAqKtlDwRu0gBsM1ECBCIAKBZHPZ3x9hlwSyhIUkz7NP3q+ZzJjdPPg9s9k8J5+c8z2sPAIAAA2M2QYCclXPI05bAwBTqBEelVX6Vq0geDkdNjns1155VF7hkYuVRwAAoIExs0RAHHZvz6MK2W1iqTwAmERVz6NL29ZYeWQZoS67rwF6bapWHnEvBgAADYuZJQJir7byKCzEztHAAGASLqf98mlrZR5WHllEiNMud50rj3itAQBAw2K2gYB4t62VlFUqjJPWAMA0qq88qup5RLhvBaEu+zW3rbnLPawyAwAADY7ZBgLitFedtlbiruCkNQAwEafDprKKqpDBXV7pO+YdwS3Eab9mw+yyCratAQCAhsfMEgFxXJqgFpdUKDyEbx8AMIvqDbNLyuh5ZBV1rjwqq5ST8AgAADQwZpYIiMN+OTxi2xoAmMdVp60RHllCVcNsT63PVVZ6dORUiVq3CG3kqgAAQFPDzBIBuZQdqbi0QmGsPAIA03DU6HnkYduaRYQ4bX5XHh0pLNG5ixXq0j6ykasCAABNDTNLBMS7be38xXKFs/IIAEzD5bSropKG2VYT6vJ/2tqevPOSRHgEAAAaHOERAuL0blsrpWE2AJhJ9dPWSssqFcrPaEu4VsPsL/POKzzErg4xEY1cFQAAaGqYWSIg1Xse0TAbAMyjRs+jchpmW0XYNRpm78k7r05tm/nuzQAAAA3lumaWX3zxhYYOHaqkpCSNGjVKhw4duuprSkpKNH/+fPXq1UupqamaPXu2zp49K0nyeDzq3r27kpOTfR9PPvlkvQ4EjcN+aYLqLvfQ8wgATMTpsKmsoipkcHPammWEuOxy17LyqKy8Unvzi9myBgAAGkWdM8vS0lJNnTpV48aN0yeffKLevXtrxowZV33dsmXLlJ+fr/fee09btmzRuXPn9Oyzz0qS8vLyFBYWpl27dvk+5s+fX/+jQYNzVPuO4bQ1ADCP6iuPSss9CnWxGsUKQv2sPMo9fkFlFR51bn+LAVUBAICmps7waMeOHYqMjNTQoUPlcrk0efJkHTt2TDk5OTW+rrS0VJMnT9att96qyMhIDR8+XLt27ZIkffXVV+rUqVPDjACNqvrSeHoeAYB5eMMjj8fDtjULCXHa5S7zXPW4r1l2O1YeAQCAhues6wsOHjyouLg43+cOh0Pt2rXTgQMHagRCjz32WI3r3n//fSUkJEiqCo8KCwuVnp6u06dPq2/fvpo3b54iI6894Vm2bJleeOGFgAaEhuWsFh5x2hoAmIfLYVN5pedSgCQaZltEqMuuklpWHn2Zd14tIl367ndCDKgKAAA0NXXOLC9cuKDw8PAaj4WHh6ukpMTvNa+88oo2bdqkmTNnSpJCQkLUvXt3vfLKK9qwYYMKCwuvq+fRtGnTtHfv3hofWVlZdV6HhlNj5RE9jwDANJwOu8orPL6TuUIIjywh1GVXxaVQsLo9R86rc/tI2WxsTwQAAA2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-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
+    "wordcloud_top100.to_file('wordcloud_top100.jpg')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import datetime\n",
-    "\n",
-    "dates = []\n",
-    "start_date = datetime.date(2020, 1, 1)\n",
-    "end_date = datetime.date(2020, 6, 11)\n",
-    "delta = datetime.timedelta(days=1)\n",
-    "\n",
-    "while start_date <= end_date:\n",
-    "    dates.append(str(start_date))\n",
-    "    start_date += delta"
-   ]
+   "source": []
   }
  ],
  "metadata": {
diff --git a/wordcloud.jpg b/wordcloud.jpg
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literal 0
HcmV?d00001


From 82b64fba51ba7ef470f6797f1c0893f3243cdaab Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Wed, 17 Jun 2020 08:26:02 -0400
Subject: [PATCH 11/14] modeling attempts

---
 .DS_Store                             |  Bin 10244 -> 10244 bytes
 josh-workbook-MODELS.ipynb            | 1045 +++++++++
 josh-workbook-backup_0616-night.ipynb | 2875 +++++++++++++++++++++++++
 josh-workbook.ipynb                   | 1553 ++++++-------
 modeling_notebook-JOSH.ipynb          |  511 +++++
 5 files changed, 5134 insertions(+), 850 deletions(-)
 create mode 100644 josh-workbook-MODELS.ipynb
 create mode 100644 josh-workbook-backup_0616-night.ipynb
 create mode 100644 modeling_notebook-JOSH.ipynb

diff --git a/.DS_Store b/.DS_Store
index d983e0b67eaa941d23b58c5a70764e819f9a514f..35255318152f2bbfdb875e36127457ca9b27a18d 100644
GIT binary patch
delta 37
rcmZn(XbG6$&nU1lU^hRbz-AtSt8AM!#qV)UZ1C93u5b&)QDy`H@@Nbq

delta 147
zcmZn(XbG6$&nUDpU^hRb&}JTit85mz`7SO=Ir&Kp3=A9@KR6p^`W$iuve_7t8S)v5
g7z!9l8H#iBQ!vzQz9{yNV>7$LE%J?+d{OK*00K=eHUIzs

diff --git a/josh-workbook-MODELS.ipynb b/josh-workbook-MODELS.ipynb
new file mode 100644
index 0000000..33166ef
--- /dev/null
+++ b/josh-workbook-MODELS.ipynb
@@ -0,0 +1,1045 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using TensorFlow backend.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:521: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "import nltk\n",
+    "from nltk import RegexpTokenizer\n",
+    "from nltk.corpus import stopwords\n",
+    "from textblob import TextBlob\n",
+    "import re\n",
+    "import string\n",
+    "import emoji\n",
+    "\n",
+    "import gzip\n",
+    "import pickle\n",
+    "\n",
+    "from keras.datasets import imdb\n",
+    "from keras.preprocessing import sequence\n",
+    "from keras.models import Sequential\n",
+    "from keras import layers\n",
+    "\n",
+    "%load_ext autoreload\n",
+    "\n",
+    "%autoreload\n",
+    "\n",
+    "from functions import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('max_colwidth', 150)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Train Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with gzip.open('Datasets/features_df.pkl', 'rb') as handle:\n",
+    "    features_df = pickle.load(handle)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>...</th>\n",
+       "      <th>clean_tweets</th>\n",
+       "      <th>lda_1</th>\n",
+       "      <th>lda_2</th>\n",
+       "      <th>lda_3</th>\n",
+       "      <th>lda_4</th>\n",
+       "      <th>lda_5</th>\n",
+       "      <th>lda_6</th>\n",
+       "      <th>lda_7</th>\n",
+       "      <th>lda_8</th>\n",
+       "      <th>lda_9</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
+       "      <td>...</td>\n",
+       "      <td>death thomas unknown peasant died river</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
+       "      <td>...</td>\n",
+       "      <td>ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
+       "      <td>...</td>\n",
+       "      <td>joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
+       "      <td>...</td>\n",
+       "      <td>thought death gave horn freak</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
+       "      <td>...</td>\n",
+       "      <td>interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 32 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+       "\n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  ...  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400  ...   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368  ...   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928  ...   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401  ...   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593  ...   \n",
+       "\n",
+       "                                                                                                                                            clean_tweets  \\\n",
+       "0                                                                                                                death thomas unknown peasant died river   \n",
+       "1                                                  ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck   \n",
+       "2  joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...   \n",
+       "3                                                                                                                          thought death gave horn freak   \n",
+       "4                                                            interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle   \n",
+       "\n",
+       "   lda_1  lda_2  lda_3 lda_4  lda_5 lda_6  lda_7 lda_8 lda_9  \n",
+       "0      0      0      0     0      0     1      0     0     0  \n",
+       "1      0      0      0     0      1     0      0     0     0  \n",
+       "2      1      0      0     0      0     0      0     0     0  \n",
+       "3      0      0      0     0      0     0      0     1     0  \n",
+       "4      0      0      0     0      0     0      0     1     0  \n",
+       "\n",
+       "[5 rows x 32 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
+    "# df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(features_df, df.sentiment, test_size=0.25, random_state=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(X_train.shape)\n",
+    "print(X_test.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# scaler = StandardScaler()\n",
+    "# X_train_scaled = scaler.fit_transform(X_train)\n",
+    "# X_test_scaled = scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "\n",
+    "scaler = MinMaxScaler()\n",
+    "X_train_scaled = scaler.fit_transform(X_train)\n",
+    "X_test_scaled = scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# LSTM"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Use padding or truncation to make each observation have 400 features\n",
+    "train_features = sequence.pad_sequences(X_train_scaled, maxlen=1000, dtype='float64', truncating='post')\n",
+    "test_features = sequence.pad_sequences(X_test_scaled, maxlen=1000, dtype='float64', truncating='post')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0. 0. 0. ... 0. 0. 0.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(X_train_scaled[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
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+       "       0.        , 0.        , 0.        , 0.        , 0.        ])"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# View first observation\n",
+    "test_features[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Start neural network\n",
+    "network = Sequential()\n",
+    "\n",
+    "# Add an embedding layer\n",
+    "network.add(layers.Embedding(input_dim=X_train.shape[1], output_dim=128))\n",
+    "\n",
+    "# Add a long short-term memory layer with 128 units\n",
+    "network.add(layers.LSTM(units=128))\n",
+    "\n",
+    "# Add fully connected layer with a softmax activation function\n",
+    "network.add(layers.Dense(units=1, activation='softmax'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Compile neural network\n",
+    "network.compile(loss='binary_crossentropy', # Cross-entropy\n",
+    "                optimizer='Adam', # Adam optimization\n",
+    "                metrics=['accuracy']) # Accuracy performance metric"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "36702     negative\n",
+       "268432    positive\n",
+       "474540     neutral\n",
+       "347524    negative\n",
+       "562666    negative\n",
+       "Name: sentiment, dtype: object"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y_train.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    y_train == 'negative',\n",
+    "    y_train == 'neutral'\n",
+    "]\n",
+    "\n",
+    "choices = [0,1]\n",
+    "\n",
+    "conditions_test = [\n",
+    "    y_test == 'negative',\n",
+    "    y_test == 'neutral'\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_train_num = pd.DataFrame(np.select(conditions, choices, 2))\n",
+    "y_train_num"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_test_num = pd.DataFrame(np.select(conditions_test, choices, 2))\n",
+    "y_test_num"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train neural network\n",
+    "history = network.fit(train_features, # Features\n",
+    "                      y_train_num, # Target\n",
+    "                      epochs=3, # Number of epochs\n",
+    "                      verbose=1, \n",
+    "                      batch_size=50000, # Number of observations per batch\n",
+    "                      validation_data=(test_features, y_test_num)) # Data for evaluation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create the model\n",
+    "model = Sequential()\n",
+    "model.add(Embedding(top_words, 32, input_length=max_words))\n",
+    "model.add(Conv1D(32, 3, padding='same', activation='relu'))\n",
+    "model.add(MaxPooling1D())\n",
+    "model.add(Flatten())\n",
+    "model.add(Dense(250, activation='relu'))\n",
+    "model.add(Dense(1, activation='sigmoid'))\n",
+    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
+    "model.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tomek/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.neighbors.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.neighbors. Anything that cannot be imported from sklearn.neighbors is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.bagging module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.forest module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "Using TensorFlow backend.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:521: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.utils.testing module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.utils. Anything that cannot be imported from sklearn.utils is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.metrics.classification module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.metrics. Anything that cannot be imported from sklearn.metrics is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from imblearn.under_sampling import TomekLinks\n",
+    "\n",
+    "tomek = TomekLinks()\n",
+    "X_res, y_res = tomek.fit_resample(X_train_scaled, y_train)\n",
+    "print('Resampled dataset shape %s' % Counter(y_res))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Random Forest Classifier"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# random forest\n",
+    "forest_res = RandomForestClassifier(\n",
+    "                                        class_weight='balanced',\n",
+    "                                        random_state=1, n_jobs=-1,\n",
+    "                                        n_estimators=50, max_depth=2)\n",
+    "\n",
+    "# fit training data\n",
+    "forest_res.fit(X_train_res, y_train_res)\n",
+    "\n",
+    "# predict test dta\n",
+    "y_pred_forest = forest_res.predict(X_test_scaled)\n",
+    "\n",
+    "# check accuracy\n",
+    "print('Test Accuracy score: ', accuracy_score(y_test, y_pred_forest))\n",
+    "# check f1\n",
+    "print('Test F1 score: ', f1_score(y_test, y_pred_forest, average='weighted'))\n",
+    "# check recall\n",
+    "print('Test Recall score: ', recall_score(y_test, y_pred_forest, average='weighted'))\n",
+    "# check precision\n",
+    "print('Test Precision score: ', precision_score(y_test, y_pred_forest, average='weighted'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SCRAP HEAP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('hand', 40134),\n",
+       " ('need', 39383),\n",
+       " ('spread', 33418),\n",
+       " ('protect', 32088),\n",
+       " ('make', 31605),\n",
+       " ('help', 30306),\n",
+       " ('say', 28477),\n",
+       " ('glove', 27649),\n",
+       " ('public', 25717),\n",
+       " ('hospital', 25525),\n",
+       " ('new', 25340),\n",
+       " ('time', 25085),\n",
+       " ('medical', 24652),\n",
+       " ('china', 24641),\n",
+       " ('doctor', 24152),\n",
+       " ('home', 23986),\n",
+       " ('work', 23382),\n",
+       " ('day', 22567),\n",
+       " ('stop', 21958),\n",
+       " ('trump', 21074),\n",
+       " ('infected', 21008),\n",
+       " ('please', 20635),\n",
+       " ('everyone', 20359),\n",
+       " ('health', 20312),\n",
+       " ('death', 20287)]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Counter(words).most_common(25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/josh-workbook-backup_0616-night.ipynb b/josh-workbook-backup_0616-night.ipynb
new file mode 100644
index 0000000..a8fde37
--- /dev/null
+++ b/josh-workbook-backup_0616-night.ipynb
@@ -0,0 +1,2875 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "import nltk\n",
+    "from nltk import RegexpTokenizer\n",
+    "from nltk.corpus import stopwords\n",
+    "from textblob import TextBlob\n",
+    "import re\n",
+    "import string\n",
+    "import emoji\n",
+    "\n",
+    "import gzip\n",
+    "import pickle\n",
+    "\n",
+    "%load_ext autoreload\n",
+    "\n",
+    "%autoreload\n",
+    "\n",
+    "from functions import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('max_colwidth', 150)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Loading csvs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
+    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
+    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
+    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
+    "months = [jan, feb, mar, apr, may]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 234,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.concat(months)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Obtaining target variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 235,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    df.sentiment_score > .05,\n",
+    "    df.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 334,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(575949, 20)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 257,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.reset_index(drop=True, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 295,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>sentiment_score</th>\n",
+       "      <th>sentiment</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
+       "      <td>-0.8176</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
+       "      <td>-0.8905</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
+       "      <td>0.6705</td>\n",
+       "      <td>positive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
+       "      <td>-0.7783</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
+       "      <td>-0.2960</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at       date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
+       "\n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  retweet  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+       "\n",
+       "   nlikes  nreplies  nretweets  \\\n",
+       "0     1.0       0.0        1.0   \n",
+       "1     0.0       0.0        0.0   \n",
+       "2     1.0       1.0        1.0   \n",
+       "3     0.0       0.0        0.0   \n",
+       "4     1.0       0.0        1.0   \n",
+       "\n",
+       "                                                    quote_url  retweet_id  \\\n",
+       "0                                                         NaN         NaN   \n",
+       "1                                                         NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+       "3                                                         NaN         NaN   \n",
+       "4                                                         NaN         NaN   \n",
+       "\n",
+       "                                                                                                                                                reply_to  \\\n",
+       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
+       "\n",
+       "   sentiment_score sentiment  \n",
+       "0          -0.8176  negative  \n",
+       "1          -0.8905  negative  \n",
+       "2           0.6705  positive  \n",
+       "3          -0.7783  negative  \n",
+       "4          -0.2960  negative  "
+      ]
+     },
+     "execution_count": 295,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Big Load!!!!!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 19)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['date'] = df.date.astype('datetime64[ns]')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 19)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA/Feature Engineering"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    18052\n",
+       "neutral      8223\n",
+       "positive    21355\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.nlikes > 10].groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    105452\n",
+       "neutral      49210\n",
+       "positive    121327\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.nlikes > 0].groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    221363\n",
+       "neutral     115386\n",
+       "positive    239200\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Timestamp('2020-01-01 00:00:00')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.date[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1\n",
+       "1    1\n",
+       "2    1\n",
+       "3    1\n",
+       "4    1\n",
+       "Name: month, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['month'] = df.date.apply(lambda x: x.month)\n",
+    "df['month'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    575949.000000\n",
+       "mean          0.017756\n",
+       "std           0.505938\n",
+       "min          -0.998400\n",
+       "25%          -0.381800\n",
+       "50%           0.000000\n",
+       "75%           0.440400\n",
+       "max           0.999600\n",
+       "Name: sentiment_score, dtype: float64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sentiment_score.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>sentiment</th>\n",
+       "      <th>negative</th>\n",
+       "      <th>neutral</th>\n",
+       "      <th>positive</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.054945</td>\n",
+       "      <td>0.252747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>0.566879</td>\n",
+       "      <td>0.089172</td>\n",
+       "      <td>0.343949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.602564</td>\n",
+       "      <td>0.108974</td>\n",
+       "      <td>0.288462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.587097</td>\n",
+       "      <td>0.083871</td>\n",
+       "      <td>0.329032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.097701</td>\n",
+       "      <td>0.402299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>0.425400</td>\n",
+       "      <td>0.180400</td>\n",
+       "      <td>0.394200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>0.421400</td>\n",
+       "      <td>0.177800</td>\n",
+       "      <td>0.400800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>0.395200</td>\n",
+       "      <td>0.148600</td>\n",
+       "      <td>0.456200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>0.431400</td>\n",
+       "      <td>0.149000</td>\n",
+       "      <td>0.419600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>0.431200</td>\n",
+       "      <td>0.141600</td>\n",
+       "      <td>0.427200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>152 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "sentiment   negative   neutral  positive\n",
+       "date                                    \n",
+       "2020-01-01  0.692308  0.054945  0.252747\n",
+       "2020-01-02  0.566879  0.089172  0.343949\n",
+       "2020-01-03  0.602564  0.108974  0.288462\n",
+       "2020-01-04  0.587097  0.083871  0.329032\n",
+       "2020-01-05  0.500000  0.097701  0.402299\n",
+       "...              ...       ...       ...\n",
+       "2020-05-27  0.425400  0.180400  0.394200\n",
+       "2020-05-28  0.421400  0.177800  0.400800\n",
+       "2020-05-29  0.395200  0.148600  0.456200\n",
+       "2020-05-30  0.431400  0.149000  0.419600\n",
+       "2020-05-31  0.431200  0.141600  0.427200\n",
+       "\n",
+       "[152 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('ticks')\n",
+    "\n",
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts().unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Cleaning text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words = stopwords.words('english')\n",
+    "stop_words += ['mask', '#mask',\n",
+    "               'masks', '#masks',\n",
+    "               'face', '#face',\n",
+    "               'facemask', '#facemask',\n",
+    "               'facemasks', '#facemasks', \n",
+    "               'covid', '#covid',\n",
+    "               'covid19', '#covid19',\n",
+    "               'corona', '#corona',\n",
+    "               'coronavirus', '#coronavirus',\n",
+    "               'rona', '#rona',\n",
+    "               'virus', '#virus',\n",
+    "               'viral', '#viral',\n",
+    "               'viruses', '#viruses']\n",
+    "\n",
+    "# stop words from eda\n",
+    "eda_stop_words = ['wear', 'wearing', 'get', 'one', 'people', 'us', 'like', 'n95',\n",
+    "                   'go', 'going', 'would', 'surgical', 'via', 'also', 'use', 'even', 'know']\n",
+    "\n",
+    "stop_words += eda_stop_words"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 6min 28s, sys: 666 ms, total: 6min 28s\n",
+      "Wall time: 6min 29s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0                                                                                                                  death thomas unknown peasant died river\n",
+       "1                                                    ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
+       "2    joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...\n",
+       "3                                                                                                                            thought death gave horn freak\n",
+       "4                                                              interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle\n",
+       "Name: clean_tweet, dtype: object"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%time df['clean_tweet'] = df['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
+    "clean_tweets = df['clean_tweet']\n",
+    "clean_tweets.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# clean_tweets.to_pickle('Datasets/clean_tweets.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# clean_tweets = pd.read_pickle('Datasets/clean_tweets.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clean_tweets.to_pickle('Datasets/clean_tweets_v2.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clean_tweets = pd.read_pickle('Datasets/clean_tweets_v2.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pattern = \"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 8.72 s, sys: 256 ms, total: 8.98 s\n",
+      "Wall time: 9.07 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>#a</th>\n",
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+       "      <th>#a220</th>\n",
+       "      <th>#a23</th>\n",
+       "      <th>#a330</th>\n",
+       "      <th>#a39</th>\n",
+       "      <th>#a4</th>\n",
+       "      <th>#a400</th>\n",
+       "      <th>#a4114</th>\n",
+       "      <th>...</th>\n",
+       "      <th>zyrtec</th>\n",
+       "      <th>zyx</th>\n",
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+       "      <th>zzzzz</th>\n",
+       "      <th>zzzzzzzzzzzzzzzzzzz</th>\n",
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+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
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+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
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+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 242937 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   #a  #a11  #a2  #a220  #a23  #a330  #a39  #a4  #a400  #a4114  ...  zyrtec  \\\n",
+       "0   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
+       "1   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
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+       "4   0     0    0      0     0      0     0    0      0       0  ...       0   \n",
+       "\n",
+       "   zyx  zyxi  zz  zzbetter  zztwo  zzz  zzzz  zzzzz  zzzzzzzzzzzzzzzzzzz  \n",
+       "0    0     0   0         0      0    0     0      0                    0  \n",
+       "1    0     0   0         0      0    0     0      0                    0  \n",
+       "2    0     0   0         0      0    0     0      0                    0  \n",
+       "3    0     0   0         0      0    0     0      0                    0  \n",
+       "4    0     0   0         0      0    0     0      0                    0  \n",
+       "\n",
+       "[5 rows x 242937 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create a document-term matrix using CountVectorizer, using custom regex tokenizing pattern\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer(min_df=, token_pattern=pattern)\n",
+    "%time data_cv = cv.fit_transform(clean_tweets)\n",
+    "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_vec.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 15671)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_vec.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Let's save it for later use\n",
+    "# data_vec.to_csv(\"Datasets/sparse_matrix_clean.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# data_vec = pd.read_csv(\"Datasets/sparse_matrix_clean.csv\", index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'death thomas unknown peasant died river ready heard homemade hair treatment ann cherry dead sea mud '"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "big_string = ' '.join(clean_tweets)\n",
+    "big_string[:100]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# def corpus_from_series(corpusfolder, s):\n",
+    "#     for i, r in enumerate(s):\n",
+    "#         fname = f'tweet_{i}.txt'\n",
+    "#         corpusfile = open(corpusfolder+fname, 'a')\n",
+    "#         corpusfile.write(r)\n",
+    "#         corpusfile.close()\n",
+    "\n",
+    "# corpus_from_series('corpus/', clean_tweets)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8983989"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# corpus_path = 'corpus/'\n",
+    "# corpus = PlaintextCorpusReader(corpus_path, '.*')\n",
+    "# len(corpus.words())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 464 ms, sys: 158 ms, total: 622 ms\n",
+      "Wall time: 636 ms\n"
+     ]
+    }
+   ],
+   "source": [
+    "%time words = big_string.split()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('hand', 40134),\n",
+       " ('need', 39383),\n",
+       " ('spread', 33418),\n",
+       " ('protect', 32088),\n",
+       " ('make', 31605),\n",
+       " ('help', 30306),\n",
+       " ('say', 28477),\n",
+       " ('glove', 27649),\n",
+       " ('public', 25717),\n",
+       " ('hospital', 25525),\n",
+       " ('new', 25340),\n",
+       " ('time', 25085),\n",
+       " ('medical', 24652),\n",
+       " ('china', 24641),\n",
+       " ('doctor', 24152),\n",
+       " ('home', 23986),\n",
+       " ('work', 23382),\n",
+       " ('day', 22567),\n",
+       " ('stop', 21958),\n",
+       " ('trump', 21074),\n",
+       " ('infected', 21008),\n",
+       " ('please', 20635),\n",
+       " ('everyone', 20359),\n",
+       " ('health', 20312),\n",
+       " ('death', 20287)]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from collections import Counter\n",
+    "Counter(words).most_common(25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "243080"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_vocab = set(words)\n",
+    "len(total_vocab)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "7793391"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(words)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nltk.probability import FreqDist"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x105b93ef0>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fdist = FreqDist(words)\n",
+    "plt.figure(figsize=(10,10))\n",
+    "fdist.plot(25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# LDA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_vec.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gzip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with gzip.open('gensim_corpus2.pkl', 'wb') as handle:\n",
+    "    pickle.dump(corpus, handle, protocol=pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.021*\"pandemic\" + 0.015*\"trump\" + 0.014*\"health\" + 0.014*\"state\" + 0.012*\"patient\" + 0.010*\"medical\" + 0.010*\"hospital\" + 0.009*\"care\" + 0.009*\"news\" + 0.009*\"worker\"'),\n",
+       " (1,\n",
+       "  '0.045*\"social\" + 0.039*\"distancing\" + 0.025*\"please\" + 0.024*\"hand\" + 0.023*\"stay\" + 0.021*\"safe\" + 0.015*\"distance\" + 0.014*\"home\" + 0.013*\"keep\" + 0.012*\"facewithmedicalmask\"'),\n",
+       " (2,\n",
+       "  '0.021*\"death\" + 0.016*\"protest\" + 0.016*\"case\" + 0.012*\"new\" + 0.011*\"lockdown\" + 0.009*\"business\" + 0.009*\"police\" + 0.008*\"fight\" + 0.008*\"country\" + 0.007*\"order\"'),\n",
+       " (3,\n",
+       "  '0.008*\"want\" + 0.008*\"see\" + 0.007*\"still\" + 0.007*\"think\" + 0.007*\"got\" + 0.006*\"facewithtearsofjoy\" + 0.006*\"trump\" + 0.006*\"day\" + 0.006*\"without\" + 0.006*\"back\"'),\n",
+       " (4,\n",
+       "  '0.018*\"spread\" + 0.012*\"protect\" + 0.011*\"stop\" + 0.009*\"others\" + 0.009*\"say\" + 0.007*\"infected\" + 0.007*\"need\" + 0.007*\"help\" + 0.007*\"prevent\" + 0.007*\"risk\"')]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('lda_v1.pkl', 'wb') as handle:\n",
+    "    pickle.dump(lda, handle, protocol=pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's take a look at which topics each transcript contains\n",
+    "corpus_transformed = lda[corpus]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "575949"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(corpus_transformed)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 0.033419695),\n",
+       " (1, 0.03341969),\n",
+       " (2, 0.034334242),\n",
+       " (3, 0.8652218),\n",
+       " (4, 0.033604573)]"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corpus_transformed[3]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>(0, 0.3741839)</td>\n",
+       "      <td>(1, 0.028728412)</td>\n",
+       "      <td>(2, 0.29015267)</td>\n",
+       "      <td>(3, 0.27750286)</td>\n",
+       "      <td>(4, 0.029432131)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>(0, 0.0706517)</td>\n",
+       "      <td>(1, 0.011818341)</td>\n",
+       "      <td>(2, 0.011832589)</td>\n",
+       "      <td>(3, 0.89365095)</td>\n",
+       "      <td>(4, 0.012046404)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>(1, 0.269853)</td>\n",
+       "      <td>(2, 0.30015826)</td>\n",
+       "      <td>(3, 0.25488272)</td>\n",
+       "      <td>(4, 0.16526082)</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>(0, 0.033419695)</td>\n",
+       "      <td>(1, 0.033419695)</td>\n",
+       "      <td>(2, 0.034338985)</td>\n",
+       "      <td>(3, 0.8652171)</td>\n",
+       "      <td>(4, 0.033604585)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>(0, 0.27751666)</td>\n",
+       "      <td>(1, 0.35520992)</td>\n",
+       "      <td>(2, 0.023750711)</td>\n",
+       "      <td>(3, 0.3205183)</td>\n",
+       "      <td>(4, 0.023004448)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  0                 1                 2                3  \\\n",
+       "0    (0, 0.3741839)  (1, 0.028728412)   (2, 0.29015267)  (3, 0.27750286)   \n",
+       "1    (0, 0.0706517)  (1, 0.011818341)  (2, 0.011832589)  (3, 0.89365095)   \n",
+       "2     (1, 0.269853)   (2, 0.30015826)   (3, 0.25488272)  (4, 0.16526082)   \n",
+       "3  (0, 0.033419695)  (1, 0.033419695)  (2, 0.034338985)   (3, 0.8652171)   \n",
+       "4   (0, 0.27751666)   (1, 0.35520992)  (2, 0.023750711)   (3, 0.3205183)   \n",
+       "\n",
+       "                  4  \n",
+       "0  (4, 0.029432131)  \n",
+       "1  (4, 0.012046404)  \n",
+       "2              None  \n",
+       "3  (4, 0.033604585)  \n",
+       "4  (4, 0.023004448)  "
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corpus_df = pd.DataFrame(corpus_transformed)\n",
+    "corpus_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{1: 0.2698548, 2: 0.30015984, 3: 0.25488913, 4: 0.16525105}"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dict(corpus_transformed[2])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(1, 0.2698649), (2, 0.30016503), (3, 0.2549054), (4, 0.1652195)]"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corpus_transformed[2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lda_getter(x):\n",
+    "    x_dict = dict(x)\n",
+    "    return int(max(x_dict, key=x_dict.get))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        [(0, 0.37418506), (1, 0.028728412), (2, 0.2901532), (3, 0.27750123), (4, 0.029432064)]\n",
+       "1    [(0, 0.070643835), (1, 0.0118183745), (2, 0.011832593), (3, 0.89365155), (4, 0.012053657)]\n",
+       "2                          [(1, 0.26986384), (2, 0.30016705), (3, 0.25491711), (4, 0.16520685)]\n",
+       "3      [(0, 0.033419695), (1, 0.03341969), (2, 0.034335677), (3, 0.86522037), (4, 0.033604577)]\n",
+       "4        [(0, 0.27752057), (1, 0.35520992), (2, 0.023759414), (3, 0.3205055), (4, 0.023004547)]\n",
+       "Name: lda_scores, dtype: object"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['lda_scores'] = corpus_transformed\n",
+    "df['lda_scores'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0\n",
+       "1    3\n",
+       "2    2\n",
+       "3    3\n",
+       "4    1\n",
+       "Name: lda, dtype: int64"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['lda'] = df['lda_scores'].apply(lambda x: lda_getter(x))\n",
+    "df['lda'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv('Datasets/5k_jan_thru_may_tweets_plus_features.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').lda.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Topics Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Percentage of Tweets', fontsize=18, labelpad=10)\n",
+    "p1.legend(['lda_0', 'lda_1','lda_2', 'lda_3', 'lda_4'], facecolor='white',\n",
+    "          framealpha=1, bbox_to_anchor=(1.01, 1.0), loc='upper left')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').lda.value_counts().unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['lda_0', 'lda_1','lda_2', 'lda_3', 'lda_4'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('lda').sentiment.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot(kind='bar', stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('LDA Topic', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative', 'neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.021*\"pandemic\" + 0.015*\"trump\" + 0.014*\"health\" + 0.014*\"state\" + 0.012*\"patient\" + 0.010*\"medical\" + 0.010*\"hospital\" + 0.009*\"care\" + 0.009*\"news\" + 0.009*\"worker\"'),\n",
+       " (1,\n",
+       "  '0.045*\"social\" + 0.039*\"distancing\" + 0.025*\"please\" + 0.024*\"hand\" + 0.023*\"stay\" + 0.021*\"safe\" + 0.015*\"distance\" + 0.014*\"home\" + 0.013*\"keep\" + 0.012*\"facewithmedicalmask\"'),\n",
+       " (2,\n",
+       "  '0.021*\"death\" + 0.016*\"protest\" + 0.016*\"case\" + 0.012*\"new\" + 0.011*\"lockdown\" + 0.009*\"business\" + 0.009*\"police\" + 0.008*\"fight\" + 0.008*\"country\" + 0.007*\"order\"'),\n",
+       " (3,\n",
+       "  '0.008*\"want\" + 0.008*\"see\" + 0.007*\"still\" + 0.007*\"think\" + 0.007*\"got\" + 0.006*\"facewithtearsofjoy\" + 0.006*\"trump\" + 0.006*\"day\" + 0.006*\"without\" + 0.006*\"back\"'),\n",
+       " (4,\n",
+       "  '0.018*\"spread\" + 0.012*\"protect\" + 0.011*\"stop\" + 0.009*\"others\" + 0.009*\"say\" + 0.007*\"infected\" + 0.007*\"need\" + 0.007*\"help\" + 0.007*\"prevent\" + 0.007*\"risk\"')]"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
+       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
+       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
+       "       'sentiment', 'month', 'lda_scores', 'lda', 'subjectivity_score'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Subjectivity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0.600000\n",
+       "1    0.560000\n",
+       "2    0.462963\n",
+       "3    0.000000\n",
+       "4    0.500000\n",
+       "Name: subjectivity_score, dtype: float64"
+      ]
+     },
+     "execution_count": 108,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['subjectivity_score'] = df['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "df.subjectivity_score.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    575949.000000\n",
+       "mean          0.370732\n",
+       "std           0.290762\n",
+       "min           0.000000\n",
+       "25%           0.050000\n",
+       "50%           0.397576\n",
+       "75%           0.565000\n",
+       "max           1.000000\n",
+       "Name: subjectivity_score, dtype: float64"
+      ]
+     },
+     "execution_count": 109,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.subjectivity_score.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12639fc6a0>"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.subjectivity_score.hist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x14313ad68>"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.boxplot('subjectivity_score', 'sentiment')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x123ca62e8>"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.boxplot('subjectivity_score', 'lda')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Wordcloud"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "40134"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "word_dict = dict(Counter(words))\n",
+    "word_dict['hand']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from wordcloud import WordCloud\n",
+    "# Create the word cloud:\n",
+    "\n",
+    "wordcloud = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(word_dict)\n",
+    "\n",
+    "# Display the generated image w/ matplotlib:\n",
+    "\n",
+    "plt.figure(figsize=(20,10), facecolor='k')\n",
+    "plt.imshow(wordcloud, interpolation='bilinear')\n",
+    "plt.axis(\"off\")\n",
+    "plt.tight_layout(pad=0)\n",
+    "\n",
+    "# Uncomment the next line if you want to save your image:\n",
+    "wordcloud.to_file('wordcloud.jpg')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_word_dict = dict(Counter(words).most_common(100))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "wordcloud_top100 = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(top_word_dict)\n",
+    "\n",
+    "# Display the generated image w/ matplotlib:\n",
+    "\n",
+    "plt.figure(figsize=(20,10), facecolor='k')\n",
+    "plt.imshow(wordcloud, interpolation='bilinear')\n",
+    "plt.axis(\"off\")\n",
+    "plt.tight_layout(pad=0)\n",
+    "\n",
+    "# Uncomment the next line if you want to save your image:\n",
+    "# plt.savefig('satire_wordcloud.png')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<wordcloud.wordcloud.WordCloud at 0x21770e3ce80>"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wordcloud_top100.to_file('wordcloud_top100.jpg')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Train Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with gzip.open('Datasets/features_df.pkl', 'rb') as handle:\n",
+    "    features_df = pickle.load(handle)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>...</th>\n",
+       "      <th>clean_tweets</th>\n",
+       "      <th>lda_1</th>\n",
+       "      <th>lda_2</th>\n",
+       "      <th>lda_3</th>\n",
+       "      <th>lda_4</th>\n",
+       "      <th>lda_5</th>\n",
+       "      <th>lda_6</th>\n",
+       "      <th>lda_7</th>\n",
+       "      <th>lda_8</th>\n",
+       "      <th>lda_9</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
+       "      <td>...</td>\n",
+       "      <td>death thomas unknown peasant died river</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
+       "      <td>...</td>\n",
+       "      <td>ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
+       "      <td>...</td>\n",
+       "      <td>joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
+       "      <td>...</td>\n",
+       "      <td>thought death gave horn freak</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
+       "      <td>...</td>\n",
+       "      <td>interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 32 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+       "\n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  ...  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400  ...   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368  ...   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928  ...   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401  ...   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593  ...   \n",
+       "\n",
+       "                                                                                                                                            clean_tweets  \\\n",
+       "0                                                                                                                death thomas unknown peasant died river   \n",
+       "1                                                  ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck   \n",
+       "2  joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...   \n",
+       "3                                                                                                                          thought death gave horn freak   \n",
+       "4                                                            interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle   \n",
+       "\n",
+       "   lda_1  lda_2  lda_3 lda_4  lda_5 lda_6  lda_7 lda_8 lda_9  \n",
+       "0      0      0      0     0      0     1      0     0     0  \n",
+       "1      0      0      0     0      1     0      0     0     0  \n",
+       "2      1      0      0     0      0     0      0     0     0  \n",
+       "3      0      0      0     0      0     0      0     1     0  \n",
+       "4      0      0      0     0      0     0      0     1     0  \n",
+       "\n",
+       "[5 rows x 32 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
+       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
+       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
+       "       'sentiment', 'lda_scores', 'lda', 'subjectivity_score', 'clean_tweets',\n",
+       "       'lda_1', 'lda_2', 'lda_3', 'lda_4', 'lda_5', 'lda_6', 'lda_7', 'lda_8',\n",
+       "       'lda_9'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(features_df, df.sentiment, test_size=0.25, random_state=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(431961, 3725)\n",
+      "(143988, 3725)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(X_train.shape)\n",
+    "print(X_test.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "\n",
+    "scaler = MinMaxScaler()\n",
+    "X_train_scaled = scaler.fit_transform(X_train)\n",
+    "X_test_scaled = scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SMOTE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.neighbors.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.neighbors. Anything that cannot be imported from sklearn.neighbors is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.bagging module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.forest module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "Using TensorFlow backend.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:521: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.utils.testing module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.utils. Anything that cannot be imported from sklearn.utils is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.metrics.classification module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.metrics. Anything that cannot be imported from sklearn.metrics is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function safe_indexing is deprecated; safe_indexing is deprecated in version 0.22 and will be removed in version 0.24.\n",
+      "  warnings.warn(msg, category=FutureWarning)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from imblearn.over_sampling import SMOTE\n",
+    "\n",
+    "smoten = SMOTE(sampling_strategy='minority', random_state=42)\n",
+    "X_train_smote, y_train_smote = smoten.fit_sample(X_train_scaled, y_train)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Random Forest Classifier"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# random forest\n",
+    "forest_smote = RandomForestClassifier(\n",
+    "                                        class_weight='balanced',\n",
+    "                                        random_state=99, n_jobs=-1)\n",
+    "\n",
+    "# fit training data\n",
+    "forest_smote.fit(X_train_smote, y_train_smote)\n",
+    "\n",
+    "# predict test dta\n",
+    "y_pred_forest_smote = forest_smote.predict(X_test_scaled)\n",
+    "\n",
+    "# check accuracy\n",
+    "print('Test Accuracy score: ', accuracy_score(y_test, y_pred_forest_smote))\n",
+    "# check f1\n",
+    "print('Test F1 score: ', f1_score(y_test, y_pred_forest_smote, average='weighted'))\n",
+    "# check recall\n",
+    "print('Test Recall score: ', recall_score(y_test, y_pred_forest_smote, average='weighted'))\n",
+    "# check precision\n",
+    "print('Test Precision score: ', precision_score(y_test, y_pred_forest_smote, average='weighted'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SCRAP HEAP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('hand', 40134),\n",
+       " ('need', 39383),\n",
+       " ('spread', 33418),\n",
+       " ('protect', 32088),\n",
+       " ('make', 31605),\n",
+       " ('help', 30306),\n",
+       " ('say', 28477),\n",
+       " ('glove', 27649),\n",
+       " ('public', 25717),\n",
+       " ('hospital', 25525),\n",
+       " ('new', 25340),\n",
+       " ('time', 25085),\n",
+       " ('medical', 24652),\n",
+       " ('china', 24641),\n",
+       " ('doctor', 24152),\n",
+       " ('home', 23986),\n",
+       " ('work', 23382),\n",
+       " ('day', 22567),\n",
+       " ('stop', 21958),\n",
+       " ('trump', 21074),\n",
+       " ('infected', 21008),\n",
+       " ('please', 20635),\n",
+       " ('everyone', 20359),\n",
+       " ('health', 20312),\n",
+       " ('death', 20287)]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Counter(words).most_common(25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/josh-workbook.ipynb b/josh-workbook.ipynb
index 721c2b3..3f22af9 100644
--- a/josh-workbook.ipynb
+++ b/josh-workbook.ipynb
@@ -4,7 +4,27 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using TensorFlow backend.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:521: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -30,6 +50,11 @@
     "import gzip\n",
     "import pickle\n",
     "\n",
+    "from keras.datasets import imdb\n",
+    "from keras.preprocessing import sequence\n",
+    "from keras.models import Sequential\n",
+    "from keras import layers\n",
+    "\n",
     "%load_ext autoreload\n",
     "\n",
     "%autoreload\n",
@@ -46,358 +71,6 @@
     "pd.set_option('max_colwidth', 150)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Loading csvs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 233,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
-    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
-    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
-    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
-    "months = [jan, feb, mar, apr, may]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 234,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 17)"
-      ]
-     },
-     "execution_count": 234,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = pd.concat(months)\n",
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Obtaining target variable"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 235,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 236,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conditions = [\n",
-    "    df.sentiment_score > .05,\n",
-    "    df.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 334,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(575949, 20)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(df.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 257,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.reset_index(drop=True, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 295,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>sentiment_score</th>\n",
-       "      <th>sentiment</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
-       "      <td>-0.8176</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
-       "      <td>-0.8905</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
-       "      <td>0.6705</td>\n",
-       "      <td>positive</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
-       "      <td>-0.7783</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
-       "      <td>-0.2960</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at       date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
-       "\n",
-       "                                                                                                                                                   tweet  \\\n",
-       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
-       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
-       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
-       "3                                                                                                            Thought death masks gave you the horn freak   \n",
-       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name  \\\n",
-       "0               MLTSHP   \n",
-       "1                 MiLu   \n",
-       "2             odiecher   \n",
-       "3       Ashley Collins   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
-       "\n",
-       "                                                            link  retweet  \\\n",
-       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
-       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
-       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
-       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
-       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
-       "\n",
-       "   nlikes  nreplies  nretweets  \\\n",
-       "0     1.0       0.0        1.0   \n",
-       "1     0.0       0.0        0.0   \n",
-       "2     1.0       1.0        1.0   \n",
-       "3     0.0       0.0        0.0   \n",
-       "4     1.0       0.0        1.0   \n",
-       "\n",
-       "                                                    quote_url  retweet_id  \\\n",
-       "0                                                         NaN         NaN   \n",
-       "1                                                         NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
-       "3                                                         NaN         NaN   \n",
-       "4                                                         NaN         NaN   \n",
-       "\n",
-       "                                                                                                                                                reply_to  \\\n",
-       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
-       "\n",
-       "   sentiment_score sentiment  \n",
-       "0          -0.8176  negative  \n",
-       "1          -0.8905  negative  \n",
-       "2           0.6705  positive  \n",
-       "3          -0.7783  negative  \n",
-       "4          -0.2960  negative  "
-      ]
-     },
-     "execution_count": 295,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -2137,7 +1810,9 @@
   {
    "cell_type": "code",
    "execution_count": 115,
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -2168,22 +1843,146 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Train Test Split"
+    "## Wordcloud"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "with gzip.open('Datasets/features_df.pkl', 'rb') as handle:\n",
-    "    features_df = pickle.load(handle)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "40134"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "word_dict = dict(Counter(words))\n",
+    "word_dict['hand']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from wordcloud import WordCloud\n",
+    "# Create the word cloud:\n",
+    "\n",
+    "wordcloud = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(word_dict)\n",
+    "\n",
+    "# Display the generated image w/ matplotlib:\n",
+    "\n",
+    "plt.figure(figsize=(20,10), facecolor='k')\n",
+    "plt.imshow(wordcloud, interpolation='bilinear')\n",
+    "plt.axis(\"off\")\n",
+    "plt.tight_layout(pad=0)\n",
+    "\n",
+    "# Uncomment the next line if you want to save your image:\n",
+    "wordcloud.to_file('wordcloud.jpg')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_word_dict = dict(Counter(words).most_common(100))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "wordcloud_top100 = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(top_word_dict)\n",
+    "\n",
+    "# Display the generated image w/ matplotlib:\n",
+    "\n",
+    "plt.figure(figsize=(20,10), facecolor='k')\n",
+    "plt.imshow(wordcloud, interpolation='bilinear')\n",
+    "plt.axis(\"off\")\n",
+    "plt.tight_layout(pad=0)\n",
+    "\n",
+    "# Uncomment the next line if you want to save your image:\n",
+    "# plt.savefig('satire_wordcloud.png')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<wordcloud.wordcloud.WordCloud at 0x21770e3ce80>"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wordcloud_top100.to_file('wordcloud_top100.jpg')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Train Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with gzip.open('Datasets/features_df.pkl', 'rb') as handle:\n",
+    "    features_df = pickle.load(handle)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -2417,7 +2216,7 @@
        "[5 rows x 32 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2429,33 +2228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
-       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
-       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
-       "       'sentiment', 'lda_scores', 'lda', 'subjectivity_score', 'clean_tweets',\n",
-       "       'lda_1', 'lda_2', 'lda_3', 'lda_4', 'lda_5', 'lda_6', 'lda_7', 'lda_8',\n",
-       "       'lda_9'],\n",
-       "      dtype='object')"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2466,7 +2239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -2485,7 +2258,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# scaler = StandardScaler()\n",
+    "# X_train_scaled = scaler.fit_transform(X_train)\n",
+    "# X_test_scaled = scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2500,76 +2286,337 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# SMOTE"
+    "# LSTM"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from imblearn.over_sampling import SMOTE\n",
-    "\n",
-    "smoten = SMOTE(sampling_strategy='minority', random_state=42)\n",
-    "X_train_smote, y_train_smote = smoten.fit_sample(X_train_scaled, y_train)"
+    "# Use padding or truncation to make each observation have 400 features\n",
+    "train_features = sequence.pad_sequences(X_train_scaled, maxlen=1000, dtype='float64', truncating='post')\n",
+    "test_features = sequence.pad_sequences(X_test_scaled, maxlen=1000, dtype='float64', truncating='post')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0. 0. 0. ... 0. 0. 0.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(X_train_scaled[0])"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
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+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
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+       "       0.        , 0.        , 0.        , 0.        , 0.        ,\n",
+       "       0.        , 0.        , 0.        , 0.        , 0.        ])"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# View first observation\n",
+    "test_features[0]"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
-    "features = data_vec.copy()"
+    "# Start neural network\n",
+    "network = Sequential()\n",
+    "\n",
+    "# Add an embedding layer\n",
+    "network.add(layers.Embedding(input_dim=X_train.shape[1], output_dim=128))\n",
+    "\n",
+    "# Add a long short-term memory layer with 128 units\n",
+    "network.add(layers.LSTM(units=128))\n",
+    "\n",
+    "# Add fully connected layer with a softmax activation function\n",
+    "network.add(layers.Dense(units=1, activation='softmax'))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
-    "dummies = pd.get_dummies(df_final['lda'], drop_first=True)"
+    "# Compile neural network\n",
+    "network.compile(loss='binary_crossentropy', # Cross-entropy\n",
+    "                optimizer='Adam', # Adam optimization\n",
+    "                metrics=['accuracy']) # Accuracy performance metric"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "36702     negative\n",
+       "268432    positive\n",
+       "474540     neutral\n",
+       "347524    negative\n",
+       "562666    negative\n",
+       "Name: sentiment, dtype: object"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y_train.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "features = df_final[['nlikes', 'nreplies', 'nretweets', ]]\n",
-    "y = df_final['sentiment']"
+    "conditions = [\n",
+    "    y_train == 'negative',\n",
+    "    y_train == 'neutral'\n",
+    "]\n",
+    "\n",
+    "choices = [0,1]\n",
+    "\n",
+    "conditions_test = [\n",
+    "    y_test == 'negative',\n",
+    "    y_test == 'neutral'\n",
+    "]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -2591,424 +2638,347 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>...</th>\n",
-       "      <th>clean_tweets</th>\n",
-       "      <th>lda_1</th>\n",
-       "      <th>lda_2</th>\n",
-       "      <th>lda_3</th>\n",
-       "      <th>lda_4</th>\n",
-       "      <th>lda_5</th>\n",
-       "      <th>lda_6</th>\n",
-       "      <th>lda_7</th>\n",
-       "      <th>lda_8</th>\n",
-       "      <th>lda_9</th>\n",
+       "      <th>0</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
-       "      <td>...</td>\n",
-       "      <td>death thomas unknown peasant died river</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
-       "      <td>...</td>\n",
-       "      <td>ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
-       "      <td>...</td>\n",
-       "      <td>joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
-       "      <td>...</td>\n",
-       "      <td>thought death gave horn freak</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
-       "      <td>...</td>\n",
-       "      <td>interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>431956</th>\n",
        "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>431957</th>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>431958</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>431959</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>431960</th>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 32 columns</p>\n",
+       "<p>431961 rows × 1 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
-       "\n",
-       "                                                                                                                                                   tweet  \\\n",
-       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
-       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
-       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
-       "3                                                                                                            Thought death masks gave you the horn freak   \n",
-       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "        0\n",
+       "0       0\n",
+       "1       2\n",
+       "2       1\n",
+       "3       0\n",
+       "4       0\n",
+       "...    ..\n",
+       "431956  0\n",
+       "431957  2\n",
+       "431958  1\n",
+       "431959  1\n",
+       "431960  1\n",
        "\n",
-       "                  name  \\\n",
-       "0               MLTSHP   \n",
-       "1                 MiLu   \n",
-       "2             odiecher   \n",
-       "3       Ashley Collins   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
-       "\n",
-       "                                                            link  ...  \\\n",
-       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400  ...   \n",
-       "1       https://twitter.com/lumora_lu/status/1212518043353530368  ...   \n",
-       "2        https://twitter.com/odiecher/status/1212517557690748928  ...   \n",
-       "3      https://twitter.com/Hevysmoker/status/1212515585562726401  ...   \n",
-       "4        https://twitter.com/FaithR8s/status/1212510409858670593  ...   \n",
-       "\n",
-       "                                                                                                                                            clean_tweets  \\\n",
-       "0                                                                                                                death thomas unknown peasant died river   \n",
-       "1                                                  ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck   \n",
-       "2  joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...   \n",
-       "3                                                                                                                          thought death gave horn freak   \n",
-       "4                                                            interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle   \n",
-       "\n",
-       "   lda_1  lda_2  lda_3 lda_4  lda_5 lda_6  lda_7 lda_8 lda_9  \n",
-       "0      0      0      0     0      0     1      0     0     0  \n",
-       "1      0      0      0     0      1     0      0     0     0  \n",
-       "2      1      0      0     0      0     0      0     0     0  \n",
-       "3      0      0      0     0      0     0      0     1     0  \n",
-       "4      0      0      0     0      0     0      0     1     0  \n",
-       "\n",
-       "[5 rows x 32 columns]"
+       "[431961 rows x 1 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
-    "df.head()"
+    "y_train_num = pd.DataFrame(np.select(conditions, choices, 2))\n",
+    "y_train_num"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>143983</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>143984</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>143985</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>143986</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>143987</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>143988 rows × 1 columns</p>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "positive    0.415315\n",
-       "negative    0.384345\n",
-       "neutral     0.200341\n",
-       "Name: sentiment, dtype: float64"
+       "        0\n",
+       "0       0\n",
+       "1       2\n",
+       "2       2\n",
+       "3       0\n",
+       "4       2\n",
+       "...    ..\n",
+       "143983  0\n",
+       "143984  0\n",
+       "143985  0\n",
+       "143986  0\n",
+       "143987  0\n",
+       "\n",
+       "[143988 rows x 1 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.sentiment.value_counts(normalize=True)"
+    "y_test_num = pd.DataFrame(np.select(conditions_test, choices, 2))\n",
+    "y_test_num"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on 431961 samples, validate on 143988 samples\n",
+      "Epoch 1/3\n"
+     ]
     }
    ],
    "source": [
-    "ctd = dict(corpus_transformed[2])\n",
-    "int(max(ctd, key=ctd.get))"
+    "# Train neural network\n",
+    "history = network.fit(train_features, # Features\n",
+    "                      y_train_num, # Target\n",
+    "                      epochs=3, # Number of epochs\n",
+    "                      verbose=1, \n",
+    "                      batch_size=50000, # Number of observations per batch\n",
+    "                      validation_data=(test_features, y_test_num)) # Data for evaluation"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "weights = [topic[1] for topic in corpus_transformed[2]]\n",
-    "x = 0\n",
-    "for topic in corpus_transformed[2]:\n",
-    "    if topic[1] == max(weights):\n",
-    "        x = topic[0]"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'list' object has no attribute 'get'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-75-ffd496d72fcf>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'get'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "max(corpus_transformed[2], key=corpus_transformed[2].get)"
+    "# create the model\n",
+    "model = Sequential()\n",
+    "model.add(Embedding(top_words, 32, input_length=max_words))\n",
+    "model.add(Conv1D(32, 3, padding='same', activation='relu'))\n",
+    "model.add(MaxPooling1D())\n",
+    "model.add(Flatten())\n",
+    "model.add(Dense(250, activation='relu'))\n",
+    "model.add(Dense(1, activation='sigmoid'))\n",
+    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
+    "model.summary()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[0.26986057, 0.30016413, 0.25490528, 0.16522484]"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "weights = [topic[1] for topic in corpus_transformed[2]]\n",
-    "weights"
-   ]
+   "outputs": [],
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.30016604"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "max(weights)"
-   ]
+   "outputs": [],
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "max(corpus_transformed[3][1])"
+    "# Tomek/"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": null,
+   "metadata": {},
    "outputs": [
     {
-     "ename": "ValueError",
-     "evalue": "too many values to unpack (expected 1)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-74-0c2f46680c9c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_vec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-74-0c2f46680c9c>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_vec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m: too many values to unpack (expected 1)"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.neighbors.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.neighbors. Anything that cannot be imported from sklearn.neighbors is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.bagging module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.ensemble.forest module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.ensemble. Anything that cannot be imported from sklearn.ensemble is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "Using TensorFlow backend.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:521: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.utils.testing module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.utils. Anything that cannot be imported from sklearn.utils is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.metrics.classification module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.metrics. Anything that cannot be imported from sklearn.metrics is now part of the private API.\n",
+      "  warnings.warn(message, FutureWarning)\n"
      ]
     }
    ],
    "source": [
-    "list(zip([a for [(a,b)] in corpus_transformed], data_vec.index))"
+    "from imblearn.under_sampling import TomekLinks\n",
+    "\n",
+    "tomek = TomekLinks()\n",
+    "X_res, y_res = tomek.fit_resample(X_train_scaled, y_train)\n",
+    "print('Resampled dataset shape %s' % Counter(y_res))"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 44,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "too many values to unpack (expected 1)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-44-726aca535ed6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m<ipython-input-44-726aca535ed6>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ma\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: too many values to unpack (expected 1)"
-     ]
-    }
-   ],
    "source": [
-    "test = [a for [(a,b)] in corpus_transformed]\n",
-    "test"
+    "# Random Forest Classifier"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "RangeIndex(start=0, stop=575949, step=1)"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "data_vec.index"
+    "# random forest\n",
+    "forest_res = RandomForestClassifier(\n",
+    "                                        class_weight='balanced',\n",
+    "                                        random_state=1, n_jobs=-1,\n",
+    "                                        n_estimators=50, max_depth=2)\n",
+    "\n",
+    "# fit training data\n",
+    "forest_res.fit(X_train_res, y_train_res)\n",
+    "\n",
+    "# predict test dta\n",
+    "y_pred_forest = forest_res.predict(X_test_scaled)\n",
+    "\n",
+    "# check accuracy\n",
+    "print('Test Accuracy score: ', accuracy_score(y_test, y_pred_forest))\n",
+    "# check f1\n",
+    "print('Test F1 score: ', f1_score(y_test, y_pred_forest, average='weighted'))\n",
+    "# check recall\n",
+    "print('Test Recall score: ', recall_score(y_test, y_pred_forest, average='weighted'))\n",
+    "# check precision\n",
+    "print('Test Precision score: ', precision_score(y_test, y_pred_forest, average='weighted'))"
    ]
   },
   {
@@ -3145,123 +3115,6 @@
     "Counter(words).most_common(25)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "40134"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "word_dict = dict(Counter(words))\n",
-    "word_dict['hand']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from wordcloud import WordCloud\n",
-    "# Create the word cloud:\n",
-    "\n",
-    "wordcloud = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(word_dict)\n",
-    "\n",
-    "# Display the generated image w/ matplotlib:\n",
-    "\n",
-    "plt.figure(figsize=(20,10), facecolor='k')\n",
-    "plt.imshow(wordcloud, interpolation='bilinear')\n",
-    "plt.axis(\"off\")\n",
-    "plt.tight_layout(pad=0)\n",
-    "\n",
-    "# Uncomment the next line if you want to save your image:\n",
-    "wordcloud.to_file('wordcloud.jpg')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "top_word_dict = dict(Counter(words).most_common(100))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "wordcloud_top100 = WordCloud(colormap='Spectral', width=1200, height=600).generate_from_frequencies(top_word_dict)\n",
-    "\n",
-    "# Display the generated image w/ matplotlib:\n",
-    "\n",
-    "plt.figure(figsize=(20,10), facecolor='k')\n",
-    "plt.imshow(wordcloud, interpolation='bilinear')\n",
-    "plt.axis(\"off\")\n",
-    "plt.tight_layout(pad=0)\n",
-    "\n",
-    "# Uncomment the next line if you want to save your image:\n",
-    "# plt.savefig('satire_wordcloud.png')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<wordcloud.wordcloud.WordCloud at 0x21770e3ce80>"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wordcloud_top100.to_file('wordcloud_top100.jpg')"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/modeling_notebook-JOSH.ipynb b/modeling_notebook-JOSH.ipynb
new file mode 100644
index 0000000..df98946
--- /dev/null
+++ b/modeling_notebook-JOSH.ipynb
@@ -0,0 +1,511 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import gzip\n",
+    "import pickle\n",
+    "\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "from sklearn.naive_bayes import BernoulliNB\n",
+    "from sklearn.naive_bayes import MultinomialNB\n",
+    "\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "from sklearn.metrics import precision_score\n",
+    "from sklearn.metrics import f1_score\n",
+    "\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 32)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 3725)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "with gzip.open('Datasets/features_df.pkl', 'rb') as handle:\n",
+    "    features_df = pickle.load(handle)  \n",
+    "features_df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Train Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((431961, 3725), (143988, 3725))"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fucntion to split into train and test data\n",
+    "def tt_split(X, y):\n",
+    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, stratify=y, random_state=1)\n",
+    "    return X_train, X_test, y_train, y_test\n",
+    "\n",
+    "# Split into train and test data\n",
+    "X_train, X_test, y_train, y_test = tt_split(features_df, df['sentiment'])\n",
+    "\n",
+    "X_train.shape, X_test.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MinMax Scaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# MinMax Scaler\n",
+    "mm_scaler = MinMaxScaler()\n",
+    "X_train_mm_scl = mm_scaler.fit_transform(X_train)\n",
+    "X_test_mm_scl = mm_scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Decision Tree"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import GridSearchCV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "param_grid = {\n",
+    "    'criterion': ['gini','entropy'],\n",
+    "    'max_features': [None, 10, 20, 30],\n",
+    "    'min_samples_leaf': [10, 100, 1000, 10000]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dt_grid = GridSearchCV(DecisionTreeClassifier(class_weight='balanced'), param_grid, cv=5,\n",
+    "                     scoring='accuracy', n_jobs=-1, verbose=2, return_train_score=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 32 candidates, totalling 160 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 8 concurrent workers.\n"
+     ]
+    }
+   ],
+   "source": [
+    "dt_grid.fit(X_train_mm_scl, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# examine the best model\n",
+    "print(dt_grid.best_score_)\n",
+    "print(dt_grid.best_params_)\n",
+    "print(dt_grid.best_estimator_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#your code here\n",
+    "y_preds = dt_grid.best_estimator_.predict(X_test_mm_scl)\n",
+    "\n",
+    "accuracy_score(y_test, y_preds), f1_score(y_test, y_preds, average='weighted')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Standard Scaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Standard Scaler\n",
+    "std_scaler = StandardScaler()\n",
+    "X_train_std_scl = std_scaler.fit_transform(X_train)\n",
+    "X_test_std_scl = std_scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Bernoulli Naive Bayes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to fit bernoulli naive bayes model\n",
+    "def bnb(X_train, y_train):\n",
+    "    bnb = BernoulliNB()\n",
+    "    bnb_fit = bnb.fit(X_train, y_train)\n",
+    "    return bnb_fit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.6962663555296275, 0.6938904652543706)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fit bernoulli naive bayes model on train data, predict on minmax scaler test data\n",
+    "bnb_fit_mm_scl = bnb(X_train_mm_scl, y_train)\n",
+    "bnb_preds_mm_scl = bnb_fit_mm_scl.predict(X_test_mm_scl)\n",
+    "\n",
+    "accuracy_score(bnb_preds_mm_scl, y_test), f1_score(bnb_preds_mm_scl, y_test, average='weighted')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.7007250604217018, 0.698552621939297)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fit bernoulli naive bayes model on train data, predict on standard scaler test data\n",
+    "bnb_fit_std_scl = bnb(X_train_std_scl, y_train)\n",
+    "bnb_preds_std_scl = bnb_fit_std_scl.predict(X_test_std_scl)\n",
+    "\n",
+    "accuracy_score(bnb_preds_std_scl, y_test), f1_score(bnb_preds_std_scl, y_test, average='weighted')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Multinomial Naive Bayes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to fit multinomial naive bayes model\n",
+    "def mnb(X_train, y_train):\n",
+    "    mnb = MultinomialNB()\n",
+    "    mnb_fit = mnb.fit(X_train, y_train)\n",
+    "    return mnb_fit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.648366530544212, 0.6560903029607621)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fit multinomial naive bayes model on train data, predict on minmax scaler test data\n",
+    "mnb_fit_mm_scl = mnb(X_train_mm_scl, y_train)\n",
+    "mnb_preds_mm_scl = mnb_fit_mm_scl.predict(X_test_mm_scl)\n",
+    "\n",
+    "accuracy_score(mnb_preds_mm_scl, y_test), f1_score(mnb_preds_mm_scl, y_test, average='weighted')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to fit multinomial naive bayes model\n",
+    "def dt(X_train, y_train):\n",
+    "    dt = DecisionTreeClassifier()\n",
+    "    dt_fit = dt.fit(X_train, y_train)\n",
+    "    return dt_fit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.723782537433675, 0.7237418687722337)"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fit bernoulli naive bayes model on train data, predict on minmax scaler test data\n",
+    "dt_fit_mm_scl = dt(X_train_mm_scl, y_train)\n",
+    "dt_preds_mm_scl = dt_fit_mm_scl.predict(X_test_mm_scl)\n",
+    "\n",
+    "accuracy_score(dt_preds_mm_scl, y_test), f1_score(dt_preds_mm_scl, y_test, average='weighted')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Fit bernoulli naive bayes model on train data, predict on standard scaler test data\n",
+    "dt_fit_std_scl = dt(X_train_std_scl, y_train)\n",
+    "dt_preds_std_scl = dt_fit_std_scl.predict(X_test_std_scl)\n",
+    "\n",
+    "accuracy_score(dt_preds_std_scl, y_test), f1_score(dt_preds_std_scl, y_test, average='weighted')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Confusion Matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_confusion_matrix(cm, classes,\n",
+    "                          normalize=False,\n",
+    "                          title='Confusion matrix',\n",
+    "                          cmap=plt.cm.Blues):\n",
+    "    \"\"\"\n",
+    "    This function prints and plots the confusion matrix.\n",
+    "    Normalization can be applied by setting `normalize=True`.\n",
+    "    \"\"\"\n",
+    "    if normalize:\n",
+    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
+    "        print(\"Normalized confusion matrix\")\n",
+    "    else:\n",
+    "        print('Confusion Matrix, without normalization')\n",
+    "    print(cm)\n",
+    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
+    "    plt.title(title)\n",
+    "    plt.colorbar()\n",
+    "    tick_marks = np.arange(len(classes))\n",
+    "    plt.xticks(tick_marks, classes, rotation=45)\n",
+    "    plt.yticks(tick_marks, classes)\n",
+    "    fmt = '.2f' if normalize else 'd'\n",
+    "    thresh = cm.max() / 2.\n",
+    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
+    "        plt.text(j, i, format(cm[i, j], fmt), fontsize=15,\n",
+    "                 horizontalalignment=\"center\", verticalalignment=\"center\",\n",
+    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
+    "    plt.tight_layout()\n",
+    "    plt.ylabel('True Label')\n",
+    "    plt.xlabel('Predicted Label')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cm_bnb = confusion_matrix(y_test, y_pred_bnb)\n",
+    "classes = ['Negative', 'Neutral', 'Positive']\n",
+    "plot_confusion_matrix(cm_bnb, classes,\n",
+    "                          normalize=True,\n",
+    "                          title='Bernoulli confusion matrix',\n",
+    "                          cmap=plt.cm.Blues)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

From 35a5c41efd4e63e21b786e70d6ec134cbb9e8810 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Wed, 17 Jun 2020 14:33:42 -0400
Subject: [PATCH 12/14] backups and chart images

---
 .DS_Store                               |  Bin 8196 -> 6148 bytes
 data_cleaning_notebook-Copy1.ipynb      | 5451 +++++++++++++++++++++
 eda_visualizations_notebook-Copy1.ipynb |  779 +++
 josh-workbook-backup_0616-night.ipynb   |  187 +-
 josh-workbook_COPY.ipynb                |  266 +-
 lda_sentiment_stacked_bar.png           |  Bin 0 -> 156941 bytes
 nlp_features_notebook-Copy1.ipynb       | 5813 +++++++++++++++++++++++
 sentiment_stacked_line.png              |  Bin 0 -> 290353 bytes
 sentiment_stacked_line_top20.png        |  Bin 0 -> 725123 bytes
 top25_words_bar.png                     |  Bin 0 -> 151594 bytes
 twitter_scraping_notebook-Copy1.ipynb   |  406 ++
 11 files changed, 12788 insertions(+), 114 deletions(-)
 create mode 100644 data_cleaning_notebook-Copy1.ipynb
 create mode 100644 eda_visualizations_notebook-Copy1.ipynb
 create mode 100644 lda_sentiment_stacked_bar.png
 create mode 100644 nlp_features_notebook-Copy1.ipynb
 create mode 100644 sentiment_stacked_line.png
 create mode 100644 sentiment_stacked_line_top20.png
 create mode 100644 top25_words_bar.png
 create mode 100644 twitter_scraping_notebook-Copy1.ipynb

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diff --git a/data_cleaning_notebook-Copy1.ipynb b/data_cleaning_notebook-Copy1.ipynb
new file mode 100644
index 0000000..ff16214
--- /dev/null
+++ b/data_cleaning_notebook-Copy1.ipynb
@@ -0,0 +1,5451 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from datetime import datetime\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "from textblob import TextBlob\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Load Dataframes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/eric/opt/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3063: DtypeWarning: Columns (1,3,11,12) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1212523886329380865</td>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1577923196000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.099210e+18</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>Matt0417 (CEO of POOP)</td>\n",
+       "      <td>https://twitter.com/Matt04181/status/121252388...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1212523880558026753</td>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1577923195000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5.777754e+07</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Emma 🧛🏻‍♀️</td>\n",
+       "      <td>https://twitter.com/standtallx/status/12125238...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1212523828888449024</td>\n",
+       "      <td>1.212421e+18</td>\n",
+       "      <td>1577923183000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>['#classicjose', '#coverup']</td>\n",
+       "      <td>3.466098e+08</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>6 Times LFC</td>\n",
+       "      <td>https://twitter.com/5_Times_LFC/status/1212523...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1212523807128186882</td>\n",
+       "      <td>1.212403e+18</td>\n",
+       "      <td>1577923177000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.070006e+18</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>mugiwara no</td>\n",
+       "      <td>https://twitter.com/kagura_shelby/status/12125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1212523752925229056</td>\n",
+       "      <td>1.212513e+18</td>\n",
+       "      <td>1577923164000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>['#hugs']</td>\n",
+       "      <td>4.865904e+07</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>Luwamba L.J.Taylor</td>\n",
+       "      <td>https://twitter.com/IBdaSweet1/status/12125237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    id  conversation_id     created_at        date  \\\n",
+       "0  1212523886329380865     1.212524e+18  1577923196000  2020-01-01   \n",
+       "1  1212523880558026753     1.212524e+18  1577923195000  2020-01-01   \n",
+       "2  1212523828888449024     1.212421e+18  1577923183000  2020-01-01   \n",
+       "3  1212523807128186882     1.212403e+18  1577923177000  2020-01-01   \n",
+       "4  1212523752925229056     1.212513e+18  1577923164000  2020-01-01   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                       hashtags       user_id       username  \\\n",
+       "0                            []  1.099210e+18      Matt04181   \n",
+       "1                            []  5.777754e+07     standtallx   \n",
+       "2  ['#classicjose', '#coverup']  3.466098e+08    5_Times_LFC   \n",
+       "3                            []  1.070006e+18  kagura_shelby   \n",
+       "4                     ['#hugs']  4.865904e+07     IBdaSweet1   \n",
+       "\n",
+       "                     name                                               link  \\\n",
+       "0  Matt0417 (CEO of POOP)  https://twitter.com/Matt04181/status/121252388...   \n",
+       "1              Emma 🧛🏻‍♀️  https://twitter.com/standtallx/status/12125238...   \n",
+       "2             6 Times LFC  https://twitter.com/5_Times_LFC/status/1212523...   \n",
+       "3             mugiwara no  https://twitter.com/kagura_shelby/status/12125...   \n",
+       "4      Luwamba L.J.Taylor  https://twitter.com/IBdaSweet1/status/12125237...   \n",
+       "\n",
+       "  retweet nlikes  nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0   False      4       0.0        0.0       NaN         NaN   \n",
+       "1   False      3       2.0        0.0       NaN         NaN   \n",
+       "2   False      0       0.0        0.0       NaN         NaN   \n",
+       "3   False      3       0.0        0.0       NaN         NaN   \n",
+       "4   False      1       0.0        0.0       NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '1099209894295678977', 'username'...  \n",
+       "1  [{'user_id': '57777541', 'username': 'standtal...  \n",
+       "2  [{'user_id': '346609834', 'username': '5_Times...  \n",
+       "3  [{'user_id': '1070005555777945600', 'username'...  \n",
+       "4  [{'user_id': '48659042', 'username': 'IBdaSwee...  "
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan = pd.read_csv('Datasets/january_tweets.csv', index_col=0)\n",
+    "jan.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-01-01', '2020-01-02', '2020-01-03', '2020-01-04',\n",
+       "       'Dream Doctor®', '2020-01-05', '2020-01-06', '2020-01-07',\n",
+       "       '2020-01-08', nan, 'We The Curators', '2020-01-09', '2020-01-10',\n",
+       "       '2020-01-11', '2020-01-12', '2020-01-13', '2020-01-14',\n",
+       "       '2020-01-15', '2020-01-16', '2020-01-17', '2020-01-18',\n",
+       "       '2020-01-19', '2020-01-20', '2020-01-21', '2020-01-22',\n",
+       "       '2020-01-23', '2020-01-24', '2020-01-25', '2020-01-26',\n",
+       "       '2020-01-27', '2020-01-28', '2020-01-29', '2020-01-30',\n",
+       "       '2020-01-31'], dtype=object)"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(487435, 17)"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                  10674\n",
+       "conversation_id     10674\n",
+       "created_at          10674\n",
+       "date                10674\n",
+       "tweet               10674\n",
+       "hashtags            21349\n",
+       "user_id             21349\n",
+       "username            21349\n",
+       "name                21365\n",
+       "link                21351\n",
+       "retweet             21351\n",
+       "nlikes              21349\n",
+       "nreplies            21351\n",
+       "nretweets           21351\n",
+       "quote_url          446776\n",
+       "retweet_id         487435\n",
+       "reply_to            21351\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/eric/opt/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3063: DtypeWarning: Columns (1,3,4,5,6,8,9,10,11,12,15,17) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1223757879305367552</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1580601589000</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.221553e+09</td>\n",
+       "      <td>chong_wh96</td>\n",
+       "      <td>Chong_wH</td>\n",
+       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1223757878827159552</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1580601589000</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.075768e+09</td>\n",
+       "      <td>Yamanik30</td>\n",
+       "      <td>ACAB</td>\n",
+       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1223757871751426049</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1580601587000</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Because Nigeria is currently 51% Muslim and th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.184187e+07</td>\n",
+       "      <td>Dimplez</td>\n",
+       "      <td>Dimplez 🇳🇬</td>\n",
+       "      <td>https://twitter.com/Dimplez/status/12237578717...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>https://twitter.com/JesseLehrich/status/122336...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '21841872', 'username': 'Dimplez'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1223757866911326209</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1580601586000</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1223757863627018241</td>\n",
+       "      <td>1.223757e+18</td>\n",
+       "      <td>1580601585000</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>This 'MeshGraphic' implementation supports:\\n\\...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.478940e+09</td>\n",
+       "      <td>Softdrink_117</td>\n",
+       "      <td>Softdrink 117</td>\n",
+       "      <td>https://twitter.com/Softdrink_117/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1478940204', 'username': 'Softdr...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    id  conversation_id     created_at        date  \\\n",
+       "0  1223757879305367552     1.223758e+18  1580601589000  2020-02-01   \n",
+       "1  1223757878827159552     1.223758e+18  1580601589000  2020-02-01   \n",
+       "2  1223757871751426049     1.223758e+18  1580601587000  2020-02-01   \n",
+       "3  1223757866911326209     1.223758e+18  1580601586000  2020-02-01   \n",
+       "4  1223757863627018241     1.223757e+18  1580601585000  2020-02-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
+       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
+       "2  Because Nigeria is currently 51% Muslim and th...       []  2.184187e+07   \n",
+       "3  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
+       "4  This 'MeshGraphic' implementation supports:\\n\\...       []  1.478940e+09   \n",
+       "\n",
+       "        username           name  \\\n",
+       "0     chong_wh96       Chong_wH   \n",
+       "1      Yamanik30           ACAB   \n",
+       "2        Dimplez     Dimplez 🇳🇬   \n",
+       "3  Harry31348302          Harry   \n",
+       "4  Softdrink_117  Softdrink 117   \n",
+       "\n",
+       "                                                link retweet nlikes  nreplies  \\\n",
+       "0  https://twitter.com/chong_wh96/status/12237578...   False      0       0.0   \n",
+       "1  https://twitter.com/Yamanik30/status/122375787...   False      6       0.0   \n",
+       "2  https://twitter.com/Dimplez/status/12237578717...   False     16       0.0   \n",
+       "3  https://twitter.com/Harry31348302/status/12237...   False      0       0.0   \n",
+       "4  https://twitter.com/Softdrink_117/status/12237...   False      0       0.0   \n",
+       "\n",
+       "   nretweets                                          quote_url  retweet_id  \\\n",
+       "0        0.0                                                NaN         NaN   \n",
+       "1        0.0                                                NaN         NaN   \n",
+       "2        3.0  https://twitter.com/JesseLehrich/status/122336...         NaN   \n",
+       "3        0.0                                                NaN         NaN   \n",
+       "4        0.0                                                NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "2   [{'user_id': '21841872', 'username': 'Dimplez'}]  \n",
+       "3  [{'user_id': '1209988745790918656', 'username'...  \n",
+       "4  [{'user_id': '1478940204', 'username': 'Softdr...  "
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb = pd.read_csv('Datasets/february_tweets.csv', index_col=0)\n",
+    "feb.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(626691, 17)"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                  42530\n",
+       "conversation_id     42530\n",
+       "created_at          42530\n",
+       "date                42530\n",
+       "tweet               42530\n",
+       "hashtags            72125\n",
+       "user_id             72125\n",
+       "username            72127\n",
+       "name                72143\n",
+       "link                72131\n",
+       "retweet             72131\n",
+       "nlikes              72125\n",
+       "nreplies            72131\n",
+       "nretweets           72131\n",
+       "quote_url          581219\n",
+       "retweet_id         626691\n",
+       "reply_to            72131\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-02-01', '2020-02-02', '2020-02-03', '2020-02-04',\n",
+       "       '2020-02-05', '2020-02-06', '2020-02-07', '2020-02-08',\n",
+       "       '2020-02-09', 'jack', '2020-02-10', '2020-02-11', '2020-02-12',\n",
+       "       '2020-02-13', 'KennyWonKenOhBe', '2020-02-14', '2020-02-15',\n",
+       "       '2020-02-16', '2020-02-17', 'AsiaNews EN', '2020-02-18', 'Femina',\n",
+       "       '2020-02-19', '2020-02-20', '2020-02-21', '2020-02-22',\n",
+       "       '2020-02-23', nan, 'We The Curators', '2020-02-24', '2020-02-25',\n",
+       "       '2020-02-26', '2020-02-27', '2020-02-28', 'Vivian Kwan',\n",
+       "       '2020-02-29'], dtype=object)"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/eric/opt/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3063: DtypeWarning: Columns (1,3,11,12) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1234267158877818880</td>\n",
+       "      <td>1.234266e+18</td>\n",
+       "      <td>1583107196000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Wearing a mask on a train track somewhere in B...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.222977e+18</td>\n",
+       "      <td>KirkP31369321</td>\n",
+       "      <td>Kirks Poutine</td>\n",
+       "      <td>https://twitter.com/KirkP31369321/status/12342...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1222977020705091588', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1234267142259953664</td>\n",
+       "      <td>1.234267e+18</td>\n",
+       "      <td>1583107192000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Were willing to start wearing surgical masks e...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.317655e+09</td>\n",
+       "      <td>KCUNLEASHED96</td>\n",
+       "      <td>KC UNLEASHED96</td>\n",
+       "      <td>https://twitter.com/KCUNLEASHED96/status/12342...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>https://twitter.com/sssniperwolf/status/123426...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1317654776', 'username': 'KCUNLE...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1234267140955336704</td>\n",
+       "      <td>1.234254e+18</td>\n",
+       "      <td>1583107192000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>It's target are your lungs, don't give it acce...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.199808e+09</td>\n",
+       "      <td>1spark780</td>\n",
+       "      <td>Judy</td>\n",
+       "      <td>https://twitter.com/1spark780/status/123426714...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3199808368', 'username': '1spark...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1234267136018665472</td>\n",
+       "      <td>1.234259e+18</td>\n",
+       "      <td>1583107191000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>The new police issue masks might not prevent c...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.931759e+09</td>\n",
+       "      <td>hueman_being</td>\n",
+       "      <td>Ken Parker</td>\n",
+       "      <td>https://twitter.com/hueman_being/status/123426...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3931759154', 'username': 'hueman...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1234267124304154625</td>\n",
+       "      <td>1.234267e+18</td>\n",
+       "      <td>1583107188000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>hey i’m sad so i’m gonna do a face mask and th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4.252255e+08</td>\n",
+       "      <td>beratings</td>\n",
+       "      <td>baby bug</td>\n",
+       "      <td>https://twitter.com/beratings/status/123426712...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>14</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '425225495', 'username': 'beratin...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    id  conversation_id     created_at        date  \\\n",
+       "0  1234267158877818880     1.234266e+18  1583107196000  2020-03-01   \n",
+       "1  1234267142259953664     1.234267e+18  1583107192000  2020-03-01   \n",
+       "2  1234267140955336704     1.234254e+18  1583107192000  2020-03-01   \n",
+       "3  1234267136018665472     1.234259e+18  1583107191000  2020-03-01   \n",
+       "4  1234267124304154625     1.234267e+18  1583107188000  2020-03-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Wearing a mask on a train track somewhere in B...       []  1.222977e+18   \n",
+       "1  Were willing to start wearing surgical masks e...       []  1.317655e+09   \n",
+       "2  It's target are your lungs, don't give it acce...       []  3.199808e+09   \n",
+       "3  The new police issue masks might not prevent c...       []  3.931759e+09   \n",
+       "4  hey i’m sad so i’m gonna do a face mask and th...       []  4.252255e+08   \n",
+       "\n",
+       "        username            name  \\\n",
+       "0  KirkP31369321   Kirks Poutine   \n",
+       "1  KCUNLEASHED96  KC UNLEASHED96   \n",
+       "2      1spark780            Judy   \n",
+       "3   hueman_being      Ken Parker   \n",
+       "4      beratings        baby bug   \n",
+       "\n",
+       "                                                link retweet nlikes  nreplies  \\\n",
+       "0  https://twitter.com/KirkP31369321/status/12342...   False      1       0.0   \n",
+       "1  https://twitter.com/KCUNLEASHED96/status/12342...   False      0       0.0   \n",
+       "2  https://twitter.com/1spark780/status/123426714...   False      0       0.0   \n",
+       "3  https://twitter.com/hueman_being/status/123426...   False      0       0.0   \n",
+       "4  https://twitter.com/beratings/status/123426712...   False     14       1.0   \n",
+       "\n",
+       "   nretweets                                          quote_url  retweet_id  \\\n",
+       "0        0.0                                                NaN         NaN   \n",
+       "1        0.0  https://twitter.com/sssniperwolf/status/123426...         NaN   \n",
+       "2        0.0                                                NaN         NaN   \n",
+       "3        0.0                                                NaN         NaN   \n",
+       "4        0.0                                                NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '1222977020705091588', 'username'...  \n",
+       "1  [{'user_id': '1317654776', 'username': 'KCUNLE...  \n",
+       "2  [{'user_id': '3199808368', 'username': '1spark...  \n",
+       "3  [{'user_id': '3931759154', 'username': 'hueman...  \n",
+       "4  [{'user_id': '425225495', 'username': 'beratin...  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01 = pd.read_csv('Datasets/march01_tweets.csv', index_col=0)\n",
+    "mar01.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(737002, 17)"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 448,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/eric/opt/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3063: DtypeWarning: Columns (0,1,3,4,5,6,8,9,10,11,12,15,17) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(334598, 17)"
+      ]
+     },
+     "execution_count": 448,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_10k = pd.read_csv('10k_Datasets/10k_april_tweets.csv', index_col=0)\n",
+    "apr_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 450,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-04-01', '2020-04-02', '2020-04-03', nan, 'Thomas Paine ✊',\n",
+       "       '2020-04-04', '2020-04-05', '2020-04-06', '2020-04-07',\n",
+       "       '2020-04-08', '2020-04-09', '2020-04-10', '2020-04-11',\n",
+       "       '2020-04-12', '2020-04-13', '2020-04-14', '2020-04-15',\n",
+       "       '2020-04-16', '2020-04-17', '2020-04-18', '2020-04-19',\n",
+       "       '2020-04-20', '2020-04-21', '2020-04-22', '2020-04-23',\n",
+       "       '2020-04-24', '2020-04-25', '2020-04-26', '2020-04-27',\n",
+       "       '2020-04-28', '2020-04-29', '2020-04-30'], dtype=object)"
+      ]
+     },
+     "execution_count": 450,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_10k['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mar28_10k = pd.read_csv('Datasets/alt_search_march17_tweets.csv', index_col=0)\n",
+    "mar28_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Clean Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan_clean = jan.copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(487435, 17)"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(476761, 17)"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.dropna(how='all', inplace=True)\n",
+    "jan_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-01-01', '2020-01-02', '2020-01-03', '2020-01-04',\n",
+       "       'Dream Doctor®', '2020-01-05', '2020-01-06', '2020-01-07',\n",
+       "       '2020-01-08', 'We The Curators', '2020-01-09', '2020-01-10',\n",
+       "       '2020-01-11', '2020-01-12', '2020-01-13', '2020-01-14',\n",
+       "       '2020-01-15', '2020-01-16', '2020-01-17', '2020-01-18',\n",
+       "       '2020-01-19', '2020-01-20', '2020-01-21', '2020-01-22',\n",
+       "       '2020-01-23', '2020-01-24', '2020-01-25', '2020-01-26',\n",
+       "       '2020-01-27', '2020-01-28', '2020-01-29', '2020-01-30',\n",
+       "       '2020-01-31'], dtype=object)"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>98304</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.991984e+09</td>\n",
+       "      <td>WeTheCurators2</td>\n",
+       "      <td>We The Curators</td>\n",
+       "      <td>https://twitter.com/WeTheCurators2/status/1214...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2991984139', 'username': 'WeTheC...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       id  conversation_id      created_at             date  \\\n",
+       "98304  []     2.991984e+09  WeTheCurators2  We The Curators   \n",
+       "\n",
+       "                                                   tweet hashtags  user_id  \\\n",
+       "98304  https://twitter.com/WeTheCurators2/status/1214...    False      0.0   \n",
+       "\n",
+       "      username name link retweet  \\\n",
+       "98304        0    0  NaN     NaN   \n",
+       "\n",
+       "                                                  nlikes  nreplies  nretweets  \\\n",
+       "98304  [{'user_id': '2991984139', 'username': 'WeTheC...       NaN        NaN   \n",
+       "\n",
+       "      quote_url  retweet_id reply_to  \n",
+       "98304       NaN         NaN      NaN  "
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean[jan_clean['date'] == 'We The Curators']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(476759, 17)"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.drop(index=[28907, 98304], inplace=True)\n",
+    "jan_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 341,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-01-01', '2020-01-02', '2020-01-03', '2020-01-04',\n",
+       "       '2020-01-05', '2020-01-06', '2020-01-07', '2020-01-08',\n",
+       "       '2020-01-09', '2020-01-10', '2020-01-11', '2020-01-12',\n",
+       "       '2020-01-13', '2020-01-14', '2020-01-15', '2020-01-16',\n",
+       "       '2020-01-17', '2020-01-18', '2020-01-19', '2020-01-20',\n",
+       "       '2020-01-21', '2020-01-22', '2020-01-23', '2020-01-24',\n",
+       "       '2020-01-25', '2020-01-26', '2020-01-27', '2020-01-28',\n",
+       "       '2020-01-29', '2020-01-30', '2020-01-31'], dtype=object)"
+      ]
+     },
+     "execution_count": 341,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 342,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(476759, 17)"
+      ]
+     },
+     "execution_count": 342,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 344,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(450482, 17)"
+      ]
+     },
+     "execution_count": 344,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean = jan_clean.drop_duplicates(subset='tweet')\n",
+    "jan_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 359,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags                2\n",
+       "user_id                 2\n",
+       "username                2\n",
+       "name                   18\n",
+       "link                    2\n",
+       "retweet                 2\n",
+       "nlikes                  2\n",
+       "nreplies                2\n",
+       "nretweets               2\n",
+       "quote_url          410160\n",
+       "retweet_id         450482\n",
+       "reply_to                2\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 359,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 366,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(450464, 17)"
+      ]
+     },
+     "execution_count": 366,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.dropna(subset=['name'], inplace=True)\n",
+    "jan_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 368,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.099210e+18</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>Matt0417 (CEO of POOP)</td>\n",
+       "      <td>https://twitter.com/Matt04181/status/121252388...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1099209894295678977', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5.777754e+07</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Emma 🧛🏻‍♀️</td>\n",
+       "      <td>https://twitter.com/standtallx/status/12125238...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '57777541', 'username': 'standtal...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1.212421e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>['#classicjose', '#coverup']</td>\n",
+       "      <td>3.466098e+08</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>6 Times LFC</td>\n",
+       "      <td>https://twitter.com/5_Times_LFC/status/1212523...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '346609834', 'username': '5_Times...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1.212403e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.070006e+18</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>mugiwara no</td>\n",
+       "      <td>https://twitter.com/kagura_shelby/status/12125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1070005555777945600', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212524e+18</td>\n",
+       "      <td>1.212513e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>['#hugs']</td>\n",
+       "      <td>4.865904e+07</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>Luwamba L.J.Taylor</td>\n",
+       "      <td>https://twitter.com/IBdaSweet1/status/12125237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '48659042', 'username': 'IBdaSwee...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212524e+18     1.212524e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212524e+18     1.212524e+18  1.577923e+12  2020-01-01   \n",
+       "2  1.212524e+18     1.212421e+18  1.577923e+12  2020-01-01   \n",
+       "3  1.212524e+18     1.212403e+18  1.577923e+12  2020-01-01   \n",
+       "4  1.212524e+18     1.212513e+18  1.577923e+12  2020-01-01   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                       hashtags       user_id       username  \\\n",
+       "0                            []  1.099210e+18      Matt04181   \n",
+       "1                            []  5.777754e+07     standtallx   \n",
+       "2  ['#classicjose', '#coverup']  3.466098e+08    5_Times_LFC   \n",
+       "3                            []  1.070006e+18  kagura_shelby   \n",
+       "4                     ['#hugs']  4.865904e+07     IBdaSweet1   \n",
+       "\n",
+       "                     name                                               link  \\\n",
+       "0  Matt0417 (CEO of POOP)  https://twitter.com/Matt04181/status/121252388...   \n",
+       "1              Emma 🧛🏻‍♀️  https://twitter.com/standtallx/status/12125238...   \n",
+       "2             6 Times LFC  https://twitter.com/5_Times_LFC/status/1212523...   \n",
+       "3             mugiwara no  https://twitter.com/kagura_shelby/status/12125...   \n",
+       "4      Luwamba L.J.Taylor  https://twitter.com/IBdaSweet1/status/12125237...   \n",
+       "\n",
+       "  retweet  nlikes  nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0   False     4.0       0.0        0.0       NaN         NaN   \n",
+       "1   False     3.0       2.0        0.0       NaN         NaN   \n",
+       "2   False     0.0       0.0        0.0       NaN         NaN   \n",
+       "3   False     3.0       0.0        0.0       NaN         NaN   \n",
+       "4   False     1.0       0.0        0.0       NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '1099209894295678977', 'username'...  \n",
+       "1  [{'user_id': '57777541', 'username': 'standtal...  \n",
+       "2  [{'user_id': '346609834', 'username': '5_Times...  \n",
+       "3  [{'user_id': '1070005555777945600', 'username'...  \n",
+       "4  [{'user_id': '48659042', 'username': 'IBdaSwee...  "
+      ]
+     },
+     "execution_count": 368,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.reset_index(drop=True, inplace=True)\n",
+    "jan_clean.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 369,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan_clean.to_csv('Datasets/jan_tweets_clean.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(626691, 17)"
+      ]
+     },
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean = feb.copy()\n",
+    "feb_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(584161, 17)"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean.dropna(how='all', inplace=True)\n",
+    "feb_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-02-01', '2020-02-02', '2020-02-03', '2020-02-04',\n",
+       "       '2020-02-05', '2020-02-06', '2020-02-07', '2020-02-08',\n",
+       "       '2020-02-09', 'jack', '2020-02-10', '2020-02-11', '2020-02-12',\n",
+       "       '2020-02-13', 'KennyWonKenOhBe', '2020-02-14', '2020-02-15',\n",
+       "       '2020-02-16', '2020-02-17', 'AsiaNews EN', '2020-02-18', 'Femina',\n",
+       "       '2020-02-19', '2020-02-20', '2020-02-21', '2020-02-22',\n",
+       "       '2020-02-23', 'We The Curators', '2020-02-24', '2020-02-25',\n",
+       "       '2020-02-26', '2020-02-27', '2020-02-28', 'Vivian Kwan',\n",
+       "       '2020-02-29'], dtype=object)"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>156900</th>\n",
+       "      <td>['#end_of_the_world', '#china', '#wuhan', '#as...</td>\n",
+       "      <td>1.071292e+18</td>\n",
+       "      <td>jack24415701</td>\n",
+       "      <td>jack</td>\n",
+       "      <td>https://twitter.com/jack24415701/status/122646...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1071291991873413121', 'username'...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                       id  conversation_id  \\\n",
+       "156900  ['#end_of_the_world', '#china', '#wuhan', '#as...     1.071292e+18   \n",
+       "\n",
+       "          created_at  date                                              tweet  \\\n",
+       "156900  jack24415701  jack  https://twitter.com/jack24415701/status/122646...   \n",
+       "\n",
+       "       hashtags  user_id username name link retweet  \\\n",
+       "156900    False      0.0        0    0  NaN     NaN   \n",
+       "\n",
+       "                                                   nlikes  nreplies  \\\n",
+       "156900  [{'user_id': '1071291991873413121', 'username'...       NaN   \n",
+       "\n",
+       "        nretweets quote_url  retweet_id reply_to  \n",
+       "156900        NaN       NaN         NaN      NaN  "
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean[feb_clean['date'] == 'jack']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(584155, 17)"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean.drop(index=[156900], inplace=True)\n",
+    "feb_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-02-01', '2020-02-02', '2020-02-03', '2020-02-04',\n",
+       "       '2020-02-05', '2020-02-06', '2020-02-07', '2020-02-08',\n",
+       "       '2020-02-09', '2020-02-10', '2020-02-11', '2020-02-12',\n",
+       "       '2020-02-13', '2020-02-14', '2020-02-15', '2020-02-16',\n",
+       "       '2020-02-17', '2020-02-18', '2020-02-19', '2020-02-20',\n",
+       "       '2020-02-21', '2020-02-22', '2020-02-23', '2020-02-24',\n",
+       "       '2020-02-25', '2020-02-26', '2020-02-27', '2020-02-28',\n",
+       "       '2020-02-29'], dtype=object)"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 350,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(536891, 17)"
+      ]
+     },
+     "execution_count": 350,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean = feb_clean.drop_duplicates(subset='tweet')\n",
+    "feb_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 371,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags                6\n",
+       "user_id                 6\n",
+       "username                8\n",
+       "name                   24\n",
+       "link                    6\n",
+       "retweet                 6\n",
+       "nlikes                  6\n",
+       "nreplies                6\n",
+       "nretweets               6\n",
+       "quote_url          491745\n",
+       "retweet_id         536891\n",
+       "reply_to                6\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 371,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 374,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(536865, 17)"
+      ]
+     },
+     "execution_count": 374,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean.dropna(subset=['name', 'username'], inplace=True)\n",
+    "feb_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 376,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.221553e+09</td>\n",
+       "      <td>chong_wh96</td>\n",
+       "      <td>Chong_wH</td>\n",
+       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.075768e+09</td>\n",
+       "      <td>Yamanik30</td>\n",
+       "      <td>ACAB</td>\n",
+       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Because Nigeria is currently 51% Muslim and th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.184187e+07</td>\n",
+       "      <td>Dimplez</td>\n",
+       "      <td>Dimplez 🇳🇬</td>\n",
+       "      <td>https://twitter.com/Dimplez/status/12237578717...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>https://twitter.com/JesseLehrich/status/122336...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '21841872', 'username': 'Dimplez'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223757e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>This 'MeshGraphic' implementation supports:\\n\\...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.478940e+09</td>\n",
+       "      <td>Softdrink_117</td>\n",
+       "      <td>Softdrink 117</td>\n",
+       "      <td>https://twitter.com/Softdrink_117/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1478940204', 'username': 'Softdr...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "4  1.223758e+18     1.223757e+18  1.580602e+12  2020-02-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
+       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
+       "2  Because Nigeria is currently 51% Muslim and th...       []  2.184187e+07   \n",
+       "3  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
+       "4  This 'MeshGraphic' implementation supports:\\n\\...       []  1.478940e+09   \n",
+       "\n",
+       "        username           name  \\\n",
+       "0     chong_wh96       Chong_wH   \n",
+       "1      Yamanik30           ACAB   \n",
+       "2        Dimplez     Dimplez 🇳🇬   \n",
+       "3  Harry31348302          Harry   \n",
+       "4  Softdrink_117  Softdrink 117   \n",
+       "\n",
+       "                                                link retweet  nlikes  \\\n",
+       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
+       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
+       "2  https://twitter.com/Dimplez/status/12237578717...   False    16.0   \n",
+       "3  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
+       "4  https://twitter.com/Softdrink_117/status/12237...   False     0.0   \n",
+       "\n",
+       "   nreplies  nretweets                                          quote_url  \\\n",
+       "0       0.0        0.0                                                NaN   \n",
+       "1       0.0        0.0                                                NaN   \n",
+       "2       0.0        3.0  https://twitter.com/JesseLehrich/status/122336...   \n",
+       "3       0.0        0.0                                                NaN   \n",
+       "4       0.0        0.0                                                NaN   \n",
+       "\n",
+       "   retweet_id                                           reply_to  \n",
+       "0         NaN  [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1         NaN  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "2         NaN   [{'user_id': '21841872', 'username': 'Dimplez'}]  \n",
+       "3         NaN  [{'user_id': '1209988745790918656', 'username'...  \n",
+       "4         NaN  [{'user_id': '1478940204', 'username': 'Softdr...  "
+      ]
+     },
+     "execution_count": 376,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean.reset_index(drop=True, inplace=True)\n",
+    "feb_clean.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 377,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "feb_clean.to_csv('Datasets/feb_tweets_clean.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(737002, 17)"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean = mar01.copy()\n",
+    "mar01_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(736996, 17)"
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean.dropna(how='all', inplace=True)\n",
+    "mar01_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-03-01', 'Vivian Kwan', '2020-03-02', '2020-03-03',\n",
+       "       'James Clarke', '2020-03-04', '2020-03-05', '2020-03-06',\n",
+       "       '2020-03-07', '2020-03-08', '2020-03-09',\n",
+       "       'Haloo Automation Equipment', 'Celecare Medical', '2020-03-10',\n",
+       "       '2020-03-11', 'AsiaNews EN', 'Dianna Olukotun', 'Winn🔥',\n",
+       "       '2020-03-12', '2020-03-13', '2020-03-14', '2020-03-15',\n",
+       "       '2020-03-16'], dtype=object)"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>414281</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.204048e+18</td>\n",
+       "      <td>SherwinCaliwag</td>\n",
+       "      <td>Winn🔥</td>\n",
+       "      <td>https://twitter.com/SherwinCaliwag/status/1237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1204047724259078144', 'username'...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        id  conversation_id      created_at   date  \\\n",
+       "414281  []     1.204048e+18  SherwinCaliwag  Winn🔥   \n",
+       "\n",
+       "                                                    tweet hashtags  user_id  \\\n",
+       "414281  https://twitter.com/SherwinCaliwag/status/1237...    False      0.0   \n",
+       "\n",
+       "       username name link retweet  \\\n",
+       "414281        0    0  NaN     NaN   \n",
+       "\n",
+       "                                                   nlikes  nreplies  \\\n",
+       "414281  [{'user_id': '1204047724259078144', 'username'...       NaN   \n",
+       "\n",
+       "        nretweets quote_url  retweet_id reply_to  \n",
+       "414281        NaN       NaN         NaN      NaN  "
+      ]
+     },
+     "execution_count": 112,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean[mar01_clean['date'] == 'Winn🔥']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(736989, 17)"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean.drop(index=[24153, 82771, 315351, 316618, 381513, 393868, 414281], inplace=True)\n",
+    "mar01_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-03-01', '2020-03-02', '2020-03-03', '2020-03-04',\n",
+       "       '2020-03-05', '2020-03-06', '2020-03-07', '2020-03-08',\n",
+       "       '2020-03-09', '2020-03-10', '2020-03-11', '2020-03-12',\n",
+       "       '2020-03-13', '2020-03-14', '2020-03-15', '2020-03-16'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 389,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(695994, 17)"
+      ]
+     },
+     "execution_count": 389,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean = mar01_clean.drop_duplicates(subset='tweet')\n",
+    "mar01_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 390,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags                7\n",
+       "user_id                 7\n",
+       "username                7\n",
+       "name                   36\n",
+       "link                    7\n",
+       "retweet                 7\n",
+       "nlikes                  7\n",
+       "nreplies                7\n",
+       "nretweets               7\n",
+       "quote_url          640207\n",
+       "retweet_id         695994\n",
+       "reply_to                7\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 390,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 391,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(695958, 17)"
+      ]
+     },
+     "execution_count": 391,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean.dropna(subset=['name', 'username'], inplace=True)\n",
+    "mar01_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 393,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1234267158877818880</td>\n",
+       "      <td>1.234266e+18</td>\n",
+       "      <td>1583107196000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Wearing a mask on a train track somewhere in B...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.222977e+18</td>\n",
+       "      <td>KirkP31369321</td>\n",
+       "      <td>Kirks Poutine</td>\n",
+       "      <td>https://twitter.com/KirkP31369321/status/12342...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1222977020705091588', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1234267142259953664</td>\n",
+       "      <td>1.234267e+18</td>\n",
+       "      <td>1583107192000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Were willing to start wearing surgical masks e...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.317655e+09</td>\n",
+       "      <td>KCUNLEASHED96</td>\n",
+       "      <td>KC UNLEASHED96</td>\n",
+       "      <td>https://twitter.com/KCUNLEASHED96/status/12342...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>https://twitter.com/sssniperwolf/status/123426...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1317654776', 'username': 'KCUNLE...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1234267140955336704</td>\n",
+       "      <td>1.234254e+18</td>\n",
+       "      <td>1583107192000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>It's target are your lungs, don't give it acce...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.199808e+09</td>\n",
+       "      <td>1spark780</td>\n",
+       "      <td>Judy</td>\n",
+       "      <td>https://twitter.com/1spark780/status/123426714...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3199808368', 'username': '1spark...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1234267136018665472</td>\n",
+       "      <td>1.234259e+18</td>\n",
+       "      <td>1583107191000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>The new police issue masks might not prevent c...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.931759e+09</td>\n",
+       "      <td>hueman_being</td>\n",
+       "      <td>Ken Parker</td>\n",
+       "      <td>https://twitter.com/hueman_being/status/123426...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3931759154', 'username': 'hueman...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1234267124304154625</td>\n",
+       "      <td>1.234267e+18</td>\n",
+       "      <td>1583107188000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>hey i’m sad so i’m gonna do a face mask and th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4.252255e+08</td>\n",
+       "      <td>beratings</td>\n",
+       "      <td>baby bug</td>\n",
+       "      <td>https://twitter.com/beratings/status/123426712...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '425225495', 'username': 'beratin...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    id  conversation_id     created_at        date  \\\n",
+       "0  1234267158877818880     1.234266e+18  1583107196000  2020-03-01   \n",
+       "1  1234267142259953664     1.234267e+18  1583107192000  2020-03-01   \n",
+       "2  1234267140955336704     1.234254e+18  1583107192000  2020-03-01   \n",
+       "3  1234267136018665472     1.234259e+18  1583107191000  2020-03-01   \n",
+       "4  1234267124304154625     1.234267e+18  1583107188000  2020-03-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Wearing a mask on a train track somewhere in B...       []  1.222977e+18   \n",
+       "1  Were willing to start wearing surgical masks e...       []  1.317655e+09   \n",
+       "2  It's target are your lungs, don't give it acce...       []  3.199808e+09   \n",
+       "3  The new police issue masks might not prevent c...       []  3.931759e+09   \n",
+       "4  hey i’m sad so i’m gonna do a face mask and th...       []  4.252255e+08   \n",
+       "\n",
+       "        username            name  \\\n",
+       "0  KirkP31369321   Kirks Poutine   \n",
+       "1  KCUNLEASHED96  KC UNLEASHED96   \n",
+       "2      1spark780            Judy   \n",
+       "3   hueman_being      Ken Parker   \n",
+       "4      beratings        baby bug   \n",
+       "\n",
+       "                                                link retweet  nlikes  \\\n",
+       "0  https://twitter.com/KirkP31369321/status/12342...   False     1.0   \n",
+       "1  https://twitter.com/KCUNLEASHED96/status/12342...   False     0.0   \n",
+       "2  https://twitter.com/1spark780/status/123426714...   False     0.0   \n",
+       "3  https://twitter.com/hueman_being/status/123426...   False     0.0   \n",
+       "4  https://twitter.com/beratings/status/123426712...   False    14.0   \n",
+       "\n",
+       "   nreplies  nretweets                                          quote_url  \\\n",
+       "0       0.0        0.0                                                NaN   \n",
+       "1       0.0        0.0  https://twitter.com/sssniperwolf/status/123426...   \n",
+       "2       0.0        0.0                                                NaN   \n",
+       "3       0.0        0.0                                                NaN   \n",
+       "4       1.0        0.0                                                NaN   \n",
+       "\n",
+       "   retweet_id                                           reply_to  \n",
+       "0         NaN  [{'user_id': '1222977020705091588', 'username'...  \n",
+       "1         NaN  [{'user_id': '1317654776', 'username': 'KCUNLE...  \n",
+       "2         NaN  [{'user_id': '3199808368', 'username': '1spark...  \n",
+       "3         NaN  [{'user_id': '3931759154', 'username': 'hueman...  \n",
+       "4         NaN  [{'user_id': '425225495', 'username': 'beratin...  "
+      ]
+     },
+     "execution_count": 393,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean.reset_index(drop=True, inplace=True)\n",
+    "mar01_clean.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 394,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mar01_clean.to_csv('Datasets/mar01_tweets_clean.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 402,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(695958, 17)"
+      ]
+     },
+     "execution_count": 402,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean = pd.read_csv('Datasets/mar01_tweets_clean.csv', index_col=0)\n",
+    "mar01_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 403,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(9734, 17)"
+      ]
+     },
+     "execution_count": 403,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_10k = pd.read_csv('10k_Datasets/10k_march17_tweets.csv', index_col=0)\n",
+    "mar17_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 404,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(133560, 17)"
+      ]
+     },
+     "execution_count": 404,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar18_10k = pd.read_csv('10k_Datasets/10k_march18_tweets.csv', index_col=0, encoding='utf8', engine='python')\n",
+    "mar18_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 405,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(143294, 17)"
+      ]
+     },
+     "execution_count": 405,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_clean_10k = pd.concat([mar17_10k, mar18_10k])\n",
+    "mar17_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 406,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(143294, 17)"
+      ]
+     },
+     "execution_count": 406,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_clean_10k.reset_index(drop=True, inplace=True)\n",
+    "mar17_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 407,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(143292, 17)"
+      ]
+     },
+     "execution_count": 407,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_clean_10k.dropna(how='all', inplace=True)\n",
+    "mar17_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 409,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-03-17', '2020-03-18', '2020-03-19', 'Combo Gadgets',\n",
+       "       '2020-03-20', '2020-03-21', '2020-03-22', '2020-03-23',\n",
+       "       '2020-03-24', '2020-03-25', '2020-03-26', '2020-03-27',\n",
+       "       '2020-03-28', '2020-03-29', 'Stat Butler', '2020-03-30',\n",
+       "       '2020-03-31'], dtype=object)"
+      ]
+     },
+     "execution_count": 409,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_clean_10k['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 410,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>121954</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>9.819696e+17</td>\n",
+       "      <td>stat_butler</td>\n",
+       "      <td>Stat Butler</td>\n",
+       "      <td>https://twitter.com/stat_butler/status/1244265...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '981969608277135360', 'username':...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>122265</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>9.819696e+17</td>\n",
+       "      <td>stat_butler</td>\n",
+       "      <td>Stat Butler</td>\n",
+       "      <td>https://twitter.com/stat_butler/status/1244260...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '981969608277135360', 'username':...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        id  conversation_id   created_at         date  \\\n",
+       "121954  []     9.819696e+17  stat_butler  Stat Butler   \n",
+       "122265  []     9.819696e+17  stat_butler  Stat Butler   \n",
+       "\n",
+       "                                                    tweet hashtags  user_id  \\\n",
+       "121954  https://twitter.com/stat_butler/status/1244265...    False      0.0   \n",
+       "122265  https://twitter.com/stat_butler/status/1244260...    False      0.0   \n",
+       "\n",
+       "       username name link retweet  \\\n",
+       "121954        0    0  NaN     NaN   \n",
+       "122265        0    1  NaN     NaN   \n",
+       "\n",
+       "                                                   nlikes  nreplies  \\\n",
+       "121954  [{'user_id': '981969608277135360', 'username':...       NaN   \n",
+       "122265  [{'user_id': '981969608277135360', 'username':...       NaN   \n",
+       "\n",
+       "        nretweets quote_url  retweet_id reply_to  \n",
+       "121954        NaN      None         NaN     None  \n",
+       "122265        NaN      None         NaN     None  "
+      ]
+     },
+     "execution_count": 410,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_clean_10k[mar17_clean_10k['date'] == 'Stat Butler']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 411,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(143289, 17)"
+      ]
+     },
+     "execution_count": 411,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_clean_10k.drop(index=[22752, 121954, 122265], inplace=True)\n",
+    "mar17_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 412,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(143289, 17)"
+      ]
+     },
+     "execution_count": 412,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar17_clean_10k.reset_index(drop=True, inplace=True)\n",
+    "mar17_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 418,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(839247, 17)"
+      ]
+     },
+     "execution_count": 418,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar_clean_10k_from_17th = pd.concat([mar01_clean, mar17_clean_10k])\n",
+    "mar_clean_10k_from_17th.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 431,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(830115, 17)"
+      ]
+     },
+     "execution_count": 431,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar_clean_10k_from_17th = mar_clean_10k_from_17th.drop_duplicates(subset='tweet')\n",
+    "mar_clean_10k_from_17th.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 432,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags               10\n",
+       "user_id                10\n",
+       "username               10\n",
+       "name                   42\n",
+       "link                   10\n",
+       "retweet                10\n",
+       "nlikes                 10\n",
+       "nreplies               10\n",
+       "nretweets              10\n",
+       "quote_url          764081\n",
+       "retweet_id         830115\n",
+       "reply_to               10\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 432,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar_clean_10k_from_17th.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 433,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/eric/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(830073, 17)"
+      ]
+     },
+     "execution_count": 433,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar_clean_10k_from_17th.dropna(subset=['name', 'username'], inplace=True)\n",
+    "mar_clean_10k_from_17th.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 436,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(830073, 17)"
+      ]
+     },
+     "execution_count": 436,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar_clean_10k_from_17th.reset_index(drop=True, inplace=True)\n",
+    "mar_clean_10k_from_17th.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 437,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mar_clean_10k_from_17th.to_csv('Datasets/mar_tweets_clean_10k_from_17th.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 451,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(334598, 17)"
+      ]
+     },
+     "execution_count": 451,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_clean_10k = apr_10k.copy()\n",
+    "apr_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 452,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(299811, 17)"
+      ]
+     },
+     "execution_count": 452,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_clean_10k.dropna(how='all', inplace=True)\n",
+    "apr_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 455,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags             2019\n",
+       "user_id              2019\n",
+       "username             2019\n",
+       "name                 2025\n",
+       "link                 2020\n",
+       "retweet              2020\n",
+       "nlikes               2019\n",
+       "nreplies             2020\n",
+       "nretweets            2020\n",
+       "quote_url          280944\n",
+       "retweet_id         299811\n",
+       "reply_to             2020\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 455,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_clean_10k.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 458,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(297785, 17)"
+      ]
+     },
+     "execution_count": 458,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_clean_10k.dropna(subset=['name', 'username', 'link'], inplace=True)\n",
+    "apr_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 460,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2020-04-01', '2020-04-02', '2020-04-03', '2020-04-04',\n",
+       "       '2020-04-05', '2020-04-06', '2020-04-07', '2020-04-08',\n",
+       "       '2020-04-09', '2020-04-10', '2020-04-11', '2020-04-12',\n",
+       "       '2020-04-13', '2020-04-14', '2020-04-15', '2020-04-16',\n",
+       "       '2020-04-17', '2020-04-18', '2020-04-19', '2020-04-20',\n",
+       "       '2020-04-21', '2020-04-22', '2020-04-23', '2020-04-24',\n",
+       "       '2020-04-25', '2020-04-26', '2020-04-27', '2020-04-28',\n",
+       "       '2020-04-29', '2020-04-30'], dtype=object)"
+      ]
+     },
+     "execution_count": 460,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_clean_10k['date'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 461,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(297785, 17)"
+      ]
+     },
+     "execution_count": 461,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_clean_10k.reset_index(drop=True, inplace=True)\n",
+    "apr_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 462,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "apr_clean_10k.to_csv('Datasets/apr_tweets_clean_10k.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(476759, 17)"
+      ]
+     },
+     "execution_count": 155,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>1212523477896294400</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1577923099000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>201</th>\n",
+       "      <td>1212518043353530368</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1577921803000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>222</th>\n",
+       "      <td>1212517557690748928</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1577921687000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>327</th>\n",
+       "      <td>1212515585562726401</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1577921217000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>522</th>\n",
+       "      <td>1212510409858670593</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1577919983000</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>476736</th>\n",
+       "      <td>1223108827530153985</td>\n",
+       "      <td>1.223109e+18</td>\n",
+       "      <td>1580446843000</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>TWICE will be continuing with their meet &amp; gre...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.246642e+09</td>\n",
+       "      <td>misayeon</td>\n",
+       "      <td>misa •ᴗ•</td>\n",
+       "      <td>https://twitter.com/misayeon/status/1223108827...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>5651</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>1343.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2246641690', 'username': 'misaye...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>476743</th>\n",
+       "      <td>1223108743304364033</td>\n",
+       "      <td>1.223109e+18</td>\n",
+       "      <td>1580446823000</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>“Doctor's advice about coronavirus:\\n\\n1. It i...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.854207e+09</td>\n",
+       "      <td>AlwaysDesTitres</td>\n",
+       "      <td>🧙🏻‍♂️🌱&amp; JDs💜</td>\n",
+       "      <td>https://twitter.com/AlwaysDesTitres/status/122...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1854206910', 'username': 'Always...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>476745</th>\n",
+       "      <td>1223108727164653570</td>\n",
+       "      <td>1.223058e+18</td>\n",
+       "      <td>1580446819000</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>The face mask is running out of stock in Hong ...</td>\n",
+       "      <td>['#coronavirusoutbreak', '#hongkongprotests']</td>\n",
+       "      <td>1.193545e+18</td>\n",
+       "      <td>tree_louis</td>\n",
+       "      <td>Louis K S Tang</td>\n",
+       "      <td>https://twitter.com/tree_louis/status/12231087...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1193544878703009792', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>476750</th>\n",
+       "      <td>1223108704867774466</td>\n",
+       "      <td>1.223109e+18</td>\n",
+       "      <td>1580446814000</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>Pro-#CCPChina thugs attacked kids in #YuenLong...</td>\n",
+       "      <td>['#ccpchina', '#yuenlong', '#coronavirus', '#h...</td>\n",
+       "      <td>8.041465e+08</td>\n",
+       "      <td>AngusChTrix</td>\n",
+       "      <td>angusCH</td>\n",
+       "      <td>https://twitter.com/AngusChTrix/status/1223108...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/lukedepulford/status/12229...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '804146479', 'username': 'AngusCh...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>476756</th>\n",
+       "      <td>1223108655731503105</td>\n",
+       "      <td>1.223109e+18</td>\n",
+       "      <td>1580446802000</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>To help fight the outbreak of pneumonia caused...</td>\n",
+       "      <td>['#coronavirus']</td>\n",
+       "      <td>8.777542e+07</td>\n",
+       "      <td>ChinaDaily</td>\n",
+       "      <td>China Daily</td>\n",
+       "      <td>https://twitter.com/ChinaDaily/status/12231086...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>64</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '87775422', 'username': 'ChinaDai...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>48155 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                         id  conversation_id     created_at        date  \\\n",
+       "15      1212523477896294400     1.212523e+18  1577923099000  2020-01-01   \n",
+       "201     1212518043353530368     1.212518e+18  1577921803000  2020-01-01   \n",
+       "222     1212517557690748928     1.212518e+18  1577921687000  2020-01-01   \n",
+       "327     1212515585562726401     1.200523e+18  1577921217000  2020-01-01   \n",
+       "522     1212510409858670593     1.212391e+18  1577919983000  2020-01-01   \n",
+       "...                     ...              ...            ...         ...   \n",
+       "476736  1223108827530153985     1.223109e+18  1580446843000  2020-01-31   \n",
+       "476743  1223108743304364033     1.223109e+18  1580446823000  2020-01-31   \n",
+       "476745  1223108727164653570     1.223058e+18  1580446819000  2020-01-31   \n",
+       "476750  1223108704867774466     1.223109e+18  1580446814000  2020-01-31   \n",
+       "476756  1223108655731503105     1.223109e+18  1580446802000  2020-01-31   \n",
+       "\n",
+       "                                                    tweet  \\\n",
+       "15       https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
+       "201     Ready to heard this? Homemade hair treatment a...   \n",
+       "222     We all know what a joke #CCPChina is when it c...   \n",
+       "327           Thought death masks gave you the horn freak   \n",
+       "522     Interesting cult of death mask he’s wearing, 🤔...   \n",
+       "...                                                   ...   \n",
+       "476736  TWICE will be continuing with their meet & gre...   \n",
+       "476743  “Doctor's advice about coronavirus:\\n\\n1. It i...   \n",
+       "476745  The face mask is running out of stock in Hong ...   \n",
+       "476750  Pro-#CCPChina thugs attacked kids in #YuenLong...   \n",
+       "476756  To help fight the outbreak of pneumonia caused...   \n",
+       "\n",
+       "                                                 hashtags       user_id  \\\n",
+       "15                                                     []  8.431951e+17   \n",
+       "201                                                    []  1.044739e+18   \n",
+       "222               ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17   \n",
+       "327                                                    []  2.819219e+09   \n",
+       "522                                                    []  2.361956e+08   \n",
+       "...                                                   ...           ...   \n",
+       "476736                                                 []  2.246642e+09   \n",
+       "476743                                                 []  1.854207e+09   \n",
+       "476745      ['#coronavirusoutbreak', '#hongkongprotests']  1.193545e+18   \n",
+       "476750  ['#ccpchina', '#yuenlong', '#coronavirus', '#h...  8.041465e+08   \n",
+       "476756                                   ['#coronavirus']  8.777542e+07   \n",
+       "\n",
+       "               username                 name  \\\n",
+       "15       Best_of_MLTSHP               MLTSHP   \n",
+       "201           lumora_lu                 MiLu   \n",
+       "222            odiecher             odiecher   \n",
+       "327          Hevysmoker       Ashley Collins   \n",
+       "522            FaithR8s  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "...                 ...                  ...   \n",
+       "476736         misayeon             misa •ᴗ•   \n",
+       "476743  AlwaysDesTitres         🧙🏻‍♂️🌱& JDs💜   \n",
+       "476745       tree_louis       Louis K S Tang   \n",
+       "476750      AngusChTrix              angusCH   \n",
+       "476756       ChinaDaily          China Daily   \n",
+       "\n",
+       "                                                     link retweet nlikes  \\\n",
+       "15      https://twitter.com/Best_of_MLTSHP/status/1212...   False      1   \n",
+       "201     https://twitter.com/lumora_lu/status/121251804...   False      0   \n",
+       "222     https://twitter.com/odiecher/status/1212517557...   False      1   \n",
+       "327     https://twitter.com/Hevysmoker/status/12125155...   False      0   \n",
+       "522     https://twitter.com/FaithR8s/status/1212510409...   False      1   \n",
+       "...                                                   ...     ...    ...   \n",
+       "476736  https://twitter.com/misayeon/status/1223108827...   False   5651   \n",
+       "476743  https://twitter.com/AlwaysDesTitres/status/122...   False      9   \n",
+       "476745  https://twitter.com/tree_louis/status/12231087...   False      2   \n",
+       "476750  https://twitter.com/AngusChTrix/status/1223108...   False      1   \n",
+       "476756  https://twitter.com/ChinaDaily/status/12231086...   False     64   \n",
+       "\n",
+       "        nreplies  nretweets  \\\n",
+       "15           0.0        1.0   \n",
+       "201          0.0        0.0   \n",
+       "222          1.0        1.0   \n",
+       "327          0.0        0.0   \n",
+       "522          0.0        1.0   \n",
+       "...          ...        ...   \n",
+       "476736      86.0     1343.0   \n",
+       "476743       1.0        6.0   \n",
+       "476745       0.0        1.0   \n",
+       "476750       0.0        1.0   \n",
+       "476756       3.0       17.0   \n",
+       "\n",
+       "                                                quote_url  retweet_id  \\\n",
+       "15                                                    NaN         NaN   \n",
+       "201                                                   NaN         NaN   \n",
+       "222     https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
+       "327                                                   NaN         NaN   \n",
+       "522                                                   NaN         NaN   \n",
+       "...                                                   ...         ...   \n",
+       "476736                                                NaN         NaN   \n",
+       "476743                                                NaN         NaN   \n",
+       "476745                                                NaN         NaN   \n",
+       "476750  https://twitter.com/lukedepulford/status/12229...         NaN   \n",
+       "476756                                                NaN         NaN   \n",
+       "\n",
+       "                                                 reply_to  \n",
+       "15      [{'user_id': '843195118924546048', 'username':...  \n",
+       "201     [{'user_id': '1044738746913034241', 'username'...  \n",
+       "222     [{'user_id': '963032516759207936', 'username':...  \n",
+       "327     [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
+       "522     [{'user_id': '236195607', 'username': 'FaithR8...  \n",
+       "...                                                   ...  \n",
+       "476736  [{'user_id': '2246641690', 'username': 'misaye...  \n",
+       "476743  [{'user_id': '1854206910', 'username': 'Always...  \n",
+       "476745  [{'user_id': '1193544878703009792', 'username'...  \n",
+       "476750  [{'user_id': '804146479', 'username': 'AngusCh...  \n",
+       "476756  [{'user_id': '87775422', 'username': 'ChinaDai...  \n",
+       "\n",
+       "[48155 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "jan_clean[jan_clean['tweet'].str.contains(filt)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
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+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
+       "      <td>[]</td>\n",
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+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
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+       "      <th>3</th>\n",
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+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
+       "      <td>False</td>\n",
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+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1223757792244191232</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1580601568000</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.156025e+09</td>\n",
+       "      <td>JaceLucena</td>\n",
+       "      <td>katka</td>\n",
+       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
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+       "      <th>22</th>\n",
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+       "      <td>2020-02-01</td>\n",
+       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
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+       "      <td>1.233618e+18</td>\n",
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+       "      <td>2020-02-29</td>\n",
+       "      <td>Fear of the spreading coronavirus has led to a...</td>\n",
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+       "      <td>1.483876e+07</td>\n",
+       "      <td>heralddispatch</td>\n",
+       "      <td>The Herald-Dispatch</td>\n",
+       "      <td>https://twitter.com/heralddispatch/status/1233...</td>\n",
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+       "      <td>[]</td>\n",
+       "      <td>1.102966e+18</td>\n",
+       "      <td>wildgooseLIVE</td>\n",
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+       "      <td>10 Best N95 Respirator Masks For Coronavirus  ...</td>\n",
+       "      <td>['#top10', '#10bestn95respiratormasksforcorona...</td>\n",
+       "      <td>1.156277e+09</td>\n",
+       "      <td>WonderfulEngr</td>\n",
+       "      <td>WonderfulEngineering</td>\n",
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+       "      <td>False</td>\n",
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+       "      <td>[{'user_id': '1156277311', 'username': 'Wonder...</td>\n",
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+       "    <tr>\n",
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+       "      <td>1233617899782201349</td>\n",
+       "      <td>1.233618e+18</td>\n",
+       "      <td>1582952401000</td>\n",
+       "      <td>2020-02-29</td>\n",
+       "      <td>Grateful to be back home for a while after thr...</td>\n",
+       "      <td>['#coronavirus']</td>\n",
+       "      <td>1.022851e+07</td>\n",
+       "      <td>slhzdh</td>\n",
+       "      <td>Kian Salehizadeh</td>\n",
+       "      <td>https://twitter.com/slhzdh/status/123361789978...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>8</td>\n",
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+       "      <td>[{'user_id': '10228512', 'username': 'slhzdh'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>584154</th>\n",
+       "      <td>1233617894375735297</td>\n",
+       "      <td>1.233618e+18</td>\n",
+       "      <td>1582952400000</td>\n",
+       "      <td>2020-02-29</td>\n",
+       "      <td>HAPPENING NOW:  Our @A_AbdoolKarim is live on ...</td>\n",
+       "      <td>['#coronavirusoutbreak', '#covid19']</td>\n",
+       "      <td>1.288181e+09</td>\n",
+       "      <td>Bhekisisa_MG</td>\n",
+       "      <td>Bhekisisa</td>\n",
+       "      <td>https://twitter.com/Bhekisisa_MG/status/123361...</td>\n",
+       "      <td>False</td>\n",
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+       "      <td>[{'user_id': '1288180873', 'username': 'Bhekis...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>104519 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                         id  conversation_id     created_at        date  \\\n",
+       "0       1223757879305367552     1.223758e+18  1580601589000  2020-02-01   \n",
+       "1       1223757878827159552     1.223758e+18  1580601589000  2020-02-01   \n",
+       "3       1223757866911326209     1.223758e+18  1580601586000  2020-02-01   \n",
+       "11      1223757792244191232     1.223758e+18  1580601568000  2020-02-01   \n",
+       "22      1223757736166318082     1.223758e+18  1580601555000  2020-02-01   \n",
+       "...                     ...              ...            ...         ...   \n",
+       "584144  1233617929327063040     1.233618e+18  1582952408000  2020-02-29   \n",
+       "584146  1233617923480133633     1.233617e+18  1582952407000  2020-02-29   \n",
+       "584149  1233617915003404288     1.233618e+18  1582952405000  2020-02-29   \n",
+       "584151  1233617899782201349     1.233618e+18  1582952401000  2020-02-29   \n",
+       "584154  1233617894375735297     1.233618e+18  1582952400000  2020-02-29   \n",
+       "\n",
+       "                                                    tweet  \\\n",
+       "0       Bought Bruno Fernandes, play him at CDM? Wtf a...   \n",
+       "1       My sister sent me $90 worth of face masks and ...   \n",
+       "3       When you were a mask to stop the cronavirus bu...   \n",
+       "11      this girl is deadass bragging about \"wearing m...   \n",
+       "22      Sister is determined to infect me. Emerged fro...   \n",
+       "...                                                   ...   \n",
+       "584144  Fear of the spreading coronavirus has led to a...   \n",
+       "584146  I was at a medical facility a couple year back...   \n",
+       "584149  10 Best N95 Respirator Masks For Coronavirus  ...   \n",
+       "584151  Grateful to be back home for a while after thr...   \n",
+       "584154  HAPPENING NOW:  Our @A_AbdoolKarim is live on ...   \n",
+       "\n",
+       "                                                 hashtags       user_id  \\\n",
+       "0                                                      []  2.221553e+09   \n",
+       "1                                                      []  3.075768e+09   \n",
+       "3                                                      []  1.209989e+18   \n",
+       "11                                                     []  3.156025e+09   \n",
+       "22                                                     []  1.583843e+07   \n",
+       "...                                                   ...           ...   \n",
+       "584144                                                 []  1.483876e+07   \n",
+       "584146                                                 []  1.102966e+18   \n",
+       "584149  ['#top10', '#10bestn95respiratormasksforcorona...  1.156277e+09   \n",
+       "584151                                   ['#coronavirus']  1.022851e+07   \n",
+       "584154               ['#coronavirusoutbreak', '#covid19']  1.288181e+09   \n",
+       "\n",
+       "              username                  name  \\\n",
+       "0           chong_wh96              Chong_wH   \n",
+       "1            Yamanik30                  ACAB   \n",
+       "3        Harry31348302                 Harry   \n",
+       "11          JaceLucena                 katka   \n",
+       "22          nyman11209             Hobonator   \n",
+       "...                ...                   ...   \n",
+       "584144  heralddispatch   The Herald-Dispatch   \n",
+       "584146   wildgooseLIVE             wildgoose   \n",
+       "584149   WonderfulEngr  WonderfulEngineering   \n",
+       "584151          slhzdh      Kian Salehizadeh   \n",
+       "584154    Bhekisisa_MG             Bhekisisa   \n",
+       "\n",
+       "                                                     link retweet nlikes  \\\n",
+       "0       https://twitter.com/chong_wh96/status/12237578...   False      0   \n",
+       "1       https://twitter.com/Yamanik30/status/122375787...   False      6   \n",
+       "3       https://twitter.com/Harry31348302/status/12237...   False      0   \n",
+       "11      https://twitter.com/JaceLucena/status/12237577...   False      9   \n",
+       "22      https://twitter.com/nyman11209/status/12237577...   False      1   \n",
+       "...                                                   ...     ...    ...   \n",
+       "584144  https://twitter.com/heralddispatch/status/1233...   False      0   \n",
+       "584146  https://twitter.com/wildgooseLIVE/status/12336...   False      0   \n",
+       "584149  https://twitter.com/WonderfulEngr/status/12336...   False      0   \n",
+       "584151  https://twitter.com/slhzdh/status/123361789978...   False      8   \n",
+       "584154  https://twitter.com/Bhekisisa_MG/status/123361...   False      1   \n",
+       "\n",
+       "        nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0            0.0        0.0       NaN         NaN   \n",
+       "1            0.0        0.0       NaN         NaN   \n",
+       "3            0.0        0.0       NaN         NaN   \n",
+       "11           0.0        1.0       NaN         NaN   \n",
+       "22           0.0        0.0       NaN         NaN   \n",
+       "...          ...        ...       ...         ...   \n",
+       "584144       0.0        0.0       NaN         NaN   \n",
+       "584146       0.0        0.0       NaN         NaN   \n",
+       "584149       0.0        0.0       NaN         NaN   \n",
+       "584151       0.0        0.0       NaN         NaN   \n",
+       "584154       0.0        0.0       NaN         NaN   \n",
+       "\n",
+       "                                                 reply_to  \n",
+       "0       [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1       [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "3       [{'user_id': '1209988745790918656', 'username'...  \n",
+       "11      [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
+       "22      [{'user_id': '15838427', 'username': 'nyman112...  \n",
+       "...                                                   ...  \n",
+       "584144  [{'user_id': '14838763', 'username': 'heralddi...  \n",
+       "584146  [{'user_id': '1102965924020264962', 'username'...  \n",
+       "584149  [{'user_id': '1156277311', 'username': 'Wonder...  \n",
+       "584151    [{'user_id': '10228512', 'username': 'slhzdh'}]  \n",
+       "584154  [{'user_id': '1288180873', 'username': 'Bhekis...  \n",
+       "\n",
+       "[104519 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "feb_clean[feb_clean['tweet'].str.contains(filt)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1234267136018665472</td>\n",
+       "      <td>1.234259e+18</td>\n",
+       "      <td>1583107191000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>The new police issue masks might not prevent c...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.931759e+09</td>\n",
+       "      <td>hueman_being</td>\n",
+       "      <td>Ken Parker</td>\n",
+       "      <td>https://twitter.com/hueman_being/status/123426...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3931759154', 'username': 'hueman...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1234267074568097792</td>\n",
+       "      <td>1.233863e+18</td>\n",
+       "      <td>1583107176000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Those *who are with the virus* should wear a m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.087783e+07</td>\n",
+       "      <td>danimadu</td>\n",
+       "      <td>manequim da guarita da PF</td>\n",
+       "      <td>https://twitter.com/danimadu/status/1234267074...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '20877834', 'username': 'danimadu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>1234267018238611461</td>\n",
+       "      <td>1.234267e+18</td>\n",
+       "      <td>1583107163000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>… I guess Nancy can put in masks for everyone ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.846698e+09</td>\n",
+       "      <td>We4EverOvercome</td>\n",
+       "      <td>Not Worthy Of Anything Remarkable</td>\n",
+       "      <td>https://twitter.com/We4EverOvercome/status/123...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2846698472', 'username': 'We4Eve...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1234266976853405697</td>\n",
+       "      <td>1.234267e+18</td>\n",
+       "      <td>1583107153000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Washing your hands and disinfecting your elect...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.756134e+09</td>\n",
+       "      <td>monicam_mendez</td>\n",
+       "      <td>𝑴𝒐𝒏𝒊𝒄𝒂 𝑴𝒆𝒏𝒅𝒆𝒛 🌙</td>\n",
+       "      <td>https://twitter.com/monicam_mendez/status/1234...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/Pog_llins/status/123386973...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2756133519', 'username': 'monica...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>1234266921521934336</td>\n",
+       "      <td>1.234267e+18</td>\n",
+       "      <td>1583107140000</td>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Americans worried about coronavirus don't need...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.161490e+09</td>\n",
+       "      <td>gtj654</td>\n",
+       "      <td>Guy Johnson</td>\n",
+       "      <td>https://twitter.com/gtj654/status/123426692152...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3161490206', 'username': 'gtj654'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>736981</th>\n",
+       "      <td>1239401044175540224</td>\n",
+       "      <td>1.239401e+18</td>\n",
+       "      <td>1584331210000</td>\n",
+       "      <td>2020-03-16</td>\n",
+       "      <td>corona virus finally giving me a reason to dro...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.589109e+09</td>\n",
+       "      <td>jonwadec</td>\n",
+       "      <td>jon</td>\n",
+       "      <td>https://twitter.com/jonwadec/status/1239401044...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2589108997', 'username': 'jonwad...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>736984</th>\n",
+       "      <td>1239401022486982656</td>\n",
+       "      <td>1.239401e+18</td>\n",
+       "      <td>1584331205000</td>\n",
+       "      <td>2020-03-16</td>\n",
+       "      <td>2 questions: \\n\\nIs this a good time to finish...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4.880158e+09</td>\n",
+       "      <td>70bpmhiccups</td>\n",
+       "      <td>Joe Seatter</td>\n",
+       "      <td>https://twitter.com/70bpmhiccups/status/123940...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '4880157513', 'username': '70bpmh...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>736985</th>\n",
+       "      <td>1239401020725309440</td>\n",
+       "      <td>1.239347e+18</td>\n",
+       "      <td>1584331204000</td>\n",
+       "      <td>2020-03-16</td>\n",
+       "      <td>The CDC says masks don't work. The virus is to...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.377558e+09</td>\n",
+       "      <td>GunSensePA</td>\n",
+       "      <td>Gun Sense PA</td>\n",
+       "      <td>https://twitter.com/GunSensePA/status/12394010...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3377557565', 'username': 'GunSen...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>736986</th>\n",
+       "      <td>1239401009228607488</td>\n",
+       "      <td>1.239401e+18</td>\n",
+       "      <td>1584331202000</td>\n",
+       "      <td>2020-03-16</td>\n",
+       "      <td>Those who have hoarded alcohol, masks, disinfe...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.664186e+08</td>\n",
+       "      <td>maricapz</td>\n",
+       "      <td>Marie Capanzana</td>\n",
+       "      <td>https://twitter.com/maricapz/status/1239401009...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '266418579', 'username': 'maricap...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>736987</th>\n",
+       "      <td>1239401007572029440</td>\n",
+       "      <td>1.239401e+18</td>\n",
+       "      <td>1584331201000</td>\n",
+       "      <td>2020-03-16</td>\n",
+       "      <td>Doctor Oz said people are wearing surgical mas...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.543078e+07</td>\n",
+       "      <td>jasdagod_</td>\n",
+       "      <td>JAS DA GOD</td>\n",
+       "      <td>https://twitter.com/jasdagod_/status/123940100...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '25430780', 'username': 'jasdagod...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>188691 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                         id  conversation_id     created_at        date  \\\n",
+       "3       1234267136018665472     1.234259e+18  1583107191000  2020-03-01   \n",
+       "11      1234267074568097792     1.233863e+18  1583107176000  2020-03-01   \n",
+       "15      1234267018238611461     1.234267e+18  1583107163000  2020-03-01   \n",
+       "23      1234266976853405697     1.234267e+18  1583107153000  2020-03-01   \n",
+       "27      1234266921521934336     1.234267e+18  1583107140000  2020-03-01   \n",
+       "...                     ...              ...            ...         ...   \n",
+       "736981  1239401044175540224     1.239401e+18  1584331210000  2020-03-16   \n",
+       "736984  1239401022486982656     1.239401e+18  1584331205000  2020-03-16   \n",
+       "736985  1239401020725309440     1.239347e+18  1584331204000  2020-03-16   \n",
+       "736986  1239401009228607488     1.239401e+18  1584331202000  2020-03-16   \n",
+       "736987  1239401007572029440     1.239401e+18  1584331201000  2020-03-16   \n",
+       "\n",
+       "                                                    tweet hashtags  \\\n",
+       "3       The new police issue masks might not prevent c...       []   \n",
+       "11      Those *who are with the virus* should wear a m...       []   \n",
+       "15      … I guess Nancy can put in masks for everyone ...       []   \n",
+       "23      Washing your hands and disinfecting your elect...       []   \n",
+       "27      Americans worried about coronavirus don't need...       []   \n",
+       "...                                                   ...      ...   \n",
+       "736981  corona virus finally giving me a reason to dro...       []   \n",
+       "736984  2 questions: \\n\\nIs this a good time to finish...       []   \n",
+       "736985  The CDC says masks don't work. The virus is to...       []   \n",
+       "736986  Those who have hoarded alcohol, masks, disinfe...       []   \n",
+       "736987  Doctor Oz said people are wearing surgical mas...       []   \n",
+       "\n",
+       "             user_id         username                               name  \\\n",
+       "3       3.931759e+09     hueman_being                         Ken Parker   \n",
+       "11      2.087783e+07         danimadu          manequim da guarita da PF   \n",
+       "15      2.846698e+09  We4EverOvercome  Not Worthy Of Anything Remarkable   \n",
+       "23      2.756134e+09   monicam_mendez                    𝑴𝒐𝒏𝒊𝒄𝒂 𝑴𝒆𝒏𝒅𝒆𝒛 🌙   \n",
+       "27      3.161490e+09           gtj654                        Guy Johnson   \n",
+       "...              ...              ...                                ...   \n",
+       "736981  2.589109e+09         jonwadec                                jon   \n",
+       "736984  4.880158e+09     70bpmhiccups                        Joe Seatter   \n",
+       "736985  3.377558e+09       GunSensePA                       Gun Sense PA   \n",
+       "736986  2.664186e+08         maricapz                    Marie Capanzana   \n",
+       "736987  2.543078e+07        jasdagod_                         JAS DA GOD   \n",
+       "\n",
+       "                                                     link retweet nlikes  \\\n",
+       "3       https://twitter.com/hueman_being/status/123426...   False      0   \n",
+       "11      https://twitter.com/danimadu/status/1234267074...   False      0   \n",
+       "15      https://twitter.com/We4EverOvercome/status/123...   False      0   \n",
+       "23      https://twitter.com/monicam_mendez/status/1234...   False      6   \n",
+       "27      https://twitter.com/gtj654/status/123426692152...   False      1   \n",
+       "...                                                   ...     ...    ...   \n",
+       "736981  https://twitter.com/jonwadec/status/1239401044...   False      8   \n",
+       "736984  https://twitter.com/70bpmhiccups/status/123940...   False      1   \n",
+       "736985  https://twitter.com/GunSensePA/status/12394010...   False      1   \n",
+       "736986  https://twitter.com/maricapz/status/1239401009...   False      0   \n",
+       "736987  https://twitter.com/jasdagod_/status/123940100...   False      0   \n",
+       "\n",
+       "        nreplies  nretweets  \\\n",
+       "3            0.0        0.0   \n",
+       "11           0.0        0.0   \n",
+       "15           0.0        0.0   \n",
+       "23           0.0        1.0   \n",
+       "27           0.0        0.0   \n",
+       "...          ...        ...   \n",
+       "736981       1.0        0.0   \n",
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+       "736985       1.0        0.0   \n",
+       "736986       0.0        0.0   \n",
+       "736987       0.0        0.0   \n",
+       "\n",
+       "                                                quote_url  retweet_id  \\\n",
+       "3                                                     NaN         NaN   \n",
+       "11                                                    NaN         NaN   \n",
+       "15                                                    NaN         NaN   \n",
+       "23      https://twitter.com/Pog_llins/status/123386973...         NaN   \n",
+       "27                                                    NaN         NaN   \n",
+       "...                                                   ...         ...   \n",
+       "736981                                                NaN         NaN   \n",
+       "736984                                                NaN         NaN   \n",
+       "736985                                                NaN         NaN   \n",
+       "736986                                                NaN         NaN   \n",
+       "736987                                                NaN         NaN   \n",
+       "\n",
+       "                                                 reply_to  \n",
+       "3       [{'user_id': '3931759154', 'username': 'hueman...  \n",
+       "11      [{'user_id': '20877834', 'username': 'danimadu...  \n",
+       "15      [{'user_id': '2846698472', 'username': 'We4Eve...  \n",
+       "23      [{'user_id': '2756133519', 'username': 'monica...  \n",
+       "27      [{'user_id': '3161490206', 'username': 'gtj654'}]  \n",
+       "...                                                   ...  \n",
+       "736981  [{'user_id': '2589108997', 'username': 'jonwad...  \n",
+       "736984  [{'user_id': '4880157513', 'username': '70bpmh...  \n",
+       "736985  [{'user_id': '3377557565', 'username': 'GunSen...  \n",
+       "736986  [{'user_id': '266418579', 'username': 'maricap...  \n",
+       "736987  [{'user_id': '25430780', 'username': 'jasdagod...  \n",
+       "\n",
+       "[188691 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 176,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "mar01_clean[mar01_clean['tweet'].str.contains(filt)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"“Doctor's advice about coronavirus:\\n\\n1. It is pretty large in size (cell is about 400-500nm diameter), so any normal mask (not just the  N95 feature) should be able to filter it out.” 1/10\""
+      ]
+     },
+     "execution_count": 153,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean[jan_clean['tweet'].str.contains('corona')].loc[476743]['tweet']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "' http://www.nicovideo.jp/watch/nm11194952\\xa0…\\u3000Hey Pachuco! / The Mask'"
+      ]
+     },
+     "execution_count": 143,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean.loc[62841]['tweet']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-01-01      92\n",
+       "2020-01-02     157\n",
+       "2020-01-03     158\n",
+       "2020-01-04     157\n",
+       "2020-01-05     177\n",
+       "2020-01-06     200\n",
+       "2020-01-07     166\n",
+       "2020-01-08     176\n",
+       "2020-01-09     183\n",
+       "2020-01-10     168\n",
+       "2020-01-11     127\n",
+       "2020-01-12     220\n",
+       "2020-01-13     180\n",
+       "2020-01-14     195\n",
+       "2020-01-15     190\n",
+       "2020-01-16     150\n",
+       "2020-01-17     162\n",
+       "2020-01-18     124\n",
+       "2020-01-19     115\n",
+       "2020-01-20     353\n",
+       "2020-01-21     739\n",
+       "2020-01-22    1209\n",
+       "2020-01-23    2112\n",
+       "2020-01-24    2441\n",
+       "2020-01-25    3418\n",
+       "2020-01-26    4001\n",
+       "2020-01-27    4069\n",
+       "2020-01-28    5240\n",
+       "2020-01-29    5453\n",
+       "2020-01-30    8472\n",
+       "2020-01-31    7551\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean[jan_clean['tweet'].str.contains(filt)].groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-02-01     4190\n",
+       "2020-02-02     4018\n",
+       "2020-02-03     3183\n",
+       "2020-02-04     3075\n",
+       "2020-02-05     2384\n",
+       "2020-02-06     2778\n",
+       "2020-02-07     3355\n",
+       "2020-02-08     2444\n",
+       "2020-02-09     2033\n",
+       "2020-02-10     2546\n",
+       "2020-02-11     2226\n",
+       "2020-02-12     1943\n",
+       "2020-02-13     2196\n",
+       "2020-02-14     2087\n",
+       "2020-02-15     1484\n",
+       "2020-02-16     1812\n",
+       "2020-02-17     7299\n",
+       "2020-02-18     1645\n",
+       "2020-02-19     1516\n",
+       "2020-02-20     1426\n",
+       "2020-02-21     1824\n",
+       "2020-02-22     1627\n",
+       "2020-02-23     2075\n",
+       "2020-02-24     3055\n",
+       "2020-02-25     4286\n",
+       "2020-02-26     7537\n",
+       "2020-02-27    10243\n",
+       "2020-02-28    11019\n",
+       "2020-02-29     9213\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 181,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_clean[feb_clean['tweet'].str.contains(filt)].groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-03-01     8592\n",
+       "2020-03-02    10787\n",
+       "2020-03-03     9132\n",
+       "2020-03-04    11386\n",
+       "2020-03-05    11790\n",
+       "2020-03-06     8916\n",
+       "2020-03-07     8141\n",
+       "2020-03-08     6661\n",
+       "2020-03-09     9877\n",
+       "2020-03-10     9360\n",
+       "2020-03-11    18298\n",
+       "2020-03-12    14898\n",
+       "2020-03-13    16256\n",
+       "2020-03-14    14777\n",
+       "2020-03-15    13820\n",
+       "2020-03-16    16000\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 182,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar01_clean[mar01_clean['tweet'].str.contains(filt)].groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Pair Down to 5k Tweets per Day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 463,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((450464, 17), (536865, 17), (830073, 17), (297785, 17))"
+      ]
+     },
+     "execution_count": 463,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_clean = pd.read_csv('Datasets/jan_tweets_clean.csv', index_col=0)\n",
+    "feb_clean = pd.read_csv('Datasets/feb_tweets_clean.csv', index_col=0)\n",
+    "mar_clean_10k_from_17th = pd.read_csv('Datasets/mar_tweets_clean_10k_from_17th.csv', index_col=0)\n",
+    "apr_clean_10k = pd.read_csv('Datasets/apr_tweets_clean_10k.csv', index_col=0)\n",
+    "\n",
+    "jan_clean.shape, feb_clean.shape, mar_clean_10k_from_17th.shape, apr_clean_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 464,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((40724, 17), (78094, 17), (152131, 17), (150000, 17))"
+      ]
+     },
+     "execution_count": 464,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "\n",
+    "jan_5k = jan_clean[jan_clean['tweet'].str.contains(filt)].groupby('date').head(5000)\n",
+    "jan_5k.reset_index(drop=True, inplace=True)\n",
+    "\n",
+    "feb_5k = feb_clean[feb_clean['tweet'].str.contains(filt)].groupby('date').head(5000)\n",
+    "feb_5k.reset_index(drop=True, inplace=True)\n",
+    "\n",
+    "mar_5k = mar_clean_10k_from_17th[mar_clean_10k_from_17th['tweet'].str.contains(filt)].groupby('date').head(5000)\n",
+    "mar_5k.reset_index(drop=True, inplace=True)\n",
+    "\n",
+    "apr_5k = apr_clean_10k[apr_clean_10k['tweet'].str.contains(filt)].groupby('date').head(5000)\n",
+    "apr_5k.reset_index(drop=True, inplace=True)\n",
+    "\n",
+    "jan_5k.shape, feb_5k.shape, mar_5k.shape, apr_5k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 465,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-01-01      91\n",
+       "2020-01-02     157\n",
+       "2020-01-03     156\n",
+       "2020-01-04     155\n",
+       "2020-01-05     174\n",
+       "2020-01-06     192\n",
+       "2020-01-07     164\n",
+       "2020-01-08     168\n",
+       "2020-01-09     178\n",
+       "2020-01-10     163\n",
+       "2020-01-11     120\n",
+       "2020-01-12     215\n",
+       "2020-01-13     175\n",
+       "2020-01-14     192\n",
+       "2020-01-15     188\n",
+       "2020-01-16     144\n",
+       "2020-01-17     156\n",
+       "2020-01-18     124\n",
+       "2020-01-19     110\n",
+       "2020-01-20     347\n",
+       "2020-01-21     725\n",
+       "2020-01-22    1183\n",
+       "2020-01-23    1985\n",
+       "2020-01-24    2331\n",
+       "2020-01-25    3324\n",
+       "2020-01-26    3879\n",
+       "2020-01-27    3928\n",
+       "2020-01-28    5000\n",
+       "2020-01-29    5000\n",
+       "2020-01-30    5000\n",
+       "2020-01-31    5000\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 465,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_5k[jan_5k.tweet.str.contains(filt)].groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 466,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-02-01    4057\n",
+       "2020-02-02    3792\n",
+       "2020-02-03    3080\n",
+       "2020-02-04    2960\n",
+       "2020-02-05    2309\n",
+       "2020-02-06    2614\n",
+       "2020-02-07    3202\n",
+       "2020-02-08    2322\n",
+       "2020-02-09    1914\n",
+       "2020-02-10    2450\n",
+       "2020-02-11    2131\n",
+       "2020-02-12    1875\n",
+       "2020-02-13    2135\n",
+       "2020-02-14    1948\n",
+       "2020-02-15    1398\n",
+       "2020-02-16    1719\n",
+       "2020-02-17    1540\n",
+       "2020-02-18    1536\n",
+       "2020-02-19    1415\n",
+       "2020-02-20    1349\n",
+       "2020-02-21    1760\n",
+       "2020-02-22    1563\n",
+       "2020-02-23    1993\n",
+       "2020-02-24    2877\n",
+       "2020-02-25    4155\n",
+       "2020-02-26    5000\n",
+       "2020-02-27    5000\n",
+       "2020-02-28    5000\n",
+       "2020-02-29    5000\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 466,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feb_5k[feb_5k.tweet.str.contains(filt)].groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 467,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-03-01    5000\n",
+       "2020-03-02    5000\n",
+       "2020-03-03    5000\n",
+       "2020-03-04    5000\n",
+       "2020-03-05    5000\n",
+       "2020-03-06    5000\n",
+       "2020-03-07    5000\n",
+       "2020-03-08    5000\n",
+       "2020-03-09    5000\n",
+       "2020-03-10    5000\n",
+       "2020-03-11    5000\n",
+       "2020-03-12    5000\n",
+       "2020-03-13    5000\n",
+       "2020-03-14    5000\n",
+       "2020-03-15    5000\n",
+       "2020-03-16    5000\n",
+       "2020-03-17    5000\n",
+       "2020-03-18    5000\n",
+       "2020-03-19    5000\n",
+       "2020-03-20    5000\n",
+       "2020-03-21    5000\n",
+       "2020-03-22    5000\n",
+       "2020-03-23    5000\n",
+       "2020-03-24    5000\n",
+       "2020-03-25    5000\n",
+       "2020-03-26    5000\n",
+       "2020-03-27    5000\n",
+       "2020-03-28    2131\n",
+       "2020-03-29    5000\n",
+       "2020-03-30    5000\n",
+       "2020-03-31    5000\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 467,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar_5k[mar_5k.tweet.str.contains(filt)].groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3441, 17)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar28_10k = pd.read_csv('10k_Datasets/10k_march28_tweets.csv', index_col=0)\n",
+    "mar28_10k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Not wearing masks to protect against coronavirus is a ‘big mistake,’ top Chinese scientist says  https://www.sciencemag.org/news/2020/03/not-wearing-masks-protect-against-coronavirus-big-mistake-top-chinese-scientist-says …                                                                              39\n",
+       "Not wearing masks to protect against coronavirus is a ‘big mistake,’ top Chinese scientist says | Science | AAAS  https://www.sciencemag.org/news/2020/03/not-wearing-masks-protect-against-coronavirus-big-mistake-top-chinese-scientist-says …                                                             16\n",
+       "Future's foundation is making masks for healthcare workers and patients affected by COVID-19   https://twitter.com/i/events/1243942042054475776 …                                                                                                                                                             9\n",
+       "Experts say face masks can help slow COVID-19, despite previous claims  https://nypost.com/2020/03/28/experts-say-face-masks-can-help-slow-covid-19-despite-previous-claims/?utm_source=twitter_sitebuttons&utm_medium=site%20buttons&utm_campaign=site%20buttons … via @nypost                               8\n",
+       "1) Follow @Mimosamania on here & IG. \\n\\n2 A) For the Nike gift card: do the savage challenge dance on live with mimosamania \\n\\n2 B) For the corona mask: do the Southside on live with mimosamania. \\n\\n2 C) For the custom dyed Nike socks: do the dougie on live with mimosamania.                        8\n",
+       "                                                                                                                                                                                                                                                                                                             ..\n",
+       "@NYGovCuomo STOP THE DROP! Mr. governor. Mandatory mask will significantly reduce the spread of Coronavirus. Sick people without symptoms won’t be able to spread droplets and healthy people won’t inhale droplets. This is the only way to combat the spread. We need to stop the drop                      1\n",
+       "Keeping Covid-19 deaths below 20,000 would be a good result, says NHS medical director Stephen Powis who says 170million masks, 25million gloves and 30million aprons have been delivered to = 20000 might die? Not good enough the people need more info.                                                    1\n",
+       "@realDonaldTrump why is the American Red Cross asking Americans to donate blood during this COVID-19 pandemic? We have been forced to self-quarantine, leave our jobs, laid off, no school, wear masks, & fear stricken ppl demanding authoritarian totalitarian martial law.  pic.twitter.com/pUZDj25wXl     1\n",
+       "Saying \"N95 only\" also not quite accurate. Standard PPE in health care for covid is surgical mask(plus all other type of PPE). This is because droplet spread, not airborne.  Unless certain procedures and circumstances where might generate airborne.                                                      1\n",
+       "TAKE ACTION #COVID19: Do not buy PPE that you do not need. Medical professionals need those gloves & masks. Who needs PPE:\\n\\n- If you are healthy, you only need to wear a mask if you are taking care of a person with suspected COVID19.\\n- Wear a mask if you are coughing/sneezing.                      1\n",
+       "Name: tweet, Length: 3270, dtype: int64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mar28_10k['tweet'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 468,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-04-01    5000\n",
+       "2020-04-02    5000\n",
+       "2020-04-03    5000\n",
+       "2020-04-04    5000\n",
+       "2020-04-05    5000\n",
+       "2020-04-06    5000\n",
+       "2020-04-07    5000\n",
+       "2020-04-08    5000\n",
+       "2020-04-09    5000\n",
+       "2020-04-10    5000\n",
+       "2020-04-11    5000\n",
+       "2020-04-12    5000\n",
+       "2020-04-13    5000\n",
+       "2020-04-14    5000\n",
+       "2020-04-15    5000\n",
+       "2020-04-16    5000\n",
+       "2020-04-17    5000\n",
+       "2020-04-18    5000\n",
+       "2020-04-19    5000\n",
+       "2020-04-20    5000\n",
+       "2020-04-21    5000\n",
+       "2020-04-22    5000\n",
+       "2020-04-23    5000\n",
+       "2020-04-24    5000\n",
+       "2020-04-25    5000\n",
+       "2020-04-26    5000\n",
+       "2020-04-27    5000\n",
+       "2020-04-28    5000\n",
+       "2020-04-29    5000\n",
+       "2020-04-30    5000\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 468,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "apr_5k[apr_5k.tweet.str.contains(filt)].groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 444,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan_5k.to_csv('5k_Datasets/5k_jan_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 445,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "feb_5k.to_csv('5k_Datasets/5k_feb_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 446,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mar_5k.to_csv('5k_Datasets/5k_mar_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 469,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "apr_5k.to_csv('5k_Datasets/5k_apr_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Combine 5k/Day Tweet Dataframes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((40724, 17), (78094, 17), (152131, 17), (150000, 17), (155000, 15))"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jan_5k = pd.read_csv('5k_Datasets/5k_jan_tweets.csv', index_col=0)\n",
+    "\n",
+    "feb_5k = pd.read_csv('5k_Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "\n",
+    "mar_5k = pd.read_csv('5k_Datasets/5k_mar_tweets.csv', index_col=0)\n",
+    "\n",
+    "apr_5k = pd.read_csv('5k_Datasets/5k_apr_tweets.csv', index_col=0)\n",
+    "\n",
+    "may_5k = pd.read_csv('5k_Datasets/5k_may_tweets.csv', index_col=0)\n",
+    "\n",
+    "jan_5k.shape, feb_5k.shape, mar_5k.shape, apr_5k.shape, may_5k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.concat([jan_5k, feb_5k, mar_5k, apr_5k, may_5k])\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
+       "1  Ready to heard this? Homemade hair treatment a...   \n",
+       "2  We all know what a joke #CCPChina is when it c...   \n",
+       "3        Thought death masks gave you the horn freak   \n",
+       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name                                               link  \\\n",
+       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
+       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
+       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
+       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
+       "\n",
+       "   retweet  nlikes  nreplies  nretweets  \\\n",
+       "0    False     1.0       0.0        1.0   \n",
+       "1    False     0.0       0.0        0.0   \n",
+       "2    False     1.0       1.0        1.0   \n",
+       "3    False     0.0       0.0        0.0   \n",
+       "4    False     1.0       0.0        1.0   \n",
+       "\n",
+       "                                           quote_url  retweet_id  \\\n",
+       "0                                                NaN         NaN   \n",
+       "1                                                NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
+       "3                                                NaN         NaN   \n",
+       "4                                                NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '843195118924546048', 'username':...  \n",
+       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
+       "2  [{'user_id': '963032516759207936', 'username':...  \n",
+       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.reset_index(drop=True, inplace=True)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>575944</th>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.590909e+12</td>\n",
+       "      <td>2020-05-31</td>\n",
+       "      <td>Cuomo urges protesters to 'demonstrate with a ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.424594e+08</td>\n",
+       "      <td>chrisusanz</td>\n",
+       "      <td>Christopher</td>\n",
+       "      <td>https://twitter.com/chrisusanz/status/12669917...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '342459363', 'username': 'chrisus...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>575945</th>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.590909e+12</td>\n",
+       "      <td>2020-05-31</td>\n",
+       "      <td>Advantages of wearing face masks: \\n1. Haven’t...</td>\n",
+       "      <td>['#covid19', '#coronapandemic', '#sundayvibes']</td>\n",
+       "      <td>1.361908e+09</td>\n",
+       "      <td>HusaynZ</td>\n",
+       "      <td>Rogue Aviator 🇵🇰</td>\n",
+       "      <td>https://twitter.com/HusaynZ/status/12669916005...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1361908454', 'username': 'Husayn...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>575946</th>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.590909e+12</td>\n",
+       "      <td>2020-05-31</td>\n",
+       "      <td>The model of South Korea will have to be follo...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.223174e+09</td>\n",
+       "      <td>moussetafaa</td>\n",
+       "      <td>Mustafa</td>\n",
+       "      <td>https://twitter.com/moussetafaa/status/1266991...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3223174388', 'username': 'mousse...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>575947</th>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.266992e+18</td>\n",
+       "      <td>1.590909e+12</td>\n",
+       "      <td>2020-05-31</td>\n",
+       "      <td>Aeroflot: passengers must change face masks ev...</td>\n",
+       "      <td>['#aviation', '#airline', '#aircraft', '#covid...</td>\n",
+       "      <td>1.545939e+07</td>\n",
+       "      <td>SpeedBird_NCL</td>\n",
+       "      <td>SpeedBird</td>\n",
+       "      <td>https://twitter.com/SpeedBird_NCL/status/12669...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '15459391', 'username': 'SpeedBir...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>575948</th>\n",
+       "      <td>1.266991e+18</td>\n",
+       "      <td>1.266991e+18</td>\n",
+       "      <td>1.590909e+12</td>\n",
+       "      <td>2020-05-31</td>\n",
+       "      <td>Corona said mask on 2020 said fuck it mask off...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>7.181234e+17</td>\n",
+       "      <td>sharunbelll</td>\n",
+       "      <td>moona love ❣️</td>\n",
+       "      <td>https://twitter.com/sharunbelll/status/1266991...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '718123376804376576', 'username':...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  id  conversation_id    created_at        date  \\\n",
+       "575944  1.266992e+18     1.266992e+18  1.590909e+12  2020-05-31   \n",
+       "575945  1.266992e+18     1.266992e+18  1.590909e+12  2020-05-31   \n",
+       "575946  1.266992e+18     1.266992e+18  1.590909e+12  2020-05-31   \n",
+       "575947  1.266992e+18     1.266992e+18  1.590909e+12  2020-05-31   \n",
+       "575948  1.266991e+18     1.266991e+18  1.590909e+12  2020-05-31   \n",
+       "\n",
+       "                                                    tweet  \\\n",
+       "575944  Cuomo urges protesters to 'demonstrate with a ...   \n",
+       "575945  Advantages of wearing face masks: \\n1. Haven’t...   \n",
+       "575946  The model of South Korea will have to be follo...   \n",
+       "575947  Aeroflot: passengers must change face masks ev...   \n",
+       "575948  Corona said mask on 2020 said fuck it mask off...   \n",
+       "\n",
+       "                                                 hashtags       user_id  \\\n",
+       "575944                                                 []  3.424594e+08   \n",
+       "575945    ['#covid19', '#coronapandemic', '#sundayvibes']  1.361908e+09   \n",
+       "575946                                                 []  3.223174e+09   \n",
+       "575947  ['#aviation', '#airline', '#aircraft', '#covid...  1.545939e+07   \n",
+       "575948                                                 []  7.181234e+17   \n",
+       "\n",
+       "             username              name  \\\n",
+       "575944     chrisusanz       Christopher   \n",
+       "575945        HusaynZ  Rogue Aviator 🇵🇰   \n",
+       "575946    moussetafaa           Mustafa   \n",
+       "575947  SpeedBird_NCL         SpeedBird   \n",
+       "575948    sharunbelll     moona love ❣️   \n",
+       "\n",
+       "                                                     link  retweet  nlikes  \\\n",
+       "575944  https://twitter.com/chrisusanz/status/12669917...    False     0.0   \n",
+       "575945  https://twitter.com/HusaynZ/status/12669916005...    False    62.0   \n",
+       "575946  https://twitter.com/moussetafaa/status/1266991...    False     0.0   \n",
+       "575947  https://twitter.com/SpeedBird_NCL/status/12669...    False     1.0   \n",
+       "575948  https://twitter.com/sharunbelll/status/1266991...    False     1.0   \n",
+       "\n",
+       "        nreplies  nretweets quote_url  retweet_id  \\\n",
+       "575944       0.0        0.0       NaN         NaN   \n",
+       "575945      10.0       11.0       NaN         NaN   \n",
+       "575946       1.0        0.0       NaN         NaN   \n",
+       "575947       0.0        0.0       NaN         NaN   \n",
+       "575948       0.0        1.0       NaN         NaN   \n",
+       "\n",
+       "                                                 reply_to  \n",
+       "575944  [{'user_id': '342459363', 'username': 'chrisus...  \n",
+       "575945  [{'user_id': '1361908454', 'username': 'Husayn...  \n",
+       "575946  [{'user_id': '3223174388', 'username': 'mousse...  \n",
+       "575947  [{'user_id': '15459391', 'username': 'SpeedBir...  \n",
+       "575948  [{'user_id': '718123376804376576', 'username':...  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        2020-01-01\n",
+       "1        2020-01-01\n",
+       "2        2020-01-01\n",
+       "3        2020-01-01\n",
+       "4        2020-01-01\n",
+       "            ...    \n",
+       "575944   2020-05-31\n",
+       "575945   2020-05-31\n",
+       "575946   2020-05-31\n",
+       "575947   2020-05-31\n",
+       "575948   2020-05-31\n",
+       "Name: date, Length: 575949, dtype: datetime64[ns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['date'] = pd.to_datetime(df['date'], format='%Y-%m-%d')\n",
+    "df['date']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['date'][0].month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        2020-01-01\n",
+       "1        2020-01-01\n",
+       "2        2020-01-01\n",
+       "3        2020-01-01\n",
+       "4        2020-01-01\n",
+       "            ...    \n",
+       "575944   2020-05-31\n",
+       "575945   2020-05-31\n",
+       "575946   2020-05-31\n",
+       "575947   2020-05-31\n",
+       "575948   2020-05-31\n",
+       "Name: date, Length: 575949, dtype: datetime64[ns]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['date']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'Series' object has no attribute 'day'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m----------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-19-44e92f0ef768>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mday\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   5272\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5273\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5274\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   5275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5276\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'Series' object has no attribute 'day'"
+     ]
+    }
+   ],
+   "source": [
+    "df['date']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/eda_visualizations_notebook-Copy1.ipynb b/eda_visualizations_notebook-Copy1.ipynb
new file mode 100644
index 0000000..c56c80c
--- /dev/null
+++ b/eda_visualizations_notebook-Copy1.ipynb
@@ -0,0 +1,779 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "import seaborn as sns; sns.set_style('ticks')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('max_colwidth', 250)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 19)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['date'] = pd.to_datetime(df['date'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>sentiment_score</th>\n",
+       "      <th>sentiment</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
+       "      <td>-0.8176</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut the fuck up  pic.twitter.com/YVsuQkk51k</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
+       "      <td>-0.8905</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #HK im sure the infected are amongst us already.\\nDear fellow #HKers, wear a mask😷its the least we can...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
+       "      <td>0.6705</td>\n",
+       "      <td>positive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
+       "      <td>-0.7783</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'TelegraphNews'}]</td>\n",
+       "      <td>-0.2960</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at       date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
+       "\n",
+       "                                                                                                                                                                                                                                                       tweet  \\\n",
+       "0                                                                                                                                                   https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1                                                                    Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut the fuck up  pic.twitter.com/YVsuQkk51k   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #HK im sure the infected are amongst us already.\\nDear fellow #HKers, wear a mask😷its the least we can...   \n",
+       "3                                                                                                                                                                                                                Thought death masks gave you the horn freak   \n",
+       "4                                                                                                                                   Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  retweet  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+       "\n",
+       "   nlikes  nreplies  nretweets  \\\n",
+       "0     1.0       0.0        1.0   \n",
+       "1     0.0       0.0        0.0   \n",
+       "2     1.0       1.0        1.0   \n",
+       "3     0.0       0.0        0.0   \n",
+       "4     1.0       0.0        1.0   \n",
+       "\n",
+       "                                                    quote_url  retweet_id  \\\n",
+       "0                                                         NaN         NaN   \n",
+       "1                                                         NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+       "3                                                         NaN         NaN   \n",
+       "4                                                         NaN         NaN   \n",
+       "\n",
+       "                                                                                                                                                    reply_to  \\\n",
+       "0                                                                                          [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+       "1                                                                                              [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+       "2                                                                                                [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+       "3                                     [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'TelegraphNews'}]   \n",
+       "\n",
+       "   sentiment_score sentiment  \n",
+       "0          -0.8176  negative  \n",
+       "1          -0.8905  negative  \n",
+       "2           0.6705  positive  \n",
+       "3          -0.7783  negative  \n",
+       "4          -0.2960  negative  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
+       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
+       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
+       "       'sentiment'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>sentiment</th>\n",
+       "      <th>negative</th>\n",
+       "      <th>neutral</th>\n",
+       "      <th>positive</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.054945</td>\n",
+       "      <td>0.252747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>0.566879</td>\n",
+       "      <td>0.089172</td>\n",
+       "      <td>0.343949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.602564</td>\n",
+       "      <td>0.108974</td>\n",
+       "      <td>0.288462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.587097</td>\n",
+       "      <td>0.083871</td>\n",
+       "      <td>0.329032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.097701</td>\n",
+       "      <td>0.402299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>0.425400</td>\n",
+       "      <td>0.180400</td>\n",
+       "      <td>0.394200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>0.421400</td>\n",
+       "      <td>0.177800</td>\n",
+       "      <td>0.400800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>0.395200</td>\n",
+       "      <td>0.148600</td>\n",
+       "      <td>0.456200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>0.431400</td>\n",
+       "      <td>0.149000</td>\n",
+       "      <td>0.419600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>0.431200</td>\n",
+       "      <td>0.141600</td>\n",
+       "      <td>0.427200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>152 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "sentiment   negative   neutral  positive\n",
+       "date                                    \n",
+       "2020-01-01  0.692308  0.054945  0.252747\n",
+       "2020-01-02  0.566879  0.089172  0.343949\n",
+       "2020-01-03  0.602564  0.108974  0.288462\n",
+       "2020-01-04  0.587097  0.083871  0.329032\n",
+       "2020-01-05  0.500000  0.097701  0.402299\n",
+       "...              ...       ...       ...\n",
+       "2020-05-27  0.425400  0.180400  0.394200\n",
+       "2020-05-28  0.421400  0.177800  0.400800\n",
+       "2020-05-29  0.395200  0.148600  0.456200\n",
+       "2020-05-30  0.431400  0.149000  0.419600\n",
+       "2020-05-31  0.431200  0.141600  0.427200\n",
+       "\n",
+       "[152 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Proportion of sentiments by day\n",
+    "df.groupby('date')['sentiment'].value_counts(normalize=True).unstack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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AAAAAAABgWIRfBaRnz54KDAzU/PnzHV0KUGJs3rxZgYGB+frzT9+bgYGBqlGjRgFXDhRf8+fPt71vmjVrpqysrBv2j4mJsfV/4403iqhKAAcPHrS996ZMmeLocgBD4BoIGJezowsAgNtlsVjUsmXLG/bx9fUtomoA4zh79qy2bt2q+vXr59nnxx9/LMKKAGTL/qWOm5ub5syZo969e8tkMjm4KsA4uAYCxkL4BeCOV7ZsWY0bN87RZQCGUqZMGV28eFExMTF5/sc/OTlZ69atk4uLizIyMoq4QqDkyszM1KJFi3TPPfeofv36Wrx4sTZt2qSmTZs6ujTAELgGAsbDbY8AACCXZs2ayc3NTcuXL5fVarXbZ82aNUpJSVFISEgRVweUbGvXrtW5c+fUpEkTtWvXTpIUHR3t4KoA4+AaCBgP4VchSklJ0Zdffqlu3bqpfv36Cg4OVtOmTfXSSy9p165dOfpm7100duxYHTp0SC+++KIaNGigWrVqL6/YqgAAHBVJREFU6V//+pdWrlzpoFkAxnPkyBENHjxYzZo1U3BwsMLCwjR69GidO3cuzzEJCQkaMmSIGjZsqNq1a6tnz55at25dEVYNFC2LxaLQ0FDFx8dr+/btdvv8+OOPslgsatGiRa62zMxMzZ49Wz179lTDhg0VFBSkhg0b6rnnntOGDRty9L3+GvjVV1+pUaNGevjhh/XCCy8UxtSAO94PP/wgSWrTpo1CQ0Pl5eWlVatW6ezZs7n6hoWFqV69ekpOTtbIkSPVpEkT1a5dW127dtWSJUty9c/ex/bQoUOKiIhQcHCwQkNDc71vASMrqmtgQkKCgoKCVLt2baWkpOQ6T0ZGhho3bqzatWsrOTm5wOYHlESEX4UkNTVVERER+vDDDxUfH6969eqpadOmMplMWrFihZ5++mnt3r0717j9+/erW7du2r17t+rWravq1atr+/bt6tevn2JiYhwwE8BYNm7cqPDwcC1atEje3t4KCwuTq6urvv32W4WHh+uvv/7KNcZqtSoiIkIxMTGqXbu2atasqa1bt6pPnz6KiopywCyAopG9osTe9efy5ctav369wsLC5O7unqPNarWqX79+Gj58uA4dOqRatWqpefPm8vDw0MaNG9W7d2+7v9RZvXq1xo4dqwcffFDBwcHs1QfYkZiYqHXr1snb21vNmjWTi4uLOnTooMzMTM2bN8/umKysLP3f//2foqOjFRgYqLp162rfvn0aNGiQPv74Y7tjXnrpJf31119q0aKFzGYzD39BiVMU18Dy5csrJCREycnJdq+L69evV2Jiotq2bSuLxVIIswRKDsKvQjJz5kzt3btXbdq00apVq/T5559r8uTJWr16tdq0aaOMjAy7y9M3bdqktm3bauXKlfr88881f/589e3bV5I0bdq0op4GYCiJiYkaOHCgMjIy9Omnn2rhwoWaMGGCli1bpgEDBujUqVMaPHhwrnFZWVlKT0/X4sWL9cUXX+jrr7/WjBkz5Obmpvfff1+xsbEOmA1Q+Fq0aCF3d3ctX748V9vKlSuVnp5u++Hgej/99JPWrl2r2rVra+3atZoyZYomTZqkFStW6Nlnn5XVarUbHB8/flxDhw7VV199pZkzZ/LkLMCORYsWKSMjQx07dpSz87Xte8PDwyVJ33//vd2n0125ckV79+7Vt99+q6+++kpffvml5syZo7vuuktTpkzJdUeCdG3lytKlS/Xpp59q9erV8vb2LtyJAcVMUV0Dn3zySUnSwoULc50r+1jnzp0LalpAiUX4VUjc3d3VvHlzDRo0yPYfE0lydXVVly5dJEmnTp3KNc7NzU1vvfWW3NzcbMciIiIkSYcOHSrkqoE7U1xcnO0x0/b+bN68WZI0d+5cXbhwQT169FDr1q1t400mk/r27avg4GBt377d7vL2gQMHqkqVKrbPGzRooIiICKWnp+f5m3bgTle6dGmFhobq5MmTuX44XrZsmTw9PRUaGpprXFZWlsLCwvTaa6/l+I242WxW165dJUknT57MNc7V1VX/+te/cvQHkFP2Ux6z/z8pSUFBQXrggQcUFxenjRs32h3Xr18/1alTx/b5gw8+qH79+slqtdr9hWznzp3l6ekpifciSqaiugY2b95c3t7e2rRpkxISEmzHL1y4oNWrV6tKlSo3fOIkgPzhSlZIevTooSlTpsjPz8927OLFi9qyZYvWr18vSUpPT8817r777pOHh0eOY+XLl5fJZLJ7HziAa/syPP7443n+KV++vCTZQrCGDRvaPU+zZs0kSb///nuO405OTnZ/s/fII49IkrZs2VJgcwGKm+y/+z/99JPt2IULF/Tzzz+rVatWcnV1zTWmQ4cO+vzzz1WvXj3bseTkZO3atct2+4i9J2NVq1bN7vkAXLN3714dOHBAQUFBCggIyNGWvforr43vO3TokOtYy5YtJeW+7knSAw88cLvlAne8orgGuri4qGPHjrp69WqOffiWLl2qjIwMderUSSaTqcDnBpQ0zjfvgn/qzJkzioqK0ubNm3Xs2DElJSVJ0g3/8cr+Ddv1TCaTzGazrl69Wmi1AneysmXLaty4cTftl73aMvtW4pv1y1axYsUcKziz3XPPPZKuvdcBo7r+to/XX39dkrRixQplZGSoffv2eY67ePGiZs+erQ0bNujo0aO232bf6Bp41113FWzxgMFkr/pKSEhQz549c7RduXJF0rUnQcbHx6tixYq2NldXV9s163r33nuvJPvXMd6PQNFdA7t06aKvvvpKixYtUmRkpCRpwYIFMplM6tSpU8FOCiihCL8KWPY/aL/++qteeOEFpaSkyMfHRw0aNFC1atUUHBwsZ2fnPJ9gRaoPFJ7sALlly5Y33DT077/tvv42ZHtcXFxuvzigmLJYLGrevLliYmK0d+9eBQUFadmyZfLy8lKTJk3sjjl48KCeffZZJSYmqnz58nrooYdUvXp11ahRQ35+frYVKn/HrVVA3tLT022rQuLj4xUfH2+3X2ZmpubOnat+/frZjjk5Odnta7VaJdl/7/F/UqDoroEBAQF66KGHtHv3bh05ckROTk7auXOnGjRooMqVKxf2NIESgfDrFuzatUtTp05VYGCgXnrppRxt2UtXS5cuLavVqrffflspKSkaPXq07d7ubKtXry6ymgH8z913363jx4/r3//+d46l6Ddj79Hx0rW9xiTl+O06YERt27ZVTEyMli9fLh8fH/36668KDw+3uyJSkkaNGqXExET169dP/fv3z/FD9IEDB4qqbMBQVq1apaSkJDVu3FgzZsyw22fFihV66aWXNHfuXPXt29cWaqWkpOjixYsqU6ZMjv7Z+w5lrwADkFtRXQO7dOmi3bt3a/ny5bbA+vq9/QDcHn7FegvOnz+v5cuXa9u2bbnasn84vvvuu5WYmKi//vpLFSpUyBV8SdLPP/8sSXafxgOg8GQHXtn77v3dm2++qfDwcK1atSrH8cuXL2vnzp25+mfv25DXHmKAUTzyyCMqVaqUYmJitGrVKmVmZtrdBy9b9sbAL7zwQq7VI1wDgX/mhx9+kGR/765szZs3l5eXl06ePJnrWrdu3bpc/bOvd02bNi3ASgFjKapr4GOPPSY3NzetWLFCq1evlsViUZs2bQpwJkDJRvh1C2rVqiUXFxf9/vvvOnjwoO34unXrFBsbK09PTwUFBcnLy0vu7u5KSEjI8QOz1WrVvHnz9N1330mS0tLSinwOQEn21FNPqVSpUpo+fbpWrFiRo23+/Pn64YcfdPDgQdWqVSvX2GHDhikxMdH2+apVq/T999/Lw8Mjz1u4AKMoVaqUQkNDdezYMU2bNk0VKlS4YeibvbfQ34PktWvXauLEiZK4BgK34syZM9q4caNcXFz06KOP5tnP1dXV9kP57Nmzc7R99NFH+uuvv2yf7969W5999plcXFzUvXv3wikcMICiugaWKVNGrVu31t69e7Vjxw61bdv2htt0ALg13PZ4C7y8vPTvf/9bkydPVteuXdWwYUOlp6frt99+kyQNHjzYtvdPz549NXXqVEVERKhBgwayWCzat2+fYmNjVb169RwbHwIoGvfcc4/ee+89DR48WC+99JICAgLk7++vP//8UwcOHJDZbNYHH3xgezpktgoVKujSpUtq06aNGjRooKSkJG3ZskUuLi4aO3asvL29HTQjoOi0a9dOMTExOnr0qHr06HHD/bkiIyM1YsQIvfrqq5o5c6a8vb115MgRHT58WPfee69MJpMuXryo9PR0nu4I5MOCBQt09epVhYSE3HQj+ieeeELfffed1q9fr9OnT9uOW61WPf7442rUqJEyMjL066+/KisrSyNGjFDVqlULewrAHa2oroHh4eFasmSJrFarOnfuXNjTAkoUVn7dooEDB2r48OHy8/PTL7/8oj179qhu3bqaNGmSnnrqKVu/AQMGaOjQoapataq2bdumjRs3qnTp0howYIDmz5+vgIAAnTp1Svv373fgbICSp127dpozZ44ee+wxnT9/XmvWrLEFW3PmzLG7jN3Dw0NRUVFq1KiRfvnlF+3bt08hISGaNWuWWrVq5YBZAEWvRYsWtt9A3+gJV5LUvXt3ffDBB6pRo4b27duntWvXKisrS88//7wWLFighg0bKjMzM89bkAHklH3L483ee5JUu3Zt+fv76+rVq5ozZ47t+OTJk9W+fXtt375dO3fuVKNGjTRjxowc/38FYF9RXQMffvhhmc1mValSRfXr1y+UuQAllcma/ZgXAAAAAIYSFhamuLg4rVu3znY7FoDiacGCBRoyZIgGDBigvn37OrocwFBY+QUAAAAAgAOkpaXJarXqr7/+0sSJE+Xi4qInn3zS0WUBhsOeXwAAAAAAOMAPP/ygMWPG6P/bu9fYLMsDDuNXzwdahGoLRUqwFIxMcFOBGUedoBiY3eJGRBNlyBQKCoqTHZibhmRqouhQYWiRqdUOGNgwMYYNhHKwQ7Mia4ZBsTpIobWAWkpbaN+++2D6zNoWWwZjvly/hOTufX4evv1zv/fT1NREOBzmjjvuID09/UxvS4o4hl+SJEmSJJ0BOTk5JCYmkpSUxA033MA999xzprckRSTv/JIkSZIkSVLE8s4vSZIkSZIkRSzDL0mSJEmSJEUs7/zqRCgU4o9//CPFxcVUVFQQCoXIyspiwoQJ3H777SQkJLTpX15ezqJFiygvL6e+vp6cnBwmT55MXl5eh/OXlJTw4osvBv3T09MZPXo0M2fO7PAz1NXV1SxatIht27ZRU1NDZmYm3//+97njjjuIj48/Le9AkiRJkiTp6847vzoQCoWYOXMmmzZtIjk5mUsuuYTY2Fh27txJbW0tl1xyCS+88AJJSUkAbNu2jenTp9PS0sKIESNISkqitLSUxsZG8vPzmTNnTpv5n332WRYsWEB0dDTDhw/n3HPP5d1332X//v2kpaXx0ksvMWjQoKB/VVUVkyZNoqqqiqFDh5KVlUVZWRk1NTWMHDmSZcuWERcX9z99R5IkSZIkSV8Hhl8dWL58OQ888AAXXnghBQUF9OnTB4DDhw8zc+ZMduzYwbRp0/jpT39KY2MjY8aMoba2lqVLl/Ltb38bgL1793LrrbdSVVXF6tWrufjiiwHYs2cPeXl5JCYmsmzZMr71rW8B0NTUxEMPPURRURHf/OY3WbFiRbCf/Px8Nm7cyN13383MmTMBqK+v58477+TNN9/k5z//OVOnTv1fviJJkiRJkqSvBe/86kBxcTEA8+bNC4IvgLS0NB588EEAXnvtNQDWrFnDoUOHyMvLC4IvgAEDBnDfffcBUFhYGNSvWbOGlpYWbrvttiD4AoiLi2PevHmkpaXxzjvvUFlZCUBFRQWbNm1iwIAB5OfnB/2Tk5P57W9/S0xMDC+99NIpfgOSJEmSJEmRwfCrA7179yY7O5vhw4e3axs4cCAAH3/8MQBbtmwBYOzYse36Xn311cTExLB58+agLi4ujgsvvJARI0a06x8XF0f//v3bzL9161bC4TBXX3010dFt/7v69evH0KFDqaysZM+ePSfxpJIkSZIkSZHN8KsDS5Ys4fXXXyc5ObldW3l5OUBwKf37778PwJAhQ9r1TUlJISMjg8OHD3Pw4EEAZs+ezZ///GeuuOKKdv3r6+uDEKt1/ta/Bw8e3OFes7OzAXjvvfe6/oCSJEmSJElnCcOvbgiHwyxcuBCAcePGAVBTUwNAenp6h2Na61vDrxMpKCigvr6eYcOGkZmZCfznBFhGRsZ/Pb8kSZIkSdLZxvCrGx5//HHefvttzjvvPG6//XYAGhoaAEhMTOxwTGt9fX39CecuKSnhmWeeITo6mrlz5wb1p2p+SZIkSZKks5HhVxctXLiQZ599lvj4eH73u9+RlpYGQExMDFFRUURFRZ1wfEtLS6dtmzZtYtasWYRCIebMmcOoUaOCtpiYGID/an5JkiRJkqSzleHXV2hubuY3v/kNixcvJiEhgaeffrrNZfVJSUmEw2GOHTvW4fjGxkYAevTo0WH7qlWruPPOOzl27Bh33XUX06ZNa9OelJTUZp7O5u/ofjJJkiRJkqSzXeyZ3sD/s6NHj3L33XezZcsWevbsyeLFi9t9pTEjI4Pa2lpqamqCLzV+0YnuBHviiSdYsmQJUVFR/PKXv2TKlCnt+rTe9dXZnV6t83d2J5gkSZIkSdLZzJNfnfjss8+49dZb2bJlC5mZmbz88svtgi/4z1cYP/jgg3ZtdXV1fPzxx6SlpXHeeecF9eFwmF/96lcsWbKE+Ph4Hn/88Q6Dry/O3/rVxy9rXbejr01KkiRJkiSd7Qy/OnD8+HGmTZvGP//5T3Jycli+fHmn4dLo0aMBWL9+fbu2N954g1AoxFVXXdWm/pFHHmHVqlWkpKTw3HPPMWHChE730jr/xo0b293rtX//ft59913OP/98cnJyuvWMkiRJkiRJZwPDrw48+eSTvPPOO2RmZlJYWEjfvn077Xvddddx7rnnUlxcTElJSVC/b98+FixYQFRUVJtTXZs3b+b5558nNjaWZ555hpEjR55wL1lZWYwePZqKigoWLlwY1NfX13P//fcTCoW47bbbTv5hJUmSJEmSIlhUOBwOn+lN/D/55JNP+O53v0tjYyPf+MY3yM7O7rTvY489BsCGDRuYPXs2oVCIESNG0KNHD/72t7/R0NDAnDlzyM/PD8ZMnDiR8vJy+vTpc8Lga8aMGQwaNAj4PEi7+eabqampYciQIVxwwQWUlZVRU1NDbm4uv//974mN9fo2SZIkSZKkLzP8+pK//OUvzJo1q0t9d+/eHZTLyspYtGgRO3fuJBwOk5OTw5QpUxg/fnzQ59NPP2XUqFFdmvvFF19s0/fAgQM8+eSTbN68mSNHjpCVlcUPfvADfvzjH5OQkNDFp5MkSZIkSTq7GH5JkiRJkiQpYnnnlyRJkiRJkiKW4ZckSZIkSZIiluGXJEmSJEmSIpbhlyRJkiRJkiKW4ZckSZIkSZIiluGXJEmSJEmSIpbhlyRJkk5aKBQ601uQJEk6odgzvQFJkiR1zZgxY6isrOywLTo6moSEBM455xyys7O55ppruP766znnnHNOy16ampp44YUXqKqq4v777z8ta0iSJJ0KnvySJEmKAC0tLTQ0NFBVVcWbb77J/PnzGT9+PBs2bDgt602ePJlHH32Uurq60zK/JEnSqeLJL0mSpK+Zyy67jIKCgjZ1oVCI+vp6KisrKSkpobCwkEOHDjF79myeeuopxowZc0r3UF1dfUrnkyRJOl08+SVJkvQ1ExMTQ48ePdr869mzJ3379uWyyy7j3nvvZeXKlaSlpdHc3MycOXM6/bmkJElSpDP8kiRJikCDBw/mscceA6CxsZGnn376DO9IkiTpzIgKh8PhM70JSZIkfbXWC+9HjhxJYWFhl8ZMmTKF0tJSYmNjKS0tpWfPnm3at23bxquvvsqOHTs4ePAgx44dIzU1lZycHMaOHcukSZNISkoK+v/iF7+guLi4w7U2bNhA//79g7+bm5spLi5m7dq17N69m7q6Onr16sWll17KpEmTuPLKK0/iLUiSJHWPd35JkiRFsO9973uUlpbS3NzM9u3bufbaawFoaGjg3nvv5Y033mg35vDhw7z11lu89dZbvPLKKxQVFZGSktKtdaurq8nPz2fXrl1t6mtqali3bh3r1q3jhz/8IfPnzycuLu7kH1CSJOkr+LNHSZKkCDZs2LCgXFZWFpQfffTRIPi6+eabWb16NaWlpaxfv57FixcH43bv3s3zzz8fjJs/fz5lZWX069cPgLy8PMrKyigrK+P8888HPg/Wpk6dyq5du0hKSuKee+7h9ddfZ/v27axatYqJEycC8Morr/DQQw+d1ueXJEny5JckSVIEaw2pAA4ePAjAkSNHWLlyJQATJ07kwQcfDPqkpaWRlZXFqFGjGDduHIcOHWLr1q3cddddAMTHxxMfH09UVBQAsbGx9OjRo82aS5cuZc+ePcTFxbFs2TIuvfTSoK1Xr14MGzaMzMxMnnrqKYqKirjxxhu56KKLTsvzS5IkefJLkiQpgiUnJwflTz75BPg8/JoyZQrjx49n6tSpHY5LSUlh6NChwOc/g+yqcDjM8uXLAZgwYUKb4OuLpk+fTnp6OgArVqzo8vySJEnd5ckvSZKkCHb8+PGg3Hpaq1+/ftx3332djmlqamLXrl1BWNbc3Nzl9T744IPghNnQoUM5evRop30vvvhiNm7cyN///vcuzy9JktRdhl+SJEkR7MiRI0H5y196BPjoo494++23qaioYN++ffzrX//iww8/pKmp6aTW27t3b1B++OGHefjhh79yzIEDB05qLUmSpK4w/JIkSYpg+/btC8r9+/cPyvv37+fXv/41W7dubTcmNTWV73znO1RWVvLee+91a726urpu7/FkxkiSJHWV4ZckSVIE27lzZ1AePnw4ALW1tdxyyy1UVlYSFRVFbm4ul19+OTk5OQwaNIgBAwYQFRXF7Nmzux1+JSUlBeWCggJyc3NPzYNIkiSdJMMvSZKkCLZ27Vrg84vvr7jiCgCKioqorKwE4IknnmD8+PEdjm2986s7MjMzg3LrGp0Jh8PBPWSSJEmni197lCRJilAbN25k165dAOTl5QVfftyxYwcAvXv37jT4qquro7y8HICWlpYur3nRRReRmpoKwPr16zvt19zczLhx48jNzeVnP/tZl+eXJEnqLsMvSZKkCPT+++8zb948AFJSUpg1a1bQFhMTA8Bnn31GTU1Nu7HNzc088MADNDQ0AHR4+X1cXFyHbTExMfzoRz8CYOvWrcHJsy9bunQpe/fupbq6mpycnO4+niRJUpf5s0dJkqSvmVAoxNGjR9vUNTc3U1dXR0VFBSUlJfzpT3+isbGRmJgYFixYQHp6etB39OjRbNiwgZaWFqZPn87cuXMZMmQIjY2N7Ny5kz/84Q/84x//CPp/eS2AXr16AQRfiuzduzepqanExsYyY8YM/vrXv1JZWcncuXMpLy/nhhtuoG/fvhw4cICVK1dSVFQEwMCBA7nllltOx2uSJEkCICocDofP9CYkSZL01caMGfOV92h9UUZGBo888ghXXnllm/qmpiZ+8pOfsH379k7HZmZmkpuby4oVKwDYvHkzffr0CdoXLlzI4sWL24x5+eWXufzyywH46KOPmDFjBhUVFZ2uccEFF1BQUEBWVlaXn0mSJKm7PPklSZIUAaKjo0lMTCQjI4MhQ4Zw1VVXcf3115OYmNiub1xcHM899xyFhYWsXbuWDz/8kOPHj5Oamkp2djZjx47lxhtv5NNPP2XlypWEw2HWrVvH5MmTgzlmzJjB8ePHee211zh48CA9e/akuro6aB84cCBr1qxh9erVrFu3jt27d1NbW0tycjKDBw/muuuu46abbiIhIeF/8n4kSdLZy5NfkiRJkiRJilheeC9JkiRJkqSIZfglSZIkSZKkiGX4JUmSJEmSpIhl+CVJkiRJkqSIZfglSZIkSZKkiGX4JUmSJEmSpIhl+CVJkiRJkqSIZfglSZIkSZKkiGX4JUmSJEmSpIhl+CVJkiRJkqSIZfglSZIkSZKkiPVv+Qii9lC9hnYAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1440x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Proportion of sentiments by day\n",
+    "sent_by_day = df.groupby('date')['sentiment'].value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# Plot a stacked line graph\n",
+    "p1 = sent_by_day.plot.area(stacked = True, figsize=(20,12),\n",
+    "                           color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Tweet Sentiment over Five Months', fontsize=30, pad=15)\n",
+    "p1.set_xlabel('Date', fontsize=28)\n",
+    "p1.set_ylabel('Sentiment (%)', fontsize=28, labelpad=15)\n",
+    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1, fontsize=25)\n",
+    "plt.setp(p1.get_xticklabels(), fontsize=22)\n",
+    "plt.setp(p1.get_yticklabels(), fontsize=22)\n",
+    "\n",
+    "# plt.savefig('sentiment_stacked_line.png')\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3040, 19)"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create dataframe of top twenty tweets per day by likes\n",
+    "top_20_by_day = []\n",
+    "for i in df.groupby('date')['nlikes'].nlargest(20).index:\n",
+    "    top_20_by_day.append(i[1])\n",
+    "    \n",
+    "top_20_by_day = df.loc[top_20_by_day]\n",
+    "top_20_by_day.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x1264a4c18>"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Proportion of sentiments of top twenty tweets by day\n",
+    "sent_top_20_by_day = top_20_by_day.groupby('date')['sentiment'].value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# Plot a stacked line graph\n",
+    "p1 = sent_top_20_by_day.plot.area(stacked = True, figsize=(20,12),\n",
+    "                           color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment of Daily Top Twenty Tweets', fontsize=30, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=28)\n",
+    "p1.set_ylabel('Sentiment (%)', fontsize=28, labelpad=15)\n",
+    "plt.setp(p1.get_xticklabels(), fontsize=22)\n",
+    "plt.setp(p1.get_yticklabels(), fontsize=22)\n",
+    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1, fontsize=25)\n",
+    "\n",
+    "# p1.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Top 100 tweets by number of likes\n",
+    "top_100_likes = df['nlikes'].sort_values(ascending=False).head(100).index\n",
+    "top_100_likes = df.loc[top_100_likes]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    46\n",
+       "positive    40\n",
+       "neutral     14\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_100_likes['sentiment'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Top 1000 tweets by number of likes\n",
+    "top_1000_likes = df['nlikes'].sort_values(ascending=False).head(1000).index\n",
+    "top_1000_likes = df.loc[top_1000_likes]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "positive    451\n",
+       "negative    410\n",
+       "neutral     139\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_1000_likes['sentiment'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Top 10000 tweets by number of likes\n",
+    "top_10000_likes = df['nlikes'].sort_values(ascending=False).head(10000).index\n",
+    "top_10000_likes = df.loc[top_10000_likes]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "positive    4474\n",
+       "negative    3932\n",
+       "neutral     1594\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_10000_likes['sentiment'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((239200, 19), (115386, 19), (115386, 19))"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create dataframes for positive, neutral and negative sentiment\n",
+    "positive_df = df[df['sentiment'] == 'positive']\n",
+    "neutral_df = df[df['sentiment'] == 'neutral']\n",
+    "negative_df = df[df['sentiment'] == 'neutral']\n",
+    "\n",
+    "positive_df.shape, neutral_df.shape, negative_df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f9bcf535a50>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "dark"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Proportion of sentiments of top twenty tweets by day\n",
+    "positive_likes = positive_df.groupby('date')['nlikes'].value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# Plot a stacked line graph\n",
+    "p1 = positive_likes.plot.area(stacked = True, figsize=(10,6), alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Distribution of Top Twenty Tweets by Day', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1)\n",
+    "# p1.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/josh-workbook-backup_0616-night.ipynb b/josh-workbook-backup_0616-night.ipynb
index a8fde37..b52ca93 100644
--- a/josh-workbook-backup_0616-night.ipynb
+++ b/josh-workbook-backup_0616-night.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -997,7 +997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1270,7 +1270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -1279,7 +1279,7 @@
        "'death thomas unknown peasant died river ready heard homemade hair treatment ann cherry dead sea mud '"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1329,14 +1329,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 464 ms, sys: 158 ms, total: 622 ms\n",
+      "CPU times: user 474 ms, sys: 147 ms, total: 621 ms\n",
       "Wall time: 636 ms\n"
      ]
     }
@@ -1347,7 +1347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -1380,7 +1380,7 @@
        " ('death', 20287)]"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1392,7 +1392,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -1401,7 +1401,7 @@
        "243080"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1413,7 +1413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -1422,7 +1422,7 @@
        "7793391"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1433,7 +1433,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1442,36 +1442,131 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "scrolled": false
-   },
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fdist = FreqDist(words)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 720x720 with 1 Axes>"
+       "FreqDist({'hand': 40134, 'need': 39383, 'spread': 33418, 'protect': 32088, 'make': 31605, 'help': 30306, 'say': 28477, 'glove': 27649, 'public': 25717, 'hospital': 25525, ...})"
       ]
      },
+     "execution_count": 31,
      "metadata": {},
-     "output_type": "display_data"
-    },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fdist"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p1 = sent_by_lda.plot(kind='bar', stacked = True, figsize=(20,12), \n",
+    "                       color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "p1.set_title('Tweet Sentiment by Topic', fontsize=30, pad=15)\n",
+    "p1.set_xlabel('LDA Topic', fontsize=28, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment (%)', fontsize=28, labelpad=15)\n",
+    "plt.setp(p1.get_xticklabels(), fontsize=22)\n",
+    "plt.setp(p1.get_yticklabels(), fontsize=22)\n",
+    "plt.setp(p1.xaxis.get_majorticklabels(), rotation=0)\n",
+    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1, bbox_to_anchor=(1.01, 1.01),\n",
+    "          fontsize=25)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test = pd.DataFrame(data=fdist.values(), index=fdist.keys(), columns=['word_count'])\n",
+    "test = test.sort_values('word_count', ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>word_count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>hand</th>\n",
+       "      <td>40134</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>need</th>\n",
+       "      <td>39383</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>spread</th>\n",
+       "      <td>33418</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>protect</th>\n",
+       "      <td>32088</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <td>31605</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x105b93ef0>"
+       "         word_count\n",
+       "hand          40134\n",
+       "need          39383\n",
+       "spread        33418\n",
+       "protect       32088\n",
+       "make          31605"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "fdist = FreqDist(words)\n",
-    "plt.figure(figsize=(10,10))\n",
-    "fdist.plot(25)"
+    "test.head()"
    ]
   },
   {
@@ -1479,14 +1574,46 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "top_25 = test.iloc[:25,:]"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 86,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 25 artists>"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1800x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(25,10))\n",
+    "plt.title('Top 25 Words', fontsize=30, pad=15)\n",
+    "plt.ylabel('Word Count', fontsize=28, labelpad=15)\n",
+    "plt.xticks(rotation=45, fontsize=22)\n",
+    "plt.yticks(fontsize=22)\n",
+    "plt.ylim(bottom=15000, top=41000)\n",
+    "\n",
+    "plt.bar(top_25.index, top_25.word_count)"
+   ]
   },
   {
    "cell_type": "markdown",
diff --git a/josh-workbook_COPY.ipynb b/josh-workbook_COPY.ipynb
index 7671173..47a5bbc 100644
--- a/josh-workbook_COPY.ipynb
+++ b/josh-workbook_COPY.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -39,6 +39,8 @@
     "import string\n",
     "import emoji\n",
     "\n",
+    "from gensim import models\n",
+    "\n",
     "%load_ext autoreload\n",
     "\n",
     "%autoreload\n",
@@ -1040,7 +1042,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1050,7 +1052,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1059,15 +1061,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 9.96 s, sys: 340 ms, total: 10.3 s\n",
-      "Wall time: 10.4 s\n"
+      "CPU times: user 8.65 s, sys: 256 ms, total: 8.91 s\n",
+      "Wall time: 8.99 s\n"
      ]
     },
     {
@@ -1265,7 +1267,7 @@
        "[5 rows x 15671 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1756,26 +1758,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
-    "with gzip.open('Datasets/gensim_corpus2.pkl', 'rb') as handle:\n",
+    "with gzip.open('Datasets/gensim_corpus.pkl', 'rb') as handle:\n",
     "    corpus = pickle.load(handle)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<gensim.matutils.Sparse2Corpus at 0x7fcc43272250>"
+       "gensim.matutils.Sparse2Corpus"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1786,7 +1795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1796,63 +1805,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 14min 36s, sys: 9.48 s, total: 14min 46s\n",
-      "Wall time: 15min 3s\n"
+      "CPU times: user 10min 38s, sys: 5.41 s, total: 10min 43s\n",
+      "Wall time: 10min 51s\n"
      ]
     },
     {
      "data": {
       "text/plain": [
        "[(0,\n",
-       "  '0.041*\"case\" + 0.035*\"worker\" + 0.034*\"business\" + 0.029*\"president\" + 0.028*\"death\" + 0.028*\"health\" + 0.027*\"cdc\" + 0.026*\"ppe\" + 0.026*\"million\" + 0.025*\"science\"'),\n",
+       "  '0.032*\"protest\" + 0.025*\"facewithtearsofjoy\" + 0.016*\"die\" + 0.012*\"video\" + 0.011*\"rollingonthefloorlaughing\" + 0.011*\"refuse\" + 0.010*\"hoax\" + 0.010*\"without\" + 0.009*\"fucking\" + 0.009*\"want\"'),\n",
        " (1,\n",
-       "  '0.114*\"pandemic\" + 0.033*\"contact\" + 0.028*\"kill\" + 0.027*\"protective\" + 0.026*\"close\" + 0.020*\"food\" + 0.015*\"surface\" + 0.014*\"personal\" + 0.013*\"learn\" + 0.012*\"total\"'),\n",
+       "  '0.033*\"care\" + 0.028*\"patient\" + 0.015*\"health\" + 0.014*\"doctor\" + 0.013*\"fauci\" + 0.013*\"taking\" + 0.013*\"positive\" + 0.013*\"hospital\" + 0.013*\"risk\" + 0.013*\"need\"'),\n",
        " (2,\n",
-       "  '0.065*\"news\" + 0.052*\"test\" + 0.038*\"fear\" + 0.035*\"wave\" + 0.030*\"rollingonthefloorlaughing\" + 0.024*\"sense\" + 0.023*\"say\" + 0.020*\"fake\" + 0.019*\"thousand\" + 0.019*\"amid\"'),\n",
+       "  '0.046*\"spread\" + 0.024*\"protect\" + 0.021*\"stop\" + 0.017*\"prevent\" + 0.016*\"help\" + 0.015*\"infection\" + 0.013*\"say\" + 0.012*\"cloth\" + 0.010*\"study\" + 0.010*\"public\"'),\n",
        " (3,\n",
-       "  '0.100*\"social\" + 0.074*\"new\" + 0.042*\"state\" + 0.036*\"case\" + 0.028*\"since\" + 0.025*\"week\" + 0.022*\"day\" + 0.022*\"month\" + 0.020*\"community\" + 0.016*\"vaccine\"'),\n",
+       "  '0.038*\"facewithmedicalmask\" + 0.031*\"american\" + 0.018*\"fear\" + 0.017*\"#socialdistancing\" + 0.016*\"sanitizer\" + 0.014*\"customer\" + 0.013*\"#staysafe\" + 0.012*\"#wearamask\" + 0.011*\"#lockdown\" + 0.010*\"democrat\"'),\n",
        " (4,\n",
-       "  '0.040*\"protection\" + 0.038*\"number\" + 0.027*\"air\" + 0.025*\"infected\" + 0.024*\"infection\" + 0.024*\"droplet\" + 0.023*\"effective\" + 0.022*\"eye\" + 0.021*\"particle\" + 0.017*\"worn\"'),\n",
+       "  '0.019*\"filter\" + 0.017*\"medical\" + 0.017*\"k\" + 0.016*\"protective\" + 0.015*\"pandemic\" + 0.015*\"cop\" + 0.014*\"ppe\" + 0.014*\"group\" + 0.014*\"fight\" + 0.014*\"make\"'),\n",
        " (5,\n",
-       "  '0.068*\"protest\" + 0.036*\"transmission\" + 0.034*\"risk\" + 0.033*\"protesting\" + 0.024*\"high\" + 0.024*\"protester\" + 0.023*\"refuse\" + 0.023*\"important\" + 0.022*\"question\" + 0.020*\"update\"'),\n",
+       "  '0.013*\"think\" + 0.010*\"thing\" + 0.010*\"still\" + 0.009*\"want\" + 0.009*\"see\" + 0.009*\"right\" + 0.009*\"got\" + 0.008*\"time\" + 0.008*\"make\" + 0.008*\"really\"'),\n",
        " (6,\n",
-       "  '0.067*\"spread\" + 0.065*\"protect\" + 0.055*\"stop\" + 0.047*\"help\" + 0.046*\"others\" + 0.033*\"prevent\" + 0.022*\"spreading\" + 0.014*\"read\" + 0.013*\"way\" + 0.013*\"everyone\"'),\n",
+       "  '0.034*\"store\" + 0.018*\"wave\" + 0.014*\"today\" + 0.014*\"grocery\" + 0.013*\"anti\" + 0.013*\"new\" + 0.012*\"republican\" + 0.012*\"precaution\" + 0.011*\"crisis\" + 0.009*\"seriously\"'),\n",
        " (7,\n",
-       "  '0.078*\"home\" + 0.072*\"please\" + 0.067*\"stay\" + 0.060*\"safe\" + 0.060*\"care\" + 0.053*\"take\" + 0.049*\"keep\" + 0.036*\"healthy\" + 0.021*\"remember\" + 0.021*\"outside\"'),\n",
+       "  '0.022*\"state\" + 0.019*\"pandemic\" + 0.018*\"trump\" + 0.014*\"business\" + 0.013*\"police\" + 0.011*\"health\" + 0.010*\"riot\" + 0.010*\"testing\" + 0.009*\"worker\" + 0.009*\"say\"'),\n",
        " (8,\n",
-       "  '0.066*\"without\" + 0.050*\"patient\" + 0.035*\"getting\" + 0.033*\"work\" + 0.030*\"sick\" + 0.028*\"doctor\" + 0.027*\"taking\" + 0.020*\"nurse\" + 0.014*\"hospital\" + 0.013*\"check\"'),\n",
+       "  '0.046*\"social\" + 0.039*\"distancing\" + 0.023*\"stay\" + 0.023*\"please\" + 0.022*\"hand\" + 0.021*\"safe\" + 0.019*\"keep\" + 0.018*\"home\" + 0.015*\"others\" + 0.015*\"distance\"'),\n",
        " (9,\n",
-       "  '0.104*\"glove\" + 0.045*\"city\" + 0.036*\"start\" + 0.033*\"continue\" + 0.028*\"quarantine\" + 0.027*\"employee\" + 0.027*\"india\" + 0.027*\"house\" + 0.023*\"walking\" + 0.021*\"face\"'),\n",
-       " (10,\n",
-       "  '0.048*\"cloth\" + 0.042*\"u\" + 0.039*\"free\" + 0.035*\"ppl\" + 0.025*\"second\" + 0.024*\"chance\" + 0.023*\"anti\" + 0.021*\"#trump\" + 0.019*\"law\" + 0.019*\"r\"'),\n",
-       " (11,\n",
-       "  '0.076*\"public\" + 0.059*\"death\" + 0.031*\"social\" + 0.028*\"spread\" + 0.028*\"flu\" + 0.025*\"study\" + 0.024*\"place\" + 0.023*\"rate\" + 0.021*\"reduce\" + 0.020*\"say\"'),\n",
-       " (12,\n",
-       "  '0.065*\"medical\" + 0.033*\"hospital\" + 0.029*\"staff\" + 0.028*\"support\" + 0.023*\"supply\" + 0.023*\"need\" + 0.022*\"etc\" + 0.019*\"following\" + 0.019*\"including\" + 0.016*\"government\"'),\n",
-       " (13,\n",
-       "  '0.028*\"store\" + 0.020*\"time\" + 0.019*\"see\" + 0.019*\"today\" + 0.017*\"life\" + 0.016*\"year\" + 0.014*\"first\" + 0.013*\"back\" + 0.013*\"seen\" + 0.013*\"old\"'),\n",
-       " (14,\n",
-       "  '0.036*\"american\" + 0.024*\"die\" + 0.020*\"riot\" + 0.016*\"cannot\" + 0.015*\"normal\" + 0.015*\"happen\" + 0.014*\"thinkingface\" + 0.014*\"one\" + 0.013*\"change\" + 0.013*\"make\"'),\n",
-       " (15,\n",
-       "  '0.050*\"person\" + 0.039*\"police\" + 0.034*\"white\" + 0.033*\"fight\" + 0.033*\"black\" + 0.030*\"rule\" + 0.015*\"force\" + 0.015*\"simple\" + 0.013*\"freedom\" + 0.013*\"street\"'),\n",
-       " (16,\n",
-       "  '0.092*\"facewithmedicalmask\" + 0.052*\"positive\" + 0.044*\"tested\" + 0.036*\"expert\" + 0.034*\"measure\" + 0.022*\"economy\" + 0.020*\"together\" + 0.019*\"population\" + 0.018*\"loudlycryingface\" + 0.018*\"despite\"'),\n",
-       " (17,\n",
-       "  '0.108*\"hand\" + 0.037*\"wash\" + 0.031*\"best\" + 0.028*\"nose\" + 0.028*\"sanitizer\" + 0.027*\"covering\" + 0.026*\"mouth\" + 0.024*\"follow\" + 0.023*\"foot\" + 0.022*\"cover\"'),\n",
-       " (18,\n",
-       "  '0.041*\"trump\" + 0.022*\"want\" + 0.021*\"think\" + 0.018*\"facewithtearsofjoy\" + 0.017*\"right\" + 0.015*\"still\" + 0.014*\"thing\" + 0.013*\"say\" + 0.012*\"really\" + 0.012*\"death\"'),\n",
-       " (19,\n",
-       "  '0.053*\"open\" + 0.037*\"filter\" + 0.036*\"america\" + 0.033*\"video\" + 0.027*\"catch\" + 0.024*\"beach\" + 0.023*\"line\" + 0.021*\"response\" + 0.021*\"citizen\" + 0.019*\"respect\"')]"
+       "  '0.030*\"death\" + 0.028*\"case\" + 0.026*\"new\" + 0.014*\"news\" + 0.013*\"lockdown\" + 0.011*\"country\" + 0.010*\"world\" + 0.010*\"may\" + 0.010*\"number\" + 0.010*\"public\"')]"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1860,29 +1849,25 @@
    "source": [
     "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
     "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "%time lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=20, passes=5)\n",
+    "%time lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=10, passes=5)\n",
     "lda.print_topics()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "0    [(0, 0.016697275), (1, 0.016697275), (2, 0.016...\n",
-       "1    [(0, 0.06466613), (5, 0.77953017), (8, 0.11460...\n",
-       "2    [(1, 0.3331919), (2, 0.10905476), (4, 0.137751...\n",
-       "3    [(0, 0.016701402), (1, 0.016700676), (2, 0.016...\n",
-       "4    [(0, 0.12219084), (1, 0.3442752), (2, 0.122258...\n",
-       "Name: lda_scores, dtype: object"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'df' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-15-1065ad25f924>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mcorpus_transformed\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlda\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcorpus\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'lda_scores'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcorpus_transformed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'lda_scores'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'df' is not defined"
+     ]
     }
    ],
    "source": [
@@ -1939,24 +1924,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0    6\n",
+       "1    5\n",
+       "2    1\n",
+       "3    8\n",
+       "4    8\n",
+       "Name: lda, dtype: int64"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_tweets_lda_10.csv', index_col=0)\n",
+    "df.lda.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fcbedfe4d50>"
+       "<matplotlib.legend.Legend at 0x14197df98>"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
+       "<Figure size 1440x864 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1964,17 +1983,35 @@
     }
    ],
    "source": [
-    "# sort by percentage of trees in good health\n",
+    "# proportion of sentiment across lda topics\n",
     "sent_by_lda = df.groupby('lda').sentiment.value_counts(normalize=True).unstack()\n",
     "# plot a stacked bar graph\n",
-    "p1 = sent_by_lda.plot(kind='bar', stacked = True, figsize=(10,6),\n",
-    "#                    title = 'Tree Health Across Boroughs', \n",
-    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
-    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
-    "p1.set_xlabel('LDA Topic', fontsize=18, labelpad=10)\n",
-    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
-    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1)\n",
-    "# plt.show()"
+    "p1 = sent_by_lda.plot(kind='bar', stacked = True, figsize=(20,12), \n",
+    "                       color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "p1.set_title('Tweet Sentiment by Topic', fontsize=30, pad=15)\n",
+    "p1.set_xlabel('LDA Topic', fontsize=28, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment (%)', fontsize=28, labelpad=15)\n",
+    "plt.setp(p1.get_xticklabels(), fontsize=22)\n",
+    "plt.setp(p1.get_yticklabels(), fontsize=22)\n",
+    "plt.setp(p1.xaxis.get_majorticklabels(), rotation=0)\n",
+    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1, bbox_to_anchor=(1.01, 1.01),\n",
+    "          fontsize=25)\n",
+    "# plt.show()\n",
+    "\n",
+    "\n",
+    "# # Proportion of sentiments by day\n",
+    "# sent_by_day = df.groupby('date')['sentiment'].value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# # Plot a stacked line graph\n",
+    "# p1 = sent_by_day.plot.area(stacked = True, figsize=(20,12),\n",
+    "#                            color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "# p1.set_title('Tweet Sentiment over Five Months', fontsize=30, pad=15)\n",
+    "# p1.set_xlabel('Date', fontsize=28)\n",
+    "# p1.set_ylabel('Sentiment (%)', fontsize=28, labelpad=15)\n",
+    "# p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1, fontsize=25)\n",
+    "# plt.setp(p1.get_xticklabels(), fontsize=22)\n",
+    "# plt.setp(p1.get_yticklabels(), fontsize=22)"
    ]
   },
   {
@@ -2040,24 +2077,85 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x13c2ebda0>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.boxplot('subjectivity_score', 'sentiment', figsize=(20,12))"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1402075f8>"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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RbL/99pk+fXr+8Y9/ZI899mhyXFVVVTp16pR27dpl/fXXT/Je8JoyZUpOOOGEJMktt9ySvn37pm3bFf//jy+88EKqq6uzwQYb5FOf+lTOP//8vPjii0mS66+/PptttlmGDx+eJOnevXvmzp2bRYsW5eabb87ChQtzySWXND6Xiy66KAcffHCTUHjcccdl4403TpKcfvrp2X///Rtf54033jhz5szJr3/96/Tt23eFewUA+CDRCgD4RNhll12yzTbb5OCDD06PHj3y7//+7+nfv3/WXnvtlXr8tttu2/jvHTt2zOabb56nn356ieOeeeaZPPbYYxk9enTjbf/85z/TvXv3JMnMmTNz9NFHN97Xtm3bnH766UmSl19+eZnr/8u//Ev69OmT2267Ldtvv31uvfXW7LbbbqmpqVnh3vv165eRI0dm5syZWW+99XL//ffnlFNOWfGTTjJ48OCceOKJ2XnnndOrV6/svvvu6d+/f+Nz2XrrrZsc//6H1f/+97/Plltu2SS+bb311unQoUOeffbZfOpTn0qSbLTRRo33P/PMM3n66adzyy23NN727rvvpn17P3ICAB+dnyAAgE+EqqqqjBs3Lo8++mjuvvvu3Hnnnfnd736XX/ziF0scu3DhwiVua9euXZOvFy1alA4dOiz1scOGDctuu+3W5Pb3w0uHDh0+9gel77vvvrnkkksyfPjw/P73v8/555+/Uo/baKON8sUvfjG33XZbPvOZz6R79+6pra1dqcf26tUrd911V+65557cc889GTlyZK699tpMnDhxuc9lrbXWWuY5P/j6fvC4hQsX5vDDD8+gQYNWam8AAMvjM60AgE+ERx99NCNHjsz222+fU045JTfffHO22mqr3H777enQoUOTD11//vnnl3j8jBkzGv99wYIFmTFjRj7/+c8vcdymm26aF198MZtssknj/2655ZbGz2Xq1q1b/vrXvzYev3jx4uy7776ZOnVq2rRps9zn8NWvfjX/+Mc/cvXVV2fhwoX5yle+stTjlnae/fffP3/4wx9y5513Zr/99lvuOh/029/+Ng8//HD22WefXHTRRRk/fnyeffbZ/O1vf0u3bt3y1FNPNTn+7LPPzkUXXZRNN900//M//5MFCxY03vfEE0/kn//8ZzbddNOlrrXppptm9uzZTV67adOm5Xe/+91K7xcA4H2iFQDwiVBdXZ3Ro0fn6quvzgsvvJD77rsvM2fOzDbbbJOtt946Y8eOzcyZMzNt2rT8+te/XuLx48aNy+TJkzNz5sz813/9V6qrq5f4EPQkGTJkSK699tqMGzcuc+bMybhx4/LTn/40G264YZLkqKOOyrXXXpubbrops2fPzqWXXprXXnstvXr1SqdOnZIkTz31VJOI9sHn8NWvfjWjRo3K17/+9XTs2HGpz7VTp0557bXX8vzzz+fdd99N8t4HtD/zzDOZNm3aUve9LK+88krOP//8PPTQQ3n++eczadKkdO7cOd27d8+hhx6aZ555Jpdffnnq6upy00035cYbb8yuu+6a/fbbL2uttVaGDx+ep59+Og899FDOOuusfOlLX1pq7EveuxTxrrvuyi9+8YvMnj07t912Wy6++OJ89rOfXen9AgC8z+WBAMAnQm1tbS699NL87Gc/y6WXXpouXbrk6KOPzoEHHpgvfOELOeecc9KvX798/vOfz7BhwzJ06NAmjz/22GNz1VVX5Zlnnsk222yT//7v/15qNNpjjz1yzjnn5Morr8yFF16YDTbYIN///vcbP5i9b9+++b//+79cfvnlef3117Plllvml7/8Zbp06ZLOnTtnt912y+DBgzNs2LDGD2b/oP322y8333zzcsPTnnvumeuvvz777LNPrrnmmmyzzTZZd91106dPn8ybNy9du3Zd6dftP//zP7NgwYKccsopeeutt1JbW5vRo0dn7bXXztprr51f/OIXGTFiRK688sp07do1F154YXbeeeckyZVXXpkf/OAHOeigg9KpU6fsueeejR88vzQ9e/bMFVdckSuuuCKjRo3K+uuvnxNOOCHHHHPMSu8XAOB9bRZ/3A9lAACoEIceemh69eqV73znOy29leU68MADM2jQoCX+xkMAgErkN60AgFZrwYIFefrpp1NXV/eRLrlrbvfcc08eeeSRzJkzJ3vvvXdLbwcAoFmIVgBAq/Xkk09myJAh2XLLLRsv/yvRmDFj8vjjj+eCCy5I586dG2+/8MILM2HChGU+buutt87VV1/dHFsEAFjtXB4IAPAJ9cYbb+Qf//jHMu9fa6218rnPfa4ZdwQAsPqIVgAAAAAUp8jLA19//fXcd9992WCDDVJVVdXS2wEAAABgNVuwYEFefPHF9OnTJ+utt94S9xcZre67774MHz68pbcBAAAAwBp2ySWXpF+/fkvcXmS02mCDDZK8t+lNN920hXezZjQ0NKSuri7dunVLdXV1S2+HVWSelcMsK4dZVg6zrBxmWVnMs3KYZeUwy8rRWmY5c+bMDB8+vLEDfViR0er9SwI33XTT9OzZs4V3s2bU19enbdu2qa2tTU1NTUtvh1VknpXDLCuHWVYOs6wcZllZzLNymGXlMMvK0dpmuayPhmrbzPsAAAAAgBUSrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4nykaDV16tQcdthhy7z/l7/8Zb70pS9lxx13zAUXXJCFCxeu8gYBAAAAaH1WKlotXrw4119/fU499dQsXrx4qcfccccdue666zJ+/PhMnTo1jzzySMaMGbNaNwsAAABA67BS0WrEiBG54YYbMnjw4GUec8stt+SQQw7JhhtumPXWWy/HH398brzxxtW2UQAAAABaj/Yrc9CRRx6Z0047LZMmTcr06dOXesysWbOy7777Nn7dvXv3zJo1a5U219DQkPr6+lU6R6kWLFjQ5J98spln5TDLymGWlcMsK4dZVhbzrBxmWTnMsnK0llk2NDQs9/6Vilaf+cxnVmqhqqqqxq+rq6uzYMGCLF68OG3atFnm40aOHJlRo0Yt9b66urq0bVv+Z8UPGzYszz//fLOuudFGG+Wyyy5r1jVbA7OsHGZZWZp7nma55nhvVg6zrBxmWTnMsrL4+adyeG8uW11d3XLvX6lotTKqqqqaFMCGhoZ06tRpucEqSYYOHZqhQ4c2ue3JJ5/MgQcemG7duqW2tnZ1bXGNmTJlykd+zIIFC7L3D57ObWdt3iT20bI+ziwT8yyRWVYW32crh1lWDrOsHP6bWTnMsrL4Pls5zHLZFi1atNz7V1u06tGjR5NC9txzz6V79+6rdM7q6urU1NSs4s7KVlVVVfHPsTUxz8phlpXDLCuHWVYOs6ws5lk5zLJymGXlqPRZVldXL/f+1XbtXd++fTN27NjMnj07r7/+ekaPHp399ttvdZ0eAAAAgFZklX7TasiQIdlxxx1zwgkn5Otf/3rmzJmTI444Ig0NDdl///1z5JFHrq59AgAAANCKfKRoNWDAgAwYMKDx61/96ldN7h8yZEiGDBmyenYGAAAAQKtV/l/NBwAAAECrI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUZ6Wi1WOPPZYDDjgg2223XQYNGpS6uroljvnnP/+Z8847LzvvvHP+7d/+LWeeeWYWLFiwuvcLAAAAQCuwwmj19ttv56STTspRRx2Vhx56KH369MnJJ5+8xHHXXHNNZs+end///ve5/fbbM2fOnPzqV79aI5sGAAAAoLKtMFo9+OCD6dy5cw444IB06NAhJ554Yl566aXMmDGjyXGzZs3KwoULs3jx4vdO3LZtOnbsuGZ2DQAAAEBFa7+iA5577rn06NGj8et27dplo402yqxZs1JbW9t4+yGHHJIhQ4akV69eSZIddtghRx999CptrqGhIfX19at0jlK9f+mkSygrg3lWDrOsHGZZOcyycphlZTHPymGWlcMsK0drmWVDQ8Ny719htJo/f36qq6ub3FZdXb3EC/fuu+9mr732ytChQ/Puu+/m5JNPzo9+9KOcfvrpyz3/yJEjM2rUqKXeV1dXl7ZtK/uz4pf2+WB8cpln5TDLymGWlcMsK4dZVhbzrBxmWTnMsnJU+ixX9PxWGK2WFqgaGhrSqVOnJredeeaZueCCC9KlS5ckybBhw/Ktb31rhdFq6NChGTp0aJPbnnzyyRx44IHp1q1bk9/mqiTvvaZPp1u3bqmqqmrp7bCKzLNymGXlMMvKYZaVwywri3lWDrOsHGZZOVrLLBctWrTc+1cYrXr06JEJEyY0fr1w4cLMmTMn3bt3b3Lcyy+/nHfffbfx63bt2qV9+xWefrmqq6tTU1OzSucoXVVVVcU/x9bEPCuHWVYOs6wcZlk5zLKymGflMMvKYZaVo9Jn+eEr+z5shdfe9e7dO2+++WYmTpyYd955Jz//+c/TtWvXbL755k2O+8pXvpKf/OQneeutt/Lmm29m5MiR2XvvvVdt9wAAAAC0SiuMVlVVVRk9enTGjh2b3r175/77788VV1yRNm3apG/fvrnpppuSJN/73vey0UYbZe+9986+++6bTTbZJKeeeuoafwIAAAAAVJ6Vun6vZ8+emThx4hK3T5kypfHf11lnnVx00UWrb2cAAAAAtFqV/VfzAQAAAPCJJFoBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAGmujsAAACAASURBVAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUJz2Lb0BWBO+dvb0zG1Y2Ozr7nbu48221trV7XLHBTs123oAAADQnEQrKtLchoWZftnOzbZefX19ZsyYkdra2tTU1DTLmjsNm9Ys6wAAAEBLcHkgAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4KxWtHnvssRxwwAHZbrvtMmjQoNTV1S31uKuvvjq77rprdthhh5xwwgn5+9//vjr3CgAAAEArscJo9fbbb+ekk07KUUcdlYceeih9+vTJySefvMRxU6dOzW9/+9tcddVVeeCBB9KpU6dceumla2TTAAAAAFS2FUarBx98MJ07d84BBxyQDh065MQTT8xLL72UGTNmNDnuuuuuy7e+9a1069Yta621Vr773e/m2GOPXWMbBwAAAKBytV/RAc8991x69OjR+HW7du2y0UYbZdasWamtrW28/a9//Wt23333HHDAAXn11Vezyy675JxzzlmlzTU0NKS+vn6VzlGqBQsWNPknq19z/tlpqXlW6vujJXlvVg6zrBxmWTnMsrKYZ+Uwy8phlpWjtcyyoaFhufevMFrNnz8/1dXVTW6rrq5e4oWbO3duJkyYkFGjRmWdddbJaaedlgsvvDA//OEPl3v+kSNHZtSoUUu9r66uLm3bVvZnxS/r88FYdR/+bcDm0NzzbInn2Fp4b1YOs6wcZrlmDJvwTua/07xr7v2Dp5t1vU4dk8sO6tisa7Ym3purX0u8LxPvzTXBLFlVlf49dkXPb4XRammBqqGhIZ06dWpyW8eOHfPNb34zG264YZLkxBNPzHHHHbfCDQ4dOjRDhw5tctuTTz6ZAw88MN26dWvy21yV5L3X9Ol069YtVVVVLb2dCvR4s/7ZWbBgQerq6pp5ns37HFsL783KYZaVwyzXrPnvPJ4/fn+bZlmrZf57mex2rv9mrgnem2tOc74vE+/NNcks+bhay/fYRYsWLff+FUarHj16ZMKECY1fL1y4MHPmzEn37t2bHNetW7fMmzevyXGrqrq6OjU1Nat8npJVVVVV/HNsKS3xujb3PP3ZWXO8NyuHWVYOs1xzmvt1bYlZ+rOz5nhvrhmt4WfZpHW8N82SVVHp32M/fGXfh63w2rvevXvnzTffzMSJE/POO+/k5z//ebp27ZrNN9+8yXEHHHBAxo0blxdeeCHz5s3LT3/60+y1116rtnsAAAAAWqUVRquqqqqMHj06Y8eOTe/evXP//ffniiuuSJs2bdK3b9/cdNNNSZIjjjgiBx54YI444ojsuuuu6dKlS0477bQ1/gQAAAAAqDwrvDwwSXr27JmJEycucfuUKVMa/71t27Y57rjjVupzrAAAAABgeSr7r+YDAAAA4BNJtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAoTvuW3kBJvnb29MxtWNisa+527uPNut7a1e1yxwU7NeuaAAAAAB+VaPUBcxsWZvplOzfLWvX19ZkxY0Zqa2tTU1PTLGsmyU7DpjXbWgAAAAAfl8sDAQAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA47Vt6AwDL87Wzp2duw8JmX3e3cx9v1vXWrm6XOy7YqVnXbG5mWTnMEsrUGt6b3pdAS2kN32OT8r7PilZA0eY2LMz0y3ZutvXq6+szY8aM1NbWpqamptnW3WnYtGZbq6WYZeUwSyhTa3hvel8CLaU1fI9Nyvs+6/JAAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOO1begOwJgyf85vc329Es6/7l2Zca3jH9ZLs3IwrAgAAQPMRrahIl2x8dKZf1nxBp76+PjNmzEhtbW1qamqaZc2dhk3LQc2yEgAAADQ/lwcCAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDjtW3oDAAAAUImGz/lN7u83otnX/Uszrze843pJdm7mVWkNRCsAAABYAy7Z+OhMv6z5Yk59fX1mzJiR2tra1NTUNNu6Ow2bloOabTVaE5cHAgAAAFAc0QoAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHHat/QGAAAA+P+Gz/lN7u83otnX/Uszrze843pJdm7mVYFPEtEKAACgIJdsfHSmX9Z8Mae+vj4zZsxIbW1tampqmm3dnYZNy0HNthrwSeTyQAAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKM5KRavHHnssBxxwQLbbbrsMGjQodXV1yz3+tNNOy6mnnro69gcAAABAK7TCaPX222/npJNOylFHHZWHHnooffr0ycknn7zM4++4447ccsstq3WTAAAAALQuK4xWDz74YDp37pwDDjggHTp0yIknnpiXXnopM2bMWOLYN954I5deemkGDBiwRjYLAAAAQOvQfkUHPPfcc+nRo0fj1+3atctGG22UWbNmpba2tsmx3/ve9zJkyJC8/PLLmT179ipvrqGhIfX19at8no+iudZbsGBBk382p+Z+TVtKcz7PlpqnWa5+3ptrlllWDrOsLH7+qRyt4b1plquf9+aaZZaVwyxXv4aGhuXev8JoNX/+/FRXVze5rbq6eokX7tZbb019fX0GDhyYkSNHrvQGR44cmVGjRi31vrq6urRt27yfFb+03yBbk1b0+WBrQnM/x5bSEs+zuedplmuO9+aaYZaVwywri59/KkdreG+a5ZrjvblmmGXlMMvVb0XPb4XRammBqqGhIZ06dWr8+rXXXsuPfvSjjBkz5iNvcOjQoRk6dGiT25588skceOCB6dat2xK/zbVmPd5s6y1YsCB1dXXp1q1bqqqqmmXN9zTfc2xZzfs8W2aeZrkmeG+uSWZZOcyysvj5p3K0hvemWa4J3ptrkllWDrNcExYtWrTc+1cYrXr06JEJEyY0fr1w4cLMmTMn3bt3b7zt/vvvz2uvvZb99tsvyXsf3r548eL87W9/y8033/xx957q6urU1NR87Md/HM29XlVVVcU/x5bSEs+zuedplmuO9+aaYZaVwywri59/KkdreG+a5ZrjvblmmGXlMMvV78NX9n3YCq+96927d958881MnDgx77zzTn7+85+na9eu2XzzzRuP6devX/7yl7/kz3/+c/785z/nuOOOy1577bVKwQoAAACA1muF0aqqqiqjR4/O2LFj07t379x///254oor0qZNm/Tt2zc33XRTc+wTAAAAgFZkhZcHJknPnj0zceLEJW6fMmXKUo//8GdUAQAAAMBH0bx/NR8AAAAArATRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIrTvqU3UJLhc36T+/uNaNY1/9KsqyXDO66XZOdmXhUAAADgoxGtPuCSjY/O9MuaJ+jU19dnxowZqa2tTU1NTbOsmSQ7DZuWg5ptNQAAAICPx+WBAAAAABRHtAIAAACgOKIVAAAAAMXxmVYAAK2Yv4gGACiVaAUA0Ir5i2gAgFK5PBAAAACA4ohWAAAAABRHtAIAAACgOKIVAAAAAMURrQAAAAAojmgFAAAAQHFEKwAAAACKI1oBAAAAUBzRCgAAAIDiiFYAAAAAFEe0AgAAAKA4ohUAAAAAxRGtAAAAACiOaAUAAABAcUQrAAAAAIojWgEAAABQHNEKAAAAgOKIVgAAAAAUR7QCAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAitO+pTcAAACsuuFzfpP7+41o9nX/0oxrDe+4XpKdm3FFAFqSaAUAABXgko2PzvTLmi/o1NfXZ8aMGamtrU1NTU2zrLnTsGk5qFlWAqAELg8EAAAAoDiiFQAAAADFEa0AAAAAKI5oBQAAAEBxRCsAAAAAiiNaAQAAAFAc0QoAAACA4ohWAAAAABRHtPp/7d19kJV12cDxi7dtl8VHjclGEnkpYRMUFomNAUehjBxE16Bk8jWbMch8iwLN0qTJHBUrgdCcxmk0HAkiCTRU8A2TEVRA1B1FdgVhchQldd1lF/Y8fzRtz4qPyC577h9nP58ZR/acs3tfZy9uPHw95ywAAAAAyRGtAAAAAEiOaAUAAABAckQrAAAAAJIjWgEAAACQHNEKAAAAgOSIVgAAAAAkR7QCAAAAIDmiFQAAAADJEa0AAAAASI5oBQAAAEByRCsAAAAAkiNaAQAAAJAc0QoAAACA5HTNegAA4OAyfcud8eQZN+f9uOvyfLzpRT0jYmSejwoAwH+IVgDAfrnx6O/E07PyF3Nqa2ujqqoqysrKorS0NG/HHTHtqZiUt6MBAPBhXh4IAAAAQHJEKwAAAACSI1oBAAAAkBzRCgAAAIDkiFYAAAAAJEe0AgAAACA5ohUAAAAAyRGtAAAAAEiOaAUAAABAckQrAAAAAJIjWgEAAACQnK5ZDwBAxzB9y53x5Bk35/246/J8vOlFPSNiZJ6PCgAAhUe0AiAvbjz6O/H0rPzFnNra2qiqqoqysrIoLS3N23FHTHsqJuXtaAAAULi8PBAAAACA5IhWAAAAACRHtAIAAAAgOaIVAAAAAMkRrQAAAABIjmgFAAAAQHJEKwAAAACSI1oBAAAAkBzRCgAAAIDkiFYAAAAAJKdr1gMAfJzpW+6MJ8+4Oe/HXZfn400v6hkRI/N8VAAAgHSJVkDSbjz6O/H0rPzFnNra2qiqqoqysrIoLS3N23FHTHsqJuXtaAAAAOnz8kAAAAAAkiNaAQAAAJAc0QoAAACA5IhWAAAAACRHtAIAAAAgOaIVAAAAAMnpmvUAAAAAUKhGTHsqg6NuyOvR/qekS16Pl4XpW+6MJ8+4Oe/HXZfn400v6hkRI/N81P+faAUAAADt4OlZ+f3Lf21tbYy5ZkM8MvP4KC0tzeuxC92NR38nr/usra2NqqqqKCsry+suR0x7Kibl7Wj75uWBAAAAACRHtAIAAAAgOaIVAAAAAMkRrQAAAABIjmgFAAAAQHJEKwAAAACSI1oBAAAAkBzRCgAAAIDkiFYAAAAAJEe0AgAAACA5ohUAAAAAyflE0Wr9+vVRWVkZQ4cOjcmTJ0dNTc1et6mvr49rrrkmRo0aFRUVFTF9+vR49913D/S8AAAAAHQA+4xWu3btiosvvjguuOCCWLNmTYwePTouu+yyvW43e/bs2LZtW9x///2xYsWKeO+99+KGG25ol6EBAAAAKGz7jFarV6+OHj16RGVlZXTr1i2mTp0a27dvj6qqqha327VrV0ydOjUOPfTQ6NGjR3zzm9+M5557rt0GBwAAAKBwdd3XDaqrq6N///7NH3fp0iV69+4dmzdvjrKysubLf/rTn7b4vJUrV8aAAQPaNFxdXV3U1ta26Wvsr3wdr76+vsW/8ynf39Os5PN+ZrVPuzzwnJvtyy4Lh10WFo9/CkdHODft8sBzbhaOLHfZETgvD7y6urqPvX6f0eqDDz6IkpKSFpeVlJR87Dfuj3/8Yzz44INx77337nPA2bNnx5w5cz7yupqamujcOb/vFf/hZ5C1t496f7D2lu/7mJUx12zI4Kgv5+1I3Ys6zi6zuJ/OzfZhl4XDLguLxz+FoyOcm3bZfpybhSOLXXYEzssDb1/3b5/R6qMCVV1dXXTv3n2v2+ZyubjpppvivvvuizvvvDP69eu3zwEvueSSuOSSS1pctnHjxpg4cWL07du3xbO52t+GvB2vvr4+ampqom/fvlFcXJyXY/5b/u5jlh6Zmd/j1dfXx6nXvxwP/GRAnvfZEeT396xzsz3ZZeGwy8Li8U/h6Ajnpl22B+dm4fj3391fzmCXHYHzsj00NTV97PX7jFb9+/ePhQsXNn+8Z8+e2LJly15Bavfu3fHjH/84Xn755bj33nvjqKOOauXI/1VSUhKlpaVt/jr7I9/HKy4uLvj72JFksc+OIIvvqXOzfdhl4bDLwuLxT+HoCOemXbYf52bh8PeS9uG8PPA+/Mq+D9vna+8qKipi586dsWjRomhoaIh58+ZFr1699nq/qlmzZsWmTZvinnvuOSDBCgAAAICOa5/Rqri4OG6//faYP39+VFRUxJNPPhm33nprdOrUKcaPHx9LliyJhoaGuOuuu6K6ujpOOumkKC8vj/Ly8hg3blw+7gMAAAAABWafLw+MiBg8eHAsWrRor8uXLVvW/OuNGzceuKkAAAAA6NDy+6P5AAAAAOATEK0AAAAASI5oBQAAAEByRCsAAAAAkiNaAQAAAJAc0QoAAACA5IhWAAAAACRHtAIAAAAgOaIVAAAAAMkRrQAAAABIjmgFAAAAQHJEKwAAAACSI1oBAAAAkBzRCgAAAIDkiFYAAAAAJEe0AgAAACA5XbMeAAAAgJZGTHsqg6NuyOvR/qekS16PBxx8RCsAAICEPD1rZF6PV1tbG2Ou2RCPzDw+SktL83psgI/j5YEAAAAAJEe0AgAAACA5ohUAAAAAyRGtAAAAAEiOaAUAAABAckQrAAAAAJIjWgEAAACQHNEKAAAAgOSIVgAAAAAkR7QCAAAAIDmiFQAAAADJEa0AAAAASI5oBQAAAEByRCsAAAAAkiNaAQAAAJAc0QoAAACA5IhWAAAAACRHtAIAAAAgOaIVAAAAAMkRrQAAAABIjmgFAAAAQHJEKwAAAACSI1oBAAAAkBzRCgAAAIDkiFYAAAAAJEe0AgAAACA5ohUAAAAAyRGtAAAAAEiOaAUAAABAckQrAAAAAJIjWgEAAACQHNEKAAAAgOSIVgAAAAAkR7QCAAAAIDmiFQAAAADJEa0AAAAASI5oBQAAAEByRCsAAAAAkiNaAQAAAJAc0QoAAACA5IhWAAAAACRHtAIAAAAgOaIVAAAAAMkRrQAAAABIjmgFAAAAQHJEKwAAAACSI1oBAAAAkBzRCgAAAIDkiFYAAAAAJEe0AgAAACA5ohUAAAAAyRGtAAAAAEiOaAUAAABAckQrAAAAAJIjWgEAAACQHNEKAAAAgOSIVgAAAAAkR7QCAAAAIDmiFQAAAADJEa0AAAAASI5oBQAAAEByRCsAAAAAkiNaAQAAAJAc0QoAAACA5IhWAAAAACRHtAIAAAAgOaIVAAAAAMkRrQAAAABIjmgFAAAAQHJEKwAAAACSI1oBAAAAkBzRCgAAAIDkiFYAAAAAJEe0AgAAACA5ohUAAAAAyRGtAAAAAEiOaAUAAABAckQrAAAAAJIjWgEAAACQHNEKAAAAgOSIVgAAAAAkR7QCAAAAIDmiFQAAAADJEa0AAAAASI5oBQAAAEByRCsAAAAAkiNaAQAAAJAc0QoAAACA5IhWAAAAACTnE0Wr9evXR2VlZQwdOjQmT54cNTU1e92mqakpfvnLX0ZFRUV8+ctfjttuu+1AzwoAAABAB7HPaLVr1664+OKL44ILLog1a9bE6NGj47LLLtvrdnfddVc8++yz8cADD8SCBQtiwYIF8dBDD7XL0AAAAAAUtn1Gq9WrV0ePHj2isrIyunXrFlOnTo3t27dHVVVVi9stXbo0Lrzwwvj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mzJjo3r17nHfeeVmNDACQCW/EDgCQR2PHjo3GxsZ46aWXmi974YUXmn+9atWqqK6ujvnz58eUKVNizJgxsWPHjoj490sLAQA6CtEKACCPOnfuHCeddFJcffXVsWHDhli7dm3cdNNNzdd/9rOfjcbGxrj//vtj27Zt8dBDD8X1118fERENDQ1ZjQ0AkHeiFQBAnt1yyy3x+c9/Ps4///yYNm1anHvuuc3XDR06NK644oqYNWtWjB8/PubOnRszZsyIQw89tMUzsgAACl2nnOeZAwAAAJAYz7QCAAAAIDmiFQAAAADJEa0AAAAASI5oBQAAAEByRCsAAAAAkiNaAQAAAJAc0QoAAACA5IhWAAAAACRHtAIAAAAgOf8LOVqbg3Zb9oUAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1440x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.boxplot('subjectivity_score', 'lda', figsize=(20,12))"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "from sklearn.tree import export_graphviz\n",
+    "from sklearn.externals.six import StringIO  \n",
+    "from IPython.display import Image  \n",
+    "import pydotplus\n",
+    "\n",
+    "dot_data = StringIO()\n",
+    "export_graphviz(MODEL_NAME, out_file=dot_data,  \n",
+    "                filled=True, rounded=True,\n",
+    "                special_characters=True,\n",
+    "                feature_names=feature_cols,\n",
+    "                class_names=['negative','neutral', 'positive'])\n",
+    "graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n",
+    "graph.write_png('decision_twee.png')\n",
+    "Image(graph.create_png())"
+   ]
   }
  ],
  "metadata": {
@@ -2076,7 +2174,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,
diff --git a/lda_sentiment_stacked_bar.png b/lda_sentiment_stacked_bar.png
new file mode 100644
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HcmV?d00001

diff --git a/nlp_features_notebook-Copy1.ipynb b/nlp_features_notebook-Copy1.ipynb
new file mode 100644
index 0000000..51c178d
--- /dev/null
+++ b/nlp_features_notebook-Copy1.ipynb
@@ -0,0 +1,5813 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import seaborn as sns; sns.set_style('ticks')\n",
+    "\n",
+    "import nltk\n",
+    "from nltk import RegexpTokenizer\n",
+    "from nltk.corpus import stopwords\n",
+    "from textblob import TextBlob\n",
+    "import re\n",
+    "import string\n",
+    "import emoji\n",
+    "\n",
+    "%load_ext autoreload\n",
+    "\n",
+    "%autoreload\n",
+    "\n",
+    "from functions import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('max_colwidth', 150)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Twitter scrape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):\n",
+    "    '''\n",
+    "    Function to return a pandas dataframe of tweets in English containing search terms using twint.\n",
+    "    Required parameter: search term.\n",
+    "    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).\n",
+    "    '''\n",
+    "    c = twint.Config()\n",
+    "    c.Lang = 'en'\n",
+    "    c.Search = search\n",
+    "    c.Username = username\n",
+    "    c.Since = since\n",
+    "    c.Until = until\n",
+    "    c.Limit = limit\n",
+    "    c.Pandas = True\n",
+    "    # Hide the printing of every tweet during scrape\n",
+    "    c.Hide_output = True\n",
+    "    twint.run.Search(c)\n",
+    "    df = twint.storage.panda.Tweets_df\n",
+    "    # Transform date string into datetime object\n",
+    "    df['date'] = pd.to_datetime(df['date']).dt.date\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):\n",
+    "    '''\n",
+    "    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.\n",
+    "    Periodically saves progress to CSV after each daily search.\n",
+    "    Required parameters: start date, end date, search term.\n",
+    "    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).\n",
+    "    '''\n",
+    "    df = pd.DataFrame()\n",
+    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
+    "    for d in range(len(date_range) - 1):\n",
+    "        since = date_range[d].strftime('%Y-%m-%d')\n",
+    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)\n",
+    "        # Drop empty columns\n",
+    "        day_df.drop(columns=drop_cols, axis=1, inplace=True)\n",
+    "        # Add new daily data to dataframe, reset index, save to CSV\n",
+    "        df = pd.concat([df, day_df])\n",
+    "        del day_df\n",
+    "        df.reset_index(drop=True, inplace=True)\n",
+    "        df.to_csv(f'Datasets/{filename}.csv')\n",
+    "        print(datetime.now(), f'{since} Saved!')\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
+       "0                        []       4         0    False          0  \n",
+       "1                        []       3         2    False          0  \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  \n",
+       "3                        []       3         0    False          0  \n",
+       "4                   [#hugs]       1         0    False          0  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Search loop params for March tweets\n",
+    "\n",
+    "start_date = '2020-05-01'\n",
+    "\n",
+    "end_date = '2020-05-16'\n",
+    "\n",
+    "search = '(mask OR masks) AND (covid OR covid19 OR corona OR coronavirus)'\n",
+    "\n",
+    "filename = 'may_first_half_tweets'\n",
+    "\n",
+    "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
+    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']\n",
+    "\n",
+    "limit = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 8)"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename,\\\n",
+    "                       drop_cols=drop_cols, limit=limit)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Preparing csvs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(191902, 17)"
+      ]
+     },
+     "execution_count": 174,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
+    "test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01     10017\n",
+       "2020-05-02     12871\n",
+       "2020-05-03      9557\n",
+       "2020-05-04     10019\n",
+       "2020-05-05     10009\n",
+       "2020-05-06     18885\n",
+       "2020-05-07     10000\n",
+       "2020-05-08     10010\n",
+       "2020-05-09     10017\n",
+       "2020-05-10      9676\n",
+       "2020-05-11     10000\n",
+       "2020-05-12     10008\n",
+       "2020-05-13     40812\n",
+       "2020-05-14     10000\n",
+       "2020-05-15     10019\n",
+       "Stat Butler        2\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 175,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test.groupby('date').tweet.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(144036, 17)"
+      ]
+     },
+     "execution_count": 176,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop = test.drop_duplicates(subset='tweet')\n",
+    "test_drop = test_drop.drop_duplicates(subset='id')\n",
+    "test_drop.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                      0\n",
+       "conversation_id         0\n",
+       "created_at              0\n",
+       "date                    0\n",
+       "tweet                   0\n",
+       "hashtags                2\n",
+       "user_id                 2\n",
+       "username                2\n",
+       "name                    7\n",
+       "link                    3\n",
+       "retweet                 3\n",
+       "nlikes                  2\n",
+       "nreplies                3\n",
+       "nretweets               3\n",
+       "quote_url          133479\n",
+       "retweet_id         144036\n",
+       "reply_to                3\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                 0\n",
+       "conversation_id    0\n",
+       "created_at         0\n",
+       "date               0\n",
+       "tweet              0\n",
+       "hashtags           0\n",
+       "user_id            0\n",
+       "username           0\n",
+       "name               0\n",
+       "link               0\n",
+       "retweet            0\n",
+       "nlikes             0\n",
+       "nreplies           0\n",
+       "nretweets          0\n",
+       "reply_to           0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.drop(columns=['quote_url', 'retweet_id'], inplace=True)\n",
+    "test_drop.dropna(inplace=True)\n",
+    "test_drop.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[]                     2\n",
+       "1256719851021897728    2\n",
+       "1256720281038716928    2\n",
+       "1256716917659906050    2\n",
+       "1256720164449468416    2\n",
+       "                      ..\n",
+       "1258825216035188737    1\n",
+       "1256329153134989313    1\n",
+       "1258539046386589698    1\n",
+       "1257656889011249152    1\n",
+       "1257786716036964356    1\n",
+       "Name: id, Length: 144036, dtype: int64"
+      ]
+     },
+     "execution_count": 151,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.id.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(144036, 17)"
+      ]
+     },
+     "execution_count": 157,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop = test_drop.drop_duplicates(subset='id')\n",
+    "test_drop.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01      9749\n",
+       "2020-05-02     12238\n",
+       "2020-05-03      9125\n",
+       "2020-05-04      9646\n",
+       "2020-05-05      9520\n",
+       "2020-05-06      9514\n",
+       "2020-05-07      9563\n",
+       "2020-05-08      9503\n",
+       "2020-05-09      9354\n",
+       "2020-05-10      8967\n",
+       "2020-05-11      9163\n",
+       "2020-05-12      9334\n",
+       "2020-05-13      9457\n",
+       "2020-05-14      9469\n",
+       "2020-05-15      9433\n",
+       "Stat Butler        1\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_drop.groupby('date').tweet.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01    5933\n",
+       "2020-05-02    6192\n",
+       "2020-05-03    5888\n",
+       "2020-05-04    6076\n",
+       "2020-05-05    5939\n",
+       "2020-05-06    5788\n",
+       "2020-05-07    5762\n",
+       "2020-05-08    5457\n",
+       "2020-05-09    5738\n",
+       "2020-05-10    5468\n",
+       "2020-05-11    5676\n",
+       "2020-05-12    5599\n",
+       "2020-05-13    5783\n",
+       "2020-05-14    5613\n",
+       "2020-05-15    5810\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
+    "\n",
+    "test_drop[test_drop.tweet.str.contains(filt)].groupby('date').tweet.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(75000, 15)"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k = test_drop[test_drop.tweet.str.contains(filt)].groupby('date').head(5000)\n",
+    "test_5k.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2020-05-01    5000\n",
+       "2020-05-02    5000\n",
+       "2020-05-03    5000\n",
+       "2020-05-04    5000\n",
+       "2020-05-05    5000\n",
+       "2020-05-06    5000\n",
+       "2020-05-07    5000\n",
+       "2020-05-08    5000\n",
+       "2020-05-09    5000\n",
+       "2020-05-10    5000\n",
+       "2020-05-11    5000\n",
+       "2020-05-12    5000\n",
+       "2020-05-13    5000\n",
+       "2020-05-14    5000\n",
+       "2020-05-15    5000\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 181,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k.groupby('date')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 208,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_5k.to_csv('Datasets/5k_may_1_15_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.639668e+08</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>8.397868e+08</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.210424e+18</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
+       "      <td>3.932328e+07</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.284107e+09</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     id      conversation_id     created_at        date  \\\n",
+       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "4   Coronavirus-Did the US just supply a million f...   \n",
+       "22  Absolutely. Most successful countries address ...   \n",
+       "23  Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24  Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26  I only sneak out every 4 days or so for grocer...   \n",
+       "\n",
+       "                                             hashtags       user_id  \\\n",
+       "4                                                  []  2.639668e+08   \n",
+       "22           ['#coronavirus', '#covid__19', '#masks']  8.397868e+08   \n",
+       "23                                                 []  1.210424e+18   \n",
+       "24  ['#covid__19', '#mask', '#wearamask', '#hack',...  3.932328e+07   \n",
+       "26                                                 []  2.284107e+09   \n",
+       "\n",
+       "           username                name  \\\n",
+       "4    modernactivism     Modern Activism   \n",
+       "22   RealRandyCohen               ARJAY   \n",
+       "23  RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24     themamamaven  Nancy Johnson Horn   \n",
+       "26         NolandTt          Tom Noland   \n",
+       "\n",
+       "                                                 link  retweet  nlikes  \\\n",
+       "4   https://twitter.com/modernactivism/status/1256...    False     0.0   \n",
+       "22  https://twitter.com/RealRandyCohen/status/1256...    False     0.0   \n",
+       "23  https://twitter.com/RSRINIVASABABU1/status/125...    False     0.0   \n",
+       "24  https://twitter.com/themamamaven/status/125637...    False    10.0   \n",
+       "26  https://twitter.com/NolandTt/status/1256372709...    False     1.0   \n",
+       "\n",
+       "    nreplies  nretweets                                           reply_to  \n",
+       "4        0.0        0.0  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22       0.0        0.0  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23       0.0        0.0  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24       1.0        9.0  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26       0.0        0.0  [{'user_id': '2284107283', 'username': 'Noland...  "
+      ]
+     },
+     "execution_count": 209,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may1 = pd.read_csv('Datasets/5k_may_1_15_tweets.csv', index_col=0)\n",
+    "may1.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1261808631747657728</td>\n",
+       "      <td>1261808631747657728</td>\n",
+       "      <td>1589673595000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>Yes - but only for \"crooks who hide their face...</td>\n",
+       "      <td>['#facemasks', '#crime', '#masks', '#ccpvirus'...</td>\n",
+       "      <td>7.905461e+08</td>\n",
+       "      <td>AlanTonelson</td>\n",
+       "      <td>(((Alan Tonelson)))</td>\n",
+       "      <td>https://twitter.com/AlanTonelson/status/126180...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[{'user_id': '790546093', 'username': 'AlanTon...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1261808527766695941</td>\n",
+       "      <td>1261808527766695941</td>\n",
+       "      <td>1589673570000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>12 more deaths, 12 more hospitalizations. \\n\\n...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.033256e+07</td>\n",
+       "      <td>deanbarker</td>\n",
+       "      <td>Dean Barker</td>\n",
+       "      <td>https://twitter.com/deanbarker/status/12618085...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '20332563', 'username': 'deanbark...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1261808522284748805</td>\n",
+       "      <td>1261808522284748805</td>\n",
+       "      <td>1589673569000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>After the fight with Corona Virus,the next fig...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.173606e+18</td>\n",
+       "      <td>gyaigyiimi</td>\n",
+       "      <td>Sb Orlando🇬🇭😊💉</td>\n",
+       "      <td>https://twitter.com/gyaigyiimi/status/12618085...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>[{'user_id': '1173605836725379074', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1261808482380058624</td>\n",
+       "      <td>1261808482380058624</td>\n",
+       "      <td>1589673560000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>rude of coronavirus to ruin mask fetishes for ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.229881e+18</td>\n",
+       "      <td>eliszabethmoss</td>\n",
+       "      <td>ms moss says viva la revolution</td>\n",
+       "      <td>https://twitter.com/eliszabethmoss/status/1261...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '1229881477518778369', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1261808398120747008</td>\n",
+       "      <td>1261808398120747008</td>\n",
+       "      <td>1589673540000</td>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>Face Masks Fashion &amp; Health Care. \\n\\nNow I st...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>5.594146e+08</td>\n",
+       "      <td>dawoodfarsi</td>\n",
+       "      <td>dawood al-farsi | داود الفارسي</td>\n",
+       "      <td>https://twitter.com/dawoodfarsi/status/1261808...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[{'user_id': '559414580', 'username': 'dawoodf...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     id      conversation_id     created_at        date  \\\n",
+       "20  1261808631747657728  1261808631747657728  1589673595000  2020-05-16   \n",
+       "21  1261808527766695941  1261808527766695941  1589673570000  2020-05-16   \n",
+       "22  1261808522284748805  1261808522284748805  1589673569000  2020-05-16   \n",
+       "23  1261808482380058624  1261808482380058624  1589673560000  2020-05-16   \n",
+       "24  1261808398120747008  1261808398120747008  1589673540000  2020-05-16   \n",
+       "\n",
+       "                                                tweet  \\\n",
+       "20  Yes - but only for \"crooks who hide their face...   \n",
+       "21  12 more deaths, 12 more hospitalizations. \\n\\n...   \n",
+       "22  After the fight with Corona Virus,the next fig...   \n",
+       "23  rude of coronavirus to ruin mask fetishes for ...   \n",
+       "24  Face Masks Fashion & Health Care. \\n\\nNow I st...   \n",
+       "\n",
+       "                                             hashtags       user_id  \\\n",
+       "20  ['#facemasks', '#crime', '#masks', '#ccpvirus'...  7.905461e+08   \n",
+       "21                                                 []  2.033256e+07   \n",
+       "22                                                 []  1.173606e+18   \n",
+       "23                                                 []  1.229881e+18   \n",
+       "24                                                 []  5.594146e+08   \n",
+       "\n",
+       "          username                             name  \\\n",
+       "20    AlanTonelson              (((Alan Tonelson)))   \n",
+       "21      deanbarker                      Dean Barker   \n",
+       "22      gyaigyiimi                   Sb Orlando🇬🇭😊💉   \n",
+       "23  eliszabethmoss  ms moss says viva la revolution   \n",
+       "24     dawoodfarsi   dawood al-farsi | داود الفارسي   \n",
+       "\n",
+       "                                                 link  retweet  nlikes  \\\n",
+       "20  https://twitter.com/AlanTonelson/status/126180...    False     0.0   \n",
+       "21  https://twitter.com/deanbarker/status/12618085...    False     2.0   \n",
+       "22  https://twitter.com/gyaigyiimi/status/12618085...    False    43.0   \n",
+       "23  https://twitter.com/eliszabethmoss/status/1261...    False     2.0   \n",
+       "24  https://twitter.com/dawoodfarsi/status/1261808...    False     1.0   \n",
+       "\n",
+       "    nreplies  nretweets                                           reply_to  \n",
+       "20       0.0        1.0  [{'user_id': '790546093', 'username': 'AlanTon...  \n",
+       "21       0.0        0.0  [{'user_id': '20332563', 'username': 'deanbark...  \n",
+       "22       1.0       10.0  [{'user_id': '1173605836725379074', 'username'...  \n",
+       "23       0.0        0.0  [{'user_id': '1229881477518778369', 'username'...  \n",
+       "24       1.0        0.0  [{'user_id': '559414580', 'username': 'dawoodf...  "
+      ]
+     },
+     "execution_count": 210,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may2 = pd.read_csv('Datasets/5k_may_16_31_tweets.csv', index_col=0)\n",
+    "may2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(75000, 15)\n",
+      "(80000, 15)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(may1.shape)\n",
+    "print(may2.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 212,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(155000, 15)"
+      ]
+     },
+     "execution_count": 212,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may = pd.concat([may1, may2])\n",
+    "may.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 214,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "may.to_csv('Datasets/5k_may_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Loading csvs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
+    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
+    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
+    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
+    "months = [jan, feb, mar, apr, may]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 234,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.concat(months)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Obtaining target variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 235,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    df.sentiment_score > .05,\n",
+    "    df.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 334,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(575949, 20)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 257,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.reset_index(drop=True, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 295,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>sentiment_score</th>\n",
+       "      <th>sentiment</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
+       "      <td>-0.8176</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
+       "      <td>-0.8905</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
+       "      <td>0.6705</td>\n",
+       "      <td>positive</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
+       "      <td>-0.7783</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
+       "      <td>-0.2960</td>\n",
+       "      <td>negative</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at       date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
+       "\n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  retweet  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+       "\n",
+       "   nlikes  nreplies  nretweets  \\\n",
+       "0     1.0       0.0        1.0   \n",
+       "1     0.0       0.0        0.0   \n",
+       "2     1.0       1.0        1.0   \n",
+       "3     0.0       0.0        0.0   \n",
+       "4     1.0       0.0        1.0   \n",
+       "\n",
+       "                                                    quote_url  retweet_id  \\\n",
+       "0                                                         NaN         NaN   \n",
+       "1                                                         NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+       "3                                                         NaN         NaN   \n",
+       "4                                                         NaN         NaN   \n",
+       "\n",
+       "                                                                                                                                                reply_to  \\\n",
+       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
+       "\n",
+       "   sentiment_score sentiment  \n",
+       "0          -0.8176  negative  \n",
+       "1          -0.8905  negative  \n",
+       "2           0.6705  positive  \n",
+       "3          -0.7783  negative  \n",
+       "4          -0.2960  negative  "
+      ]
+     },
+     "execution_count": 295,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 19)"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['date'] = df.date.astype('datetime64[ns]')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 19)"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA/Feature Engineering"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    18052\n",
+       "neutral      8223\n",
+       "positive    21355\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.nlikes > 10].groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    105452\n",
+       "neutral      49210\n",
+       "positive    121327\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.nlikes > 0].groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sentiment\n",
+       "negative    221363\n",
+       "neutral     115386\n",
+       "positive    239200\n",
+       "Name: tweet, dtype: int64"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Timestamp('2020-01-01 00:00:00')"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.date[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1\n",
+       "1    1\n",
+       "2    1\n",
+       "3    1\n",
+       "4    1\n",
+       "Name: month, dtype: int64"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['month'] = df.date.apply(lambda x: x.month)\n",
+    "df['month'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    575949.000000\n",
+       "mean          0.017756\n",
+       "std           0.505938\n",
+       "min          -0.998400\n",
+       "25%          -0.381800\n",
+       "50%           0.000000\n",
+       "75%           0.440400\n",
+       "max           0.999600\n",
+       "Name: sentiment_score, dtype: float64"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sentiment_score.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>sentiment</th>\n",
+       "      <th>negative</th>\n",
+       "      <th>neutral</th>\n",
+       "      <th>positive</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.054945</td>\n",
+       "      <td>0.252747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>0.566879</td>\n",
+       "      <td>0.089172</td>\n",
+       "      <td>0.343949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.602564</td>\n",
+       "      <td>0.108974</td>\n",
+       "      <td>0.288462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.587097</td>\n",
+       "      <td>0.083871</td>\n",
+       "      <td>0.329032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.097701</td>\n",
+       "      <td>0.402299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>0.425400</td>\n",
+       "      <td>0.180400</td>\n",
+       "      <td>0.394200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>0.421400</td>\n",
+       "      <td>0.177800</td>\n",
+       "      <td>0.400800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>0.395200</td>\n",
+       "      <td>0.148600</td>\n",
+       "      <td>0.456200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>0.431400</td>\n",
+       "      <td>0.149000</td>\n",
+       "      <td>0.419600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>0.431200</td>\n",
+       "      <td>0.141600</td>\n",
+       "      <td>0.427200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>152 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "sentiment   negative   neutral  positive\n",
+       "date                                    \n",
+       "2020-01-01  0.692308  0.054945  0.252747\n",
+       "2020-01-02  0.566879  0.089172  0.343949\n",
+       "2020-01-03  0.602564  0.108974  0.288462\n",
+       "2020-01-04  0.587097  0.083871  0.329032\n",
+       "2020-01-05  0.500000  0.097701  0.402299\n",
+       "...              ...       ...       ...\n",
+       "2020-05-27  0.425400  0.180400  0.394200\n",
+       "2020-05-28  0.421400  0.177800  0.400800\n",
+       "2020-05-29  0.395200  0.148600  0.456200\n",
+       "2020-05-30  0.431400  0.149000  0.419600\n",
+       "2020-05-31  0.431200  0.141600  0.427200\n",
+       "\n",
+       "[152 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').sentiment.value_counts().unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>sentiment</th>\n",
+       "      <th>negative</th>\n",
+       "      <th>neutral</th>\n",
+       "      <th>positive</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.054945</td>\n",
+       "      <td>0.252747</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>0.566879</td>\n",
+       "      <td>0.089172</td>\n",
+       "      <td>0.343949</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.602564</td>\n",
+       "      <td>0.108974</td>\n",
+       "      <td>0.288462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.587097</td>\n",
+       "      <td>0.083871</td>\n",
+       "      <td>0.329032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.097701</td>\n",
+       "      <td>0.402299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>0.425400</td>\n",
+       "      <td>0.180400</td>\n",
+       "      <td>0.394200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>0.421400</td>\n",
+       "      <td>0.177800</td>\n",
+       "      <td>0.400800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>0.395200</td>\n",
+       "      <td>0.148600</td>\n",
+       "      <td>0.456200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>0.431400</td>\n",
+       "      <td>0.149000</td>\n",
+       "      <td>0.419600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>0.431200</td>\n",
+       "      <td>0.141600</td>\n",
+       "      <td>0.427200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>152 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "sentiment   negative   neutral  positive\n",
+       "date                                    \n",
+       "2020-01-01  0.692308  0.054945  0.252747\n",
+       "2020-01-02  0.566879  0.089172  0.343949\n",
+       "2020-01-03  0.602564  0.108974  0.288462\n",
+       "2020-01-04  0.587097  0.083871  0.329032\n",
+       "2020-01-05  0.500000  0.097701  0.402299\n",
+       "...              ...       ...       ...\n",
+       "2020-05-27  0.425400  0.180400  0.394200\n",
+       "2020-05-28  0.421400  0.177800  0.400800\n",
+       "2020-05-29  0.395200  0.148600  0.456200\n",
+       "2020-05-30  0.431400  0.149000  0.419600\n",
+       "2020-05-31  0.431200  0.141600  0.427200\n",
+       "\n",
+       "[152 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words = stopwords.words('english')\n",
+    "stop_words += ['mask', '#mask',\n",
+    "               'masks', '#masks',\n",
+    "               'face', '#face',\n",
+    "               'facemask', '#facemask',\n",
+    "               'facemasks', '#facemasks', \n",
+    "               'covid', '#covid',\n",
+    "               'covid19', '#covid19',\n",
+    "               'corona', '#corona',\n",
+    "               'coronavirus', '#coronavirus',\n",
+    "               'rona', '#rona',\n",
+    "               'virus', '#virus',\n",
+    "               'viral', '#viral',\n",
+    "               'viruses', '#viruses']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply text cleaning techniques\n",
+    "def clean_text(text, stop_words):\n",
+    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
+    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
+    "    remove stop words.'''\n",
+    "    \n",
+    "    # make text lowercase\n",
+    "    text = text.lower() \n",
+    "    \n",
+    "    # remove mentions\n",
+    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
+    "    \n",
+    "    # remove links\n",
+    "    text = re.sub(r'http\\S+', '', text) \n",
+    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
+    "    \n",
+    "    # convert emoticons\n",
+    "    emoticons = load_dict_emoticons()\n",
+    "    words = text.split()\n",
+    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
+    "    tweet = ' '.join(words_edit)\n",
+    "\n",
+    "    # convert emojis\n",
+    "    text = emoji.demojize(text)\n",
+    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
+    "    \n",
+    "    # remove punctuation\n",
+    "    text = text.replace('...', ' ') # special cases\n",
+    "    text = text.replace('-', ' ')\n",
+    "    text = text.translate(str.maketrans('', '', '!\"$%&*()+,./;<=>?@[\\\\]^_`{|}~')) \n",
+    "    \n",
+    "    # tokenize words\n",
+    "    tokenizer = RegexpTokenizer(\"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    \n",
+    "    # convert contractions\n",
+    "    contractions = load_dict_contractions()\n",
+    "    words = text.split()\n",
+    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
+    "    text = ' '.join(words_edit)\n",
+    "\n",
+    "    # remove stop words\n",
+    "    words = tokenizer.tokenize(text)\n",
+    "    words = [word for word in words if word not in stop_words]\n",
+    "    text = ' '.join(words)\n",
+    "    \n",
+    "    return text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 6min 19s, sys: 2.16 s, total: 6min 21s\n",
+      "Wall time: 6min 24s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0                                                                                                                  death thomas unknown peasant died river\n",
+       "1                                                    ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
+       "2    know joke #ccpchina comes epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst us already dear fellow #hker...\n",
+       "3                                                                                                                            thought death gave horn freak\n",
+       "4                                                      interesting cult death wearing thinkingface electronically posing cia brennan chief facewithmonocle\n",
+       "5    see doctor stuff know war increased quality medical care hospitals start admitting patients even chemical attack doctor rushes spot gives intervie...\n",
+       "6                                                                     plague doctorgas combination sicknesspoison stuff good combination especially coming\n",
+       "7    thoughts cost nothing prayers half unlike costs firefighting equipment like hoses trucks aircraft least thoughts throwing prayers threaten preciou...\n",
+       "8                                                          killed mine miraceibel rosa death counted mining fatality record keeping deaths linked industry\n",
+       "9    also feel like scene phil another pointless addition particularly commenting ben deliberately chosen someone could clown engaged ben knew martin w...\n",
+       "Name: clean_tweet, dtype: object"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%time df['clean_tweet'] = df['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
+    "clean_tweets = df['clean_tweet']\n",
+    "clean_tweets.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "clean_tweets.to_pickle('Datasets/clean_tweets.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clean_tweets.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clean_tweets = pd.read_pickle('Datasets/clean_tweets.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pattern = \"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\"\n",
+    "tokenizer = RegexpTokenizer(pattern)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>#a</th>\n",
+       "      <th>#a4</th>\n",
+       "      <th>#aa</th>\n",
+       "      <th>#aajtak</th>\n",
+       "      <th>#aapi</th>\n",
+       "      <th>#aarogyasetu</th>\n",
+       "      <th>#aarogyasetuapp</th>\n",
+       "      <th>#aarp</th>\n",
+       "      <th>#aatmanirbharbharat</th>\n",
+       "      <th>#ab</th>\n",
+       "      <th>...</th>\n",
+       "      <th>zsasz</th>\n",
+       "      <th>zucker</th>\n",
+       "      <th>zuckerberg</th>\n",
+       "      <th>zuma</th>\n",
+       "      <th>zurich</th>\n",
+       "      <th>zuzana</th>\n",
+       "      <th>zweli</th>\n",
+       "      <th>zy</th>\n",
+       "      <th>zyada</th>\n",
+       "      <th>zzz</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 46067 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   #a  #a4  #aa  #aajtak  #aapi  #aarogyasetu  #aarogyasetuapp  #aarp  \\\n",
+       "0   0    0    0        0      0             0                0      0   \n",
+       "1   0    0    0        0      0             0                0      0   \n",
+       "2   0    0    0        0      0             0                0      0   \n",
+       "3   0    0    0        0      0             0                0      0   \n",
+       "4   0    0    0        0      0             0                0      0   \n",
+       "\n",
+       "   #aatmanirbharbharat  #ab  ...  zsasz  zucker  zuckerberg  zuma  zurich  \\\n",
+       "0                    0    0  ...      0       0           0     0       0   \n",
+       "1                    0    0  ...      0       0           0     0       0   \n",
+       "2                    0    0  ...      0       0           0     0       0   \n",
+       "3                    0    0  ...      0       0           0     0       0   \n",
+       "4                    0    0  ...      0       0           0     0       0   \n",
+       "\n",
+       "   zuzana  zweli  zy  zyada  zzz  \n",
+       "0       0      0   0      0    0  \n",
+       "1       0      0   0      0    0  \n",
+       "2       0      0   0      0    0  \n",
+       "3       0      0   0      0    0  \n",
+       "4       0      0   0      0    0  \n",
+       "\n",
+       "[5 rows x 46067 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer(min_df=5, token_pattern=pattern)\n",
+    "data_cv = cv.fit_transform(clean_tweets)\n",
+    "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_vec.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 46067)"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_vec.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's pickle it for later use\n",
+    "data_vec.to_pickle(\"Datasets/vec.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_vec = pd.read_pickle(\"Datasets/vec.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_vec.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-8-13cd52f9105f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtop_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mtop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mascending\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mtop_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2771\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2772\u001b[0m             \u001b[0;31m# shortcut if the key is in columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2773\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2774\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2775\u001b[0m                     \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "# Find the top 30 words said by each comedian\n",
+    "top_dict = {}\n",
+    "for c in test.columns:\n",
+    "    top = test[c].sort_values(ascending=False).head(30)\n",
+    "    top_dict[c]= list(zip(top.index, top.values))\n",
+    "\n",
+    "top_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Look at the most common top words --> add them to the stop word list\n",
+    "from collections import Counter\n",
+    "\n",
+    "# Let's first pull out the top 30 words for each comedian\n",
+    "words = []\n",
+    "for comedian in test.columns:\n",
+    "    top = [word for (word, count) in top_dict[comedian]]\n",
+    "    for t in top:\n",
+    "        words.append(t)\n",
+    "        \n",
+    "words"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 256,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    2020-01-01\n",
+       "0    2020-02-01\n",
+       "0    2020-03-01\n",
+       "0    2020-04-01\n",
+       "Name: date, dtype: object"
+      ]
+     },
+     "execution_count": 256,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['date'][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>155000.000000</td>\n",
+       "      <td>155000.000000</td>\n",
+       "      <td>155000.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>14.591948</td>\n",
+       "      <td>1.282916</td>\n",
+       "      <td>4.496426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>1108.467257</td>\n",
+       "      <td>33.923692</td>\n",
+       "      <td>338.266606</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>349204.000000</td>\n",
+       "      <td>7955.000000</td>\n",
+       "      <td>121056.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              nlikes       nreplies      nretweets\n",
+       "count  155000.000000  155000.000000  155000.000000\n",
+       "mean       14.591948       1.282916       4.496426\n",
+       "std      1108.467257      33.923692     338.266606\n",
+       "min         0.000000       0.000000       0.000000\n",
+       "25%         0.000000       0.000000       0.000000\n",
+       "50%         0.000000       0.000000       0.000000\n",
+       "75%         2.000000       1.000000       0.000000\n",
+       "max    349204.000000    7955.000000  121056.000000"
+      ]
+     },
+     "execution_count": 221,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may[['nlikes','nreplies','nretweets']].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pos = TextBlob(tweets[2])\n",
+    "print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('masks', 'NNS')\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tag in pos.tags:\n",
+    "    if 'mask' in tag[0]:\n",
+    "        print(tag)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
+      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
+      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
+      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
+      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in tweets[5:10]:\n",
+    "    pos = TextBlob(tweet)\n",
+    "    print(pos.tags)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6480, 10)"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "      <th>pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "      <td>VB</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity pos  \n",
+       "0      0.288889  NN  \n",
+       "1      0.425000  NN  \n",
+       "2      0.000000  VB  \n",
+       "3      0.000000  NN  \n",
+       "4      0.648409  VB  "
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "NN     0.541166\n",
+       "NNS    0.384220\n",
+       "JJ     0.027616\n",
+       "VB     0.022642\n",
+       "VBZ    0.007547\n",
+       "VBP    0.004974\n",
+       "VBN    0.003602\n",
+       "VBD    0.002916\n",
+       "NNP    0.001715\n",
+       "SYM    0.000858\n",
+       "VBG    0.000686\n",
+       "FW     0.000686\n",
+       "RB     0.000515\n",
+       "PRP    0.000343\n",
+       "IN     0.000343\n",
+       "JJR    0.000172\n",
+       "Name: pos, dtype: float64"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.pos.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 231,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1. Get a wrist brace for the carpal tunnel\n",
+      "2. Take a pill for the prostate\n",
+      "3. Get breathe rite strips\n",
+      "4. Get wife apnea mask\n",
+      "5. Take cover until november than vote the orange man out.\n",
+      "Lil bruh said fuck it mask off\n",
+      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
+      "\"fuck it, mask off\"\n",
+      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
+      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
+      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
+      "\n",
+      "Don't spread fake news, thanks. \n",
+      "People is already scared...\n",
+      "Pop smoke dior\n",
+      "Drake war\n",
+      "Futur mask off\n",
+      "fuck it mask off\n",
+      "Fuck it mask off\n",
+      "They really just said \"fuck it mask off\"\n",
+      "Only fck wit rich niggas fck it mask off\n",
+      "Mask on 😷😷\n",
+      "Fuck it mask off 😶😶 type shit\n",
+      "Never gonna stop, give it up, such dirty hands\n",
+      "I always mask it up, for the touch of the dumber kind\n",
+      "My, my, my, aye-aye, whoa!\n",
+      "M-m-m-my carona\n",
+      "fuck it mask off\n",
+      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
+      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 288,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0      spongebob slides sand mountain tree oxygen mask\n",
+       "1    started freshly washed bed sheets face mask be...\n",
+       "2    using coverage yellow card mask fact team lost...\n",
+       "3                                                 mask\n",
+       "4    know mean depressed mask pain let others happy...\n",
+       "5    daughter sick nasty cough weeks ignores advice...\n",
+       "6    grinningcatface pencil aside butt masks yes ex...\n",
+       "7    energy something else post pics generic lookin...\n",
+       "8                      kind mask much one different us\n",
+       "9    market moved given detox scalp mask since prom...\n",
+       "Name: clean_tweet, dtype: object"
+      ]
+     },
+     "execution_count": 288,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
+    "masks_cleaned = masks['clean_tweet']\n",
+    "masks_cleaned.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 290,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 15034 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
+       "0   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
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+       "4   0   0   0   0          0         0     0     0    0       0  ...     0   \n",
+       "\n",
+       "   zorro  zosakonc  zpacks  zsasz  zthickness  zuckerberg  zuko  zurich  \\\n",
+       "0      0         0       0      0           0           0     0       0   \n",
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+       "3      0         0       0      0           0           0     0       0   \n",
+       "4      0         0       0      0           0           0     0       0   \n",
+       "\n",
+       "   zvanetsa  \n",
+       "0         0  \n",
+       "1         0  \n",
+       "2         0  \n",
+       "3         0  \n",
+       "4         0  \n",
+       "\n",
+       "[5 rows x 15034 columns]"
+      ]
+     },
+     "execution_count": 290,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks_cleaned)\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 292,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 294,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
+       " (1,\n",
+       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
+       " (2,\n",
+       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
+       " (3,\n",
+       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
+       " (4,\n",
+       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
+      ]
+     },
+     "execution_count": 294,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1256720837660545024</td>\n",
+       "      <td>1256715090545512449</td>\n",
+       "      <td>1588460571000</td>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>263966773</td>\n",
+       "      <td>modernactivism</td>\n",
+       "      <td>Modern Activism</td>\n",
+       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1256372751314685953</td>\n",
+       "      <td>1256015002651299847</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Absolutely. Most successful countries address ...</td>\n",
+       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
+       "      <td>839786785</td>\n",
+       "      <td>RealRandyCohen</td>\n",
+       "      <td>ARJAY</td>\n",
+       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1256372749720645632</td>\n",
+       "      <td>1588377580000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1210423564052004865</td>\n",
+       "      <td>RSRINIVASABABU1</td>\n",
+       "      <td>R SRINIVASA BABU</td>\n",
+       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1256372718452248576</td>\n",
+       "      <td>1588377573000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
+       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
+       "      <td>39323281</td>\n",
+       "      <td>themamamaven</td>\n",
+       "      <td>Nancy Johnson Horn</td>\n",
+       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1256372709660884992</td>\n",
+       "      <td>1256351905095221248</td>\n",
+       "      <td>1588377570000</td>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2284107283</td>\n",
+       "      <td>NolandTt</td>\n",
+       "      <td>Tom Noland</td>\n",
+       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50377</th>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1257684042209800193</td>\n",
+       "      <td>1588690216000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
+       "      <td>['#coronavirus']</td>\n",
+       "      <td>43413162</td>\n",
+       "      <td>ThirstiesInc</td>\n",
+       "      <td>Thirsties Inc</td>\n",
+       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50379</th>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1257683998983282689</td>\n",
+       "      <td>1588690206000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>As President Trump attempts to project an imag...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>14915067</td>\n",
+       "      <td>witfnews</td>\n",
+       "      <td>WITF news</td>\n",
+       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50381</th>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1257683985439821825</td>\n",
+       "      <td>1588690203000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
+       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
+       "      <td>218949823</td>\n",
+       "      <td>Hellacort</td>\n",
+       "      <td>David Hilycord</td>\n",
+       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50382</th>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1257683964254466049</td>\n",
+       "      <td>1588690198000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>146037421</td>\n",
+       "      <td>briandordevic</td>\n",
+       "      <td>Brian Dordevic 📲📷📈</td>\n",
+       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50383</th>\n",
+       "      <td>1257683935116627968</td>\n",
+       "      <td>1257619031588319234</td>\n",
+       "      <td>1588690191000</td>\n",
+       "      <td>2020-05-05</td>\n",
+       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>757353589966827522</td>\n",
+       "      <td>HRH_LUCY_NL</td>\n",
+       "      <td>HRH Princess Lucy</td>\n",
+       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>25000 rows × 17 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        id      conversation_id     created_at        date  \\\n",
+       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
+       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
+       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
+       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
+       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
+       "...                    ...                  ...            ...         ...   \n",
+       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
+       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
+       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
+       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
+       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
+       "\n",
+       "                                                   tweet  \\\n",
+       "4      Coronavirus-Did the US just supply a million f...   \n",
+       "22     Absolutely. Most successful countries address ...   \n",
+       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
+       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
+       "26     I only sneak out every 4 days or so for grocer...   \n",
+       "...                                                  ...   \n",
+       "50377  \"Clutches have been awesome during #coronaviru...   \n",
+       "50379  As President Trump attempts to project an imag...   \n",
+       "50381  Coronavirus, face masks and America's new faul...   \n",
+       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
+       "50383  @Koning_NL It appears, still the only people w...   \n",
+       "\n",
+       "                                                hashtags              user_id  \\\n",
+       "4                                                     []            263966773   \n",
+       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
+       "23                                                    []  1210423564052004865   \n",
+       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
+       "26                                                    []           2284107283   \n",
+       "...                                                  ...                  ...   \n",
+       "50377                                   ['#coronavirus']             43413162   \n",
+       "50379                                                 []             14915067   \n",
+       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
+       "50382                                                 []            146037421   \n",
+       "50383                                                 []   757353589966827522   \n",
+       "\n",
+       "              username                name  \\\n",
+       "4       modernactivism     Modern Activism   \n",
+       "22      RealRandyCohen               ARJAY   \n",
+       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
+       "24        themamamaven  Nancy Johnson Horn   \n",
+       "26            NolandTt          Tom Noland   \n",
+       "...                ...                 ...   \n",
+       "50377     ThirstiesInc       Thirsties Inc   \n",
+       "50379         witfnews           WITF news   \n",
+       "50381        Hellacort      David Hilycord   \n",
+       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
+       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
+       "\n",
+       "                                                    link  retweet  nlikes  \\\n",
+       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
+       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
+       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
+       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
+       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
+       "...                                                  ...      ...     ...   \n",
+       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
+       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
+       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
+       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
+       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
+       "\n",
+       "       nreplies  nretweets                                          quote_url  \\\n",
+       "4             0          0                                                NaN   \n",
+       "22            0          0                                                NaN   \n",
+       "23            0          0                                                NaN   \n",
+       "24            1          9                                                NaN   \n",
+       "26            0          0                                                NaN   \n",
+       "...         ...        ...                                                ...   \n",
+       "50377         0          0                                                NaN   \n",
+       "50379         0          0                                                NaN   \n",
+       "50381         1          8                                                NaN   \n",
+       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
+       "50383         0          0                                                NaN   \n",
+       "\n",
+       "       retweet_id                                           reply_to  \n",
+       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
+       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
+       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
+       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
+       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
+       "...           ...                                                ...  \n",
+       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
+       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
+       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
+       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
+       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
+       "\n",
+       "[25000 rows x 17 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_5k"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
+     ]
+    }
+   ],
+   "source": [
+    "test.groupby('date').tweet.str.contains('corona').value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
+      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
+      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
+      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
+      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
+      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
+      "Now that there is an ease on Lagos lockdown.\n",
+      "\n",
+      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
+      "\n",
+      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
+      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
+      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
+      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
+      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
+      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
+      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
+      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
+      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
+      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
+      "\n",
+      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
+      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
+      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
+      "\n",
+      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
+      "God the inside of the eye looks like a fuckin rubber mask\n",
+      "mask: on\n",
+      "me: horny \n",
+      "@breanna_gar i’m GEEEEKING rn 😂\n",
+      "Talk about the face mask 😹😹😹\n",
+      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
+      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
+      "\n",
+      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
+      "\n",
+      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
+      "@MayorBowser @GovernorVA\n",
+      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
+      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
+      "oh well lol no mask here either .. ever... \n",
+      "\n",
+      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
+      "Grateful that my neighborhood smells really really good even through a mask\n",
+      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
+      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
+      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
+      "NOW they care? Typical Republican behavior:\n",
+      "Against govnt assistance, until they lose their job.\n",
+      "Against federal aid, until that hurricane hits.\n",
+      "Against womens' right to choose, until someone makes them wear a mask.\n",
+      "#VoteBlueToCleanUpThisCrapAgain\n",
+      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
+      "\n",
+      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
+      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
+      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
+      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
+      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
+      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
+      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
+      "I am just glad the mask covers up her but ugly face.\n",
+      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
+      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
+      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
+      "When will it sink in? This is deadly serious.\n",
+      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
+      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
+      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
+      "Another fake video? Nobody is wearing face mask thou🤔\n",
+      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
+      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
+      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
+      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
+      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for tweet in test.tweet[50:100]:\n",
+    "    print(tweet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
+       "1  Ready to heard this? Homemade hair treatment a...   \n",
+       "2  We all know what a joke #CCPChina is when it c...   \n",
+       "3        Thought death masks gave you the horn freak   \n",
+       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
+       "\n",
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name                                               link  \\\n",
+       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
+       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
+       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
+       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
+       "\n",
+       "   retweet  nlikes  nreplies  nretweets  \\\n",
+       "0    False     1.0       0.0        1.0   \n",
+       "1    False     0.0       0.0        0.0   \n",
+       "2    False     1.0       1.0        1.0   \n",
+       "3    False     0.0       0.0        0.0   \n",
+       "4    False     1.0       0.0        1.0   \n",
+       "\n",
+       "                                           quote_url  retweet_id  \\\n",
+       "0                                                NaN         NaN   \n",
+       "1                                                NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
+       "3                                                NaN         NaN   \n",
+       "4                                                NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '843195118924546048', 'username':...  \n",
+       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
+       "2  [{'user_id': '963032516759207936', 'username':...  \n",
+       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8176"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment[0]['compound']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.000757438644754942"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conditions = [\n",
+    "    masks.sentiment_score > .05,\n",
+    "    masks.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    17100\n",
+       "positive    16882\n",
+       "neutral      7457\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
+       "      <th>date</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.221553e+09</td>\n",
+       "      <td>chong_wh96</td>\n",
+       "      <td>Chong_wH</td>\n",
+       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.075768e+09</td>\n",
+       "      <td>Yamanik30</td>\n",
+       "      <td>ACAB</td>\n",
+       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.209989e+18</td>\n",
+       "      <td>Harry31348302</td>\n",
+       "      <td>Harry</td>\n",
+       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3.156025e+09</td>\n",
+       "      <td>JaceLucena</td>\n",
+       "      <td>katka</td>\n",
+       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.223758e+18</td>\n",
+       "      <td>1.580602e+12</td>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>1.583843e+07</td>\n",
+       "      <td>nyman11209</td>\n",
+       "      <td>Hobonator</td>\n",
+       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
+       "\n",
+       "                                               tweet hashtags       user_id  \\\n",
+       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
+       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
+       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
+       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
+       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
+       "\n",
+       "        username       name  \\\n",
+       "0     chong_wh96   Chong_wH   \n",
+       "1      Yamanik30       ACAB   \n",
+       "2  Harry31348302      Harry   \n",
+       "3     JaceLucena      katka   \n",
+       "4     nyman11209  Hobonator   \n",
+       "\n",
+       "                                                link retweet  nlikes  \\\n",
+       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
+       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
+       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
+       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
+       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
+       "\n",
+       "   nreplies  nretweets quote_url  retweet_id  \\\n",
+       "0       0.0        0.0       NaN         NaN   \n",
+       "1       0.0        0.0       NaN         NaN   \n",
+       "2       0.0        0.0       NaN         NaN   \n",
+       "3       0.0        1.0       NaN         NaN   \n",
+       "4       0.0        0.0       NaN         NaN   \n",
+       "\n",
+       "                                            reply_to  \n",
+       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
+       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
+       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
+       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
+       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "masks2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks2.sentiment_score > .05,\n",
+    "    masks2.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    38152\n",
+       "positive    31819\n",
+       "neutral     14237\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.03440293915067452"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks2.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    }
+   ],
+   "source": [
+    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
+    "\n",
+    "conditions = [\n",
+    "    masks3.sentiment_score > .05,\n",
+    "    masks3.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "negative    34682\n",
+       "positive    32128\n",
+       "neutral     13190\n",
+       "Name: sentiment, dtype: int64"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.013039305000000001"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks3.sentiment_score.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 The new police issue masks might not prevent covid19 identifying them as human.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "1 Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "2 … I guess Nancy can put in masks for everyone in her coronavirus funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "3 Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "4 Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
+      "\n",
+      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "5 all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "6 Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
+      "\n",
+      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "7 This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
+      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "8 I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "9 Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "10 I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "11 From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "12 Cara mengingat pencegahan virus\n",
+      " W-U-H-A-N:\n",
+      "\n",
+      "Bahasa Inggris*\n",
+      "\n",
+      "*W* - wash hands\n",
+      "*U* - use mask properly\n",
+      "*H* - have temperature checked regularly\n",
+      "*A* - avoid large crowds\n",
+      "*N* - never touch your face with unclean hands\n",
+      "\n",
+      "#CoronaVirusIndonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "13 Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "14 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "15 Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
+      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "16 I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "17 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "18 #coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "19 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "20 Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "21 Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "22 trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
+      "\n",
+      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "23 \"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "24 So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
+      "\n",
+      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
+      "\n",
+      "#CoronaVirusUpdate \n",
+      "@TheUnhingedOne_\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "25 Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "26 It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "27 99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
+      "\n",
+      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "28 No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "29 The Coronavirus is freaking me out. At least I got some masks. 😷\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "30 If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "31 Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "32 Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "33 the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "34 Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "35 😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "36 Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "37 How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "38 Current in demand items selling out in stores but available on Amazon: \n",
+      "Water  https://amzn.to/2vurRCi \n",
+      "Masks  https://amzn.to/2wT7M8X \n",
+      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
+      "ad \n",
+      "#coronavirus #coronavirusus #coronavirususa\n",
+      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
+      "#coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "39 It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "40 I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "41 N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "42 If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "43 There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "44 at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "45 No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
+      "\n",
+      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "46 The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "47 A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
+      "\n",
+      "Don’t give me , washing hands is better malarkey. \n",
+      "\n",
+      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
+      "\n",
+      "#coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "48 Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "49 I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i, tweet in enumerate(masks3['tweet'].head(50)):\n",
+    "    print(i, tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 207,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 new police issue might prevent identifying human\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "1 wear need go outside benefit using benefit much basic hygiene manners\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "2 guess nancy put everyone funding\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "3 washing hands disinfecting electronics save\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "4 americans worried need buy us surgeon general says\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "5 people worried start wearing guess made china facewithtearsofjoy\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "6 get toilet paper sanitizer paper towels tissues vodka next people waiting line hours stores open buy stuff going try luck costco today #japan #coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "7 webinar discuss research related long term respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register #emgtwitter\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "8 went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "9 yet wear worried leading charge\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "10 backed next gen pollution filtration botanicals\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "11 doctors talked apparently help effective hand washing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "12 cara mengingat pencegahan w u h n bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands #coronavirusindonesia\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "13 also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "14 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "15 since medical running stock try going environmentally friendly getting reusable\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "16 seeing glammed love #blackpeople going fly regardless #periodtttt\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "17 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "18 #nyc panic shopping brunch packed\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "19 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "20 living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "21 crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "22 trump empathy compassion care people die cares think poe red death mar lago hideaway wall country ravaged disease\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "23 ny panic shopping brunch packed kimiko de freytas tamura via nyt check contact us small business needs\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "24 stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy #coronavirusupdate\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "25 snapchat shoulda made filters irl could keep cute\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "26 moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "27 people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "28 need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "29 freaking least got facewithmedicalmask\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "30 need go see doctor example wear surgical protect others needed unwell go\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "31 okay celeb wearing met gala year saying fit inspired\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "32 seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "33 funniest part basic protect either lol requires n respirator\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "34 informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "35 facewithmedicalmask prevent experts say depends\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "36 wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "37 prepare washing hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "38 current demand items selling stores available amazon water hand sanitizer ad #coronavirusus #coronavirususa #sarscov19 #sarscov2 #china #wuhan #flu #coronavid19\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "39 ironic say saying effective preventing infection\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "40 refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipeline deadline soon possible yea\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "41 n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "42 one doctors tells wear protect totally dysfunctional immune system going wear\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "43 babies flight today see one person huge airport media democrats worried\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "44 job home depot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "45 need might increase infection risk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "46 authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "47 question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched #coronavirusuk\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "48 damn surgical block incompetent send flood god\n",
+      "\n",
+      "-----------------------------\n",
+      "\n",
+      "49 interested raising fears canada suggesting wear speculating financial impact canada #housing think slow hot housing markets usher correction markets #ldnont\n",
+      "\n",
+      "-----------------------------\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i, tweet in enumerate(masks3['cleaned_tweet'].head(50)):\n",
+    "    print(i, tweet)\n",
+    "    print('\\n-----------------------------\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+      ],
+      "text/plain": [
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+       "\n",
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+       "\n",
+       "[5 rows x 56317 columns]"
+      ]
+     },
+     "execution_count": 113,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "\n",
+    "cv = CountVectorizer()\n",
+    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
+    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_dtm.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
+    "# One of the required inputs is a term-document matrix\n",
+    "tdm = data_dtm.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.018*\"hand\" + 0.013*\"sanitizer\" + 0.012*\"people\" + 0.008*\"get\" + 0.008*\"wear\" + 0.008*\"like\" + 0.007*\"gloves\" + 0.007*\"facewithmedicalmask\" + 0.007*\"paper\" + 0.006*\"got\"'),\n",
+       " (1,\n",
+       "  '0.015*\"hospital\" + 0.012*\"health\" + 0.011*\"staff\" + 0.010*\"patients\" + 0.010*\"care\" + 0.010*\"nurse\" + 0.006*\"new\" + 0.006*\"workers\" + 0.006*\"hospitals\" + 0.006*\"medical\"'),\n",
+       " (2,\n",
+       "  '0.023*\"us\" + 0.022*\"doctors\" + 0.022*\"gloves\" + 0.020*\"nurses\" + 0.019*\"china\" + 0.018*\"kits\" + 0.016*\"without\" + 0.015*\"test\" + 0.013*\"risk\" + 0.011*\"million\"'),\n",
+       " (3,\n",
+       "  '0.028*\"facewithtearsofjoy\" + 0.023*\"wearing\" + 0.021*\"gas\" + 0.013*\"man\" + 0.013*\"one\" + 0.011*\"wore\" + 0.009*\"house\" + 0.009*\"rollingonthefloorlaughing\" + 0.007*\"via\" + 0.006*\"gaetz\"'),\n",
+       " (4,\n",
+       "  '0.026*\"people\" + 0.021*\"wear\" + 0.020*\"wearing\" + 0.012*\"infected\" + 0.012*\"need\" + 0.011*\"protect\" + 0.010*\"get\" + 0.009*\"hands\" + 0.008*\"like\" + 0.008*\"sick\"')]"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
+    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n",
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>username</th>\n",
+       "      <th>tweet</th>\n",
+       "      <th>hashtags</th>\n",
+       "      <th>nlikes</th>\n",
+       "      <th>nreplies</th>\n",
+       "      <th>retweet</th>\n",
+       "      <th>nretweets</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>Matt04181</td>\n",
+       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>standtallx</td>\n",
+       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>5_Times_LFC</td>\n",
+       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
+       "      <td>[#classicjose, #coverup]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>kagura_shelby</td>\n",
+       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>IBdaSweet1</td>\n",
+       "      <td>I know what you mean, I've been depressed too ...</td>\n",
+       "      <td>[#hugs]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  date       username  \\\n",
+       "0  2020-01-01 18:59:56      Matt04181   \n",
+       "1  2020-01-01 18:59:55     standtallx   \n",
+       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
+       "3  2020-01-01 18:59:37  kagura_shelby   \n",
+       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "\n",
+       "                                               tweet  \\\n",
+       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
+       "1  Started 2020 with freshly washed bed sheets, a...   \n",
+       "2  Using the coverage of his yellow card to mask ...   \n",
+       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
+       "4  I know what you mean, I've been depressed too ...   \n",
+       "\n",
+       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
+       "0                        []       4         0    False          0 -0.155556   \n",
+       "1                        []       3         2    False          0  0.012500   \n",
+       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
+       "3                        []       3         0    False          0  0.000000   \n",
+       "4                   [#hugs]       1         0    False          0  0.271591   \n",
+       "\n",
+       "   subjectivity  \n",
+       "0      0.288889  \n",
+       "1      0.425000  \n",
+       "2      0.000000  \n",
+       "3      0.000000  \n",
+       "4      0.648409  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
+    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "masks.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('ticks')\n",
+    "\n",
+    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 18:59:56</td>\n",
+       "      <td>-0.155556</td>\n",
+       "      <td>0.288889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 18:59:55</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.425000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 18:59:43</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 18:59:37</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 18:59:24</td>\n",
+       "      <td>0.271591</td>\n",
+       "      <td>0.648409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 date  polarity  subjectivity\n",
+       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
+       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
+       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
+       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
+       "4 2020-01-01 18:59:24  0.271591      0.648409"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
+    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
+    "masks_ts.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
+       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
+       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
+       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
+       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
+       "               ...\n",
+       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
+       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
+       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
+       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
+       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts.set_index('date', inplace=True)\n",
+    "masks_ts.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>polarity</th>\n",
+       "      <th>subjectivity</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>0.004358</td>\n",
+       "      <td>0.369293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>-0.001089</td>\n",
+       "      <td>0.379444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>0.111727</td>\n",
+       "      <td>0.440448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>0.040365</td>\n",
+       "      <td>0.383991</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>0.047351</td>\n",
+       "      <td>0.418947</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            polarity  subjectivity\n",
+       "date                              \n",
+       "2020-01-01  0.004358      0.369293\n",
+       "2020-01-02 -0.001089      0.379444\n",
+       "2020-01-03  0.111727      0.440448\n",
+       "2020-01-04  0.040365      0.383991\n",
+       "2020-01-05  0.047351      0.418947"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "masks_ts_daily = masks_ts.resample('D').mean()\n",
+    "masks_ts_daily.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime\n",
+    "\n",
+    "dates = []\n",
+    "start_date = datetime.date(2020, 1, 1)\n",
+    "end_date = datetime.date(2020, 6, 11)\n",
+    "delta = datetime.timedelta(days=1)\n",
+    "\n",
+    "while start_date <= end_date:\n",
+    "    dates.append(str(start_date))\n",
+    "    start_date += delta"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/sentiment_stacked_line.png b/sentiment_stacked_line.png
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diff --git a/twitter_scraping_notebook-Copy1.ipynb b/twitter_scraping_notebook-Copy1.ipynb
new file mode 100644
index 0000000..347c7f0
--- /dev/null
+++ b/twitter_scraping_notebook-Copy1.ipynb
@@ -0,0 +1,406 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from datetime import datetime\n",
+    "\n",
+    "import twint\n",
+    "\n",
+    "# Fixes runtime errors with twint\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()\n",
+    "\n",
+    "from textblob import TextBlob\n",
+    "\n",
+    "import matplotlib\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Scrape Tweets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):\n",
+    "    '''\n",
+    "    Function to return a pandas dataframe of tweets in English containing search terms using twint.\n",
+    "    Required parameter: search term.\n",
+    "    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).\n",
+    "    '''\n",
+    "    c = twint.Config()\n",
+    "    c.Lang = 'en'\n",
+    "    c.Search = search\n",
+    "    c.Username = username\n",
+    "    c.Since = since\n",
+    "    c.Until = until\n",
+    "    c.Limit = limit\n",
+    "    c.Pandas = True\n",
+    "    # Hide the printing of every tweet during scrape\n",
+    "    c.Hide_output = True\n",
+    "    twint.run.Search(c)\n",
+    "    df = twint.storage.panda.Tweets_df\n",
+    "    # Transform date string into datetime object\n",
+    "    df['date'] = pd.to_datetime(df['date']).dt.date\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):\n",
+    "    '''\n",
+    "    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.\n",
+    "    Periodically saves progress to CSV after each daily search.\n",
+    "    Required parameters: start date, end date, search term.\n",
+    "    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).\n",
+    "    '''\n",
+    "    df = pd.DataFrame()\n",
+    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
+    "    for d in range(len(date_range) - 1):\n",
+    "        since = date_range[d].strftime('%Y-%m-%d')\n",
+    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
+    "        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)\n",
+    "        # Drop empty columns\n",
+    "        day_df.drop(columns=drop_cols, axis=1, inplace=True)\n",
+    "        # Add new daily data to dataframe, reset index, save to CSV\n",
+    "        df = pd.concat([df, day_df])\n",
+    "        del day_df\n",
+    "        df.reset_index(drop=True, inplace=True)\n",
+    "        df.to_csv(f'Datasets/{filename}.csv')\n",
+    "        print(datetime.now(), f'{since} Saved!')\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Search loop params for March tweets\n",
+    "\n",
+    "start_date = '2020-03-17'\n",
+    "\n",
+    "end_date = '2020-04-01'\n",
+    "\n",
+    "search = '(mask OR masks)'\n",
+    "\n",
+    "filename = 'march17_tweets'\n",
+    "\n",
+    "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
+    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
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+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-16 15:10:32.864793 2020-03-17 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
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+      "sleeping for 125.0 secs\n",
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+      "sleeping for 216.0 secs\n",
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+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2020-06-16 16:56:39.256866 2020-03-18 Saved!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CRITICAL:root:twint.output:checkData:copyrightedTweet\n",
+      "CRITICAL:root:twint.output:checkData:copyrightedTweet\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 125.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 216.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 1.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 8.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 27.0 secs\n",
+      "CRITICAL:root:twint.run:Twint:Feed:noDataExpecting value: line 1 column 1 (char 0)\n",
+      "sleeping for 64.0 secs\n"
+     ]
+    }
+   ],
+   "source": [
+    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename, drop_cols=drop_cols)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "len(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

From 35d1946f4654277b02b11119771a6a0e553850b0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Wed, 17 Jun 2020 22:46:52 -0400
Subject: [PATCH 13/14] cleaning up

---
 .DS_Store                                     |  Bin 6148 -> 10244 bytes
 .../data_cleaning_notebook-Copy1.ipynb        |    0
 .../data_cleaning_notebook.ipynb              |    2 +-
 .../eda_visualizations_notebook-JOSH.ipynb    |    0
 ..._scraping_notebook-backup_0612-night.ipynb |    0
 ...craping_notebook-backup_0615-evening.ipynb |    0
 ...r_scraping_notebook-backup_0616-noon.ipynb |    0
 .../josh-workbook-MODELS.ipynb                |    0
 .../josh-workbook-backup_0616-night.ipynb     |    0
 .../josh-workbook.ipynb                       |    0
 .../josh-workbook_COPY.ipynb                  |    0
 .../josh-workbook_COPY_MINEEEE.ipynb          |    0
 .../josh-workbook_w_top_words_wordcloud.ipynb |    0
 .../modeling_notebook-JOSH.ipynb              |    0
 .../twitter_scraping_notebook-Copy1.ipynb     |    0
 eda_visualizations_notebook-Copy1.ipynb       |  802 ---
 eda_visualizations_notebook.ipynb             |    2 +-
 functions.py                                  |    6 +
 lda_sentiment_stacked_bar.png                 |  Bin 156941 -> 0 bytes
 models/lda_model_10_topics_10_passes.pkl      |  Bin 0 -> 421744 bytes
 lda_v1.pkl => models/lda_v1.pkl               |  Bin
 nlp_features_notebook-Copy1.ipynb             | 5813 ---------------
 nlp_features_notebook.ipynb                   | 6394 ++++-------------
 sentiment_stacked_line.png                    |  Bin 258650 -> 0 bytes
 sentiment_stacked_line_top20.png              |  Bin 725123 -> 0 bytes
 top25_words_bar.png                           |  Bin 151594 -> 0 bytes
 top25_words_bar_twitter-blue.png              |  Bin 151912 -> 0 bytes
 wordcloud.jpg                                 |  Bin 189382 -> 0 bytes
 wordcloud_top100.jpg                          |  Bin 151232 -> 0 bytes
 29 files changed, 1314 insertions(+), 11705 deletions(-)
 rename data_cleaning_notebook-Copy1.ipynb => archives/data_cleaning_notebook-Copy1.ipynb (100%)
 rename data_cleaning_notebook.ipynb => archives/data_cleaning_notebook.ipynb (99%)
 rename eda_visualizations_notebook-JOSH.ipynb => archives/eda_visualizations_notebook-JOSH.ipynb (100%)
 rename josh-twitter_scraping_notebook-backup_0612-night.ipynb => archives/josh-twitter_scraping_notebook-backup_0612-night.ipynb (100%)
 rename josh-twitter_scraping_notebook-backup_0615-evening.ipynb => archives/josh-twitter_scraping_notebook-backup_0615-evening.ipynb (100%)
 rename josh-twitter_scraping_notebook-backup_0616-noon.ipynb => archives/josh-twitter_scraping_notebook-backup_0616-noon.ipynb (100%)
 rename josh-workbook-MODELS.ipynb => archives/josh-workbook-MODELS.ipynb (100%)
 rename josh-workbook-backup_0616-night.ipynb => archives/josh-workbook-backup_0616-night.ipynb (100%)
 rename josh-workbook.ipynb => archives/josh-workbook.ipynb (100%)
 rename josh-workbook_COPY.ipynb => archives/josh-workbook_COPY.ipynb (100%)
 rename josh-workbook_COPY_MINEEEE.ipynb => archives/josh-workbook_COPY_MINEEEE.ipynb (100%)
 rename josh-workbook_w_top_words_wordcloud.ipynb => archives/josh-workbook_w_top_words_wordcloud.ipynb (100%)
 rename modeling_notebook-JOSH.ipynb => archives/modeling_notebook-JOSH.ipynb (100%)
 rename twitter_scraping_notebook-Copy1.ipynb => archives/twitter_scraping_notebook-Copy1.ipynb (100%)
 delete mode 100644 eda_visualizations_notebook-Copy1.ipynb
 delete mode 100644 lda_sentiment_stacked_bar.png
 create mode 100644 models/lda_model_10_topics_10_passes.pkl
 rename lda_v1.pkl => models/lda_v1.pkl (100%)
 delete mode 100644 nlp_features_notebook-Copy1.ipynb
 delete mode 100644 sentiment_stacked_line.png
 delete mode 100644 sentiment_stacked_line_top20.png
 delete mode 100644 top25_words_bar.png
 delete mode 100644 top25_words_bar_twitter-blue.png
 delete mode 100644 wordcloud.jpg
 delete mode 100644 wordcloud_top100.jpg

diff --git a/.DS_Store b/.DS_Store
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diff --git a/data_cleaning_notebook-Copy1.ipynb b/archives/data_cleaning_notebook-Copy1.ipynb
similarity index 100%
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index 85efdb8..ff16214 100644
--- a/data_cleaning_notebook.ipynb
+++ b/archives/data_cleaning_notebook.ipynb
@@ -5443,7 +5443,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,
diff --git a/eda_visualizations_notebook-JOSH.ipynb b/archives/eda_visualizations_notebook-JOSH.ipynb
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diff --git a/josh-workbook_w_top_words_wordcloud.ipynb b/archives/josh-workbook_w_top_words_wordcloud.ipynb
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diff --git a/eda_visualizations_notebook-Copy1.ipynb b/eda_visualizations_notebook-Copy1.ipynb
deleted file mode 100644
index 139ffdd..0000000
--- a/eda_visualizations_notebook-Copy1.ipynb
+++ /dev/null
@@ -1,802 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Imports"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "\n",
-    "import matplotlib\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline\n",
-    "import seaborn as sns; sns.set_style('ticks')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pd.set_option('max_colwidth', 250)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 19)"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['date'] = pd.to_datetime(df['date'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# EDA"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>sentiment_score</th>\n",
-       "      <th>sentiment</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
-       "      <td>-0.8176</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut the fuck up  pic.twitter.com/YVsuQkk51k</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
-       "      <td>-0.8905</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #HK im sure the infected are amongst us already.\\nDear fellow #HKers, wear a mask😷its the least we can...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
-       "      <td>0.6705</td>\n",
-       "      <td>positive</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
-       "      <td>-0.7783</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'TelegraphNews'}]</td>\n",
-       "      <td>-0.2960</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at       date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
-       "\n",
-       "                                                                                                                                                                                                                                                       tweet  \\\n",
-       "0                                                                                                                                                   https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
-       "1                                                                    Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut the fuck up  pic.twitter.com/YVsuQkk51k   \n",
-       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #HK im sure the infected are amongst us already.\\nDear fellow #HKers, wear a mask😷its the least we can...   \n",
-       "3                                                                                                                                                                                                                Thought death masks gave you the horn freak   \n",
-       "4                                                                                                                                   Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name  \\\n",
-       "0               MLTSHP   \n",
-       "1                 MiLu   \n",
-       "2             odiecher   \n",
-       "3       Ashley Collins   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
-       "\n",
-       "                                                            link  retweet  \\\n",
-       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
-       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
-       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
-       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
-       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
-       "\n",
-       "   nlikes  nreplies  nretweets  \\\n",
-       "0     1.0       0.0        1.0   \n",
-       "1     0.0       0.0        0.0   \n",
-       "2     1.0       1.0        1.0   \n",
-       "3     0.0       0.0        0.0   \n",
-       "4     1.0       0.0        1.0   \n",
-       "\n",
-       "                                                    quote_url  retweet_id  \\\n",
-       "0                                                         NaN         NaN   \n",
-       "1                                                         NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
-       "3                                                         NaN         NaN   \n",
-       "4                                                         NaN         NaN   \n",
-       "\n",
-       "                                                                                                                                                    reply_to  \\\n",
-       "0                                                                                          [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-       "1                                                                                              [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-       "2                                                                                                [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-       "3                                     [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'TelegraphNews'}]   \n",
-       "\n",
-       "   sentiment_score sentiment  \n",
-       "0          -0.8176  negative  \n",
-       "1          -0.8905  negative  \n",
-       "2           0.6705  positive  \n",
-       "3          -0.7783  negative  \n",
-       "4          -0.2960  negative  "
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
-       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
-       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
-       "       'sentiment'],\n",
-       "      dtype='object')"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.keys()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>sentiment</th>\n",
-       "      <th>negative</th>\n",
-       "      <th>neutral</th>\n",
-       "      <th>positive</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.692308</td>\n",
-       "      <td>0.054945</td>\n",
-       "      <td>0.252747</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>0.566879</td>\n",
-       "      <td>0.089172</td>\n",
-       "      <td>0.343949</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.602564</td>\n",
-       "      <td>0.108974</td>\n",
-       "      <td>0.288462</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.587097</td>\n",
-       "      <td>0.083871</td>\n",
-       "      <td>0.329032</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.500000</td>\n",
-       "      <td>0.097701</td>\n",
-       "      <td>0.402299</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-27</th>\n",
-       "      <td>0.425400</td>\n",
-       "      <td>0.180400</td>\n",
-       "      <td>0.394200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-28</th>\n",
-       "      <td>0.421400</td>\n",
-       "      <td>0.177800</td>\n",
-       "      <td>0.400800</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-29</th>\n",
-       "      <td>0.395200</td>\n",
-       "      <td>0.148600</td>\n",
-       "      <td>0.456200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-30</th>\n",
-       "      <td>0.431400</td>\n",
-       "      <td>0.149000</td>\n",
-       "      <td>0.419600</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-31</th>\n",
-       "      <td>0.431200</td>\n",
-       "      <td>0.141600</td>\n",
-       "      <td>0.427200</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>152 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "sentiment   negative   neutral  positive\n",
-       "date                                    \n",
-       "2020-01-01  0.692308  0.054945  0.252747\n",
-       "2020-01-02  0.566879  0.089172  0.343949\n",
-       "2020-01-03  0.602564  0.108974  0.288462\n",
-       "2020-01-04  0.587097  0.083871  0.329032\n",
-       "2020-01-05  0.500000  0.097701  0.402299\n",
-       "...              ...       ...       ...\n",
-       "2020-05-27  0.425400  0.180400  0.394200\n",
-       "2020-05-28  0.421400  0.177800  0.400800\n",
-       "2020-05-29  0.395200  0.148600  0.456200\n",
-       "2020-05-30  0.431400  0.149000  0.419600\n",
-       "2020-05-31  0.431200  0.141600  0.427200\n",
-       "\n",
-       "[152 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Proportion of sentiments by day\n",
-    "df.groupby('date')['sentiment'].value_counts(normalize=True).unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None,\n",
-       " None]"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
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-      "text/plain": [
-       "<Figure size 1440x864 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Proportion of sentiments by day\n",
-    "sent_by_day = df.groupby('date')['sentiment'].value_counts(normalize=True).unstack()\n",
-    "\n",
-    "# Plot a stacked line graph\n",
-    "p1 = sent_by_day.plot.area(stacked = True, figsize=(20,12),\n",
-    "                           color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
-    "\n",
-    "p1.set_title('Tweet Sentiment Distribution Over Time', fontsize=30, pad=15)\n",
-    "p1.set_xlabel('Date', fontsize=28)\n",
-    "p1.set_ylabel('Sentiment (%)', fontsize=28, labelpad=15)\n",
-    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1, fontsize=25)\n",
-    "plt.setp(p1.get_xticklabels(), fontsize=22)\n",
-    "plt.setp(p1.get_yticklabels(), fontsize=22)\n",
-    "\n",
-    "# plt.savefig('sentiment_stacked_line.png')\n",
-    "# plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(3040, 19)"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Create dataframe of top twenty tweets per day by likes\n",
-    "top_20_by_day = []\n",
-    "for i in df.groupby('date')['nlikes'].nlargest(20).index:\n",
-    "    top_20_by_day.append(i[1])\n",
-    "    \n",
-    "top_20_by_day = df.loc[top_20_by_day]\n",
-    "top_20_by_day.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x1264a4c18>"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x864 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Proportion of sentiments of top twenty tweets by day\n",
-    "sent_top_20_by_day = top_20_by_day.groupby('date')['sentiment'].value_counts(normalize=True).unstack()\n",
-    "\n",
-    "# Plot a stacked line graph\n",
-    "p1 = sent_top_20_by_day.plot.area(stacked = True, figsize=(20,12),\n",
-    "                           color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
-    "\n",
-    "p1.set_title('Sentiment of Daily Top Twenty Tweets', fontsize=30, pad=10)\n",
-    "p1.set_xlabel('Date', fontsize=28)\n",
-    "p1.set_ylabel('Sentiment (%)', fontsize=28, labelpad=15)\n",
-    "plt.setp(p1.get_xticklabels(), fontsize=22)\n",
-    "plt.setp(p1.get_yticklabels(), fontsize=22)\n",
-    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1, fontsize=25)\n",
-    "\n",
-    "# p1.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Top 100 tweets by number of likes\n",
-    "top_100_likes = df['nlikes'].sort_values(ascending=False).head(100).index\n",
-    "top_100_likes = df.loc[top_100_likes]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    46\n",
-       "positive    40\n",
-       "neutral     14\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "top_100_likes['sentiment'].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Top 1000 tweets by number of likes\n",
-    "top_1000_likes = df['nlikes'].sort_values(ascending=False).head(1000).index\n",
-    "top_1000_likes = df.loc[top_1000_likes]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "positive    451\n",
-       "negative    410\n",
-       "neutral     139\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "top_1000_likes['sentiment'].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Top 10000 tweets by number of likes\n",
-    "top_10000_likes = df['nlikes'].sort_values(ascending=False).head(10000).index\n",
-    "top_10000_likes = df.loc[top_10000_likes]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "positive    4474\n",
-       "negative    3932\n",
-       "neutral     1594\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "top_10000_likes['sentiment'].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "((239200, 19), (115386, 19), (115386, 19))"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Create dataframes for positive, neutral and negative sentiment\n",
-    "positive_df = df[df['sentiment'] == 'positive']\n",
-    "neutral_df = df[df['sentiment'] == 'neutral']\n",
-    "negative_df = df[df['sentiment'] == 'neutral']\n",
-    "\n",
-    "positive_df.shape, neutral_df.shape, negative_df.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f9bcf535a50>"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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j40d6PuNw/fJ+/MQuwtfVL2bXVwHvzjZXXAx8vp4dl3QC2JZdH+4HNJqt5+I3NfUnXbvxE9db8KtRg5wKGc84cgVuhdBothaAvfVaddtS9+u16n2NZut/4x1Y+3H6DXRFnIx/GPp5WAmHWF6C73j/5UhLO3V/0PI7gXdmA+hVeOfhN+Pb5BsP9+xxMs4BRaBPf5PFxDKeX3X0KEvSBgqNZqtUP3RX8Sr8AHE4S+XxpAUHrB2L6S9Zn6j0nqwsBu+Q3edwiuXG7HqIEvwkuR7vZ3oZXim5P7O+3JjdvwLvu5owsEOUrD3WT9xhu8vhWrzF6xWZ3+9W4H8NLpOfQAY3MvQVmG/hfeAMvly2ZnEGFbhj6adOSL9cr1WvB65v+J3Xz8ZboN6G3wjxYL1Wvekorzhc/VwPdPpttl6rzmdWvtdmhoKXZ/E+dZjnj4fvz65fhif8t/sbLH4UuL5eq85m936JRQrcKZLxjCP3gVs53AVsaTRbSypwGX2FvD+b7y9dXLQ4YqPZ2t5otj6ZOXKfyRwpD5dkefhvp1imw9E//+0zh4vQaLZ+o9FsfS5boqJeq+6s16ofxfvUzHHwDrgTxfOXCLsyu/YPXu5b9A5SJDJF6ynHmW5/KeOFS9zr+96dkF8GyJYiHwUuyGQ+qekdhcPmu9FsbcZbFL69SMl/WraJZzDuCL7eP754efUEcCP+m1+e/feVLPw7HPCDuxK/tD+o/N+OP3pl6+IXNpqtl2Xt8bmL7z1JPotXJF/FgeXTTx4++vFTr1XvwltO++VyS71WTTIrTt8P7kpgxyLfrGPpp55Uv9xotiqNZuuLjWbr5zOZ03qt+o16rfpu4OezaMvpR563OCAbX87m0APZ+4pQ/xtMsbRrxDGTbYD5Cbxi+09Z8PPxluy/qteqn+srbxnbD/OqkybjmUquwK0c/hL/vT7Z8OeIHUTDnyn0dvxyRb/SfgI/a/zVhj/xuh93CO/X8hMMmKyPkb6f0sm24vbP63p3Y+DohawMPgy8Bljs5LpcTkgeGs2WbPhjAl6JHwA/doToI/gO5nWLwp+Kd8p9ZCDsRJXxb2XKQF/ep+HL7QEODNz9elBf5DDfd8BejF2GXJ/Iru9uNFtPnF+YKSrvwtfNox1Bcyx8Aq+AvnswMPPxei0+j9ct8dyJ5u/xg9FbMv+dvhwCf/6fwG9aGSRi4PyrjN/Fn311wo9AyJSym/GWiu1k9SDbNPIVvFX4Qg4tr37dfm9m+QGe8FP6K7y/3pNpj4fUqWwJ/sv4Xes/hvep/Y/F8U4gN+D91J7HgfYBXum9GK/AHa5cltNPHWu/fFA/kH275wO/1mi2Fm+G6vvUPcLRqTb8zzP20xf4Oic4tF1eh19afRN+peEzS/g1HzNZ+XwR7wv5ngHrZX9CuXVR/Bfhf01jKU6KjGcy+RLqCqFeq348U9LeBjyYLXXsxPtpXIhvuD3gp/sbA+q16v2NZuudeGfXuxrNVhPvn1XDL838Vb1WXe6ux8X0O4g/bzRb/5zN/k449Vr1xkaz9Wd4n7HvNpqtr+AHu6vwSwC/usQupeXSz8OnGs3WP9Zr1T8/YmzPj2fb+vuU8TP1p+I73Vdnm00Ox4fwfivXNJqtN5DtusUvf6QM7NY9TvmWwgB3N5qtL+N3eb0c3/bfPLBh4Gb8QaDPA77daLb+E28h2IDfZHH5onc+AmxrNFufxR+meshSRb1Wva7RbH0Uvzx8T6PZ6i9P/SB+GfF36ss4nPcY+AP8Dry3NZqtS/EbF8bwSkUAvDHb6XdSqfuDSd+GH9S/3Wi2/hFvDXgu/py7G/BHAQ2yD6/wXYa39FyIH6TvB95zkkTtn5EHhyoqr8r+vVhR+Ti+PF8DXNTwh6iO4v3GIvzxLVMcH0eqU9fifXu3MHBUxEnievyB1HBoubyTRee/wbH1U8fRLy/VD/w+flNH//m9+Pb6XLyf2HLOtbwD+EjDn494H34MeQ6+fh5k4azXqkn2XX42C7pmGe8/iEazNXhAuATW4fu9Yfz3HdwR+9VMph9v+J+RvAe/keGSLO7rgJ9vNFuT9Vq1caJkXGnkFrgVRL1W/Xn82v8N+Jngm/CWhQB/qOv59YHT9bNnPsSBWXE9+/dOvKL31ichzkfwA+TF2XtPGvVa9ZfxB91O4P0hrsIvQ9TrteqfPIlXvw9vMXsRvvNcDi/GWzr7//04fob8h/jziu4+0sOZcn0l/hytp+H93Wr4geJF9Vp1cMA4HvmW4ofwx6i8HH88wK3AVYODROZP9BK838lm/HlqD+MH+KV2dV6NP/PuFRx88Otifga/rDOJtyz8aPbca+u16u8f4bljJrNMvABfbuP4sn0RmUXlGHf5PllZPo5XVL+Jb7Ovx7fT3wB+eAn/rccyWbvA/8B/gw/jz5Hbz8mhr4Tsqh/8aw83Zte9eGXyCTIL3Wvwv/1r8fX/UvzxN1cu7n+Okas5fJ1q4F0MDPC3TyKN5XADfod0f6NYn5uy9FOWOO7nWPqpY+yXD+kH6rXqX+AVlQfx9ewNeN+1vwBqy7Q8fTmTcw3eqrUO70P98iV2gsOBJcpWfflHGA0y2G/+QpaX2/B16CcHJ751f9TQD+Ctcxfi69x+/NLwm/BK9jM44O99omRcUQjnlnNcTE5OTk7OyaDhfzrq9vrATzLlHEy21LgL+Od6rfryo8XPOfE0/K9HfBH/U4d/drrlWYqVIOOJJLfA5eTk5OSc6bwZ7y6y1M+v5Zwafh7v23nNaZbjSKwEGU8YuQ9cTk5OTs4ZSaPZeg/e7+01wH9mR2fknEIyv7IS/qiPDzwJH8eTxkqQ8WSQK3A5OTk5OWcqF+J9v27G+1PmnHpegvcH/Fv8LuozkZUg4wkn94HLycnJycnJyVlh5D5wOTk5OTk5OTkrjFyBy8nJycnJyclZYeQKXE5OTk5OTk7OCiNX4HJycnJycnJyVhjfM7tQ/+SvrxPAWcDs0eLm5OTk5OTk5JwBDAO7fuVNP3jIjtPvGQUOr7wd7w+35+Tk5OTk5OScDrZw4Ddxn+B7SYGbBfjyF64hiZfzM3E5ZypCSjZtq/LoQy2cXeon+3LOFPJv9V+H/FuuTPLvtnIJwoiX/sjr4TArh99LChwAaZqQJvHpFiPnSSCkxBhDmsR5h3SGk3+r/zrk33Jlkn+3lYuQR96mkG9iyMnJycnJyclZYeQKXE5OTk5OTk7OCiNX4HJycnJycnJyVhi5ApeTk5OTk5OTs8LIFbicnJycnJycnBVGrsDl5OTk5OTk5KwwcgUuJycnJycnJ2eFccaeA9dotp4N/L96rXrWEeL8EPA+YCtwK/Bz9Vr1zlMjYU5OTk5OTk7O6eGMtMA1mq0twHuPEuc84PPAR4HnAt8CvtxotsonX8KcnJycnJycnNPHGafANZqta4CdwPcfJerPAc16rfq+zOr2TkABLzu5Eubk5OTk5OTknF7OOAUOuBp4FvC7R4n3QuC6/h/1WtUAXwdqJ02ynJycnJycnJwzgDPOB65eq+4AaDRbFx0l6nZgx6Kwx4BNR3roDeuaSNM+JFxgccDSOq1dFN7/PbnlxD0YhcUM3Fep4e657UvGferogxghlnyfxGIHwuWAVEdnsfxH+/sAAkeKZUd7PT2rEEIgsRRVQsHsZ03k0AoQYACBwCGysvXvFv427qD3+1j+/9bHkBJhHeA4pPzbN8CGpe4Nyu9RcFCZH5xm//8HP9tOQcoQgIKIQfRlPrg0GMhb4iRtE9Kz/rm5uSm2jYGSgoORmUyLsSh8CXmZDv0OvozcE+Eqq7d2UbxD6b+rn4vF33pxvrwEcuBvs2QbWLpUDgppXwcbDr2nsn8vLp1+bTYH5ckukdJSSA7UpaXzdXDcwbsOFpV8bH2cUB4o4UF5jZO+qmbPLq8NHmgBB0rADUi3+P6h6R745oN56ddkN/D/g+sOuKzd2SdSUgascXx3YohYhJxbmWeoFOMkWAnOCazI8t/x7U4s1SYPyt8BCfpSLI7hlvii7iB5Dy3NwXKwhzx9YujLuri8Rdab+bR9LJHl4YAcy6ulh6Pf5g7UfbtkO+nXVJn1mWJRmoeUzaI2eLSe4kA9dIfEX3z/YA7+0kcqjUPLbvDeUs8tDj24xbgn2k2fA/2A728H77uszfZ7lgPPqEWp9st+sEwPreGHSioWxbOH3D04pGtTbt0Dj4aXs3H2qzx7K2g9wgRvOkwqZ6ACdwxUgM6isPks/LBcdO4QgTuzsn0RUxw6jDlg7DRIszwuobdE6Mgpl+PUUDrO587c75eT06c/CPkZs8XXd1/nD1Wuc3JyTjhZI7z0fIC7gdUAJKLIDUd47MzSZI6NGQ4dWQvA1JEe+oiZ59V/GyCF17OtM3zmdTO84F7L2fcaHrwgIKye90R8c+e9nH13yn3P1Bhr2Ha/Y+/TA56+aYiHJzr8YjD8RNy/TOfZMB5y+2Md3kWXL4wMEyh49OvTyO2jdJ56FndO389jBcerPmz57gsTFrYUuG3I8qI9kgu/7Af8b/3wFF9ZbbhsSnHbiGVDT7L2ti7Pv2cDrRdPc9MGw6pUsHlHj6GhkBs2wDPmJBsfsqx6uMK1PzTP6/7DUJqDW7Vh+4sveELG4GstZoxhwzlDbFwVksSWmx+eYuNIiZFAM1JU3Ll/moqIKIWKcqCwztFODHOJ5aH/6LLxWQFFJBECJSQ9LG3pmFMW6QRgCK2hNwVOQVAAQYBEYLXB9Az7erC+FGKJ6aRAEXY9COdu8rMlJTXCpswbCFIolAM/E9KW0AJS0zMpxhgIFBqLcI4QUCoiEYJO3GPfg45VZwOlAkY7ekqgLYSpQ6YpkxOG0XUaJzWxdMRTPdaWikQSilpirKOXOnpJl3/6kuOql0BIgDYwP59QqAQo59BOkEpLUNJEUhIoSWItXWOZa8dMTzo2r48IA0GkFY8kC6TFAvMBzGsopI5yAmHX8eFPx/ze60r0EsNs2mNkLsAEjjiA//OFlJ95bcSolhSU4rYH5xnZGtENoKMEOjVsWJCMJ4JKKogltJVjQRu+fXvCMy4QREFEoAQSQQdL16Xsezhl1wycvQ0qoSBQit3TKWvGIAUsIdI5lLD0bWdCCEwS8/gOOHubIFUwMekojULvURhbB0ootBH0RMrUXli7LsSIGKtgMobOHBQdjK8GhMShsC5hugNGwdhQgEodKrEEiWD/vGF0VFAQAShBYhPSnsVZCIKAJEmYnAJdhDiGdRuFr5MigDRmLnbIHoyOaIwTJFJihMMQExpot2HHY7DtLAhLkkACzts3knnDjgkoVGCoDIUQXKTQPYOLQSqIAk1qDabtcA6iUCEUCAFSafZ3eoxEkBoQVmGEIW7D3hlYOwphCAUhoKwgNnSFozcFO/bD+g1QDEAVBRZNkDqEcSgnMCLFSLjlW7BlM5QKsH4IUgHagpEQz4JJYGQkwEqwWO55xLBxI8iyl9NJiUosLjXMzcCwAzEEgQMpAoxMSBQ8+Chs2RLh0piCkQRWICUob45EKU2XLgJ4fM4xPhrSm48pBIJQS277luGcp0FJgZYBcZygA2/r0WiQBqdShBWgNIlzGCGJBUhl0Imh24WRgkRKQWIdpuOIigHOWrAO4SCNwBnL9F6YmYcNGyEqS4zz9plunFIUkEaahYUUgFIIaI3A/z01D+NDBZyLsdaiuyBVgHUJXQP774XP3wNvqMN4KAiEv7cvdszvhrExcA6KFQitxhiDEKClxAUC4wxTseP+B2G1hs3nQloIMUrQ6fQoOZAChFRIY0gFBAswMhKxe6JHOApohTQS6xIWJmHVuED0IA3Bdh094+ucCcFo2D0B28vAEAgdIpRBx4bZeSgDYdG3e3qQJDDfhtENgJLsftwyPAxrQoESAbE0KGPp9RyyqJBtg3OwsAClYS+7QiDDgEQmxB3Y+x3H9mdH7Hq0x+p1oIQgsRInDFN7YM2agBu/nfD9FwuMgFCExCJGSdh5n2P7UyJMJ8Z0HTfdBRc8FYISRBqEDBAiwUqYm4NPfRne8nIQERAqSC3COFwb7r4H1lRgbCsoCQEh7W6MKANKIZzEuQQ3B2PlCENCO3bs7zi+8wA8cyOMbhAEgUJYRdKJcV3HzdfBqkuguqZ/aacAACAASURBVB1iYG4ayhJKZUGERFiJk85bchVMz8aUhxSRUwgEBofF0RbtI64pqquvvvpI+s5p454dExcBLzp/25oPHOb+64AHzt+25hsDYT8D7Dx/25pDlNav3fpAAfi12+c/RzTWYesdCtWz3PySBW4fNfzpX/Z4+XZBNGux561CCMeeu+5kW8vy2EbJvihm6wO+SU8UY9IYtq0tccG+GT6vNe+fn+PcdUXue3yBtxbLfMzCutGQO/a0Gd6tGdm5QGdLESbbfGvYUNwquPgfIx6rGkZjwb+PG0rreuw8v80Nqw3P3y8Je45zZgS3DluSNRq7vs0NGyyre4J13+gyPB7wpY1w7oJg5NYOz75lhM+/YoEwgWI3ZtMjINdq9JZxhHB07ryHs7+bMrU5pOcMj+yfoyC9MloSkk7P8Ohcj14vQfQSdjwUs69i2ZMapqc77N2VcK92JD2DLqZMRJK7JzuEJqGbpMzOGkpBSje2TLYds/scM8YxPhSC6dHtGeamDIWxiKggwPZozzg6xrHKwegwpLGj13VMTBsKIUzscTy2x7F6lSU2KW1gIQjYN9FlvmsJhMPFlp2POIpDjomOY5qUPfsSEudIcYTOEbiEtJeyyUW4OCXd06UrLIxFJNM93ExCsScoo7BdywMPdRE64b67Y9oqYfcex/OeDZM7HTPSoCqC2THJLDHaWQqRQErLjumYL16bcPY2uH+yCyVJ0k6RFUfaS5lOHZ2OQxnNzokOY6FkqOcoPNYlMCmjiUZekNANBcx3mbCOaL8hLih29GKuHHdMF1P29BLSx3rYTQFfvanHRas1X/pwh3XTBrVZMakcj5cs02kHozRz+7uU1zosijnpaD3UpVeIoZegupaCho0jkkhYRNfRusOwfo1jft4xMeOQo37QY8EQ9ByzEwnTu1J29xzrNzv2z/kOp9N1jAlHGjtmu45C5LDSklhHseQIpERrATGIxFIJHe22I04dWlpKRvPovpRk0rGlIjGdhDAxYARp6tidWIqJox1YYudI5lM6Pce8cXRTgx0KuOP6lLMuhK509CYcLrQkHUO7Y5mdcMiCI5kzdJWhS0oXS2Kg5yxSwsiYAmfYt8sSz1mGQ8XDDyeUpaO02tGbdpQLjvaCI2lb9u92zLQdMnEkoaGXOGzq2LXL4VZZHJbpWcv9+1OCyHHHXY4NI0DqmOhYpicc6zc4bMkx3XG07nYMjRpu+jfH6lWOKBSMjlhm9jlGyo59Dzui2DBrDVGgENrhpgz37nJsP9thAkdROLqhwySOVDrazi+9t50jMAYXamwgKA2lTM44VNuipaUYS2YWEgpzDl12zGsHiWP/444oNKQdx8ScYzUOs5ASaoeat+x6zFAsGuY6BkLLXBLj2o6773eMJY7HplIiHFI6tHOsWwcudsgI0m6K1I5219FbsEhp2LtgiBIHAXTmU6YWDEGaMrkjJRaW2Z5jbp8jwPLAgxYZWnqhoKMgdQnWCO67L2X/fkuv4CgNCZyxqIJj//2WjrSE0jI36yiHjvkZw5BwVEJ4/H5HITS05x3zk45y4lA2ga6lN+2Y7zmmE4MqOJRzIBzPfopjJHDYxJEY2PmAoVxwVCoOJxxaOmwKj04aouGAnkjZt2BBGuaNwyrH2k0hjKZM7nDseyjFpindacdd33GUKo7CgiXpOh6fc8iKY86lvswmHMZYehhM6hgpCnr7LffudBTLjoJylMMIREJoHarnUAuOqOC4806HFCkFbZmedSx0HUnq2L/gSIwD4yhqR0E4bBiwd3fClrLAppbbvu1Yu8ZirCOxjsd3O1TZMS8csXaIgmNyxhHHDiEcvV6KQxJoxch6hbWSqGwx0vHIQ5aCsMzNOIbGHTa2rN3omOw4FI75OKUXO+LEEY052mnKQsdhnWPLZodwjp07HY/e5diyLeBfv54wiqMw4rj06ZqFnuGu7zjWDIHuCUgkqTKMjPk2EgUO4yRWOKwyRGiEUMQuZs9ux8gQTM8mJNoy5RzGOp52tqNU8uWUzBra7RRhHPuNY3iTY/OoY9+kIywqhDHsmXNEkeS2e1PWjFo6qaHdTVnopYiuQyMxcUI2/6AXx7Stxm59DcB7L3v2uYcse61kBe484PvO37bm0wCNZisEPgh84Pxtax5YHL+vwG164O/5ysYeT3tE0h4zfP6SHi/cLXjhthQ7HrD1wZS96QzBxlWU7p6i0HbcudZw7kRAZday8ymWQrHApi8OMX9uj02jBZ61b4oLNg6xd7rHjY/O8z8CS3VDmQf3tjnrCxWiCU17fYx+fI7gOVtxMzO0hh3nf6vLxFjKnWcpnjGvuGmV4cGy44pJyf0VGPpml6evK7J6ynHXmOP2Ucf2juSs+7psXlfgS5thS0+w5Y4ul9+2lq9e1eH2DZatD2k+uHaMy1SPzQ8YHhN7uOHmvTx3GqbGJeu2ldjbazMUFdm2tshHbtjH3qTD5/f3ePAc2BlJVKJYLRWr9kGl7ZAFxbi0bFwVsjpS6I7BBJqCMkzvhUDBeFlAT+BiiOcgXA+jESQYkp6fiZRCUBi0s3QTKBRgOFC0OxbrvMVOFzWFskT0LMVxwfgaiY0dQkE7cQSkFEI/szMVAeUCSqYUDNgpePg7sHkTRMDaUcXUvGMyhYLQpHNdyiJgQabM7IGSSAkdiJEiX/pmD60Mq8cD1o4HlAuKQsEQasHwCCRtmHQQlKEUW0qJRs8aRBfoWmIj6EWOc7dCEBnUWECSJqxTASNBxO52ymc+Z7nkPEchThkLA4L9MSNzEkqSduStN9t6itJMjBKw20Fng6QwlTJW1syOWtbOaSaExY5AUg45a4tmttdl89kw/tSIOXqMdRTxbIyZhdmpFLFWsGMcbDlkbqHHWQLEPMQW9szD+IjCKMOjC9CVsPZsjdEWE8PmUkApgaCb4KQj0RYRQXEMxkZChNCEkSSSmsgZ9s3A6DiUKhojFT3lcFJjlKaLI00SiEJkYAilpFxwBMP+g0rnqBQlQcFb1aJQkyivYBULAiUcMTAuAwJgf2wZCiFIYGgowCYJwXpYVRCILhSHMt8lCUQh4bBBSJiXEGpwUqGkIO5YFqZgtCAIrWN6AsbWw2gJhFIMjzoSBbILVkERCB1o4cswGoFSCuVAEyLRgWJkVYDuGVQKaQojq7w1I+rB0GpInSAMHKmGXgKBhdUFzYbNAUIbzt4KRS2IE8d0CsUyCC0ZGVcUiwqbWBQWKRV7Opb1Y94KODwUEhpDO4HOPhgZEjgBvaKi6BxBD+YLBmEdIQJpHMOVCDdvUEWB7DkKQ6ARFISgFAiGhiRBJFHaL6sODwnCgre6zvdgbByEgVLFf5dISQSSVRVHeThkJLIEAqZnoBQIpJIs9BxBCh0BLoWiAhlAT0HJwoKFRx6ByMBwGboWZAFKJVDzEK3zSzBRBQpFQUlKyrEldJrUpJhhKAVQUBDhiDS4AIJx0KEfJB2QCCgOaZRyaKcIVgPWURQQhTBpINEwsQfKGwXDAYxpbxUCKA4JwoLDOhAKFmYsq9cCAlSkIdAEAgLpWDMUEDiJFYZCQeKcI5JQTiHsGVbbkEpFM7rOIEYERQ3nneXrWS+CuA3rVkmKxlFKJQvSIYs+H5EEF2mSSNMpGDasjwh6hm4CylqcdWBBaYjKXr6z1sDYEFR0iE4Nw0OKSkkQFR3DCkoFRSQcMlKkaUqhBPPaYRbg3M0BSddA7AiEpqgtUahR0hIuQNDz3ysqgYoCRDEAIRAWiC0Lsz1kANZZymsUiXYUyppuz1LQ3ttRRQ4VwEQMFQ1a+nqmHRQDSRJ6S6srwHAFKutAY9BjMFIGp2FIK4ZEwNrVYFOL0A6pgZ4jCEAWgR6okmPOWMwMzDiLNilJB4T09SyMYXYGRiIYKijaypEgSVLHbA9MCuWSN56PhyGhkETa0u5aisLXxa5zrK1AKkFGBQgMMpDM9xyRsgQqQlpwNibSEcNBmdnNr4L/Cgpco9k6954dE8n529bE9+yY2AX8yT07Jubu2TFhgT/Dl/OvnL9tzSG+hX0F7pLPfYp7z4VHthvuP8cQCfjh67rsOl/S2qBZ1ROseyRlIp1i2z0pO84P2HtWwIW3pzz0tICnrR/mwb3zPPaslB2TC2wbKbJldZlO1/CVO6Y5a12JC9eUmF9I+dqeOfZVHRPbUsJZyarphJgYieOOEUdpe8BmCUU07/lQhx+/MGD7guCmVY5LJwQbKin37om5avsoelePNU5S/qcul184wjXrU9YlgtJEl6c8Pk5XGf7+BT2e87BlRAteHSe8/pYer14lCbuKLas0q/dYdp5jKAchnSRhrBCxbzbhBy4aZdtIgYvLAZ1bOpwjLJt1QBRJ5JiiE0EyFbOrADIw7DeG0VCwphCRxglh6DsujF9cK0UFotBQERGuZ3DKNzBKGhsKXGIxoaYYaKzUYME5iyhK38kYS6Ckr/gWetYRRBAEBSpRQDEI0UagiwqtQxLlUKEkWbAMV2DDBr9MUFKCeeOoBDA3Bfv3WM45p0iXhEd3OpyE1SOCQEvmFhIue0qRDZUAIQTT7Q47ZlIqawpEzpF0Hb0yVCSs0zA5B2Z1gAkdthLQHdKIJEUHEBUVM9KxKhFENsC1E3rCUhqLuPyCgFgkuIJfalqzqkxXdllVKZPOdqmgsDohlopUOza6CFdxrI0K7A0N+ysRnYLlrHmBk4qJIYveGzOUQmE4wEqBSAzaSIacRhUMep1iVllWzcOGRCOVIi1rhDEsAOuLoIMIK2BmwbJmLMSiMAspvRIYaSFSmIJGaU2gAsJAIwJNovwyXTGFsvLO7kMFBVKRSoHDkAJCaQJrUKQINL04QTjtN0b0LMJJpBZIDYm1FK1CCeUdtFNJUnTs71h0CkULKjBIAsLEsGBhpAhCaEa1YkwZ0qhApB2BcKAVxjmkNJgoJLGGioRCGBBYSyQ0RFA0Dm0k2kmKoSAVjo4FayzCCCIdEIUhhaLAaYENgZJiuCjBOtozEJYtKZZQKCLnMKllvgSjEnQCo4FClr2rvisq0tQyrASVEAIk3RDcgl+m7MxAEoLSmqio0EFARUhSl9BRgmErCITCBZLhQFFSjtQ6ispbEtIeVCoglSJOHMM9QSj8AD+tDGtkgBaKSDsm4pTRSoiIU4JiSIxACtAECAPW+V1JRgCRZtb6ci9ZRSVwFIIQaR1KSoQUhCokNoYw0kgpkFohiyBDh9AaIzQIr0wHOkQlBleQhEahjEA7KBU0I+skQyMBJlTIsqJYCTEKiqGg3BN0Q4jCgIKFrjN0A0lqUgoiZFWgKYYWpcGFglAppHMEUoOTBBaiUBKpAKUkFomRCd0gIg2lH+idY7iiKUjN6nEFXYNWipFSSAGFcgJiiUgFInUkSqIKjm6mHJbwyr6Wio4yuIIiDRxOSLQQ6NB/1zkMvTbMG4MqCUI0hbZBy2xDhYYhBJUixFbQ7TiSUDGxx7JpTDOfWNSaIkHsKE3FFBKBsH5SHAaS2FnCgsSmDiU1UiiUFhgpkA5SY1FCE6cGaTUGSyhCjAAhJEIrwtC3+zBOGS4IFmKDCWHe+cmQKmisSlEdkJGgXNQMK4UWEqUsNpEIHEaniAikEsgUlBGormVIS1zqKBQVgQ4IAoXUGkLNSDEkCQVGSaJEo4TEKYMWmoLThNYhtSMaipgOUlaVIioywJqUota0AzBpCgbSYoAJNe2yIokNsgfJsER3HUWn6Uo/KSRSCOUoFqEbQzwKlKHbg9VFRVlFFAgYUpJCUVMOJKVA44Sgoy2RlgQFxXAxpBCFFCJJMQoIVUrJSURqvYsAgkD7CUUqHEiDKWjinqEbhMSbXw3/FRS4e3ZM7AfuPX/bmm+fv23Nvnt2THwH+A3g7cAE8GP1WnVyqff1FbjSQ59ndS/mpo0wGTheeq9FIplfqyhawVQv5qwpwdrHLRNrFB9+ruDZuy1JQfGsp4+yc3+Hz54ruWvU8cgaxfrdKRUhuXdfm6uetYqzx0Kw8G8TUzTPD3l41HHXWss3z3WMO8G273aJC97n5DvDjq3zjoX7egz/RMTanmA+9Nsdt9/RZTKAZ+5RTA8LLtxQoTBjufy5o9wxOUcSKs55uMvjZ49w/Xkdbr0g4axY8MaRCk8bL7JpNOQtF5S4z8VsvT9leMryyDkBF583xv52wpS07NrX5cJNQ9x09wTOSYyA4SFF0BWkQUy8AA+MSbpCMBT7pafxKMAtWBCCCRMjZ6BUDpDa4nreOtFOUkQIwhqEUpTRVBJN2DVEwlE2MJqGTCY9nLVYDWGkEEIT9CzKQpgIVBESv5WVbjkiEaC6KVECiZSQpui2pRw7yqmgECnQAak06CiiMGkwwxFGpAwPCYoCghDmZw3FcQgrsLsE+0pADGORRgfQXogpliXrKkVs0qUzZ0mLMG4DXAizPceqsZC1QlERilEjGe2BsdC2lnLPMRIGiNQgjSYsh3R1gumCjgS9kZB9kwnDkcNMwoZZzXQ7ISw7dnYNlQDOXTNERQVILZETCY8XLN1IMJRIrBbEacqwU5z9MIykMDXmMCogmuxRIcCNKGxBshCluC6UUgGElLuO0cRSmPFKkq5Y4kgzWxS0C4rhIUUkJMOmR0VFaCEIpaTTSQkNlJykCMjUIpOUYgrjRiGTmBlhcEoghMRIRdhJkAQEPQgXLAUhGI0iChICoShbiRAQSYVWArRApQpnIQk1CwWQSLRLESKgogRB5GhLb41ZsIa2gtVFjUnBjYdMKMeUFBQDyaRytKOAMIGyhZ4SFNuCgtB0y4oYibbeNw3rKChNmCl2OIs2kqLQqMTv9JsrS9oaugq0ENAxRKlfihSBZKSi6DpLaEAWBNORQGlHsQNzAYQS5kqOyEFZQJhoClYR4C0/SimcTXEakkhD11KJNKlLCdrWm+iEoCO8b85caCn2DDEWUoMNFAuhZSH07aA4pP0ARkhRSIZUwFCkqKQOlSicdrRTQxhDEDgSCQtRCMYiU0MiBQle2bBFzfyQxoQaqUA7h+g5r2CEmumCYbRSJJF+eUmkjhCFdpIgEQgHsRSkgQStWYgsthggnCSuKLoVTSIVcSAQ2i+duh5YI1BIXJwiRQASwp6jR4rQgjQIKKQO0zGUhKac+HJE+0mgkoI0DEFISloDkq7zvrCzFUUSKVJlcE4SCElXeV9Yh6UcS3ol/53TgsZ2YpIhQVloJmXCdCSZLzqSAqShIAkVBAoTSkpSUXGOBeHoRRpjYqRUpEpCz6ETSY+UVAc4AyNCM6I1Fa2xTtCzMaujImNRRKACVKDo6WwnpRGUI40IJWsKgok4ZaQMowsK7aBXliQlRawESgiEknSHFcoohNToJEFIS08pZCiIwwCnNUJCwQmSUFIwiii1hFoxrCRda1jA0dGSLinWSUTBIYMQHTqs0pAanJEERYk2ijnteKxgcUiMgV4oEDYlFto73xdDRCBxUmEFxMISCk0hlAjjJxBKWIKeQ8YGJwXtQNIpCNolQRxolBKEFjqhI7Qai2GIAIvBmJRISdLhCInESoFzgoIVWGuJLCjnaBchFJIgUERO0BuySCMoJpYSAQUD5VAxrDTDBGhpSTtAx7BgEzre5kBXWrpSkmrHsNYEUhFKhZASp0BIiRKSQPp2FAcCISVBLLAFRVKQtAuK+VLmh6ocaSIx2w6/hCqcOxkbsc88/uSvrxsBplfd8Bq23jPHzS+pYOZjrrgpZse5mlkRI4YEX9wa8FN3wpb7Uu5+uuZfz5G8rRHz4FMsF5+7mg/MTjBeKrDpzi7R5oh/OMtx1V7JC/5umBt/YC+VSKJSy3/qiO2bi/zgfsFfzvVYHzrWhIb1u2DjzpQHtlv+/pkRV+0WnOcUtxctt4xaYuF48V7FtlQS3rVAWtQ8tDflRT+0mrAg2b2/y//P3pv86rrl912f31rrad9293uf9va3qu6tW52r3JUdE2zFscAhnsAIEChCwBjECGZMQAKEGAASg6CgIEJQQYyT4LhLGadI9e3tm9Pts89u3/ZpVvNj8JwyEgIGyAOs8PwBR2e/z/uu9Vvf5rP+0Hm+tGhoX3wF/8PH7D7s+P5nM+6Io1KlX/fklcVax26Z8fTdDeNl4puXkb/4Gzt8uOmYFBXb9YbMGt68MybGno/PA3dmJUVlCKHlux81lM4hLvHxtmNc59gUKMTR9j2NwqwxWLFYm2hGDgmK8YkUAwnoC0vZ62CZWaXykWQdy9Bh5HkAOypGHMlBSopLihWhbSN2bBCT8GQ4NTgStRis/SlkQECHMDedQvTEpPQupx0JR5nlWesxeHyEzAmLjbJbOa5tIKtLigSFFxapJ9cIPbgeZvOa5arholD2PRTrYYPvJhbXdmxHOZ0IvQWfwbwRbBMo1RJTwvSeq8OMcQP5M8/mDnRYYh7Zl5JlSOjW8/J8zGnjeVor972h9YHzyuF02LDLtsePClZV5E034h3v+XjbcoxwcOEZ1SWjjTLuYJl3XM1ysuueSjN6p3QmMHE5WSk8aDs0z5n3SlPBrBXW2jNJORbBh4hVi7rEFo+zDnJoymwov6simqiioCHic2HjLJM2AELwygGG6IZTvFfFRqHPYdV66k7wuVJVGc4n8iD0qnQG+tzQukTdg8MiNmF9orOGaaM4EVrtWVuhKC2RhHghE8X7hK8clQyIFmsNmoTeRBKCVfA+kokhaUdnLYUMCor1CcFhNOKSICqsSYgNSO9ogcopfe+R3AyLv7UEa1EgjwkNSlMavPeIzbjqPYdlTh8UYxOmjyxGglg3DK2d0j+3zlwwZNuECESXECuoVbwRyCzJgoohaxPZNpFqGQAWMeDrgpZI7hONM2QhMAuW3ioxGwZjGyB1ysYErDcEPFJkzJMhmERhHcEmLvqOOuX4zCB2+Lw1QUpQpESWEr1AJ4MCSRQ2hXIUDWHZQ3KoQJREtIaUDzGGSTDYNrKqFWOEWhwpJdYomgkZYDoYqWEihuvY0gska8iKQaHw1gxsjRTRAGuBoJFxsjQok2DIrKBhsAhT4+mtoclh7KEMIH3AzwoQ6EMkZEptLS1g28jIOGJmaJKnRchFCDFAZrisHSfrQDAQFeaZo97AVQps7YAKKgpDaQySIHQeekMvHmssqs9hH16JMZDyDGTAkDgRrFWsGIIRmhAwmWHUC6aLdLkjFsNat/EdpVh6iUSXY7oO58BpRigspR+WxAZoTCSVlrNKKRaRlzpLmRJiBh08S4FOoC0MmRpUAhO15MmiJPqkrBWC8SSxqEISHQoY1gzrtVemq8imtpg0qMxtNkBQxkVOkUEXoPWRqhuclpCDU+FuY7k2sMgGlXJDjzcGq5aph84onYOQCfObQDKOYJUgEZ8JpbUYM6iI4iMalNZEplnBom+wZUHdQNsmQi4kO3xvjY/YHpwEjECfWbQd3jNqCATG1mH6RLNXECNkSelihxmOpM9l0eE33DvFW4uLEZoeJYPKkNeWOgh5GCzfaEF9wHegouQqiBNchEYT0QhFTJR2KMb1xrDBcfPz/y3A/N/+a39p8X+ea/4/q8D9WT8/VeA+Wf13vPleh5ladhrL3uOeP3xLuG9zPppnqBViZfhr/6Pn+J/JOGlh4uHN13c5W3Q8HBvufr/lziPLP/gZy/1W+Pz7nre/GPn7Lxtu+4x/v95lfFDzW7Xl8bdX/Ee3RvwrLufLk4Lf2w388Yue1y8y3MhyIx1HHSwfdpyeOHai4SsftxgbSSvDnS9O8SNlGxPzKuPbZzf8xuGcH1637H13wa2PA+d3HXenhubuXV77wFB/2KD3S14+rvl3V5H/dAZ//Ws9//G/fkDjI2cqFNMJpmu5Vef84PE158uE94nzqw2PN573Nj1PqsCHu45rKxz0lsb26LRErZAZx0QHdS6Vnm1lyJ1DnEWtYLtIkpxYWuLIMDaGzkW8CCl6nMmwucU7A32iHzk6awiZocsMrRNKK8SYKHEEDAlFYiK2Ad+DD4JvE7pOxKanLw3nFbTWkBeGagXtdYeMhM5ZMp+YTkeUyXAjHleXmL5lvzeMjWPfZEPOzhgu93KkabmcKLdaIUTHeGyRcYaPAc1zbJYQB4UTKlGsUayx+JTwKHKnxK0S89ZQjBzbNg5t0phznStJApkt+MYskiXleAsb6XlUCk8mwnGyNBYEx8gKuVquQ+QkGn62KNmfFpw3Pa33nB5mnM6E/bIk18Q2Rapxwan0rPcrrkLHMzHse8vt3pLmjizAqjJsC+EouiEwXgx8olEypNyyHRvyJETzPBOlMgxkaciimDS0WbM2kXdKhaU1glOlK4QrK8OCX1iWY8OyFqwTTA9dUDaZEElUubAThVEQukJoJBASdCg3FRTJ4NrEpnZMOgiqhC5SAt4bmOQ4I7hVohfhWQ62U8brxCoTtipIbrBJCP2gYI2iIReLyS0iOlj9aobKaCmocRiTcGOIIoTc0RlLn1sWheGmGOh4kmfYzCGimC7iRdnLhF4NpRHwkXZiKVth7oWZCFSOibPYkMArWhrEDky5JIMCJ3HICxljyOLzgSJP9EaITjDOYRK0vqP2lp0oWOdIAlmylD0UrbDRjmiFnd4yTsI0GWJl6LcdpWR0KSA9FC5DCjOoIwkaHVrKYoRahLG1lGooPUQiYgwHy0jolazOGInBZQbrzGAtAqGwtCXEyuEdFGtBVx7toWYY3va7QaFpcuWihLZLTEJCRKi9wUah8LCJsMxhmxQjUHrQQih7oU6CpkhKkTzA0irbsWUkDPa/QJdZepuQoHTl8B7FJ7wKwSobgRWBoEKTQeHT4CBExSDMgtIoHK2EshOCE7yVQXVODI1ur2xjoDQWVwwt/lFuMcYiueKqnKzO0CwhyZA3SimG0jrKLKN0htwJyQ3D5zoXymAYRagjmGTw4lmXOT4GxgkES3SWw0tl2illEsZGmPVCj3IUhSy3tDmsrMHdBKRNtIVl7YaGqvrEIhM8veFAqQAAIABJREFUkEdhIUqHMhIonaMyBuMMY4YhtRdDmxJrIgfWkRTqNBysAabO4oGqNyRjuLFKyA0bqxi1jHrYbhUfIyi0KFkyJFUyo7TToWWedRGzTjTFUCCMIgOpLQkEJfNgYyJ3z4e7zLCwMMNhNso2A5OU3BmcHchz1hqSU4x1ZAh5jOAs1jnq3kBlyHrIa4fpoUxC4WU4iKThIFGEIW5h45AjHW8Ha30vL5gYQ9FDaBI2KOKVVpVqHVkZOK8Ni1IgwHyRcBtYl0Kmw8HuxgyxIYnKSEoW9/7vM3B/njEi/6+eNHJc7hvsM49TuNyzUGY8edIgZcU9hY9Hyn/xF+FvFolPX8Fy6slLw8dP1ux9rPzCtw752r+0ojOJz7/bcZ1l/N7dxBeXhr+3FWZz+KtHFvn9Baejkn8nwKf2LP9ZXPDrZ8J/+VLOFY6TZeR3ToRf6jJ++bUR5dkWp8LxrTlnXc9yL+Af9bz12oz3nlzytT/Z8Js/t8+ji5Y3vgfrifLJl3LeuDvmdzaXfG4JJ2+v+A9/Xvh5TdwsPP9GAd+IY/7qv5YzmGhQmJqUWU6zDjbKV17Z5396uODL3/I8OE5YVXa3wtECrk8CWRP5+gvKF2OFX0aSwrVV2pFBjecowaSxtESiGRQRV2U0bnB9yjSAJj8uBc2EvVBRB6VPkXmTSNOS9Ujok6foYRqGfIpXQ2nAiOEASzW2uOfoytwY+jzxvkTW254DKi4q8JsIBtqxHRqQtmC+TDhJtBVkbeLadLhxSbbuuLWyUFveGSfsJvKSc+z3yv0FPB7lvLyKPEOZl5ZlCKy90hUGKii2QlnCvLWkPvKsVvJS2S9yKis8aDz720S354gou4uMZxbqpkfKAjE5MXbcagpOlh3buWGlGVlmuHfRkmclvzSrcKXw6KbjugkkhUVU+h4yHzm8nbPY9mzanr3G8v5sCPqqLTg3kcUM7p31MCp4+f0ee1jxbF9oW8/oMlIdCKbI+e2jnj0/ZITGE0ulwiQp0w42mZA1kUoVzcwwdDkhiVC2ick6gShXE0cRlapROgs2wX0stROeJeXIC1VyWAuPJp46GHCWPAqdDgNipYZIIguO8zGMOuVWJ0wqi6khtJ7LwrDbRHLjuFYh2zV0XWRdCwcjw9rBzkViMVHWM+EyV6YY2pjY3yqjyhJUSUZAFKuQ3KCcR6MYFWLrWVaOYpKhSckQap+wYQi9B4a/3zjDIqZhU8szigRjr2xixMREb4asW9nC3FmMWFY2oduI7ZQiGigMyUKwinZQ1A7jISuHrFm+GRStmBSLIY+KSeDziBjhkJJgEq0bGp4pEzbZYDOHmCiiY9ZD03XcHBaMNkIpET8qMBcBUxlGGLpMaLdQJSXTIc+axNAXsNTE2g7/trEC0aIerkeOIMqOh1WmmHWi6BVXGKo+0Sc4zRLLiTJbJUaVpZkPQe2qTdBBW0DWD+WOfJPoasuNNYy2ylYStXVct4E+A5uETIf86CgKlzGROcO1g+lCqVV4NBVcYbi3hnINN3ViOQLBMI9DcUQZSgd1GHAvIoYrVWbJEHLBokRRzLZnVeZUXliExMFSkJ2MOIaNV/IGtFNCJoyDwRnIjBvAuj4gaolRcRkQhW3TEyzklcFmBgpYWiBTapNQK7QbxRnDwUIx1tDmSiuCTg1mlcglY69RSpOz9R3tPGN3qSy7OFjlfcK3kGphPxi6qHTlUAbJk9BOh9zxUiOZWm7XFpcLfQc+Jra5UqhgM4vrE4+yxEEnZEkYGZ4HnhPRWHwKXFhIPlEniKXFtomYOUaLgB8JTZM4VqEww0F4GyPbsWE0HjLPWwN9BtNFpJAhplAuA5qgdYLWcOPM8L0DxpHBjQlgveKC8H4eOVTDvhc2Qcly4bJK1H0a7Ek1qE8QdLBEZVBK28LS5Ya8V4iBlNlhXcoSMRkmafgdqVFWtcWiVB1kTaAAlplh6xIxCeOlEl2E0mBGDskSVyh9Jtyel/SqVBc9r1wmsgi9T8TS0e0I5SogDj6ZKnfbwSpvrHKV/T+jwf+JG+B2W7jZM9x6EBGFxy9Ydjv4D+4c8jNdw2/4nj+ZK4/eLMmTMnnY8bOfP+DZVccfJOUL+2P+6J9f8q1p4jdO4WCV8Td/3nLUQ33Z8pPZIf/qSYa/CVRvN8iXJvylA8fvrVrUQX8Jb544vvOpxFf/oMPcKTjvIyKeX9mbYJ3wztMNH9xsqacFr/4PwsOdhldOdpnXParAt1Y8vZfxYJ74yy9M+PCsQWdHvPKPLnlyWPC9o46f+SBhXoAXypxfPu/4C86wXAV8hHt/9IyzF3NePRhRlvD2ow2/Mrf8rV+Gf+obgRc/iXzjS5Zvv17x3UlkL1h++Uywm46bqSWq4VmuvH4OE3Ie18o2RTaTgdW27w0joBZQEWJKnFfwWjDU3rACNA2E90c7GXdWyv7NEGSP4gkmw7vEOosc9nb43PrEcpVo0jAclL0yE+EWhjzLcaXBNgEjFl8LeackhNYPKIStTUwpON0R6q4kv+hxWcaNHXJrh8shKPz2SLEu4brI/qnwZDw0A5sEzRbmLxXc/Thw/TQQrVBtPasXLZuTjIOYcGuIG8+qDZwcVKSTDNYBJ8L5vYz9R4Gr/YJ1p9QY3tyfs1cE3nE5F13Akti57DiMObqNnL2/QIywnFtuZobzOmKcxYmQqeXVx4F6r8A+bnj0UsbKKTtbYW+TON7AsnQc2YzxleJ2cx4fyNA+XIMrLT5GyjbxK31OVwj7QaiAaITT1tMVgusSqKHP7XNbTLBp2Pg2IjydQV04im2iboXqQcTtWK4OoQmBvjPkAm1tOa1hTUS8oVRhHg1dr0hSWiv4lHBB2SksYydIBsRhgPDALBjWE+Gj0cC1OsgtpknczXOMGH6wG4jrwGTmaEygnRteuTS0QUkWWqtUV4EqE1a1YZNB9xyVMUqGs4nSpMQBGcRI5gdFYmWUrA9IaYnWoAZgUDhqhCWRsgXNHIpn7C2bEWAE2yRKhsEyOaBV8LDJLcEm6gBZp2CULDdcd5HVPGO+DOyoYVM5Frmiz/mFmbPIQK/AIrQWTDDUMiiWu0vByzCUamFoikAUQzHLedEYLqaBtjOcNGD3KyxKMMIFPdXzvNLWDm1DG2GkiistE6MQDOU6EUeW8zG8fJa4cPBoHIiZ5XaTCFOHNRAzgwnKa2Skq4Ex1/gEXSSLw2cxrR2PQqAygIWpKrGHsTM8ncFsFWiDQiH4XLBRmXWDtVbkjlEcVHpbCOc7QxGhLITjS6WYZIRKmShMfWJt4FmWUD+od0WvPMiFk61wPhEO/WD1d4UgAcrOw6gguw7kNz1hPyccG3pVxs8SZMr1jqV2QwYThRCUZReoGbJWP71uZdsmJMFRsvQKF8/tviwHckN1ETEzYWXhzlI4LxKX86Gc5YxFonIjSjU2nBeG7FHHnWVi8UrJfB3YIly/mOEzYYPSqfLWM1gROUiOvR7WVrm2SmMHK3TXG26c8j0J1N6wH+EgGCZB6JrIxSGYwnK7NQSURQwsOvBFQgqDsbCfSkxI2N6wKA2dhX2XkbcJM7Vo6fDrjpvKsioFkxJHSxkGM5+Yr8E1iY0qux4ujiwn3tDkisZEYQxnTqn3syFm0SfwQoGQEmxSoo/KrVVikytv28TcGhY2cWejWGsxOjgGJgmuVyQlliPL5ViYNsq0gW2lmM4wdY6F76nyjMZHNLfYHGwrjK7SwEQ1yqYCmyVsC1krVBjcVOisoXVKJ4mdDby5NWirtH7LVpRgh9szMi+QGVod3ISRtSwkcqd1PJgLeRwGzf+DRvh//fwTZ6GWj/57fjRt+MK7Q4X9735OudU5/iAreOIyvvbHSz7/muNBCS+1wnETKF3GP/z2gtfHNe/ci3xznvjS0vCrv+t591XHu3vwm2vL7HPH/NN7dghb/8maZOALnx3xw6eer+23/IX3Eu9Zw5f3cn535PnZ72bcvDSA/A4iHMwKNEHfNKyMI+WJv/5ryo9ky1dCye4858NnDVcj4d88qfm3RgUo/Fc7C37mYsKrH7R8vTR88FKgbRJvlTk3a88XCsud2tF2gVUfmX3QE1XRg5Iz7bl0gf6TjhOr/M+fcXw0hpc+Crx6M+TzvnjpCa3Qzg0nDyO714E5OSMR3t5Tji+UunT4bDi51SIUYqjDYEU0qhz3w8bwMFNUwLYJk5RpL5zOLYtC0MKyqhxdDoUVpo3QZ8KyS1zN3FAd72G8VkaFo9lzNFPLe2VkuQrsL2DWCTud0PrEZW24HgmTbWLaGJ72PVMv1IvAZjdndpV4cmAoXqzYLR15r/SbwCR3zEc5j6ZwnAtLDzSJl+7UFIvEahdO9yybWrnZd6RNYucyUTWJbYTeDRv5WecpV4lv3FY2lXD4wBNuFeS9YdYqZQbv9IFvG8W3EZMStk3MVLhVV4StMnqaqFYJ5wzzNJw6D5ewt1bKm4SfW+I6Uh2UzN/1fOU9z6h25FOH7GXMIiwz5eLI8vTIsd8LFxrJt4l+bKmXSjN6PpCochEDK6DzaQDGeiUGZd8bXAQJAxg1GhAnTEQ48EKDsr81NKXhzp2Kp/dz1quIVgbNHSNn4HkeK2uVbKWE60B74+lSYlw6bjuLLYRFNwBs111k2yZcD/NgsAidVaRNnFQ5VW0plpG5NXR9IK4TBx7G45z3D4Xb0VEsEpc7gs4ztgjzrVKXlpvZ0EzNg1I3iXkQbGGQwlA44XgtuCSM1SAijJ1lW1gWU0P/3DIr06AQtlbYCBxEYa0Bmww+Bea9xfSDWuQywyYOtuOmEFI1XOST+UQRBxCtTcp2ZDhSBySmGK7zyMFWOOmF3SBUAYwH44cmq7Hyp9fZZcmSImxQXCaUxgzDizpcgKxXzp0yv1EOktCVhtWqpwuJtUnsFY6ZsxSZxWcDksNZMIVhE+CBHb4L6wzGHUzWyqkL9JXh+Ey5faEU/RBBcc8RK3USrkNiUQ74kVtVTjV1jKcZovBekdhvIUcIDq7cYJcmlONoeDq3XFTC3FgOOyVuI6OJw1mLPch5oci57jzFRilkyMGNF4naGZ7FwJWDXpTtxLKcCuU6sdcJjw8MT6fCGx8mmpEwTkI5y1jnwlUTaLaJ0lmyZHBGcYcFCcVslcYK4VaOLwyXTrnKYJRZysKyN8+5NytxEzfw81yidXBXLU2vPCthlQvFdWIPy2IM0ie6qbAE/CLS7DmkEnaioe7Bp+FdjxnywgtJHOeO6+MM6TyjDjZTwy9qiSa4faG8Fi0Pd4TCKx/sw3ZjeGojqymMKsskDbDx3WCY98KkUyo1OAFbWNq5YbSFi8uOt7NEs0zstYZ9GQ6PncKNBRdhjEFKQ9FE5p0hywy2dFwrtCGyYyznU0N71nHuEuPccW8JmQ5507zOmExzHk6V6llgOxFuG0eywrNqIAp8SKSLkEWodVADUxyuycp1aNIWxrLbKU9q4d5GKCRhGji5NWInG/KFbSFIaQhTy8qCWwRibRm3EAqDLw3eCVaFVFvi83d+pQkbB2RJlqC2FmcMswAgdBZuVGlipO0TsUusVHlilcsaljPDam5Z7Bqu9iw3+watDEHhqk/UItQbZTEWJslQIiRjSC4nHv8W/Hlrof5ZPz8d4G69/zf4g9vCZ0+Vphb+lzczfuG05bdHIwD+xc9EjjrDwzLxhWvD62XFb39zyT/73iHvf7nlOzPlSzfCG+92jLbCf/4Lyq+eOz7z+x3d3gzNSy7Xwht/fAn3c7S0PHwSePc48HM/Snzp0yNuNcL3s8j2EHZ08NNfy0uCT6ybSBLLxXnD/0bky+Tsaka/iJg+YUzDi4dT/opPHO4VfP98TTWf8Rv/oOXJ3pjv5C35HXi2CHxKLc4JB9Oc3AnOwfl5B2tlulSWn57w8XTLF2zNB5Wy/1A4etrT3y54esfxbCxMLxOdsSwOHKPzwHpq2Iwck4tIkQvTJejY0ofInTNh50IptkqvyjJXWh+eDw2J5ISdXphFYZwNWSNtI3vtkFdJRpn3ws51xDtl0ghPLYxKh4qSzBBo7WphXQmsAykqIxUmheHtHfhBHTm1yie7htdOEy99FLg8ccQ+kO0U/MB61vs5984CXS68OC6YvN8Rz3tsUGqBtSg3fSIrDIs+UfvEfKegjYm/vR+Yb2AVI3XumKwT1yeOH7qfZmeUF9aWsQe1wo/uWF47HTaj85lBl4ndKNxMDPvqWLjEm51jbZRyo3giT24VfCP3vNlaTr44oXyl4koTP7xr+UxTsjjOeNcGvnQjrAnsquPjomf/9oiffCajqw2BIbSvzlJZyyTB2AtnLjG9jKSR5TpPZNYiKrh8sBXqzGGc0OcCvZK6SJUMD3aErRWsBZMJ2EFdXTu4msGtJWRTx2UX+c6B0Ly/5RcWjp15xenxjCepYbnx1OvEtBk2zLww9FNDJZYoypVRlqocWMuTkZBdRZqoPN01lFGol4mruWWs0LcR2UZsLvQMp+CRtWyjMr5OlFtldhO5fZaIp4Hm0jO7DMzDsNiXUZhYyyg3VBNLUxjCdshzyTZR2IHrpFYIacgJffpUeXo3o3OQdyCdkicGNVKERzW8ujX0mRAUiEoSqErLJiV2zHCrxH43KAGZMQQRjpPBzByTzMFaaZ1wvfTUW6VWw+rQsgZWTof/pxv4VuIGO7Mwho1JqA4W5Pt7lqeibH2i1MGqW9nhztNXvLA2gq8N/nHL6lbO5URoN5HpZeK6hKYfDldJDCkqnTHUUTlaPEc+JCVYaDKh6qHyQjFzrPcz+pmBXrGLRMgsy5mhsWD7YUD4ySzxcQx8TKDsYN7Bt/eUq7HhGMtkpaxGgwLsfWC/tbzoDTeNJ2aG2bhAnXDcGj687jltPCezgiYqWTsw5HaWysVIyJxwXQtJQNpEcROHocEKO2eJew8jfiKkkVAHYbUK7GwHxfDNccHZseGsCew0g1tgFS5mhidTYRuUK5RRafjiA8WvI+s+cpoiD4Nn2QRQZSaWPAkXOYSZYXynYjMy2Eywexn0YFXojVCgpIlj1im2Fy5M4H1RnkqiKYeBa7ZKzHphm5Rrpxyu4GZseLGx/LhImJvAvB0y9pUHmTpSm3h5VHOQhp5XaQ2HF0oelS4kLnYsspfR+YRjiBZct5Gtgf3ecmtpuR8MIxU6o5SdcP9ceePB0Cx/liUmSWCW4cSQ54anXU+ucOIti0w4uooclTmvbAyVh20T+WRieFrCI4182HtePEvEuxlXm0ixhaZLnGlEp45f+Vh461R55VI4uVLGNwnTD0PtnliMhRSU0sBBtLiYaBPsHpV8lCdCgkWIfOISC1VMGPaayTQjbiOpFIpgsE1EMRQRFpIIY8PBGkyEsz3LMhNmxZBrdFawleWpiax3hsOx9rAKkSc5XGZKPyyj+DQ0Va1CGZXSGbKxZT7OOdgp+C49OxGqi8hmx9AliG2i8xa59+cQI/Jn/fx0gDu4+Duc5j1jERZzw2ps+Ewq+ZrLAPjF1HPUKJ+M4K3Tlncmlvtlxnd+oecP9xNfvbbc3RpuP1SeHRjSTsYrrRA3ierxmvjSHvnTlv0Plhz87JQfv618+5XAC6vEYZ9x916Bf9BxOTV8ZxZ541q5LAKHnWXT96hNrH3iqcDDFx2Hi8AfHwqffd9y8ndrrnJPXws7teNq2fOfjHt+qat55aPA1anh659ueaky/GSdGKN87rDmO5cddVAmVUb6wwU3tzNml5H2szsc30TUwyMXyXccB48HNUlKiFPLgz1hPRbqVWAeHEdlTigtC5Ow3WBlLmYGVfCZECpDVw2nlEkQsmBYJMVkwvF2gCouJobrHYsGKCNok5heRKplwsWhmbfZJNYTS14K9WZoqe32wq1ouR8tIzvAb+eYgeiehNwJdVDGDdxaDldTZZ0SK4NJBtNG9icFd68ieaO0hxn2MjLqDE93Dcs9y9lEOOiE0iruMlA5i6sN36wjjwrhq5/AzchwrAbfKEfOMm3gRev4eM8wfux5/0T4gz1lFge1bzESoof7RQZBOd0xpIcNN2PDy6ewVzj8pef9eeKoG4bmN1aG9+fKt65b3m469nrh5R90/DD3tDc999bw7m0hf97WOzyHdyc9b60tt8RxrIbbWcY4s4gVvBgao3RRkVXAZMIsc6gfQLOr2nCeD+yqMsC4VTZNT5Y5ZGr54gdwuIFJGE7OTgfA7dFWKFuoe/hgIny+ddx/LLy5W/EnrxvePd2iH3bMlz27VogTy7KErRFCSJSbwdJVL/iQKHJDVwlvS+BuVmCd4X0T8UeWHRX8heewzLgcyKhMxSHLxNt14uOJ4dZlxO3nVEGJI0t7mDHey9jfybC7jqfHlo9PDA9n8LiCNQltYLJRymS43cCeFx5aZW4Ml0bpC8PIKzdT4fBbLTtnkdIKRWVQGcLXtlM8ymJscR3MsmHjLkrLNiTyzFJgqI3hYsdwmidYJ/Y8vFNHwnXkVBMzhcclVJWlm1guNVFfDLe1mEZJvZLMwFszRlBnECsUncJGmR0U3D9LHAdhlFuejJQHZaITmDjhYmwoDOQ/bljdLxg/DpRb5cA6rvcscZ3YWyV2rGNkhtB6vUlEMVy44fc5TUIQSM/VkGbHsvaKVcM5icbBx/uwMYnRWpmIoSotuvTsdMLBGk624FX5ZKZ82WekqBgrbAthaixlo4TSsk6JtSpmbBlhyJPykVEuKzjywijAwifSGJwX6qvE8lConGPlwPaDOvxT+9pXFumVJoO2GK4sa7aJ06lhYZSbUvjeKPAT4zk6SxxvB7zNIhNaVS77xCcTKCaWr5wCm8iihvsPYbSIXMfEKhe6pGxC5ILEOkZKD1UrVJeR3fPAyWq4nm0xM8xLS8kwWJcBrirlemzIiozPXsNrC6HslaxRKA3OCGMVRklYZXBXLBc1/HiqXJVwMxJyFUbbRKdwXGQ82ocjDKNFpFBhPwnvVHB3VmDaxAMfeBQjfmOIS8MPYuKPZoHrPUt+L+fZLcujY2FRwrqEqx3Ds33LM6sciOMmRmaNcFhY3l+1jNXARnm8a7nz0LM9cCRVUjYE+I+wnGmiMMLd0vH6uMDfzfnouuNVcXx4YmmnwiuNZf8scV4qy7FhPRa2E0NfGa4rWM8tE4Trchgwl9FjmwHXMxrl4IRnKbFzo9x/phxewd1e2B/l3BxbLrvISAxlN6jZeWkIzjByhuOFMlpAzIVcYdwIL24Fs5Px/WP4iEg2tty/gmsSXRrKChqE6Vo4WgoHG+XuUnl5KUye2+yNEVZmOChd3wQun3i+anK+N4lMkuFqG3CdMvPCWAq2L/w5BPn+WT9/aqE++VtsTeDdPeHRXDjqhL0m8WmjnEZ4KQW+vtfx6x8HnhyWvDdW/vFB4lkBv3Zm2J9OOSjmHHz3mq+/ZflqssT3Er/7Jnz5x5He9PCkQcbwwGXs/Qj+zhdafusfBcp7FUfTnOuPGw5eG/PN2HH/Yc9yllOv4XP3pkyrnD+5WrCdOGJu+K2/sUPzkud3X47sl8ofva58fRKoP1R+/1lg71bJL34khFQSHyV++8stv9g53rtw/NcnLf+yrThdbSEOdyyunvY8qTKsJmxhmW4C70ngZFbwPTyvHtWkq8g0WNKNp5zmaFBeuBHqsaXr4ZmPjIPwbD6gPI5uEuva8GRXaAvo7bCpu0Xi0ilZYdiLAqVl9wbsY0/+1HPrLHJ14CgQSIpR6HJDzIRqN6NAWFjYVM9bPVG5joknMZIahw2R1iiz0nGnyCgqS9xGZmIoc0uWhkAuHta7hum1p0mRejtkyg6S4JaB5cRyeFBwbwN3esezucF7sCOHusQPS+XLXcb2OmB3HOMeyrUiy8B6ZNm/Skx2cvZuEstDR7tJ/OL3Pef7BlsY3mrdwFBqE9ODnL3HkdcnNZ1GfjKPPOgi57PEvSuDnzo+uO34ozLxa+8qswj7NwMY9Gos5CZnry4pasdxb7myEdsERrkjv4LfuSN833lWKA5hHAWscDESlhVMn3i6iWU3DciGSztkqSYXkYMFSJdYkegrQ4VlZw2bZaR/o6IYOQoV8EoTB3bfdBk5kwHC/OEm8nemkW/O4e/FllffSfxSVXEynRGqwFUpFLWjxBALWB04To8Mbme49aLKzICnaJXX1oZv3Rfi2PCrZwZ7EcjXicwKV0l58xLu4zhbeT7ch1+6cnz6SSR/oeZBroy3Q1avUiFnuMtzaP7rcFOCh/w6kl8mdq8TMnYsC+XGwnkFx2JYJ8gyw8QZYm6QJtHuOja7QyvwqgB8QjOhspZ8nfDZgEWRNGAj+gShhLKBNBpO8K1R4ipxJIZPJrCzUk68MO/hdG4JMXJQZkObtB9uNbjOIdQGOxp4UeKVebLMlonJZaIsLRiluxh4fdYrth+szr1WuPU4cvIoUa6gfK/l+tWC8qznSZH41Lnh4sWCp+XQJjal4VkBqUksSVyVUJaWO+Io6wypoc0N1gldDsux4bNnwmoT2ZchG+UQdtVQZgaDEGohTR2LElZd5DJXtlPDz3U5lyFRrxLLsfDKM+XmaLjntfeRiXMUuaXqlcclxMpwpzdUm0Gp1Eyo+oRNwrJWwsQycZZtn/j+jnJoLDnCPLcUucUuIhdTIfVDHOO9iXIQLZsciq2y4yyUhvFVwk0sN7uGnZ2cMLbs7OS8qJY3FsL0ZkC3zD+IrHNhPR3a2KEU6pFjIoaJcwNuxFmaXDjPlQd5ZGOFvDZscoiXnsMlbA4deRIqEYoG7CrhVonGK+uQCLnhwDmMH9hynxSJC0nczR1rJ6ybxNlp4CvvC199ZBhnlvd3E/Merkj0XeImBJzCIhdiPbD5cmOoriIvrw2vzwoe37N8byfx2kHOv9AXvHANHwTPoo9se2WTGa5qx7PS8bS0xC6RrT3VzHLTJd73gcNgmCSDvlBStEp+u4B3W0ajjPkicboNnB07vvzY8NZTw71Hys4HgeQs2czweCSiMBHgAAAgAElEQVSMnnh0HbncdeQnBfdtzu1kmarQOdhmQheUm5B4NBKWzzo+5S39NEdKocodNz7hDawedfxoppy+4MjvFZiTgQLgriK3umFd9ars9ELIhP0tdKvIJ6PEw11DUiEmIQ/K3TLj6cww/9jz6kLoBHZ7SFH58tKxMy7hpMDfzxnvZrwYHaUXvjlKnLWKXsPkGdx6oLx0qnwqWl45KPjhXPn0yvLeJPG5lOFGjouZ8LTMyI///xbqnz4PfcdOA98dD1msN27g2arln7s75VeWnn9vZYku43gr/Go14b3zjo/8mryBt74tnN9aoVyxmBr2jGEiGfvfLZi+uubBC3D7hyt2A7RfHDH/X5VvfyVyuxNmC3C3M+KTQOMju7nl4MqSTXN6E/nxoeFnukTvE5t5wcgLu73ycBbI/rHw6i8L/83nOz57ZfjNf1jw4jsFf/svL/kro5zbH7WcBcfVKNEWyuRcibkjMGaxCtwvCpwV1m2kLw3vTnNmBGafrFndznm6Z/h0skys4bezjl//dEXRw52FsHi3w04NxTSjUjg7bbjnMu6+VPFw3/D9T1aMk+GeF6bPEhsjEJWrUgi14WijgKEvh9PnAyOcHQzNwM8FR/3A051kHCbosgELkCnstoamS0RNUBhGYpjklpFYXGX57lHFd56e89Za2Ob/O3vv+WzpedbpXs/z5pXX2jnv3nt3Vgd1t1IryxaWhY0DNgIbD5gxDAXDUAWcOXMOxRQ15wBnCJNgYMpkfMbgnC3JkiUrh+6W1Emdu3fOe6+98pue5zkflotvc/4B+L5S1fqwfuu+7991aZbrMe66YVBblI3kokxYLksyrk15TZFrQiNnM9202JEazxVUG5pM3mG6P+AHYYdSIPAcibOtGe13eSkO6Xcd7q3ClYzhqHJY2U5wMxa1VDMzlmG+FrPZI/EutZksOGSzNjcDw4UTgt2xoFKVbKcKkRU4iUavJ+g9Ht+yFbeEYFl0qfkfmLVxHMVSs8Px9YAPDWb5w7tDHngl5TE74OyES9CM8JdiZCPtgiFjzVi/xc2SQ18Iw6nNT7yWoDyBcRXKVVx1Yds3JJvdx1tAOZLYStJQGr8gcZQhyXUP8lGCooK4rZEbKWomw/iO4mI1ZMey6XOhP5KIRsqqk2JlBXVfEg+4PBxZPNHoBoe1wSxnJlL+uJOgM5pHI4/bZzXBuxGuBbpi0S5JWpYiVgbaBquheWMPHIwkHVuz63KMsgQbVvemqlmykFsJXtbhWkYjk5jGgMXhOcX1PoOblWzUO+xe0UznPaLEsEDCmmfQOYvUhlhBkipaaXeaVbQl1aLEFgavZpiyLNLAZrkVozLdAkPdQI8lkCUbvZpgHEOQcynWUtyOoVHQxJ4gm3fQ9RRjC6KsoAPYontzlsnbeJcU/Yng2kGHyDNYgY0VdxE8V4uA6XKgZkKbl/q6DshhKYlsiWkrPAQOgqKGiuOwmoOFJMb2JSZJ6JMSR0CtIElkF98iBRSbBpGVbOUFpqPRUy7ZpYRrg5J82eH1Cchf6/D+Dcnm0Rw3SyDrMZ2cwlGCmRpcL6huoE1s0rzg3YKmrQwP79iwkjKXFYwtCnTbYLlguwb/hwaW2BG0O4b+lmZw2ONCP+SlYPdOd/22XZQM2RJLa2ZHbZo3OxzNeSz7Ng0DsVYUHBhVkrQOfgTVUPF2xZDxJPfEFrVOSsWycTxJu55wa0DwwJLAH3MprqS8qRPanmRPRnYnxlqwNGFx+HpEe9DCzwsqPTZPRSG3vat4Lz4vDAsGVhPs4a4vzRFQtzWWL0hmU66N2cwMWVRWU8JxD78s2JEprxUUqYKgphloG0pG4lqCoiMZFg4VCWm/y7KtaKkuS8xfjRlxHCqew7KKqaaajUDgjznc3bLgVsSTfRHSEYylkt22g+9KdpRiNtJs99kc2VPgtU7CN6sJA8shH3tHcP2QzYAQrLUNjiWIXIHxJDIy9KwrlgZhz6CHceBMI2L09ZTHcXnH6fDkhMVtFY+PXumuEJXuWkaEMOgAwpzN9liWDdPEXkyxByz2VAVOyeZa1iCbCT39Hs9udni8z2Un1bTLFrtXBBeuC/46SNnIpdgeDEjBrvUWD1+RWHf7VHOabMeQLifUZEJdgshYeJkukiobQxALilsacT1mcNTn69MG53rE/cbl+8WYk67P+WqbqYpH346i2lJ0fIgsyU6oaYSG/ljR14b2sMOKnZJfU9zoE8hem8GO4PZ3E1wNRgrqgeT5HkX53Q7HhUd7yMW72mJ5t0Ojrviz3eBuRkxeFOzdliwUDJ+fgOIBj73ZDEYaIm1YjgyLShPYAlsbgnpC/6KiOeKyt27zyojBl4Jx4XGo7vH2/0+e+ScH8t2++kmGN7b46mTXY/fx6zHlXImZooUjBcv1hL+ohBzfFBxvuYyMe/zhasS3Ap/edsxvX62za81wY4/N0WNlzi62mPxGlhu3h3z9RJtffNbgR4a5yRw9l13+60+2uH8WZpYM0/eXSF5L2PHbFA/l+Ksw4thai9UeB8vAvcolUYazJsHrKKKszXfbikrL4sQ4lJE86yRsrsLuTZvFMcVv9BYZfV6xc0lyZizhpcciPjIv2T6a45k2fGK1xZ6yDwYWtzq4pzr88l1F/rd6mwPnEzbuK7LZpxje0Gz4gjNWTI9lYwm4rSUoSgutDVlLculaA3FbjorvcD2KKdU0B4ser9faTGxpejMODQfijiaONUmqqRclFVug6pqeBjQENHKCzRx08oL9C4qFwDCmJSaFnYpkbNOw1CfZCSAxYLuSWMJKmFJvdydo081+7g8aXJgWfN+ElLYM+42kZ1uTClC2IfYE/YspW30SY/2wst/QOEWLQgzFekp71OftrOL+NUk96R5blzyL1/yYx5oetThltZFQV5ApWkzlHPTVEHe/z4VqzONLgqvTNrmOoeYLRFtT6nRXaDsottsJPa5LJDRzFcP0iiabdcCTqFijQkUt7tooRF5yflCy5MLed1M+0JvnTycV6kyb33jbQu0vcP6+As71JjOvbfLaXkFJCLb6JaKmGMKiGHanFCaQ4AnqwpC0UnJVg+porkwL9jcEUSzYcBSjgctqmtKT63oK01ZKvKMwvTZTxuIqKZ4SXPA0xcCh5EjKMQyupVzSKZXxAH8u4i1bsZWDpGTRsgyjs4pHNl1GXYcwrnArWePF3pSNkkD7Nr5tyHY/Im4qkLFAh3D4Spu5u30OrHar9qkySFdyLWMYjyXLtiJMNUe0Tbtgsb4eEWUEywPdH295rcNkarFUFpQTmKgJVCLYcGDdTVEuDFiSyR3wdmU4O2LzznbCZi1iz3rKcUvia5jvgUxHsN949EfwjUrCmCUJHEktTnFTwdZOjO0Kytuaar8g49gkiSGTgEg0dmLo2FAqOlzZjlnbZYMUZNYVB9c0y1MO7UbKibbDXBFKHcPNNEHvcimtdcGegYEdV7Ntd1+3rARFLSnnbeZQ9NcMUckiqGnWfYOtoV6Q9NS7YOtIaxquIepo7loHkbWJd2KujtqUpSQfGRr9DtFaTDsQWFWF2zaU2tArLC4VU8yMTztJqcyDq/K4Ax06Nrja4CtJYyPi7KiFP+LSl0gGNzXlTQUFi1a/RT2ApeWIXQ3Y7BP0hKAsgZ0YFsqCQ4sap9dhM06p9Vo4NUOSgbitqJiuLxQbKlU4rRLmx22OCYeZ2ZT5jGHJUdxft5jXCblUsjQmGb2hEEMeb3QiKqMBh32PYFvzph8ztJ6SDSTtHYWTlaSWYC5MqbmGx2OP8xOSJ+sdPnTeMLYnwwt2xN6OxWLRcM88nMomDDkOSaTolQ49G4o3HcXFvZIHOg7T1xU5x0LmJM2SRFuC7KZCbKboakp9yuGFQcXkNhxxPIQnWc4JGp2YRGmcUFOIBP2pYCtWfKsvpZSzuW3JoOhOz+zAQjiC7xFxoJjh/luGyqwiHHJYHXfZHpB8e6fOPS+H9PU75LBoodgQig1piHstjgiPN3WMV7KoRZo7VqAy6PF6LuVo3WbgUsRbtuG1YQUairGNE9s0hSKXKvxYcf+GYO4Bn3xdMbqQ4kwGvFXtMOHbqIzgYjPmfanPSxNQvdZmLSdp+RYl7dBnS/YWLKaQiK2U1BO87CY45zo83HGIHLjlanZyEtnnIoo2fk5SwpBJIYo0cQQdbTjf6vDBa1C9M8uzmYQPrEpeqTeZLAS8YCuO9GWZSCXjZyLKkWF9xqM+ZnPFTnGuNiivJKi9GUpCsCEMe9+OeWMQxK4s2xlYTWPWagl751Lutl2u9xpYTxnq85jTisG6YV5rTsYOtRGbq73Qm1rsXRX0zCbY6wnK7d5vRxlB24VloVhwFHUfHtqRLPVLylKwanVbxHVpUJk85X2fg/8FyPefXICrX/kkjyvNH+TaCAO/3syQ92zeancoZj2mHcmfRk0yCj78lz72p7vP/3eNhH/vWQz2etxaaLLdbHN4qpebTzYZWCwQu5rf/0yDn/+BxAmgfDrLP3wiouMZfuzFiO0pn6MVj/8p2jy2LQhyNt8cciks1AgsaHmC5/q738Wdy4r1huK46/HVtsf7exzuLQmeXw35sfGAP91scqotuDfv8NM7NuENF3lF8bXDbfR9gslrCd6JMn0Zl1eubPFzpQwA5641EIuGXzpS4P/oNLn/Bx02f3yIwlqTt5M2QxM5zqqYdkczYCQPBj5aQqAFFy7VuXHI59jVlLcsxeGGZI/ncnVckK+nzHmGkQ1D4gpqATQygnoGZjYMtVjR3xL0jPpkkPBDT+DzuYRCQ1O8GXPrgMvEtoGaojpoMbppqGlDMytoZSUIQ18HRky3zTNXksybBLmScDiyGIsE63nB9RIYbbjrVETLl5wfhUHdbfg0soKK7sIr41iRtyXLZcmuJYWtJW8IRU9DMzYa8HohIZTdhtWwlgyZ7p2fdb7F2mGfbAj9FyPO7rJ47xnFwo/kCaOExU6CqBn6jMWFAcOPVB2+UQjZUxcM+BYLnuHu64okaxErQ1sYIgG2p7kqIVtxOLJsMXfIo3Guzj2VLE/eZvHGbIP/81nBmOtRVW2+eIdkKzAciATjocXbFcMDTZtMr8t2I2ElTriRNfRHhkFp804ZbjmaD81DJoSaNGyMO4zOJmwPWOS3Na4SrKqE8cEMUSMli+SsTBno9Th8LiFsplz3DM2yRWXcY9cGfMeEDI4FHJ6D/EbCJanoCENu2uPpXsXCVspaZoDbO9u8p+hxUFuk24Z2aAjTruooK7roFj8Ll3KK7PfrzD6UpXQlZCsjKPV79FwM+dJhyScvwOW9FnEjJTEGBeweztJ3M2YtUczEFjcHZLdNW5TUC92yTM5IDm4b9HrCU67icWOxVou5d8th5b4y1bzAlYpNE6M7Kf5szETe5/Rym7Sl+PGhAl/ORZwMLcKa4uKw4J7QYTWMSFS3QLBcgHwIeUfieBYIyKWCd8KYAc/mkqXo1H9YjnJslisG3dGcnxS0V2LCnOCEcAktOFa18TZTtm3DpquwpGRcWjRGXDZ6JIvXmuxxbAp9LufCiInAYbueUNo0bGUE+bYh01TUbIMlu2aHrayApsZxJP0tjefbVH1YysFBaXOmGnLbvCFXcqn2S9Z6JIM1zYpr8JdS6vvybGV3UVu+zNBqRFlDbcxht+ey+3rCUivlfKBZqUhkwSZNDU4npaLhpO2xMWTxxmyTDzRd2lLz9pTF8QXN2pTH8lrIScthA8XUUIZ3khi9nDBkBBiYdTTpsEdfDWYuhlxzNdkDGca3NGeClO1WyvtCl8VxG+udNtVJmxUPHk49GqsR15KY2Bfc27A5dciluBwS5S2ym4qbozYnFrr8v5cOCLylhPe4AW8Mw42FNh+u2YSTHp3rbdbGLCJt6K3DTaOpVyRWyeLwtiSYT/hOTrEtJasZg5MqZqoWeVuw0KPxPclU4CA3EvqXFT2DLj8Y06TrKeMrhv1rFoMRtHrh5ojkWh84wFhsYUtBuSqYWFHMuYYf9CmW+uGnRY6pN2Oe6le80p9yZBEOr0v21MG7M8fTu+HauToPzZcpZlvEgSD2JJf9lLfLKZ8McjiXOox7NmcPOjx7o8kDm3A2Z2gM2uyueAx2JJnAQWdsjAe+AFsZVKI4s97gI+c0z48BWUGyGHNoKMMVV5HZUBxp2HzhMOw5G3NvMUDa8ocIHINODZdVwpmcIsw6rIYpP7sq6ZvJ8LSbkBeSqYyHbhiyS4q+lYhWGLOQNzglm2Wh2FKafCR4r/b4u6OG4VMRjxmfL/SEzPQGvGIiHiyUmDoTMbCi+O6YZCuMOVq1mWkLSrskX9ivaGnF8TcTZooB13dCnr3T5vGrkpHrCVIKKFt0hmzmRixuFTVpNWFUyW4reD1C3JZlEoe/ttv0nov56UWP2JdczGjeHErYKkPGsgksQdaSlBzJsLEoNwTZluTMUMyul5oM9geseAo31Fgdg5v4zH/kf21i+CcX4MIrn+LeTszXshEY+HDLZbDi8/lWncf3jHL9/DrX3IS5jOH9r7rEIwnHd+XQGpQy3FhtcWVT8d69OZphSvAF/x/f4xsfbxIo+JGv5rhyNOXvT7Z5bCXHnS9VWXlfkelVxW/sC/n3tzyymwkX39PDq7cWmVqGjVHJ+YpDTsNgCDtKc89SyhezJf7bkMvnqnWabYfHMzBZcPnpmua3hzxGT4WoUzYiEfzxe5vcs9eldr2DPtTP7Xaept9k30IL17N466V1avk8rw55HNIhR063yD04iLhV47lBxSNBwAIpz/qKjfmUj61ZTAxYVFspT+21+blVi3O+Zn/ocSMXc8FPcNdTTsR2l0ReknRMl47ttBTUFZujDgMRDOc9zvspBDZx0q1aH5nXXNrnMLGtaS/H2L0Om0H32LRRtmg3DW1t6BiNHxtGku7RfsMxNLI2Og/SFvhS4CiDaWmCDYUXGoQNW0M2laZhweuun+oZwVhqMesoxrc0a5MOvauKGxlQ/R4PRC7GFZza6XBi03DxkEMKFLcVPXMJlRsxbxyzuS3v487GvHt7QN87bRZLcN+bKQs/2Ud9scF40eVKDg7cUHy2HHJbxmU+TXhwQ7CchcFY4qdwplcxndrsupIQe4IvHBTs24bClZThmqBvxmepHTGxBavHMnyu3OGBdzTnpgRJaHhoNI+abWNFmk7RYnsr4c45+NZtgqwvyLVh75rBTPokGzHDsaTjQ9jRrPR3Cf8yNgwbydt5jWVJKrGg17NJFiNWdznceUPzdhTTnPHoLblMVwWldc3ZKOT5Efh4NkPwRsgzZc25imImCDC9ku1rTX59zWPpTp/YKzJ1c4f2umJOC5yaxkfgK4OQhiv5lBv5FD+weEBJ5sYtdj3fZuv9RUrLKY0bbc7f5fH4kuSzu1I+9rxi52TAvNQ8sCJ4uxYSHM5hSh7PbdcpXQx5dMklI7qqKDzYchWv9goc26Oyy+fcao1frTl8pxDzwZc1nt1VDi3nDBu9cGwww6WbbeoHfao5mPpem/ftK/G3hYh9rsPBa4q/8TvQa3OyahA1RZyTBI7FTk6QNhVBQxNXJLkG7Ew6nLyhaY/7vFoxvLoRMnYt4gnjMTss0LFGCejLOrjXIp7eZQiKNru2BDMLGtcWvHSbRXWxw90Lkj2TAc8MGIZuhJSGfVqthNVIM4XF1mrMO7sEYz0+J2ZBBIKznmLkQkg571ALY+REwHVStnLQv6GJRl32dgTb/TbrQlNrKmgqJvIO6WrCwHSOnssJbsvHynUgEETCsLkVcyqjqE44DAibPS2LsTpk6hqhDWCIhOHFSYPaTngwn+Fz5ZiMggdvGM5MWjxyVlEY9fkqHe5JLN4oaAZiwQCSXkdia0F9Laa2k5I4AiYcJqrwmp3AmMe+uZTFEmztxEwvGtb2OhTyDrmtlPlBm/GWZHBZk7Th2pRm9FLM5gGPxkZMb8FBzyYsHPGpZgTW5Ta3+y4vjRtyqyn3a5f1iiSsJeQcwWwGKk3DQD7D4FKK3E455yh+0G/I+y4nKj7jRZvQgkVLsx6lkBqmaoI9NxVsJ5RKDrNHXJ4OQ5iNOe5I8hWH5aJgUxkGHYtiWyDqguJSQt+tkPms4fQIrIzaDJQ9prHZeyOFWwn/42hKT8nmjobLSo+k7mo2Wgl973T4aN2jem+O7wQ5tmtbxLEmijVjeZsPWi6d0w0+f0zQDDX/9qLEvr/Al92U222H7FpC5eU6W0pTCKGSyK7GUAiUJ6gWJWbC5umkxdFSQFRNKIz5nN5pc3hH0sLwbiflY6nHCw/4fG2hyWAIAyWbIcemb0Mz0Zb0pd37wXjU4u8qEeJiyM/WPUwK7aaiblnM5g2nx1P29XocnzVcShSHty1yluGtMcH3SzG/es7ilZMu34rbPJEGXK5HHC9lufOpiOv9Lp8daxEM2gxnHG62UzbChKM3NL/kZ3k2CHlrCAZuKNb2OPzMaTjtpsxNuERtjRV3jSmllmLvtuSAsnE8+IdJxd7BgOlXOtyyUo6N5PjuIYtvVFvkYjiQ8zgsHcaWoViDbENhRxrR0ajI0HRt2hKmI8VXPuyycb7Opy7YyILFWkEwX8mx+ujfwD8HuG6AS679Cw7X2iy0mxhgLJPHBJIzMuHk+DgrosPW5XW+PdAlMLpG8OlVmx7bYvtmnb4Vl6/sl/zSngJn5hpMfyv/j+9x82jIl++O+JW/zfMnn2pzsOqwOw0YPr2J+ngv8s0mv3ss5dcWPfrfahH93BCfu7LKnrqgVZTczEEuhZ5IsBBoppYjjhb6cKTic50m/26oxGo9os+xqSlNruCx/kZK+Q1JIg2//eN1/k0xw/nNiGSyn8MyQ7rZoD+uk/cs2t+t8r3DRX500uXsRptgKWTMz7GVTdjshZGOYLZoeChy+f6QxVfXWmS3UrIVi3+RzRG/VqWv6PG6rZnt0fQUbXKJwGkpYldQ2tEU6hoCCTlBJ28RtDVTqc1lT1HvGC5bCm0MvVrSW7aYuZgye8RnbDXlRtZwaNlwYUJQDSTFik9BC3oiyES6S9tPFJ2OIkohjhUTtoVXcFl3FHonpbKS4iYwP+0w1ZFsqxTjCmJS8k3D2+M2ezcFOgC/ZdgYtLg98rBvxTybT8h0DI/FPquHPBrLHZy462ZtKc3rZc37hvOEbcX6rQ731X1OPeyTudBgwdXcfSZl65MDfHmtyr3zmh9MCj5ieSTbKVUfdsKYI7bHVyopEnj/dbCyFm1Ps7ylUOMOfUsps6M+Nz3B8K2EB9qK+SMer9xscV/ocmkSas2U4VzARzYNF5KIVk4w3IEXhwVrjmaiKdjfFBzqzXJto02nmnIgtrGnPBYWOiQqZW7GYyEDt+8I/NWE9QMubSm577rmbDtkZMDn3Z2QaNzjnnWb0SspQkteKcM3BkMmsy6fyAXcPN/kC8OafZkMByd92k3oqQoWJjRPb+zwEy+DsvYwPzLHm4MhbiDxkSSxQUUGmcK+wOdAn0/DlbSiiNtebHFpt8Vd3+uw1CdYOR5w6FTIqXHBI9rjj2cUP/50wpRt89czmsMTeWaereOHEL2/l1d6Fc/PNSk1ILAtAteiL2sxM+hCAqWFlHTM4o0XN/h4McdnDxr8BvQHNiNSMlPTvHW1SWNvwHur3TDyPw4a7niyw70HStSWI/62L+bErjwHdgRn6i0qzZRgW1Pb41O1wNpJGcJiydFMl12Sax2aZZtoJ+FQQ6JvL3B5SPLCdpvdF0MedT06qeb5bEqu32HfhZQ5V1Pvs4n7bJpoJi/EHKsEPLNHsHKzwxMrFrXbfc4ut6n0uhy9mvJkb0p/zuXArOa0nbI4auNXFT8xb7F5V4bLOx0mXYvlzRA7gf2Rg5r2ON3sMFhxuREl9ISCSgplI6h5MJU4rM62OT9lofMFCrpF0M3F9Dclw0sKq2qoW5IreThfSZmvaJQNwpJIWzCznHJbj8+TVsSv3fTZ8TVfndb81LvwpSnwVxI+lc3yZTvi8cuGvO+gM5KNgk1saXpa4IWaJE05LxN2DvjcdQPkQsLW3T6trZDNPOxowyHXZaGTsE+43FxPORVoLveluHnJv/m+wdyZZWW2yd4NOL3PZnwyw8jZCBeoHs3wVdPBuxpxh+uwMii5qBNyLcWerIcXGQ5dM1xtJ7w9Kmn12YzlPY45Nj1rGuZCrkYRQzUYSyysnIsVGeqp5su7NOeGNWlk+MRlwZ0jGaoHPV51NBe3I4ZXYwaA9k6KFYKtoZEXtMdcyn0+BctGbsFt50MGV1LeHLX4yyMh70t8Hn0xwY99Ss2I+pjH3O0Zru5SfPfGDg+dT3nA7cfqiVgdstnusSmvx+RfafAnJw0/lsljlR2+vLXDZ55LGNmXp3Ozwzk7ZX0iYHbA51Qjomc7pVenYEPDAMZiOEx53+4A9WaLq3f7hAsRx7Me1x1Ffk2RPVnhmStVfmXJxjqZp51CcL5DfSHk7QpseV08URLDkUXBI2WHt++0+AenQxx3LRwFS9InJe9dESythDx9SDDie7wTR2TnFR+9ZDExaPNfbk/4zGuCkZkMz7VapKM+jz2b8pUxyYs9IQ8N5nBw2RP7NHOGhqeYpU18qsEHKxnW4oQLY5JHziieG4HJkTxt6ZG3IWsbAsewKhTLYcJ8OyFUKY/XfPa82OQbd9uUdmeZfavGp+cswpM54tgwcDFG72iuFC3mPcVSUTFfUuxkuoiiQHS3EMM3U/73t23e/PEMf6cbpB2Doyx8k+fk7X8H/xzgugHOvfazDG7VODjSDV7vLrZ4tUdTUS63DYzSU27zq+fW+XQjYddCQnRwEIZ7sGLNka8t8t9mIm7vtTlc8Pn+C03WAoetrOYTZzLYAn7/Mw2G2hYtB35sp4fc1SotWzF0X5GL71S5fNRndCvlruc7+J8e4s8XN5nqdOnMsSVBG3IpLOUhWE/5+FgPv7tZ47hrs1vYdFLosTTjFR8ams3vSr2fJtIAACAASURBVOwNmC2n/MX7m/w/cZbncgonCZh+q05lK2Z5v6BZstn9esL/dTLHHw0HvLnSRLdS9l40zD+WIxcmXF2tc2J3ha9f3+Ff13NcerTI0502J4TNoW/VeO2gIK4mOFM++25p6msxmQ6khzKctiLuP6cZzDksjrts9HXF89OzCedyhlaiaU367IoshmuaSkvxei5lrgR3vBgTH8nSezPmqWnNnlBSSX32vxPR1imnh2FuEPIVl0reoSIc5iKf/OVVClmba4Ndx2WgugiM4R1DvJ7w9EHBgxmP4q2IZc9QTA19TdgRoMsWkS8Y3RY868ck/TbHVgTtMZtn4piH30x50PFYkJqv9CmUsfnUVEAt0gxfiLg0Jhg5IzkYGb7/RIbijRYXrJT3ntI0P9HPd2SHD2zDwrUmTd+mLOGdPs2uSLKHrsqmERgWopTjZ+H3HlI8um4RLCW07utHuS6ubZBpxIFzTVZ3+/yHtRb5UDEd2/zyTI4r52sEtmAna7AxlC2XZlEysJjSHrB41ld85JKh4wuMDfZKQpqHZs6iNmBzW8fiRjvGWIKDC12t0akxw5hj82bZcGzTwqwLgrbDop3yjZEQP5A8ls1whyd5+maDd/slj40XkduaqVMhA+uKJoZs1ubM+3J8MWiwhcfhdsJ41WJyHUoZm52iRTsvSFywVhVjszG7FlOSgx5/dTDl7udanLrDZawGhcsRl+4JyAdFdta3+NGOwx+MxrS3FD9VzjP+gyYX9jrMpymPnEmZ2pXn1sksm1ITxZAmAq+m2X0pZGQ+ZrZiMZ4VfOFhm9Ev73Bgb5nrOZvpG23iRsxTgwZ3T4Z7lcW7F2tczsEveBn+0z7F8e+FXJixuGsiz4HXQ5bCCHkyT7QVYbU1q5GiuGOYKbh0xl2op1yWKdm65vqwR2YroVCRxNdD7tiyyA16LE7avJFJyESGfbOKubxgOu8wtKTRTYVqpFi2ZPFowJtBwtTNlAO+x+lhA7dC7sPjVhizOGRR3FLcHLQoZhwm65LebUOrJHl6IOXoqx3ulh4XZUzkGvSgy5kcmLWEJ2TAK5WUoS3T1agpSR7BbJRybhCmSz6HXktQSwXq/TXOlzUXipqGq6m5BuVIei2bibzLeL5rxWjjMFhVTC5FbPZrXtlo8pAT8N/HIjIJ/Mo1h2/1pjxg5aiP27x5eZufI8MXxjVXNkKm1gV3LnsEUvLWcMLV3oTJosvDOzb63YivjWm2S5J7zifcsyvLNZMwZgQ3i4KpecOfl1JkaLNr0mdvzsLfMHyx3OIzX46p3FPm1SmYuJxSPNfglds9FvKCY2dD7q9kmbs94IqM2dyKmawpyrZFakE8l/D2Los9Izl8LRmYV4zdiKnGmu/0JqwEgr7+POfsGHsjZLqqCKTF5XG4t5TlSGjRKVp8PW2zdbPDp64Jbvddtqd9lnZ5tArdswBtNMoIOjGwAbtupey7HpKkKT8YtXhqLMb0SX56xeXAOc2Cm2VtOyJIFEOuYTjWJIdzXH/E50tbTc5W+/jApVs8vmqzuwXVDPzWvYof7c1z13c79IRw/UMFPus0mH6tw+qYw8HRAoWihdsWiLzglZbixaom0rAvK9mbFVhWwsEXGlzZZ/HoW4ql2322r7SZdG02xh3uP2VYvj/gr1STh99VLFqGyz0QBB7lnMtqrNmqa1pNQ9tLsEj49LuS+wpdM4xJDKSGMFZ8cVLjTfu85x3YM6+4+Z48L4+kvLTW5ra3Y57A4/fuV+RmUzLDLj//HHx+lO42bU+B+qbhQ890yMQaARgJyajNf32PIPtSk54JF3c5ZnGPy50rHnvPJeSirnbNGIOyQGYkq6M+CyMeKlbseXmHz94D7xvKM34h5crdAV9t1rj/1RjXdXhhXLFaMIy4HoO+TUFI/EgShIKMkmQjyGH47kTEzXfb/MFLFvLeDPO9NqkvSL0s10b/O/xzgOsGuMqNnyNaXOHB6T4ATs9u8syIy76oyN7ePgaLIV/Y7pBf2eS2Syn3bGY4/6ERBq824UaV35lO+K3xPFuthD/aCSm0Xa73KB68ZfHE2Qzf/FiT0wMpv/aSxeEVyWvFmLXb85xA8PdJg8NDvbxidnjihQT3gTL/kDbYV9UYk/LtUQuAj1yIqQ36pAKmQ5+/iFr8zmiRZzdjXuzN8F4n5fh6zJKtuXVG8J7rPm9MxJw9mfBr6zbP7ba4+0t1bk761A9k6Ay79L3eprjc5q+PFfi9suRqNWZLxRx/qsPcL4/Se2abF7yYB3MZXvMT7JdCPiDyvPOxMuZCA67tkJ10eX3AMLKm2Wd5uH0up8qaG+cbPLFuc+oOm+VOSnY9ZWjTMFQzLO93MB2NnAw48FybWznD6qhN2mtzRxVWSXlxQnD8+YSz+wQP2x71QNLzcpuXD1gURzwOhpKemzG6bsg0JYXYJclXuPFoi2/s1Nl9MSFrbGwjcbTkaillaxw+rX2uzLfIl210rGgLQa8RJL5hA+iTFteSBF03KM9ifNil73SbnhNFvtxjuHClzVjHYvdkhkdykvpqhC7arL1Wpa/i8fu7Et7/iuQT2xbP/mSO4s0W77gpHzpl4O4CK5drtKZcPj+Ysm/bMGksGlrTk3MIJciW5ugcfK9f0BmB8bkUr9/jwDlJMl1ifVcW1zVc2lnhsW14tc/l9zY6/G7JY3Iu4nK/IXszploQNHOwqyMJlOD8gGAitgiWYpZGLQ6+3GZr2GV8S7MaaFambWTRpvBWh/lDPjOxZLMWYwILN9Iw4HIhjLkcSEKjfyi1Frzfz3BPKOmsJHzFiSj1BxzKesw828aPJS+WDV8b6NAyhk9eknxgw6a2P8sp+zD3LZ0hG6bsFF102BVIe6nGNpp63uF6Bt7Ixzx0NWL4ZIn/PB7ywa+3uTVssX1Hhr5Fhw++k3Dtw0WeWVzno9Jno9/CvNbk8iGPsJxhf9nlL1Y3OfZaxM/MeeScroYmFVDz4OVBw1MDKSYQHJhP+Ve5PH+0K+ZTXwoJKw5fnzBsW5K9IznuyEii729z65Ecumwz92KVXyzm+eN9mpOhw+5XQ/5qOkGXJD//huHKQQe1HXNoAVq7fK6OCqqJYjwSrK5EmD0+D65bqGGH7ycxUzsJy32CnY6GDUW2qaEgmezx6bsYcqVf4Fs2BklqSWo5CFda3LEisMc9To0JWusRAzsay5ckkaIx6rGvJslfirjlG1azEAWScjXlwVU49WCGy0nETKvLbNRtxeFinp0xjyfjBg/PGmb6PNYLgnmlme1o9mdtDt1KqV3r8N1pwaXJAXbHDQYCi95M13ObR+C3DWndEG8bsi3BQCzJzzbZVjFPT0Ax0QzeluX1pRY/EfnUXXjWizlZzLD7xZhKIjjzkwW+vbzNp+csrCGXl4cNr4iIjjbcmzrcNwetzZRnyop41OVEfw4LyWkZEr1a5xdMwNaYzdqNDt/qhX2FHMcmXYpXY0ZPhXSExByw+Y8TIb/wlZgxy+NCLubUSZ/D5Sx2KjlfSbj8bo2fekfSm3WICl18y46veSqImBnIU27bHHkrYXIp5mafw7MlxfOlkKMEHDmaZcNISpYkY2uuRhFBS3OsIRk6FSETm+JmQv2kz1uHbL5WbRLOh/zCOYc7ahJdsFCeRFkSbQuCWkyUppztgRd6FbMZGCr4HBl0OXAqorJl81RgeHqkDRKUAiMM+cjwm6cgc3uF2YeyrDdn+OuNU4T1DjNbmlYF3jOS54GXYl7NQbim+PCmgAd8nt8vGWlKCu8mjF2OsIWFLMDOfpfWZPesRGynuAspmazgTyohP7Pp8JW0w6PnFeffl8G7EXGH8NGXfEpJjHVc8L2DXctAj5HUWxKTCmTFwirCjjRcbBm+vx1ib0SU05iyNiRCIKQk12vz3mzA4RdCbtqGN/2Uf3nFxh9zufRohj/RdWZeCvmXic8XH5E89lLKt0qG+Qz86G0lvPMxJ850+OK04IVsTG9L0BMLDlThPYM+v32n5viLIVP9Hn1XFXMZi1f6Um7mUyJliA2kwIFtwXvXXI7UBLZQ/MEdmpNTBQ49F+I2XMqNiNX7A76wT2HHht7Ixo8tcjUYWUuZWEzIthTKEuy4glVP09CK3QcDfn9Gc/V6m//7RZdM2aVlKRqOx42f+ecJ3D8GuMnZn+d7yQa/4uQxBs7udHg9mzLk97EvUyTvp1TtkG+/uEp1r+a3v2notbO4iebPdmuaQ4rPlHJcqXb4s1zA2x2BslIqaZM//GYOp6y5dTDm2M08X+pvsioMd95d4NFXW/zpdMITepAvju/wo8928Ec8nurV7JkPUdspT9/p4RjYf13RG0jiYZ/tm4prjuI3Jwqcy0raGYu5hmT3jRr5UYs/rLbp2RAUQsH4bpcPXEt5+6DL9Pea/Pr9Ff7tlMOVTZu7frDOelZyc3fAzxYsGqHmUqfN+LMtMh8a58riBi2jKTpwZDTHf2jX+Vff0gyNldFrdb5+nyC/rfB6bL6e8elPFHtXI+6rCjonsvyZ2+bEGcX9kU9gKeKMYCtnqO8kBFMB1lttbt4RsN9y6T8XoxbbnL7DZirvoRuKz00qHug4hB3FnWcSTt/pcV/isD7f4dyQwJrwObOVMl+NkAb61H5+661rBPf4/GBaMtdQbHY0zbZmIoCPGYen15sc25VjdaNDeUezWBAUtlM2fSgWHcxawo2MxfRIgRMC1i7F9Nia2mwL96EK87t8MIaBd1s0bnTQD5cZe6HBy6MKXUs5sCfPX+qI0bcifmXe5htPZJi6HvJGVvHA6ZSrd7pcsDTv1z7vFlIObglmLcWglMgEjBY4yw5/fqzFxzdsStdjylN5su8kTGxB0ucwd3uJ+JDg+TeW+NRIke9kLR6KFE/P1nggdPi2iRjJS6ycRSkW1MqSA5fg830x3ojDnmsJ2YLNnudaNPttkrLF/G6HyZrhegAHNw0No2nkLVrScMB3ebkecjiXob8qMBYklsEJFVvbMU/2KFq9NncP5siuwz3PtXhlwuPvCy08I9hfzhKN2jy9WufQvOY3Lvgs5Q6Sz81xS7W57qQoafATgae6aqy3xhJCW9Nfd7nRE/OfXzBkPtjD7/Q3OZK4TNyQ3H2mzWvllPs2bK78Qh/PXF5l95qheShL5Hh89JkIM+iy8IjPf9qosrkcko/p/nsWEKSSXZ7HbRMBRU9yVkT0P1XnPfuL/GapzdiWxb6eLH1DDtmaYuDrW3z7bpcPRx7DNfiPxzRDTzX5VCXH+nbKn+yJOVH0ufeK4fM9IZ9u+qzkDe8MwOxSxK5VONpxeG44pTztc+8Fxf/bG3Ng1vBwPmD7aMCprQ6VlYTdocCuuJhqynkT0T+aYeCCId9ycLTpht1IsXLc438eTJlf7vCRC5IjgcPmPo/LgzC+ocmdafP9EY3YHTDuuPRj4WpoufDsWoM73ww5XBWcHQG3aNOY8uh9LeK2VQnHAp48Jjm902ZgMeF4bLMbm412yjO9KfnxgCM1h1JtHOIFvJYiX9PkaimWgmpgsyMhNJpQKlqW4vSoQQ26HO/N0LIUPFcjdzzHawtNCkpwYDjLrpdCfv+gZvei5l/fsln8yRJ/47aIrkdMbClO4CAswZtWymJF0lP2ONwTUG8L7n65w8RKQu3BHN/bA89crLJn0xCWPE7uyTO1owhOdbjuSr7SF7NiJ/zyW4LddxX4L+U2UxdT9JEsd0UOM891yLehdjDgxZMuLyR1VMfgAA6CgiU50XGYfCtlYCXmjSHJN4dS1oWmL7I5PpGjZ8RBXEh55EyIa0A70KkIojBlWcGzA/COHzO+LfnFSxajRcm19+V5cyDlyc0mg7cUH73sogKL2DKkUnOxojifT+ipuijP5cAJnwMKZr7dpB24/Fm5zUZe856R/P/H3ntF2XVd55rfWjuffE7lnFAoAIUMEGDONAlRiZQoybZkWbbadsttX4eWLV9fp+sgXQf5Sg6yZMmyZZkSJUYxigkgQRAkcq6AVKic68S9z873AR72UI/up37q0Vpj7Lf5sObYYXx7zTn/n/YWg+UIxmsxZ2s+zJT4yn6wb2rh8MYbaGo4wXLkcWDRZrMU3D8WM7UW8q/tHlUUfOHz6bOSW2OVWVNwPit5J+szr0R0rwk21AQ9QsOzIKhfl8kZWPIw3pvixJk1Wm/I8EJU5xfOwcU+FWUk4g0ZcfNVgy1zknR3xFoWslUFlRg1jDC9EI0Qr1llfthgbr3OqSBm/2pAo4jZkVfp1iXpKZ/B16o83yU4kPAoahoqPr//ls4GTbD4U2l+Laiw9UidX7+o8K1tcNlQeN/2LO2Hbay5kL8Y8lE9iZE38dQYoph51ef973jctz3LZ9sdgosetgm9CYPhZpO8qSJ1QSxgLRCcWKszt+BiBx65EO7uSHPv+ZCzoeTdwKN/BW4tQacS42oQeBEVJWIiHTOdkcwmBUs6zCsRjgYNvkK6oPK+Iw6D72ni12ObtTmHjBuT8CUtuTxbd/wz/BjgrgPcptlf4sXKPJ+IE8Qx/LlZpStQ6cu20SEtpIhpLtj8/ukSu3SHkhrxe99QsftVfn67ze82p1HnPfqnBSc/kOd/TrmM1GJcs8q+i/DrB1MAjDX5/MueGnknzSduMul+YoUntqn86n549heS5A+WaKjD27sMmi+UWZIKE+tUzBDccsDepQAxlOPJCZudGZ07kzpvtyYoOAmaNR2vVGbDdJGxDQafm3HIBx6/2J6m9USNYreBHPU5dW+OnCIYctO0fPcS+zclae81uK0cobZoHJ2r4ozVGMo38M6AS18p4kjssFUaDLQm+NOlEn/xPJzvifE26pzLxTRoKomWDIW5kPUXXY42+USTDrckkvzTNpjyQswI8g502jE7hMb4hIO91eT2q4JLayH7e3y6Wgy2HHOopgVuj8GOZcFYFNDlKxzWPW4KNV5I+PQ2WGw9FdHhwLV70oyk4TtzPnVvN7K0n3unfD5oa2iNKmFBw2tUUb2QHyxX2TuQxrrosJyF2Ivw/Yjj3ZINq5LWaZ+5RoVCb5LemZDXVl1eSQYML8DDGR3lgs3anQWCyzWMWoj7/gLl5Zi211ZY2GlwKRWx/WzE+hty/LHpYZyo8qvTgu89aLBnPOLkoKD5WkC9VaN+2aU/qxE5IWtazKU8ZIXCzacFf73N5yMJi3iiTsbSWXc24I+GQxqWBL9yVqdDxizfkubJXQHrX62wY3eOyYs1zvRLUqccXl6ncf+cT1JXeNcK2HlR5bGtEe9JWuw8ZHPyZoOmcR9Fl3SdqDNxg4HTpJBaCilMwUhDAAWVO5MWlQCOT1dp77AoXXQ40fif74+bEORbTYbSJnOobDnmsnPM5dEBhVdyDjckkwytM7Ed6CnHLLQp/O1UEVEMqGW30rhyBtOPydoatnp9CjmWMVoILapGrt9goFVjxvd57cIaX30Ngg81MjPj0nvB5s+3RsxEgkcuBjwQJDjzqRyX3DpeUeEjL9S4loxpmQ3RNyS4/GCKry2WUeYgmZGk0yqDWQUtgsbTHnuPOETbDf5qa8jOZ6vcsLvAqCnQlmJyiyGFqzX+eSfc3ZvB2F/BWwnoub/Af2moctfLAReGBOvbDO5/w+fJtM+mQYvoVI31m7OUp2xyTQZv9Une9jz2hiq3vOvx+BC8R09wrlXw9sUqD42G7Gq0sDeaHFMDli7aZHIKe+sax1YDns55qIEgU5dk64KeVcG+ZYU2M+bUPRqHGkKmyh4D4z43zgsuNYK9xWLvNUnrmE8cKywbMbNGTN6P6G7WOTQsOFm0GfYUJlJwz4WYv2uNmVdCPndU5YZQYWWbyXS7wkQ+ZCLyafYFO6cgMVrnZDLiolUgE5dAgKMKJpIhs1qE0MHUFPKqQsFSaU6qdKga6jLsftemkJZ871ZJy6sV/NvS1KKYDQccvjIEe1vSvKV7MG7zX48LjNtyTA5qXNQCTiy46BXY1mqQzCosFAW7T7lsHavzdofkO/0unzwcsWkgxflbLU7aPrdIlfwRmwtuyHdbfJQQ2gKL5RaF82GN3zsUsPHWHG93CjZfCMiM+DzWJZErAZ+YEOQSClfuzjFhxaTKPslqSHKxjljweKUHjjXH5BSD1oxOZ5NONqXgLoXsftWmqQYXcwZToctUImA2GVA0Y+qeguZr+JbClaSHInw+fF7yyIJCskHh8h6TH7R5nK25mLZAdQXSFWQjlWyzTrJZo9sQNFzzWP9qjde7NR7P2/R6OrdsT7PkCjYtapTaFSp6TMYMebVis3S2xJcPqjy//n4GdowSpFwqZkj3NZvgbJ3Pb/T4aG8eL63ytWkHZdlFUXyaqoJEXSOKVZw8uFGM4kVEMkSLQFFAUQQ1LeCvxhWevk3lfUcC5K4Uh0fW2KVa/EnGJbBVljIBnSW45apJW1lBD8AIBQALqYillI+TDNhZFOz1FCbvSDG9XqPohhTGfIZPOyhC4Uv9ITNRwIauLGabwrcXKqRLLr90WOf9QnDl4xl+aa1Eet5loKJz7+4Mg2frTCz6fL3LY7ObYMcNSUoIiAVRLLDUiG8uL/P7T0W0P5jjO6mQzaZOvRZTGIvoXYOooLKWl6xkJG5eYCYjzjs+ouLzntmYs1N1Hm8NacFgPgqpE9JRC0gqkihSsF2VmqFSMmNkeH0Ct0FTGOpTGWzWqbox5xeL/NLBiLUPN/LLM1W6VgU3bzTpUJOU0n8DPwa46wC3feWXeWF5ln22RhzDXzbVGRY6e4xONHFd17gl4/FsqUbnWws8s0fycwd1llYFr9/r8gcixZVTJe59R+X0b3eykPP54qTLuBNiyTJ/8lKCdSsaX7yzQraqMbPD4lctifPaCnHa4K6zMRc/XeD8yBKbR3zOfSiPPVpmRYeWWCCDgGNNCjfPxKTbk3xl2eZ3mlN4Et5OZtmtX/dsjaOQ1P7LNN2f539bjCkFEV9tVpl8a4XGhMF0JLDuynJlWWeoHNL7wjR/tjfDL3cbdJ1wSO9I8MJMhVrF5ZaLGid/NsuG8zUOqHXWuRIlFshug2enqhRyKptnQ7QmA6XB4raXA1zH45vrY1Y9n3vSOm+bHr98XMPKqgQCYgVqCnw345Lq1nlgWeUrUZ1yi+DDwmLzGy5XB2FZBqwvC97YoDLkKqxdqNLZb3GMgHunNJIzIc92R6zIgEfGFJo2WUzdkKSudjKpTDMbeCyVPdx5j6gckHFifEty+2CGznN1vjzo8XBRpUJMdiVgJSVps2ElpzBjxDzgaDwlfZZDjVJd4WymzgcvedyR1cmeq1NuUlm+P88Z3+QnX1rh+T6PIU/itKk8mw34P16NMB9q4stBwOJIid+aj/m3WyR9YwFzgyrDIyHVvjRhzaYsIvqTOgNjPmZd8mdDIR/IJyictaEckB3KcHWsxuuNFseaAlrtgF96R+f+lYDLn2vh/1xa4A8Pxjy2KeaTaoLv12y2bcqwPFJGjWMWezWOeSGfkkm636ry2k7JlsmIk8Mad54Nya2zOFlzUVMKwbTHQSfg1g6T7oUQf9KllJTowwmiC3VO32zRouooQiCFRAaC1FzM4FRA52JAJOCfOuGdJodHenMs6io95wLuOFaDWFLbaTByo8VXF23qlb0MucfIdwgGsipSgBOCE8aoUpBVYdqGuqNyY4PkDbvKuTNr/M0bkqUWhb8cjsjOW1zYrjJZL/ONlyI2dKQ5sdPihpfKHGmFr3XU8SP40gGVzKYEY+9NMkNE0QO3LmmcD7jrrSqKpjKrmXSfK1L/WIo/73DZ9WKVZqFTNARlPWa0IWLX+gw736jzxS6PGRHxlYOCqU838N+cNW6LdT56KuZxw+dgIeZPLwieuF3y6RdDVh8pcOBSkZvP+nS2JiiuejyxXfJeYdH+jk/OElzZl+TvXZvSeJ1NtYDbhElfk85CPeAreh01UGg3E8wYEbVajG9H1LUQz/C5aULlw9cUWrMaoiFkqU0w3iLonwypzQacykreyvmUEzFZTaHT1KgoMeXFOj9xSbBbqLzYHXKbZvJ45HLT5gI/qLuMzVW5f0ThY1MGUVqgRgGmGXJVDXijJcbp1lnfnASzncnVaRZLIUE9pjWj0J+T9EmJsGNWXEkJSYzC7cdqFFZ8XutSKS85fKDL4svbY+54vkJGU/mnIcEdfVkyyxHpnMbZbMiBSyU+eNxnZ1ml0KazusmknBDISx6dF32SHqzlVL7WHXCxO2RfOsGbkUvXu3U+6Rj4vQazVx3+tS/CKGjszlvkMxpCCKQHtgHfWyjxiVccdmgmbycivtcR0lLUuJqNCaTPz59WeGBV4ifhUgrOpwMW0pJSWqOp1WRrs4ZeiohXYhKrIQ0LAY2LAUc7VH6QdZlIhGQdSdLTaOsw6OzSSCQUEhIQsOjG/POcgyy6JAOPWyYlt5RVNsQSvV3BTUu8nEKQU/CimGAtglJEaikgWPP58saIWh26zSTb9pgsz0R89IUqRnDdl7fcZFDqNVm9UeMLK2u0nXL4zOlOBtQlpIgAwWJG8BtbXO5rzbKWNthtGni6z+OLHq+t+KSkYG9e49a8Ql69vu8YCOLrLhsQIwQshj5jb6/yy5k0Ty1W+ImRiDMPJhAjPue7dJTeJE8vBRi1OjkvQI9DQnnddUdKsFxJoq4iA4WJRp+d8yH/ZVSnoAmEiCnlDY6k4alsFT2W7N6cxcwqKIFGzgz5+kKVhSWbXzwi+XCDwan7knx21uYzDQY7pgNGLtd4uiliUybD0GaDk2uCm2UaXZEA6EpEMVniLy8t8S+vqqh7koRjdRJrIe80hiyY1/VLWxxBkx1jConbpFPdYKKoMddGyjw/qHBff444pWBIWPRixmoBVixosBQadXH93v/HEsTEzJViBi743Hi+ztUPJnnhzBKfSmR4Z1fiut/xrM/uA4LXf+6f4ccA9+8AV/41Xlm4xnEr5D1jOmd6A7q1BFsT7f8RqxTXaEoEjnTQqgAAIABJREFUfO/tIu4OgRHC6hwMD2jsOeVT8SNufF0y8f5GijclWNXq/N7lOouKw875gLsva7zb4zKtpbhtg8H75zwuTJd470WF5JLC0sfzPFdf455XbWY/08rxM/P4aYNPPufhGvBPD2r0L0S0ZxJ8f8njDzakuaBE1GUDKUX7j33Gb47T3ZPg5f4UP1wN+GMrZvxciQ0zEdd2JKikNHIjLtkFl1DEfGZvju81KohXHDp3G3x9rUoiEfETz/lc+7Uu7HOLlCrXlfzDBoWe6YjRYYOu5YgzZkCLHXPrrMGZusuzG2K2Z5KsJEKqJ2ze72t8fXNI34Jk2YtYjCJCRXB71uRhX+XvqzWynSb3lDX6DrvMW2m6Z8u8O+xxpVnw0JrOTMnj0jYdpj22ljSOaZJnO+rc2JQkn1F5s1hj8KzPx6Y0VL0Jy1yjnpA4WZWVIYNqk+CU7dPvw/YLLv9iOdyrGjhRQGQKEpWY9jMu53tVAl2wYShFdcxGa85QaVHws5IFP+SZ5RqP7K/S3W1RNzT6JiWtyz4z0uWFexWs5ZC0FOzKJflHt8qvvyOY+5lmXrB9Dl2r8psLAe9uk2y+EOFsTGPndBadKp2lkOHJiH/NelQ9wR0dKbadcHizG4bXJB0TEf+6UbBrR47Hl0PeLTq0ei5/9RL0bsvw5N2Sf7q8xsNJk/eci3h6I/ycmeCby2WavZg7MSh2mmT2V/jOtog9NRW3SaF/ER7N+wxe9MkPmnRVBW/V6/ywU/LlQwoHm32sHou0L8idcNh/u8HHD8Z0LYLg+hUKqKZ0KppGPRA801DlVJvPh/rzzNmSnzzgYDoRk7kk2hmXVsUl3qpz4cEMkdLOrDdJYjKg95KHsCQznSbzDSo1KcnUYPu0T+OUg59UmNmX5DuVMldHSqRCQVeQom+vRasheH7Z49R8kceeFbQlNJ4blDxWcLijMc8P0x7OjM0//FClJaPgJRXMeoTiR0Sq4FpzimMVm3fafNrLgl89F1P8VIYv5XycqwFCCIQQbGpRuWk65Mycw8R6HadTo3y4yJ9cMTn783nkmI17qsbTGyXbhzO8fHKZ31NS/EtU43OHVWY+3sD3VZvo3QqyXeMn0klaDtj80caAW0YVPmor2A8mOdagcD4KWK24rNgejVKyO58kkVSQJbB0gbQEVREz7cPRqsvKokPN92moQSShyYtp92CuSSASGm2mxrqESjeSzGKEOe2iGpLpYZP9uJyreDys6ayN2KS35zBrkkybwaTi8dh0CWUlQI1i1FiQ8AU9WZPdPQkoRQweCVhV1qNumKLWFCP0mPS1gPaLdYpuTM0TNDsxhXqEAZxrkXytx6caxKxYgt85FLH57ix/3OKizgTcO5il8bjLukshejHCG9YZvcnkZeEwOlvHWPa4dU6lJ9Dx1Os9U74f8XSPQ65d4xE9wcaXHZx7MjzWEnD6dIneaoST1tm1LkWjAx2nPFqXA6zqdWgobjA5flOCE1SoTTjkCxbrshZKUlIMYp5cqlOed0iEPnoIrRWdQoNJz3qd5oRC4orP8GGbCI0lGbOghcxYIW+2BMR1QapmsGQqaEMa72nSCGNYrqqkhMQSkqyUZKwQT/N5YcXnh4sOA+WIpB5ST/o0utC6DE01SYOroAiBq0a4Iqakx4xmYlrqFoUtJusbVNYuBnzslRrz7UnqZ0OsIERrFKSigHBQZ+xBi9+dLVL2u7j/9CTNlYh8XfLqepfNrQnynUl6rmqkciYiH1O36ozXA5p0QTWIyY0G7Bxxmd+dY65JxeG6uLqFoKkc0bPq8q3BGnc8WWNyX5J3l20+M6/zdxmf+zcUcFUNKSMeX/Q5WoqQwHBacEtO0msKNCmJAS+C6XrEcwsVZLHOLx7XKTer7C/UcZWYHt/khl0plqVk8FzM5nmfiduz2FmPgzWHV6dLfPrdmIc2Zji71aBx1mP0dIXnG2Bjb5auDo2xBcGn33HILPt4poJvSdyEysptKV41y+w/V+S/HTE43BdzuNXlxuYU3XmDJTfk2krE4opPZi2gLQhodCJSkWBqW4LB7iRnywp7IhMtqbAifRwiykFIthjRtRDQseChaBLbEtiWglkOGRyr4yRVSkKj3bP5x582GfpukcHbGpif9Nk87nOuq5nzD/94iOE/Ac7+LG/MX+Ft3afVkeQC6LDSrE+1AGCPLNJ7bJXsvhxPrzo0V32eHAY/iPlF2yJ/qMZKh8aGEwpWweTCI600ZV2eKzl8Y9ZD0cqsX43oXUhxdKPGb/XrbHpujSO5gHtnMqSO21Q+kObJ9S73PF7C+0Qzr11aRU1I7nnDp5SCY7s00uWYdEJj3In5WIvF00mLHWr2R3IKTlyl75pH7VNtPLHq87Flj3NFh82H61gPFZg5WKasK6wmFcYzOkc7Nf5eh+DFkK4t8BfSYV27wobv1ki/p5Nn5TK7L/m81gU7fIULeXjf0YhzhQilyyBIqLQfrnL6thR9tsa60YDWjOALm0O0ww4fXVM5vUvFLOiE4vpo+G11eHSmRLo3yU1Lkt6TPvvzGj9oqNFZjvmZjMl86HJKC4iaNHZeDEm3mjxR91hNSR7ozdA24jM84nH1rhSH2kPeXKqy6OdZP7NIvg5tNbh/UtKc05nYm0Kt+pycKSP3JOk+VGO6W9KmK6zVQ/y8Sn9V8G4q5q6ipDjt0rpg0VoPUY2YqRuSjG0xWPTrdD29SiBgIq9Q1DTODHj8zJJKkFeYI2Tfq5LpBwxOjJZ435rF+YcbiKyQg/N1hs7VaL4hw2wo2XXEx94mKC45LKzUUbek8GPB7ad9vtfms+9UQLQtzeqpGlduSbMnlNi9Fi9Wfb6zUmf9WpWnn1GY+Vwzf+FX+DlXY/RECXN3kp1nPZ7qi8gsBLSuRNywqPHXe0LuqGgca4Iba5LzZsA+zeKtREBbOSa1FvFEJmBnS4K1N6o0bU+w8zUbT5M8eqfKT17TyM9KTtUDrqQCLhZC5pPX/SYtX6JE4CdjPjSQp1KGDz9fo9RksboouBR7nOz0uPmqzt5igN4mOZMbYtvSCF5a4VJCpXUpJO8HqBrYOY3Emo+XUFiyDFqv1Shvtph8b4pvFyt0liTru3WmliNunYxwdxn86UKZcKrGe6+pHGgPua8ti9mh06kr/OVcEW/G4Qv7DTL5JPUoZE0JGDV9DnYFeEpMY1HnTKfPnVcE/3VEMv3JHMeaJNG/fwrb5n2aXyvy1zvgg0MFEqbG36+u8bFnbO5XEpRtjz/eAw8O5dETGv9QXOOzz3ic+YDF1Ikav3VSZemjBU51xuRKERuerPD5zSFyVeNCS0DeDfjNswobG3VW8ioLjTqLDQqxE9N/2WXgsouiKERBjEaIn1OoNitcW29SaleZwadaDcipCpoEI4Z0BfILEc3TPlEt5LKIOZz3WU0LIh9umgm4LZXAHzKZnqjx9jqVW+s6m191UGLB7G1pLm9SmI89MlJBKAIpBMZKQM+bDh1LMWcbDC7Gm7ln9Qw5z0fKiFMtKk+1eFzRAtRAwdYjIhGS80AJFdIVk9PNKsv5mKxb4clnJeHPNnC2IOh9oUqyJvhCj0tuFX7qssIAgspOnekNBpOZkDdX6yyvBoT1GN+PiGTMjrzJPVmTnhdrjFsmey7ZrH40yzu9kneKPncUNBqO1dl42mMyY7EahqxEAY4b8cBCTCotuHJPgdPdkqIfU6hGdKz4GM0qa22CKT/gBwsuW2PJpg4DCVTnY+47WCNvx/xrT8zL2Tp6AGlHQwkUFEul2KPQllTZkJTkNMGlomRQWDSqGjKIsMoBVun6s+62K9QTLvNBgC5BFzH11ZCw7mPnJBOrATMLIVElRlUEiiYxLcmGLoOOBoWJGnSPh+w7XOVqe4rviDIL6YjdUzq7pjTSHnQJm9X3ZRnZrfNvE8NUpg8jY59IiRjIqOwaTKGNCfYdLBEpkgv3NFNrNyiqDiOViPed9+i/UKGo6RRKdRY3prh6QwFi6D5dpPVilTCGlfuSfJESv31NY2Wnxbl31nD2ZCnMCXbMCKZuTeOkfc47PllNYsmY6ZJg3Tw0qAJbFXgqRHmJnop4s2pzZK5Kd1nQb1q0dBg05hQulODOi4JdR4q4kQRLMPJAE05byNWwztcn1viVIwH39qV4Z8nhxQbBtg1ZrJzCwpzKzx2qIvyYFU9F8WOEAmnHRyZh6lMF/rKywuyEwyZf4+6hDBd8ya4wSZiKsJWApBESEONFsBaE6EFMEEk6T4XcNO5i2AGRFLhJFS+hkCj5qG5EOaNTEhqaE6IQoxETGYI1VUeOe4SxoNupYX8yzX9PlPns932KvUm+2xIwVtB5367vwI8B7jrAbbF/h6NL47wlfUKgsyIYTBYYtPK4x2fpGq1yenMKgc/wcILqo0s89ohJXYFPvR0QBvDaOsHgvMJHjkje+pU+dCNGT9v8xiWb6dBnx4LHaMbk470GhRj2fWuR0UGFjoUGWs9XiXdqHHnEpOnf5kncmeflxRJ5qZC/5lNMXPdhi+oRlYzGel2jQZOczBYYUM0fycm7OkfL0SLahxqZyev0Hylz3AjpO+Zg3Z7hQ6H2I/H3ZiWfWw3w3hB0rw/5m+6IvQYculDhFybTfPUTgp844/OO6dMRKoiU5MmMR7uQbJ0XbJY6JzyP2y/pNK2FvNEhiYouN21M8XvrPJrfdvn4lIkpI/RGQb1F4RXPQfSk2OtJzKMuX+sKuWL49NkWB3rq/O1rkuWtAjOjkJryKfbpLF/xON2rcUdvmo4DNl3LgtqaQsFzidsURu7MUMr3UTEvseoFTFYCjs/Y7Jj1+dCUBjLkqdt1Pm6rPIdDLhZ0KwqLScHNU4IXFY+7BlLMTDk8rQRckrBnQuX9FzWGRERUUBh7IM+1xhhH8fAin2UnJBGE9J1xKCQ0aknJ84s+/+OY5Ls/b9D7TJmdjokzlGBmq049B9E5l62HHc7nI9qyksc3gB5FfGTNoCQFr5erDDaa2EHM4MWIxzoj3rs1C8+s0hprLD9U4C015EvLa/zt07C3P8GFB1M0H6nyZb3KzxtJZi5UCO7McGmqxnIKSnHMTVWVo2rAL2bTnBA+u2KN5yo2H8mnOBu6cM3j7DqNTzomvxaV+atRnT9Z76IheZ+SZsurNr+5K0A4kHR0UFSUFoErY/BjVAT39BpERXjfc1XmOtIEJ31eHfR4fbBOytGYy/rsmlL4qQsG5/v3ULdOcChdZSkZknIl7z1vcvO8RLSo2LqKnPBZtcDyIzZGdZZvyzB1r8n5uk9yPOb9b1eRbszajiSXbjf47PQyjXM+H2jMobVrVEsmu9I6gVXjj2bXUOZc8o7A0WIEMVlHpSk2iHt0mppULjkhx1ZKPDwS81vnJDSohLok0CSi6vFHO0K29mfonIvYOgvj703yB5cX+OunAl7aplDYmEZD4wPHXQ7sM/nG6SW+XUzy57tg+XSV/35EwbsjRzxe49tdAVVFY9eNaaoxnLU9JtZskss+d19R2FZRGajGYEnGCxpnrIgR6eFKII4xo5g+O+buBYV2JLM3pJhMChoWfDpmPdLFCCetMpaUHMp4HMq5NCka21sStLfqCEXyZtlm4nKN26dC5gY0PpxNkXq9xl9viHnkiMKuQGIaMXPrTYQTkqiFmHZIGAkOtag82eCwosVcbeuiZ2GKfC0mlBBJQWvNZGCbhZVTWPRiZt2Aqh3SZqi0plU6zOu+rJ+fLrPhap1/eFslaFGYTKv8aZdNV6gzkohwY58dM5JHJjQ6pUomFVIb0Fjp0Sg1KCzpgrUIessBAz+o8FynxvM5m61zkt86I6k+nOF8n0rXixUsG/6i32NKDRBAIlKIswJlJeJ3D+gMaBG1TgOjGqL6ITMJSFci6LAYvytNtSFi2g1hGm4/79E1VWe+2eIb2RrXukMebM2ipZTrOnf/XlKshlCqC3wH+pYlQ6sR6RWX5IqHUQsRxHi6gmaHBCmF5d4E84Mq7rTL5lGHhAdhIPA6VU7ekcQvCNw4AkBct2PlalXQtCS575xNw3Sd0Y4U3zCLlFIxgaKzrPlYUcjOaZ0PntPYGLtM/kwTc11dXIkmsaMQL4IuS1AcifjY/jL/OBTRdyXkvrLK5TsbWRhM0Xe8SOtYhbfaDS5UXe64IunXI7QUIMFJqsyqBtVJh12Bxxu/kWXmxUVuWVN44hadgWySB56qEcYKqgpXb89zrV8wWg25aTxg24UaIoiJo+tlXyWMCXXBtT15rg6roPtU45ClusR2FfRI4abZiC0HV5joSMMxjxbpYjTCyH1NeIOSGVHnf06scseYh53R2b4lh2NImFP52MESniKZLinEKxGWLxAIRBzTHdco70ly7QNJnl+psSOjcWUOfna/Q6rkY2c1ys0m1RaDmhHhRSFRHKFVQzacdJCWypWUgbfk0eIIYkMgdEHdUomXQij+3zNJ0Yw43OtypMfj5qsK//skHPzNHH8yvUzbsmAwa7Glq0Ax//fw/wBwyh/+4R/+vyOj/4+sQycum8DnCvX91KprLBLiC3AFNBs5ut6coWGyzuGtaT7frFOrBTwgJZfckEah0BwJNp30cS3YP6hwpREePhSxNpSkltTJajEZI+bIGiwmdAbSCg80qShXI3KTVRRV52Q94GiPw87ZGPOODEtjZQxTclWLaC5FfH+r4GKr4IZrAXZSMilhX8HiUhTTnMgihPiRnCIpYLFCYEeke1MkzlWZt0D3YtYshRc19Ufi9yUEw9M+/pggmw651q8yuBryzbaAj7zls3ZTmkQ9oHHMYy0nIIi4wTDpdASrxLRPhWRcwUws+MJGn2s9gtFhif6OzU+lUjwxFPN4us5rDRGvGxEX7JCWjiS3aiqLpx0+P+iSiVRu6M+yeYtFU1Ll64bNZ9YMLi84lDpUOq7FPNob8WB7hsHnbRptlceSAa82evgVlaaZmK6xOvKYpG+tRjpUaC2YDHVaPKrB/oaQE80xP9mdJT5RQR8wie2InA95XeErqkNbq0l+ISAshTRuTFLOW5wSPvsHPC7q0D0bs+lCDVMaZD2LngWFvjXB0Dmb1U6V8cAn7QieKAQMTGjcPxnzrQ8bvKTUaZ0Q9J8N6ThTRziSr/SF/DAf0j3tUdxtMeAprL1boVoOmd9jkh3zMLoScNHhWr/FsAevxxEvJzxuO2CzviuBnVX5XqbOz7wckOrVWBuvcXqd5KZLMd8cjnhoVeOI6dFdk6iaRMwH9PQkOH/V5j5b43zg0dFi8OdehfurKpccn8GEQe8hn5XtOtoRh0178zQnDfY87/D1oQh1VeXNjiTNvSb3D5v0N2oMNhpsaNEZajUQcyH7nqsx25mhdsbn27sdzrX5tC+neL1bZ1VXKSciXl/n8fJ6sN0VkjWdJd3kSk4w2uZysRCir0hOJV1+sLnOSxvqHOrzaJ832HDZgUCl73LE7lNVZlpSVKag7XINOky29yZIpA2SeRVnzWDfeZfEnIdfsLi5QeN4ENNQ1WgvWAx0ptg1mGKwTyeVUIg8lXsaVGKp8mzSYywVUY8U5lRYiQVP9IWEOZV1LRY3P1clORugJTUa1if4nWaHzqRBR0uC+5+ukpgNKWyweCwb0HOozgda05wf0nnUqHP723XeaY24mlS5cW+WCzWFVkwKQmd9yqKrzWC8LebxhoAnWjyeag15K+OzQIyLip1QiDMqSqPGbLvK9zo8zho+nRddmmc9FuKYM0nBgRx8s83lzYKHmlK5tTfNcHeC5ApsOeCy6VzAQJPJhoEkR1skH0yYJA7a/I+hiKiq8tSwh1eRdE+oKJHE91WWQskPGwL+ZsBjXA1JVkzmzBRbvI8xrl2ASGK4OlZrgjt2J3AUiXB1clKlQ1dZn9EwFAXfU/GqkkGpsCuv8W3h4tUDVKnz+b4aO5QEe3al2d2WYFpROUfIgW6fH7a6vK3HFOcCGkZCNh5z6bviky1D5yGblzt0fph12J5I82pzyMlcwP2vegyecxnNCv54oE5hWUMUkgwPpLh7IMXGhgQXUyHPNHi0TutkXYXzBZW/66vz5MaQl7sjtp2N2HrCIb0k2HLcZdcFh0BVmTRMvpGuMNcZ8YGuPBOhiRboBK6GV1dILgiGL0TsPl7n5iM1Bq45KJUQJ1AoxRrLscJ+K+LrvT5nTOieU0gXQ7pGbdKewopusrqqUltRMFd8Bs/ZmK7KqqqjlSTpokbDis4tx2z2HCtT1xVGTZ2vNpQINcG9W/JsGbC4LDRGIslSOmCkJWDnJYP2sRqvWjshs4wIBWqsEM1EfOT1Mi/1Sl63Ap5fB6EdcvepOg2LLrlZhyd7VL7VXGEuHfPCJo8JBVrnJVMtBs9pLk902Lyy3mNgWrBzEQ7ea3BceGzuznLz8w6TLQmuzUZk1mI6rtVoWIq58YxD66LHTDbB5Co4yxqlmsaarRJWY1pnbdquebjJFLGWoClO0CYNBhcDNr+xzFRHiuhEAEJSjVWUWkj3ZIWaYWC0muxp0HkrIbmnP8WiELTOaTx0oIhjqLzjxXxjqMrLGx3eHHA51ekz3hxQWDPom3IQeY1Un8nCWMjPvlqjktIZ9SVzIqBk11EnK6SnbJpmA1pnItJFwcWczqPJOo911Njf6VINoHNKIy4JWI2pBzGvD7o8uqvG0W6P0RafiULA8S6PJ7c61HRQPJ1XNnjcdVYyEEtadmTZ1GYRpQ0qS0m0hvsBvnDLrnXu/5Vr/n8HcFl7P6G9ynwUkgoESU2nK9TYdLhIcXeS3y4YACybCu85VSZab9Jy0iVrGPhBgNQkhwckS5Zg32GBSKsUexJ4oaQ/G3Gq6lP04VOdGjM1wdarDnbd48U2hSPNAStWxIPjEbW7ckxOVMh7MVcaJS1zHuc6VSwEW+Ykay0qC2HEzUmT45FKGyZdZ0tUGg1i5TrISU1Bm1glPRUg+rLIE0UqFlgphWsRvGX96AncxzKSxqs+wYRKxgpwh6//NVxukGQmYoZMg4Npj5YaXMzHqLpCXRcoToyZ1Zir+vhrAT/oENzWk2abanD/msY/74hofr3Gx1sz9PSl6cgnSGZNOgoG95gKp0arfLvT54GWLOs3pVhEoVrVuTdnsF/10Ec9brsxT/Mq/G3K4562DMNHPHRf46+abUYzASVN4Y1Bl5PNITXH4OjQXQxfvUzLNZd1J2pYXRYbewyO+gpDrRY3LIUcDVx2rkoWjQg7irGkZGNHgl2eylQUck4E3L4s2NFokemweNOXrKoxrw4EXNUCdp1zSF4rU1yqMFO0uZSJ2aRrzLYojJZ8Rk2V0ZaY970Vc0PaZHKvxVdTNnNuhDlr8A/rbEpxTFEmWUx43KMblN2AH6yLGW0TfHhF43i/wvDpkFebItZvSNFyusZRU+P7XQmONPrceNjm1qE03zLr9EwLthz3eK0Lcl0G3oTD8uYkfZd9LjVIEnMed50TvHCjoHs65mhdZbLm0N9usa4m2ZdLsLzi8ZYZcEdR5fmaw76GJI9pDg+flWTnYi4pIW9ZMQudCT7ab7A9LYnHQ25/vU7/eETneETXSMDWkw7XOrIsXKzzjzfVqKsQ+EkO9KnXG8ZRqGo6Rc1gu30/Z/VrjDUprFmSQGoUNZ2SGXKuo46ngvR0HEzONcPpLo/OOZ0tlxw0GXMllWZ+os47XQGtiypd41X8jWm8lMCbUfnwG2VSyy7Ja3Vaz1dR0gab1xl0dqjkLZVsVZKYjukYD9k2GrJzxMXwVLr6DRRV4TVClvSYE/mQw00BFT3mgU05ut+wCQ2ThVnoGauR2JamqcVgXcFg6IcOCpJnUh475yKszSm+mKzx00/7bF+XZK5P54sNLoFUuH1PjrM1yd3LBl2zIf0TPkNjPusmobEjzdYuCyOv06oa9Hcm6e9PsGmdydYeg/42nWxOpytrckdHgnq7xuvNcLAA5xMxF/WYBR16Uxa3bUyzvtWgdTxk74s1BqciLiclV12ftnMeG8Y9dmR0ggsOX+oMWR8n2bAnxblIcjpfZzkBuTmVF1ocHhuwKcVg1iwutRk0Dprc0aWxLaNgppeRWZWeLp27OjRGi4J1QZI2xSQfqLStCrquxWwe89l7ymbP8SptJ23EcIr2nM7XEg5jls/NMs3QjiRr4xF98npPV1+DzliksSpVglhyNS15qdvjSCqkYULSvijY3yV5prXGQ105GrpM7m2yOJ6KeCbvMmXEvNgSsl3N0LUnwc4OHTuQrJY1esIktxU0TmohLzY6TCkRz3c6tKV19vVnMVt0vtxQp/mqSvdKzGrOZMnWmFsKebS/ylprzEODeRbmBA+f8Rkar7PhvM3wqRqDIzZaLaIoNVYwWF6EOVsyVw85lnJ5dL3NWGNI0tE52hnyRpePXFNIzRrUVwRL9ZCzBZ+zbT5FqaKtSFqXXIbGa/SP2XSNVWm7WMHRFMYTJoftOt/vs0l4Cpu3ZQmTCgXf5MYGia5Jjnoqc1mXohWz47JG52KVbbOrDMwG9C7G7D5e5Xyrxt+22NzdlqGYM3kp77EoI3ZOwzc2CV7LOGzzUzRuTXE4EBStkFcGPI7kXBxVoNcNxvOCd3oCfnJ/xLoNKYLhBN1vuCQjlT9rL/PakEtRSppmdFJ2wHJzgpFazGNNVZ7Z6HBgncupDp+LzQFlTZJe0DFqId2Xy3SPVek8V6bjfJnWS1Vm2lN4p3yOdQUc6ndZS8TUpIqxJuiZrhGEClF7gs0NktO161WVu95YYyWr822zznN9Dl1Fg8mMSVUoeEJlKhdxqsNj+2WT7ks1kkXBntM2k61J/iZV4dmBOqdzEWdTkiNZlWc6Y57q8DiYCTilhTzXZkOooDsWJ5tUZgs+ZzpcCjWF8eaAb++usZiKSNYsZpMKZV2ykIypqxLTMTnWprNlyGJGjTidDfjIaz7KhgTHairvOeZz4wmbkT0PwY8B7jrApe0D6M4qV3yPfAXSOYPBaR90cMGnAAAgAElEQVRrxaNpT4bvuhABoRS0LtXpbTXIjddJlHyclCQ0JGtdBpElaR6P6SvFzG/PEMXXJ01aEzE+McMpieEkaDi7RM2Ec7HGkmIx0hbws6cjKjfnmFh16JrymRjUyJRhoSDJhYKWSky1WRIj6IkU4mwD3eM1eo4Xyc84rPQmiFSJkBLl8irpUkQxivCLLgU7RnYajDiC48n/PIHTBfx0XkEfD2BeIS0DxC6L0QWbXIPOs2rAJ09GPHZDzC2GQbTskzNU0uMei1HMtoqgrgnO5SS37cyTnIy446UaucshO/tTfGlTQOdLVfZcDulfDtjixgwS8/JyjbdSMQ8NFpjUNfSSzi0zkp0jDqoDG3stvmBUeeRZl1dSIVGDwS5Vxxr1+P1eG6Wu4OpJ7D6LeUVjRYkZbfM51lkjKBXRlhXMZUnHSAW1L8HGbo0BRVB4o8zcVgPtikuUktR1sKRgk2FwYcmhfSGmOqBz7UqdlsM1BtsshrsNyub/Yu9Nm+y4zjvP31lyu3n3urf2BQVUobDvJAESlLhKlERqseW23Xa3R+6edsTMF5gX0/NqImY63A7b4e6Ittu2NJbbaq2UZFEUKVEEdxD7DhR2oAqFWm/V3fLmnvMCGtma/grKiHyVERmZGefk+Z3/8/yfx0C6Fg/KkrdGMs73a26O2qyMOxydyvFwrseY0nxspRzcVOYt4bF10WLXJZ+x8TzVKYdXVY+TIz4VT3En71LdYtDNZ3zxcsRrk/BFO8dBy+bNrsdO16V0tsPpcYv9wxarlzo8fLyAVIrryuBaLuDz1xPibTm+kQt47qrmr4/GPO9proiYnZNlzi+2GRy2OFFJ+dl0yvMNg7e9hKGtBb5fjfnKBzEXqyljKB6uhSyOanKLCX83nPKHVwXv7DfY97MuTgx/si1hwCnwmT02Kx049E7A0+d91h2buAWRD4kPS67DpYbH157w6G8ZzOZzXBlU1E3BpCNpRo8qyqvMZFv4JPfsizxZEfzesMGAKbjjZbSVSUMb3Cva3KlolvOSDIOGlXFxLKC4ZvAwlvxwoMtrO31u1BIeFmHfLUn9bg/DynH0vQ26Oc3xVLDWlLgb0He3x9CNkLETPfadDNh1LWD8YUK+mRH3BL1AMH6uhV9xGBs3KTia65ZBu2DRzNk8szlPZT3l0KmQPx0NeX0q5PFZg6FbPfShAsEFnz23Y/7vTRHvDMV85njE6ONF/rsOuZdlfO6nAVtncpgjLlsnHBbX4Pfe8dl8sYVY9dnwQm4S0133OXS8S2VNkht0CW1NtQnD8wmjsyH16wnjt2H8oWBkUVBaEQzEmumixa5Bmx2bbLZNPDpHKoqhCxGHftwhDuGHQxl/Me5z0o04W8r43qaIt92QxkLI6wMZj/cXGd5u4weKz9dNrqeKM3bAxVEfkQnsnkNzxmHPdpuXhw0qhqTTM4l7mxnKLbLVfeQenmtoPtXQbLnaZdOZDTafWmfoeht3NSSMBE0M1jMT80FE3+0ezmN5pGWQQ7N/e47kXMSX3+sydKGDCg3kiMkTfYojNYMDoxb7xmw21Rxu5zJ+MhJw1ok5OxbxL0bL3DZM6r5LDYvteQNnULGcl3xucwljQDN8PWHsXMiOpskImtRUZMLkcFXxUZqxHsYczufZvSvP3ILgRcslqsDflbuUFjUbnZQfTXr8cJdPQUte3l3h7qrgD3/aJsgUni/xEsWSVBzPZxzTMW+Vff5xxOONrQHvb/E5ORGylssodhxmCzYXBk2ahsm6Bbf6A64NhhybDjk25bNYTJkvCD7aFPKzmYAPqylnHMFpR3DOenT+oC/ghyMeC6WEcseiutdltE/RbdoMSwczMZjMZ8zkBWc7klsVnzTTXN7yEpsXbyN6CcZGwnLJ5E8GWuywHcZnHI6WTE50JWdKEceGIrpxSiUt8NhTDkOG5vGSwUeR5r7UuD3N2brFnYqmkjO45wSUO4qjH/ZwE8Xo/YSv1RI2JuHIRJHXHZ9TwyG6ZfBe3ufVmR6ur/CyHAs5RYKiaQmObwpYLiSMLdoEnUelN1poOpli3TCZWwn5+wM9zowGdJXi4lDCh5t9fro1QrQVh2d9tJexXi9y4ErInhMbXB21+eNqiyUnY6vOs+uoyydGTWb6Tcp9BuRNThk+jVzK3hsG5SDixnCBr5tNlvMZcZDnTL9No2IhBkwWLJMFZRBJgUwFrudwebPFgRmLI1WL24nBXZ1xZcRnzY2pbTicrZlc7TdYczRLrmbRNbhfNEj6NX+0yWSrKznk2Hwj89i6KNh3LuTQ3QAdZNwqV1na9Rn4NcA9Aji3c4xisM53bJ+NlmRnzWb0fBc0jPTnuJAXzP3iM2VkHL3aw89Lct0UI0i53ydROYNqxeCCF/HK1Zi5QyUyLQliyUQxZcDJuL6uOehp6qdWubfZ4L8OuawUFG074g/OpcR7ijwoCMbPtlna45C0YwwtqfWANEM7miFb40WQK5SZPL1Bw7Io3Oox8NCjMeYQW4q00SZJEkpLEa2ipLiSYg4a/Ehq7jrql+8/5gg+awrsqxnpqiAfR6RP2Hyw7PFUf46/sHv8/jvw4EmLmQa05wP8guAH20HUNOZqQm4xRh8sMPRxxBMXQv5ym+DVqs9vvBGx/UiV/7Al4nsq4MdOxI9FwGthgKlNnt9d4va64HeP+Tx2qk1lwSeIBUOn22T7C2y4kj+t9OgpycszJTa90ebPtkRUVmw62xxe3mVzsCh5sU+zt2bTV3CoBts5p+7ywRaPK/0JIw812y52ScdziEbAtTWPLUMuF9YD7BSkIxnsCF4NPPqqFjfWA3YHmsUtLn9WT3jyZ22mhYkctdmSU+yrmOwbdBgZsqnWLCquweTFLh+4IRMtyYO6wZPDOT72E+44EYdv2Azc6DIwZDG2xeV4J6PU5/DyjMkrwNacYvFiG/a57FqDnhczW5M8djnlZ5UEc1OBybWIhTShvr3AoaLm+T7FalmRP9nmk1vKfDvf477KCMcEr1zJOLtZ8vIdwTeHE77QMLilYvKZ5LgXcrBQZu+kxaBl8MNuly94Jq+LHrKT0l+3uboRcn3UZPp8xLY9eX6Y+nw4CH1xjoOHHebmUr7yRo9KN+O2lYfZhLgJSROCFvyk3+P17T7TSw4XZix2jBl8aUDzUk2xpyB5rk8xZAnSTLLfqfPS+D025wSrHcWRkuZgSTxqoxOJ/2GuysxgzYYrwwGz9QjbV6RJjjP9BvfrPn1tzY65hPqaz4ORPB9u+Hx9Z5cPNocQKcoPLeIuNPMOrUDTWNO0mopbacpxN+TNuk/Whccu91gfytPfr9hZhKcrmqMVSVHCoR90uFy3eL3S40FeMltPef4i9N0N2TIX8c1JyQUr5IFrIOOMJ1sSudnlO8qjGwuefSdkZNrCW0x45bUOD1z4P3aEfGsw5EQ+5bop+OkovFeNmbqbcPCkx97LPttuhZRXIegKjPUMq5ViNRJyKxHFhYD+WwETl3ymTvaYPOUzeiOi737M1nc8kkjyn7ckvFoN6PoKFdhcK5ncLzmkroUsatI+k+cmCrSLBp0NkwMtE8PSHKhK2kJzvyUpbsnxiR02e8uSjZ4kWNccviM4cCXEv5Lj4PoyI0sZU7dTPnmyzdCNDlEiaGCwkRo0NxStNU24JsjWMmhldNGUmgH5RkrtYJ5KWRJcjPjChx7XRgqkN2Lqaz5DNwIiZZOYDlliEoSKXKaZdi0ODFg0qxmfcF2uxxYvz2sOvdtAeuCVXIaVhbQNmg3FK2902XIvRnU0pQWfkdk245ebZH6GP+DwWJ+i5RrsHjPxLyf8q593KF/yGDhQ5r4DPyp1uV2PsAPNYD7P4UN57jfhK693aVRt2rPQbKe8Pujz36a7XC/FbFiCEIM4NfGkwYo2oS9H/4iLP2RQKEr6TYGXgp9qWoZJKDNqLZN1bXG+ZrNQsFi1TNa1AqHomJIlVzBXyrhfAR1pktTmdJ9JdYvNMwMGd9ZM9lkOAEkmITIYcGB3UfJeB2ZrPt38NEdO3iPbyAhagm8Pe3RL8MzeEpfXDfbYFtuKcKwp6WUCmTg887jFsi8Y9F2GbMnBCsz7goem5GhF8y+HDF7sU9z1Be/3+Xz2rGZ4I+b9MZvvjXb5jZESJSvH0QGH90n4uOajUsh1XU5OmRQHDLSjaeY0D3OaFW2yVAy5NhgysW7grksaScYdI+GDvoDv7u5R9hQDQ0UqMw53DYObwqKtBWfHQvINxcGbIYNzHn2LAaeGHf68r0U1MNi+q8TWaZMbLUk9dBCpwhWKvQVFyTB43fBQCPrnHb490uVeNabmFJnaY/FKv8FnaooDJcXzfYpxR9HVmrmcwZ4tJr89bJCk0C8MPlVXFC2DS7FmCYMr/Qa+8Ss1RFDAUxXFvx7RPPAErpdjd1lwupfw5kDA5y4pVkYLnGpFfG8sZHjLb8CvAe4RwOW7xyhHG7yvAuII9hUcNh/vkpYMRh5mONsdftJ+1Mh+1Va8crVLa8om0I+St08OS/avCfoHbP7e9viDD6E7YdOtmmQITASNNGYwchj7aIUbhZDbZYNTzqPQbGLEfGE2xRjKYW0xSC618LZZrHV8Xno7ZuJeyq2xFGVotuVt5kOoqhybT66zoizaDUW+FVKfbzM/YpCojMwLKK2nrNUVOs6IbcUf95u/kjO3q6B4spWg7iqyRkbOjxGHLV5b9/hUyeYfVMj4kmQqJ7mVxlhFg5ZIedF12dGWrKUpN3KCI7HB6LWE/3MmZj5NuDIgUV147lTMjqeq6JpNrWJTqeSYqOfYPZHj/rzg37zZoWcqHgibxpKguyZwWhH5RsTIEwV+FsR8ruIyvJCwsO5zRxiUnspzdMBAXY44/E5ItSHRkcA2TQ72WfT3+1xDMSdS3p5+tPA9ftqH+z3O7TfZ/TDllIJbImHUkXSChE9MlRmYjbi1WeE1Eyo7Cuyu5fjjcsjejzocvRAz1FC4gYVQLsPzgj0nejz2fpv7vYDOHpu5lYih8Rz1yGCmaPDdtMOOhwb5DZP69S59QybTMw67bMG2j3sMHg+YHNB8M/N5ITP59zmPj8OQl3MFasc7vDNosGdnjpH32zyctpmXDhNJHjPWjFiSD+jw7MmE3oEcH+iAw47F+KWQpa0mT51IOH/IZO/FiH8cjVlbiNmeuOzY4/JgSfFs3eSvjR7P/TzkudDiBwMJn+wqZsuSmbEcx3o9/nDJ4D/th3xD8viTBdbmUr7yWodm2eLBquL9nMcPdvd4f3PAO1MBb08HLBUT6g2X9hMW/3LcwhaSlmeQ+gaDUQ4r1bha8ERFMuoILrfa1AKbLdpBhgYlJTlUhSEb9hclz1cVn61rnqwoTAlrvmJVKlzP4PSQQ9CnGLUUc0huDQRMzTuIwOBUEvCtvT2mF3O8N6K42x+wUEmYWLTwehkXyjFvbwn4/u4e728OWbczAql5dXfE/puCHTd8VsbKKOmiAwsjMJn50KPYyvjzAY9q0+RMf46H5QASxRO3Ey5uc/ibWoehNZeLgwaz/T3+57cS6kfzvOYJzldDvAieezNgqJXxnU2KvxrsMbRkMVd1GJx0eXqby8ERm48twWuViHP5hNmi4OvDMd8aCflZzefNgYCf9Iccq4R8VIg56SactzIuGXBDSpZjQTcVBD3JtyYzvjrQw21qlg2HkyMWuRHNy2MWvz2k+WRVs69iUi+a3PMUT98QPPdRi7ELTfLzIX4tz3S/ZO+AZsxRLG8Itl3JeP5cwJGTbcrLAd1U80AOM7q2QG4tRHopK5bF+oYieCBgLSNrZayaGdcGYmbrEVcHIi4OR9yuJdTWHQaXPFSm8HzBi+92ODfm8B/r65wcTdAbJgPLGSNzXTZdadN/N6C2luKGEuHkcFOHAW2xFhh8+WLE5jMbrOZt+q91GL7TITRN+nuK537eIDI0855JMg9eW7HhaYKuoH+1R3nOJ5p0qZUz5PGAl497nB21UXd8BuYiNj1e4kIqkLHJnv15do1p7jYEv/+GR2xrHs5lvD0R8N8P9OiaKfl2jo/7Le6ULe6VNAtFhVXRvDJu8fKAQVlJpmzNjCvZW1A8W9VEGcz3oG0Y3C8p1h31y/+1QJBJxYatWXQ1C3mDhbzJgmtyu6KJ+xTP9xt8qq65uCZ40sqz9f01Js5u0K5ZhDlNEmoGbNhZkBzrQsNpcLF/idNjAeeHI2YHIj4zWeaOUBxSeYJIMehk9NkZ73UlL20xKGvJ5G3JrmsejapLQSsO9mUcrkj6DcFyVzOhTba5mu/2ejRt2LJg85dTXWYKNmOmwbZLGWIgx2N1TUOZxDWTPTMWX+g3mMlLjpQ1n6w+2vBtcxUnuoqlXMrFkR4fTQa8M+VzaSiibQpqPYeRp1x2DBrkUsWna5odBUEgNDdSyaVhn8qKwcS64NSwzV8ONhlPDJ58qohvKBpNk8fMApbQuJlBMTNxU4OdpYzLoeCjssdyIeZ+NWFAFTj6mE03lPg9gyQwqIUOTmRga8GhsuTpPokEHmyYHAgcah2NVCb9NnyiTzFd0TxeUhwsKQ4UFc9UFS/VNJ+tKyYdyZU1yQFRYHw1xtCCkYLmO0HAjXLGJe3zwURIyc8zOP1F+DXA/SKE2j2GE7e4JAO8BI44NrWLHpnh0nc5xP6Ey7EgoRU/CqOOdELKqSKXPXICvTMp+Mw9yWDV5huOz4vnBY6SNKYfFdgNYokTm9SXI/rOrvDeEc2pyGLBeqSGJSrh2XsxNdPG3GGwcLONUzNpehmDqyk9R9CuGiSmYEppOvkSw3MRpeWA1hyApJ0pLpe7WMtd4pkKxdstbC+jUVMoS7CWwBt9v+pYfbKsOHQvIllSsJFhJylql+Z1lfD0YsLtQZMzWcz/dF3wzU0hnym7BHd9Sp2MjW5CYSkm2+UycSHi308GGB3Fzl0l9o9a/FWxx4snBOMPEpa3FJDKoKQMclITzgn+9VstLvbB/z7Z4a26z9tbAt6e9rlag0+fi0nGbXZMOOQ1bP1Ri7/anvH0njKOIdn2U58jVwJa0sReiBi7EbD9XJe5W3WKMwFP1CX9JYMPIjgzGONHMZ6dUdxfoHLG4+qkzXwephDEWrDlVsJZL2DGtWgMajZ9nJAfy7N30OI/1EPuJAH51Ygt1zymL7Xou+8xZ2S8PgBf2xXyW77Fm4R8qppjx/dauAeLHE9jbumQo3csvEhTn+3S76UMvdclEi7tB4paEvLhjOTpCzHv79BskgaHZ+GtfIxXybGzIslOtQiPFIlSiz5pIDJFAYPZms/On3pM7SzzXt7nxRXFvB8x6JhsOZXQfMzi2sMefSM2czF8bluZzvWE33ujBUUDc9Dka1aPfTcyLu1XbHqQEk7l2F12+Krq8PvHUp44XMEYt2gtZfzujzo8HHJ5f93n73d5PCgn6NCipQ1CDKJM09QWEwccPlHVXF5V7BcFhpVFRRoIIRGZIpeaZD2H7998hmcr89T8hPHzG5i9FM+1MVONqcCPFFmkCX1NWWpmXMFzNcWQqZjof6TsPd+nOFzWhJHkXBYzVw9xPMn39vaYXsrx6oxGCIOWNlnLh5ya8PlwMmC+HBOjUaFFQ1uc67e4VzJZN+HEWMRLFwTjCz3sXkL/rS5Ds1367/Z4c0hzqhDScGzCgqKN5uaAT3Hd4NsjPkMbBisHHf7XcYsfhT57b8CWvEE2YvJeV3KzHrIq4a1SwtlCxHDbxX0qxxcmLGqGZLGtGRYmR/sMtGvyDilxoEhSkzgxWc9bLOYsglSRZApPaZqGZMWFuVLKbD3l1GjMz0cijvUHJIHA8HO8N2mwedjg94Y0T5YV676k1zHJhSYl32brtYQX3m8x+MBnqeiw0pIUViJGr7WRiaYhFDtOhHzqow4DqxEbymBFmrTmBN0Ng28+9RK7Tl2k00qZCzMWw4h7uYTZesSHkwH/uNPn7Wmfu5WE+SIs5QVrtuD8cMzNesTWOYex+13GliIujef4i3KT/rbmYl1xaiJgtpxirloYTYNYCHQ7Yehml/GrTexmjJlqDp9sUVgOuFXMc3MpgA0D1U0Znu8yeL/Lw0GXpXsp3x/3eG9LwEIpoWNnJCjSjkGuEzF4pUPlQcr03Yhjwxb/eaDFG5MpL5zJqEewaY/LVL9iLRDoJc2XP+phhBnvZRlf29llJZ9Sbub4cNBibVgz7mo25wTb85KnK4ovDmg6kWCjaTIjXEqpTSG2cSKLfCaZKQp2l2AjgnFbcLSieKWu+Fy/ZmtO0mcKJGAKQb8pGLElW3OCL/RrPldXGEgetDSHzTzD17sMX23jB5JNl5ogM1r9NmGsGbQzduYNWPw0c/ENYiSeUjxezeEOmxR7Ljuueegoo+XYbCmmDDsZk44kuC/5/LENnOWI+l2PlcE8Spnc72YMxznGlYNKNKOFhAvtjPPFHhtGQseBZ3aW2P5ej8kLHmkk8fpdtpYEBVPQ7il6nsFo7GKHDkZgoEOD0RxsKwhOdySLWjK0YdBWJtdLNuagw2f32AgE6xs2MyqPGZvYEvaVBKOW4lgv4+qIj+gqXt3kMdw2OPBkkTuBZCrOM2ZY/wMXpJnAzCQHyoIfdxM6OmJzL8/hIw43WrA3KzKsLcrSwO6lJFLjZCZGaJL4ikpoceh+zK6frzI822Z1xCU1HKxY044EKlYYqcJMJUmkiUNNGBrYvsGM4VJd8tn1s2X0aoS9z+HsBtyyAjatGazLHLcniuyvfxZ+DXD/BHB22uKOCIgSydO+Jl2NcDoF7OUENaHxhgxO/0KFE2Q8e8un5KUIU/LxjOTzlyTSMXinnpFfSNm/mPLgYOkR4QFksO3dVd4aCHCrBv9gWr/cXaUq4eBSwkzbhIM2lx90mIwEK0lCuZsR2IKuI8hciYtEFGuMXWjSRROtPrrHzXrMT2YCjt6JaO+vUzuzRmRJ/JxAFBSriebtyq8aGF6pSmYuBSTLkswTmGmKtVny87rkwCmP+v4C3026/PYpk4+OZDx7X3E2irg2LAhswYMY9vc7fLTQIYgtdj5ZwMwrJjOLlpPwWi7iS8dTZu4GjK9lDPiKwa7mk++uc3ZA8B9HPcaWc8y5BoEw8KTB1cGYQkdw5HRA+EQB8+MOF1VEPOhQLpm89N0ufb7grG1yxQspP9B0upqGbxI5JfZfnKdXL1CpKvYXNR/0NCf7Mrr9iqcck3tzPZx9BfyqYOd8SpaD5HKPG3st1EbCmGuz+10f3YRoosCRmsHHBcWbOuHViYhzbsJ/25zw81JEIxE8X8sxOZ9wsghPxQb9p37Rpmd7jm+kHYwkpWcIglBTXE5ZLBfgSowIBW43InnSZuFil8/urNBnaobebfPaiGRgp8vovZCHUYS31WUsdZHikeyepJDPxVzc6HHkkmDbkQpjx3u8NZjw7JKiMA/GpM3f5nv8b60c9WkXYzbis+/1uFJRjH/cpnK0xDcNn+O1hKNlm6WlgM2b8kyswHk3Q9+M2FuwuC7hS9/vsDCc488LLc4OR/Rv2Fwu21zuN1jMK5byimZB8aUpiylXcG/N5IidfzS+s4z8Wkh1vodIIbYkidDcXZ7g03dOse2DFWSQUb/aYfRmhywWUHCpGTZ1adInDZzUwIpNnFjhGoIwFnR7GumbjAqLXRU424TbTshSKWJmIcc/btP85qDJgZIkzQTzsUFbKKodk/M1m1sVk3tlxXpOYkjB7oLEyjT3zISLAwnPX5IoIYh6giCSLDsmfzPQor5hc+CIy0s1xZwnuCfg5mBAtSeIx12+sMmkICQPo4yTdsTvHwvJHc5TzUtOdCW3+wLKPphmnseezFFQkodNg82BzeHbMcO3I4Kiy3BRsLvPIK4ZzEyaPLHZ5OlBg+fqBk8PWuwdsdg2bDE5YjI8bDE4aOP22fTyFqumxbw0kYMW26csfmfIYNIRPOxIdM9hu3KpS83wQsiOd9aozXk8LOVYXlX8JOfxtd0eoa8ZmFfUVnpsvdlDoHhgW7xFxAkj4poZcbU/5tJQzMcTHpdqd3ljW4/jkwEXhiJu9aUsFDN6SpHFJk1lcanPZr5gMVcwmCsaNCyDpWLE/WrM9nsWqzWDPxtqU+pp7N0uDcfkljBo2QknN/ncLiXYDUV+SdHyNJGfYfoJIzfbBDnFbd/k29U2P97hc2UoYnDVhpZBS2sWVmP++rEuLSujqQ3ulzIuD4a8O+WzUEqprzpYGxlKS94tK7460mZqyebdCcmp4ZjPvx3TpwTt+wkvHQ84cKFDKOAvh2N+MtRjpGFyvuqwNGHwyojBbw1qduYlm2zFgJYYqWKprdkj8wwa5v+veoAgTRUqNCgpOFgVjNoClUp6vsaIDApCMmFLnq5KnqpKDpUU21zJuK1o9iQ9z2QGl1FtUViP2P7OKncHCvRuQdiFwVWP2sMezSEHT5rULZguhZT6OgwNaPoHTXYMG9xZN3j6QcqWjxsMzLbp5TW9ssNgPuX8Q/iDtztslCxW5hXFjZDRe22aNYdcKYdGYPYSrFaMzisGbHjNiwitmIMqz3hVs/2DHss9m5F7nUeKYl+BUmwxLG1qUuN0U2SSITIBQpFFBkMObCvAhTbcyylGawa/OWjyQk1xvQXjYZ7pTOO0YgJbYyQGdmwwXczwEjiVZMzXArYvmtQfz2NYksEgT1kbj/5PjZDSYkBhNaS4ElBYDWi6FmVbMO0q3gsUn99ls9iD7YlL/0bC0GybzSfXmTy9zsi1NnYnJtESLRQ7328wNNthrj+PddNnaL7L2pYckWlQFgYVYdIfKrbdjigWHMqmRVloHKnJrYfs+tkyjaJN/6UOjcfLlFzBsQ3NzYpBWJb8u7EcWL/OgfsVgDPxWCIgUpKj9xMyL+Mnu0P6GoKhtRjziMsbaxFRBiu24ou3PJwMAkOwMGXy9GlQpuDGtMFHUcjvXErI9yJadYvYUtTveJRutvizwwmfbGmulC3W40fPkcqUqVuWnr4AACAASURBVI2IJ5cVrcfznOj2eGw+5oGZ0i4KVisCI84QVU0kFY6ZZ+p4gxVlIRoZGRnf3N9DxJqxTkxcVmgvYm3Gpv+6T1JV3DQ0Jwr/ZGDQAn63TzFyxsd7oCAT6CwlP5hxadKiO9viyHiBb5s+0zckhS0KuRgjNtscnk2oLaesbnOZvhnxeiXhwOEysS/45Os9dp72GHq8zA8sDxqKoWUDEWVUFnyGb7b5eFzxp0Nddnt5ak/mkK7BnJKsaE1Pas6PhTx/OWX0WkRuKeBvtme8MF3iwGttMsvmxrrgv25tc2I85MpQRL2tyIcWX3vm8zx15hQTt1qEpoUzZLK3IjjrKZ4ezTF1LeCMjhjblmdzzqRzuY2Rk3z9CcmLqcXtHBy4nNGOHUZm22z0O6QFh51lRV/N5HhkMq+h3LKZKxpUNuf4clFz7a5HPGhzaD6l2TIZuNTBOVTgviW4FsZcHI54ezrgp6MxJ4o+JzaFnB4LMVsph0Zsvql6vLBuoBcT3jVi1qTDoa0Wo2+3uD9p0Ci6DAnnn41cQd1U/IPT4l/8LCQsulQutjl2UPLcrCRekpQLgu9sTfnM8YQBHzafifhg0OFPJtoMrCZsjgz0lM2FxOd3Gwb3TcGmUDN9xsffleObeHzlOz4z8wkrAzm+pttsWLAhcxwfNTFcyYwrebwkebGm+Xy/hkzQadrss3Pk1kOGr7aYPt5g5HITdyVi5FKL8SuPFMydVx9QSVrMFRx6N6DtabIgpbrqM3m5ydCNNvXbHpUHPXLNCN81iEwDJzHpFxYDyqQoNVGiKBuwOQ/vrktUIDk/bPBvxiw22ZIqxi8XvYptEJc1eUNiCKgaghf6NL87pNlfkDxW0pxoCB7kI+7nUzZdN9HLkK7Du5Ue96op9haXHX0aOzL5RJ9kxYebScZ2HD61y+ZCQ7DHcBi1Bd/IOnz+hKC2mmHvc9lRFJzqasw+ky/tdFjwYGzN4rmrATs/WKewEmIuRoxcaRFqB1U1CTKIAoUfaFRoUIgtolATh4osedRuSCcaK5X0a8mO/KOcnOfrmj1FTRhL0oeCx88l7FmBsbWYwlrIxLkmo5dbrJQdltcVDxsxX93X5X4lxghs3pkOaNowPO/QDTX3Oil/t7nLuaGIpiFZysNKTrBuS7LcTqz1RQIU93MWc67Dkmtj1C2MIRNzyKBe02zPK6Zykk2OZNSWVLTkfmiwXAy50R9zphijY8nYviK7Bgw+WTGIs4xLkcGaofGslNMTAdcGQmQmcDyDtK3Z6Gnmexl/u7tD007JQpfL/SlnJ3rIFLqZ4GtPeFS6Bgt9Ds1hi3uOwUPbYsU0aORjTk34kCpWQsHXt3eYWnJYf8xhImdxUkVcraR8+v2EKop5U/NmNeW/jPg0ybA8l9NbTT49bvLlQU2QwErTZDLJU0ocKqlNHYsRNMXVkNrdLrV7HrlmhOEniDQjtiSZEIjEQPgaN7IZwGFQmhSFQSEzyScWRmihfBMrsHFjh2JsMywt6upRazAVpez62RLrJYvoYgIIIqloh5p8K2TkXpvWoE1Tu1xsbCdvLpBDkBeKha7gaGCx8+crzA/mia8njD/oEJiSjbzLp99ukgrB2rxC9qCTalQnYfxem9q8x+SZDUYvNRmZ7bCRN6lNKM5sZHQ8xdEdDuOXQyzfoLcg8UPJ6GIHpUBHGSOXW0wdbzB+ocn45RZjl5uMn29SXA5ZHCxQz0l2leFwWXGoKFn3Bd2uyQHlMvLwEfSMXnrkPO9WTAJboxLFrgrc7MDdRFMZsXhq0GBp3WJ7ohmcbTN9vMHYxRaFJZ/8w4Dcckjlnk/1QY+5sQIjxYw9JcFqAKMdh6PvrjNxbgP8jDVl0QgNkrUMqxszPttidLaFb2rmMxs5m9DNNIV2SP+yx8pUnlQJ+m932fH2CtX7PYautIktSadqYvYSdr+5xHrFonUDip2IIKeobjf4qBUhgP9l3KQbm5jOrwHuVwDOkj4zaUK1qBm94CN9+Pr+FK+e8uzbMcGzRRaylPkgY7qgmOyGOMBCyUT1KSbvmhS6Id0nXL4Rd3j6So5qK2biRgtBxujVFu8NSlYnYaYjqU7aHN94VJAxEyl9QcgrtyQrT5W4bSVMXevxoCL4yVbJw5JgzJM4NZMNJJvWTep3uzRXJUSCm7WYd6cCWuRQMqbeiqGsyS2GFDsZypC8WzGZ/WcGhlFb8IIj6L8Q0103eHdzgB1ljDoZyzscjnU6vHRfcWPK4Hon5lOh5F0V8pmBAm/dbLPoCnbM5Omd93i412LTQ8lLP+yQuRbWvRAnllg7LL5V6LH3hkkjgptS8PO+hG9M+OzxCuz+hEsYS/a7mhfqihlX0osltzPB+aGI3zif8P3t4A65bOrB0H3Bw9vw1/u75ALJjbzDwwKcHe+x6iY0K7vYNXsTWgljCx26jo01aLKvAnUN48fanJjQWPUcey2LN+5vUCgo/sgpsD7vk+u3Gb2S0rkrED4ML3kszBTJsKhbGYf7BMtCURnS/Na4xZQjGHuvy2tOyIExl+HrEf5thQgElVWf8cMlfpoJriuLVdMgyxQy1gTSYMMSnBuJ+L27ktd3Ko682qawkfH3mzNmduVRnYzhk21Wn8wjuwZHjrcYuNlh4GaXwesdMktzZSimdjlm5/2I67WMtSmTXbcU7TXFQBhw7XGL5YsBe+8o7iiHr440GUpNvr015UtveUwcKjGS04xc9mlsddhxKaJ6MaB0JM9fGx4vnId02OUtz+ej8ZCtlRKT20y+MKB5sU8x7UpymSIJNb2eph7bbBIGk6fWmf5wDRFkLJsWja6m81DS7Bn4AQTS4B9nPkHfrfuYCwlkAoQgSBTtnqIbKHpa4ieKrJdSeuAzeWmD4rJPJsUjFU+LX6rbfqgYcTNyGk5Fgj8aMylrQbtlsUW6GKGJmSqKGjblJIdKkmeqisfKkjQVrLY11cBhsyuo2nC8KVkqhZwb7XF8IuR2LebcSMSwl+Op/Q7X1hXT5Mkj2VcVmFJxZJPJ1RYclkXSTDFRTPhBx8dLJC9ejDF9hZ7Kcagq2F3WXFoXvHhX8dRbq8gwZSGXo/UAuusKuikjD7qUliJqqcmW1YwtKwkjizH1+wFjtwO2XPfZeq3Hjks99p7z2H/WY+tsSKmrSXWOUGjEIrxw8lG+mopArSU4qxHuSkggFAuZRWMu5t1hn+/s9ai1De7mXC4NGLQNgwflgHu1iI6Cbx7skfcVazLH6WGL+YLBfMHgYd5mr/8CH1UuEZUEkyWDF/o0vzWkOVxSjNmSMUsxaChqSjFsKEZNxSZH8WRZsSUnuOJp5nMxtR7MzJQY79fcb5hMSZttJRhzMma7sKZN1k2TrpFysx7x7rTP9VpEw015dU+PQk+xXnU5vNdmLtbcUpK5voDZwZAtSw6Xpy3+YIfDJ6qPIPdgUTLlaGYjzbwW3KuFXB0MmFnMcfuAxW+OmBwoaBZ8yRkn4ko544JK+O6Ix5KRUug4XKxa1GYsvjJqkGWCxabBHpFn51JK/x2P+t0uAze7jF5uMXlqnYFbXXQ7gWZK8YHPwO0uY1eb1O95+HlNr6gfpRv8MnKTIePsl2WiQPzq9X9+ZBnTHzYwvYTVJc3pWsiZsZDJhkZmgk6iMToJ4/dadCsmP/UPc7h8n7rUVDEZwWTXz1fwLU1nNiNEE3ow+rBD/aGP9lPmezZ6Nf3Fowh6QhN4Ai9vsC4NNgKNWHy0EWseLFK04E4meL6s2P96l3WZQzRSYvkI4oYXO1QaAX4iWdUmG56isy5pR4oumr6HPYrNiIXRIkUtudnNcHybrSrPYKbYfGqDzafXedjvsvFAUNiImJhtYnkJjT4Hx5TsLMPNXsZvj5pcW5e8PA+731jCbkWsWjarvkH7gaTT0nhNhdeR9DV6lFoRy2MFumTIpsEL725gdFPuKofgtiBbzaADYaLoeYpWT9ORitaqRDWyX36jjjAoNwOqaz3qcx6DNzrMV10aDyViPWXoYZfaUo/+W10CQ7F+T6B8QYagtubTPFykZGUcrig6EZS8Klnxefg1wP0TwBk6YlMUUNSS3i2fpoTz44K5QsanT0EwnmNoXPNkVbIrL1ksGow+iDlTT9mWaXIPLerLPcSzRb7qddm2LCmv2sSdjPqqj7AE/2VTyP4+k2IgGBvP8eFGTPcX65clfP7VxYz5pyoUHQhm2zQGHlmpyyHkUxgwNaupxZ47MVEiCBblL9W3gmfw4ZiFylKeve3Tm84zdM3DywuSMOOPJ20S+U/Ol0NFxW4/o3JH4DcE39rnYSYZB1sZvcdc/iLp8m/fDkmO5nldePzRVYN/2B7zxTnFNw6YBCWT/evwdhqwr2zx+LsR85U8x7o9PqonPHc6wN1V5kpfwE8qHifGH9X2eVjM2Bq47P6Ew42WYEeaJ586WJHGkIKjfYIVH04bCacGY1Zygme3F9n2eodlneP/2dwhkjBbcFkuaHxl0DAUTTflXmWZ/o0mQxuazIPRhQ6L40XcvCZtheiLXW5vt1HCYlybfBz7TMcC51yPY4MZR+YVt1PNf9rZZcuyzcB6SLEbsjSdJ4s01R48XoCtXsLA6YAnfuphNBO+vynlxXoOPZuQLmt6UlFd6mHWNVMzFq7OuNcTbGjNak6z7CrWHM1C1ecr76cET+V4cD/g1oCk7Tpsn7IpnQpYIcTYW+DgyYjSckQnUIShQDYTaje7NA47vEPAS1fgx9szhm0Nq4r/a1+HL59MaD7r8rduwCc/cvjxeI+1cspnD1XouAbXvB5HbmSUJ22u3e4wsC3Ppg994oZEDxicrcNJCSPXFX9/sMcB5TKz18H3Fb7/KHzZHzvUcRiQJnVlMLgUseutZexWzJ1iHv9aCqsZwuMRbAlBnCq8wOCNA0/z2JULZCT8fDrAiQSFQIIQJJkk9iRJG6KWoOspvI7AiFIG73YYv9pi9HKL/ttdyos+GwMOIZqZUspM4dH4Trs5tpn/X86nQGYKNzUpJBZ2ZGMEFio06E9sRrSFLRVRpNlSTFlPMmZ7BmuGgUwlHS3JB4qp/Q6+kGxLXUwpiRKFmSg2F+FiO2VvlsdSigyBa0AzTThm9HjuUo6RxS6J0MQjLlc24As3U6ZPNHh1WvNuFLHkx2wYKakUGIGm62vcTkRhIyS3GuKsRliNGNHJSHoQhAIvUXRSTSvTtDJF1skorIZMXNpgYC5k24UOoZTMmzn8GxnBhsRrClZ6ggsq4rVRjx/u6tE1M0qtHG9OmrTykhlX0IoEHWmy6kY0ChFjKw4/HTdZKj7aBFY07CtInqlqnqlFPDPU4NmqZJsrSWJJs6vJhxaDaZ5yYlNJLaqZRTmzKKcWpcTCjk0GHHiiKlmJNMPDFjvqBvcaJofsHHEqkZHBUC7jYEViSmhEsCYN1iyThqFJhWC+nDDSMLk0bvPbO20KUvJ8VXOnB3dSExFr5sYN/t2kzf0u9Pfy2Mkj9XbYVBypSi53BQ+EiRlJ5sZN/u2ExeV1wS6ZY29VcLoluGOH9HckMrT5uG7SHDb5nUmTfUXJ7LpiR+aySVpMndxg0+l1RDcj62SEgcBLJGvSpLkm6a4ogg2B11a0uppmV2P0EkbvdCivBgSuprjsM3qlxdTHDSbONSkuB4gM/Lz+ZzAHZBluI2R4ts2WE+sUVgLumS7NjYivPeFxsy/l0lDIljVNPpR4QpN2M8YftPHSHNX6Kqn9aH5OnNvg/2XvPYPsuq57z9/e+6R7z42dczfQaGQQBBjEKFKyAiVZyZI9zrKtZ7ts2WW/8nszU1NTUzN2eeZ9mBp7PJ43thyeni3bspVF0aIkRpEECRIEiERkNBqdw83h5LPnwwVBUqSkN19Hb1V11e0bztlnh7X+e+21/qu45rPUtTFu8PtHSuEFEidNWCjmsBbit9jRSCqSJugmaF/gScVQ06PVbzO4XeFa0LcSM3Nd81jsc3Q6YqKuUKmiHps02opgS0JFg9db/0kiiQNJOzYYrHbJ+TEbEwVGlE1eKPqve+x+ZotsLWQ+n0efjkgTSScy8DqCcjNkcNXj+kyePkdwoAQLHtxetzj4VIXrYzla5yDdBNHWr4c6AVoIOqnBYKVLphPjD+W554kqItYsdi3MpfRt8YQWgiSUiESwnkv4yi0eL02G7Fm38FOTcsPHL5ksxw7iUoKIBAEG7UCRaUfojGCtZWHUNNdLMZ6STNd9KlMug5OSK92UAc9lwMzSdt8FPwDAGW9t2v//JdYGcawp+IJFqXl1EPZvKOb7NSf3x+x40SedLLHUjdkmbfa5it2VLp/fk/DBKiStBF1NcWMYkCZHplLecR3ayqLT0jRJWCol/GpD0ixK3MTk/X0Jf78WIbVgsQBEKaKVMDYmOelCakvKQUreBz8LaahJig59Sw1WnAyQcHkgZqkUQ7dnrM70ORhhh+jGKLaKijAQhMbrw3pHQfK+QQXPevjCADRNR3OtnCJWBGWl6Vgm56yIw6sKXYZqLWUob7J5LOTT+4osFSDzrQZn92k+uqw5Ext8udBgbSJhMwvvXJDMfrnGb/3mEPP7uix58KrXo4g4OGpwqQX3NG12vFrHy5t0+ixkv40lTH5zXJAsa870a37bclGLMQ4mX3QbVDMpDeFy65zJJ7OSL63HLPkmG1aGA+3b+cLBr3B6VPMzr7gc3orZ+60Njv/0ODteTHh6AKb6bfa/2KU0mDC6M8PYkQ7/890pD0mXwvGIP9nms+5q/uquLv/tk1l2XOhySK9idRPMICG2BM2MRUcZrNkWX+9vUhY2Vi1lXShOz/o8eMVhVWWZ+kqDkewwD2y3uS0f851KQkbBVEYy6Qj+ueVw3Ay5s27yS+8TjC0mfHJPhosNwcev+zy3zSAJFO+f73Atn0NciG/MVcVI1OFQs8jf79BceULwwmTK769onnEjKq5mwxDsaRh0CylHpwJemA5470CJmhT8Yr/LZw74vPuRFpNf8GntMemrpSS2TTvRDB/r8NA+lz+d9EB1mWyZzD2Y5XxVca+dhzdnwGP4CTMn6gxfbrMykqVzDYxG9Cal+HbSslP++VCb1XzKt3b7/ObzLrs2zbf9bqAMgjrUtIFJipEHnQqKmz77qmuc/vAoqZHB0BqzYzH9NsHJr4mMU3JbIblar5yR1Y2xOwnrsy6t/Vl+cTjlYjdhyTdYzhss53tgZVvZYLFis2Peo7jus7SvQHvAhqbLbWjMBMbO1Cmv+Fz94AAfK2b5WqPBi5MJ9oLD1LN1wqzBR7yE8VebfHaP5GXlE4wYaBkRG5qulTBdk9x53ebQkk1mWdCxUtZzKRU3wfFTir6g5EmyoSBWECpNqDT5wMBOBLVU4khY7c8jLoScHu1y5N6QhpPSclISoXFiwUDDJt/M8MyYIJWSmYzgvxkxGLYErQQe2Yx5seFyupBytqiYyQhuzUv25BQDJjRiTa1rcLEyiu1fo89I6BcWA0KB+XpfF9d7LP6FjYDIUXTKJp2yRWvQJkgz9FsGnx6TVNOYqxWTO50s6J5RTVIB7Sx9ZshPFCI+MJBwtpPwfD3lbEtwtdi70dIg/M6U1TvqCrL05zW/Pwl/sRywZJr8zpTFige7EpesYUAKQwCBxlUBfzANf3Y9ZEPa/P6UybU23K6zdLoGBWXzb6dS/uiq4LFpGLEEHy8rbi9KFruaWi3DvZaN1YnZ8/QaVifhcrmA8Wp4Yw30vDECjf7+xQOkUlIJbBpeSjmOOLC4SlQwqLk2i04WuxGSWUqYWayy06jgFQzQIFKNijVmkNIsWmwaNjEm6nLE197hMdRUPDHqsJINWH13i599JcOdCxYNw6bb1uxZW2TPVxdJM4J22aKwGXBpsIB5JuSp2YBcKDm0ZOIrg7WmgdWMAGjaKVtuynRNofSb17hGs5VLKdYsJp6oM39wmFknYeZEwHrW4fHROjVH8+JUyPsvONx/xcZMJZHUbOZSuqZmtqIQ9K4bS8lynGXiVJs5Q9AetBk738L0E9b7M7RrYFx7s67xlclay2Cy1WH3k1uce98gpgPZNhx6tkql3yF9JeItiuwNEkvJcpJl4kyH29d8WiWLtYaFtdEDb20r5eJQzOWBmEwkmKgrJuoKMxE8tsvn2ETIeN3g1SFNw2nzW0dcFiMXLoBB8qZ7JUKyGTiwACYp10sxf3lPh5mqZPdTFkPPNjk/NcSgnzJsmYTRD2w28GMK4LQWRIlGdhOKLTi1RzO5pYksk+e2Jxx6oo0Mh9h3wzBkqyFRmtApCswVQVzvxRpQ1+wwbM6MdoiFxtACLQQnBxMGDEmpkrK22ybjGTxYNvnn9YhACyoZQVdorI0Id1xysU+yTWje91IEKZy8y6ZmwHiHXoHcVgJoHtsZMF6xeHR7b9g8U3JyQDG0GaAlhJamZr1uFO8pST46bHBqS/B7CymbGoIbBmC5KEibmkwiKEnF01MRv/W8z76PODxVijgQmBw1fN6daMJOynySMp21WVuK+bNbQkbrBkGY48pIxP/yYMAXHw4oPevTd3sBrUImyymulXKirrmrYXPHYxU8U+EshEyGdQw01fEMCw+V+e1xeLiimC5K9n6+yQtlkwuDCVbHZf/tNrfkJVGg+O9nFN/cinhiSzDoT3E6U8IbbTLf3+Izz2R4z1LE3Pe2UFWPK7sEd2QUs5c7GIsRtx4usOg3+KlsnrmrmosFg5oREYcuRyc7fG1/wM+dyiCakm7GRngxr0YhaZJS7saUPMHZ2YQDBYf89ZjvFEMe2xEw1BLs3bCp+CZzX9+i/dOj2MMWHygHLIcpYSCphYp35h2emg25+1TAzL0OYzlNnFXcfk6imiHplMvwYkJsSLgWwQ2llgpBMzUZfzlg290O/+H+CJ2XlE+nPDcW0rAlp4YFt15LGJyz+OKtPgfaDuPbLa5umhwyDX5lsMCfHQr5n16KsCfz9F2JWbQVC6MhH7kYcE9U5H8vQnczZf/eIpuR4FYj86Y1IxLN6MUWU6808DOKS+UCxishxg1lqm9sDNbyCS1bM1lXDLV7SrOtavzFPQ1yvsCPclzsD/k/7+/way9muH3pdfDVtlJUKsjENxS0EEQooja94wttM1nvsOexDc6+b5hhlQcTTD9h8lQDpxWTGoLEEGgpcKshuWoIQCdrEEhFICVpAHNPbPHS2CS5YZvfnkj5diXGEGDIXsb2ubrgPR3Ftpc2aFsmt15coTGVYWlfgfxWL+YvthRGJaZ8ok3ybotp2+HLB0JmKy5G02busS2iAYN/nFUcsT2El+PliddDGxJiOoTMlwO+sc8jGwk6lkZpcEKJZ0JgphipRmh6c6L3AjMR3Lps8Y5rFhMVxVLi8/C9Hmv5lOFaL3s1DTQdCy4VFFFf776WgA8OKu4tK843wWlnGHXhl0dC3tUXc76TciCvKBqw3IVay0BLxbS0GUotvlYd42OFLKbsbTBEqikve4xcbFNa9UBAI29TxcTZiMmtewzFLWydcur9wzRHMlixAXHEnXYPCB34zjpb01kWDpV6xjmyyUc2RhSzywg5MBZTT1KebyScbqX87KhBO4Jh36XfMmn7kNeCz0zASpSy4cNM6DKzFpGrdAizijCjCFyDjrYYcQV/MC247CWkqWA4yHLbM1XMIOXU+4aY6LP5nUmoxCmzWcGiB5eqJoeUg2kpiqs+u5/ZpO2arMQZzHNvv4HRaF6cDlnPpTx42aYQvA4iYinZ7NpUUrPnzdK9GRGgCIC6VmRVQqIMYkP0hl1rIg3iogaRIIBXxiLm+2NkN09iKtoYXMz5/M0dPtVMygfOZ2ibFn95/wf5zNf+E4UohARqpRzG6ZBH9/gc2RbStODJHT4Pncuwf81gtZDyvdmAU6MhsYJ80Jtvh5ZMYgmnx3pVIxqZhF96McNHFyOcl3zMHZLJlZgnCyFdK6WT5lgtJjQPBDw3E5CJBVtuikaTCsFoU/KBcxl2bxgIBJGULIcZxk+0KI35rBayRPUEeVpjALVMyuM7fdqW5qNnMpQ9SSoEK2mWyTMdZsom83f08b5XKqgwpVYVGPr1fk/RpAKM7wOjkZQsRxmcSFPbMDBrKa8ORzw553O9lOCGglzXpJrVPDvjExkJZgLDTYPBqst3pxWpFFQm2kT3t/mdZ3Pkwt59u2bKRi5lqqZu1M3tScNJ+fs7upTbisd2xPz8cZvDC13UVspwycLqxOx+dpWVX3jL1LopP5YADiBOQPkJ+WpMkjX4p2KWtha4AwGhCMg0I7yiBUCuErKRFYw4Jl4qMYUglBJRSbhlKMPxbJs/v7/FL7zsMthRnB2J2JmxaLdjlkyTTGgwmou4oyh4rg4CRdVJMbYSksTkyrjNwY0Ap6WJbYGrBc2s5OCrEa2ChbikuTgUs1iOEd3cm57j+JDFJxcDVna7mBseW0O9IX2wT/HBQcWpLcX9ZpZMqwEGNJ0UhGalAGnUK5M1qSy+s8Pjv/uXDoc/VuTJQyH/bhU+N5nw4fMhQ1HMw2MphwybJ1WHic0s355RZDOKg5bBq0MB3x6VvP+5Ohs7cgzkXUgAL+H+Vsytj2/SyJnU50F1BRWtsHXCaKPLTKy59uE+PjKg6Zz3cVPFV4odxmo2A/c5bM8KrldMbnNc7G7Mx/p8DucTLlzpILSkbrhsZjz+/H6f4UezHDrZpjKQ4pcVuqYxpCR7JWBbZPKfcym/uyxJTnv80WzMcN3h+KxBgsuXbmkzt2mwb81gPRfy1Vs8looxiZAEZoKRgtSCvWUD47THy8MhPiafvcvnjx81QdtYFY99/7rBiU+MkXfy7IYeayOgVMI3dtWxv9zlDx4a5MquhCs1xQdONPinHYLRfoeDRz028g7i+pvd9jXTYuKFFnc+kONL0wEPSotqCqEAT5g8PxFx92WfQ7fYHNcxs7e6XGpqfu3xBmu3FLjnoMXXJ/P8Dxmf3xmxGH28yT+MCl6YDHhwh59ScAAAIABJREFUySJ3IebD20us90dMDBksbZjsO9fCDF5vR34zwPQTrve76AsRRtAzWl0z5Yu3elzri+maGisBUknHSSj4grGmzenSkzywZPLSoMFmXiHSDPOu4C/v9lg8FxMZgoVyzJabkgvh0y/kGWsqvl9SIVhOs0ye6zKX3eLSfQOMXmgxdbIHKhupgUxSpAApoGqZbNkmeiOG9TfswLUg9jXbn61w/qEhxrMp9xch0YJUw0YX9iQOO5/dYmsoQ/uMphHbFNKYvdc38PsNFko5xOWQvlbK6LEGl+8Z5ZcKBf6sWOU/vLvFp45luWPJ4vh2+Gaxy9hWjqVbTbYnmpVA46egMFh1DTQaO4nYuymIBFwqSqJi7/k1GpUmDHcTzETQVtC1JMiY9lTCM9vajDcF1YxmumIRhlm+vf2tfecquLukuK+sCFM4t2Vwp5VFmBJCsCOLKcvHyESsNwUSiz2mDSaoKKV/vkvpeo2keZTZSoUkC0aYMnylgwpTtsoO89kcYiWCVQmkdJB0kNQwGAw99j2ywSufGMUrWQxIGyNI2P/YBpGUTD5fxwwSLt/VfxMMxYmBmxiIQDNkhLyrEPFQf8LVbkrJzzJiGuQ3fNoDNp3AJKMhSQPGAps91wJ2vFChmTUxghQrSbHilKt3lFneX6DfgcgOuF41uXsppLAeQCtl9xM9L86OfErFj7heMdlrOghLgtaMn2kwc6LO8kSO7vkEs5O8pa8BVgoJX72ly3ouJUby7LaA919weOcVGzN93YinUr7mtCMWGs/SN8MLuqkBq71Z8JoIuNk/XTPl4f0ek5sZvjn3+phL7bCUMfjHQ236O4KDq71NfaIU3ZYBLWAt4cm5gGe3BwxVchyfVVRMj4W7u4y2oOloxmsG5UaO58agaMbUZ2IemwvIRpqhpoXTdTg9EPKVAzH3LjmMP1Unu5GlWXZ42fEZbJqcmjIAg0XHoiUD9m5IpCe4XoB6VrFuB1zt67JnQ/KRMxkmGwahUixELnpRo3WCpFf4/ck5n5cmQ4ZaBteLcH6wxS+/nGXvukkkJauRw+SROqafMHCty6VyAfNadHMdnZiIeHS3T9tKGWkpxpqK8bri8JKFnQhCqQiroNBc7Yv5/G0dpio2mVaG40OQDLwOl1JiJlopl4YVkalujk1X5zg20uZP39nmllWTKwMxa/mEVMBEQ/LTr7iMNRWh0vzdHR3yXcnLAw5V2+OR3TF7XxCMnmpSmcux+5lNKoXS286v1+THLgYu13oCQ8bY3TZhnFKvhGz2GbxoZEBItumEbVsxrmHRGc5QXvKYfbHK0aEUY9xg4prJ5SRmsJuiRk2a0xaPVQUVN+bEZIAdw0vTIR8ayaIXQxZHcwwLG1NCn615oh4TmyE/eRHyjoW/y2FRp0xv9jIVA1sQDBvEGZs7TsRUDYu4ovn87V36mxbPTr35uKhtwicueFTvHmX8RIPnJ2zaAwa/MGZwektxn+Vie5qJMw0ansGqmfLidMiGK/iVExL/sMM5S/KC2eWXjgky21weHvD41CmDL+xJ+Ng/+ohU8rk9ET/dtHg6SvjWuMOIa/DbUxb3lRVPNBLODIZ84mXJ5FIHtxHd0DmCWx7bpOWaXF9OeXYsZK2Q0LE0oZTEnsFwxcNuJjRH8xx8tMbRAZMXCwG3HSgwlJdUajZ34uBWQ7oZCxmZlE2YKfk8267g6xSZGlSzMQv9Ebdftjk5HdOay7B3GTqexFkJCXdnOOLG3PnVNiuDFk/nYi4UbNq2RGpJy9JcHQ6IleZLt3bJe4pyX45TJYcVw6EpDYa0yfuHbdILIY/2xXSTLAv9MZGZcHi5R41SagQUWwGbO3I9FHFDyobgMdHhJ55JKBzMcdaE95xOSdc7fHOfYNZ1OHw0YNMzWTRiTo5FPD0b8PX9Hhuu5u6rKdYtLk/lfB5smdSqKWup5Hy/TccJ+bWjCUPv7eOiUuwpmwxfVux/tU1x3qN2a4ExV7BqGhxIYebVmL8ZDZgvaQ6umMzWIgp3F8iXFJebkp85ETKw0MXvCmil0E5pGyabTQM5nyKS3nO1rZTP3tOha2rS2KEpLc6XHNbcDFuWSaoVnqEYkPdzLLdEMyu4uyRpx5owMaibkmY2QaaSNLHwsTg7BOdGfXZtGpT8HujSaM6MxDy6x2emapKEBqMbHUavdyhuBCyWXdrzmmRLEDcEUV0Q1m9UAWhoiL/POyIEnlKMb3aoTzu0MxmKiUMptSmnNsPY7Drd4xq71DXYlAm5UOGFBg3foF2XsKkhEQRSMdzqUp3IMjIt+VYdlg3Nq+MeDRu+Mx0yu5GhfofNz4yY3FsyePdAL6h+0pGkQDWEWCrWcopqVvWM+mtNRWArSTFvUncUdUMRK0ksDWq2xZZpoLVgsJHhiWkTZ8Dgo0MGu93e0f2wJXhHUfFzowaDpmC5ZTAUZtlpZSiv+ux8roLvGvg5E5mYFFObMWVTUAaFdZ+Z4zXmnq9SXPdpSJNFNcH05iKFjQC7GbORdahVDaIlELW36esb0pUG2XbE8FqXrR0uGtj3+CY6gbWKiV+XjG50yYYx1clsD6RojeUlyAQS2aOXMUITKzQYVCY7jlbZcbRKedmjOezgmSaF1GLbvMfcCxXmx/J4r2o6bYNmxyBqweRKm9p0hrbjYEcW47Fk7xObLA3m6CwIhitdTFI2hwqMCIeh1zI+w5Rdz1YYvtLm6mgBfSJChm+IpUJTz2iul2OObAv50sEu5a7BlspwZtChZkkW+0NOjQeYiaC/K28COY3m9GjE39/R5du7fdZzCYNtRT78wcd+AA/v92jacHzAIrQkSvTKQAI9nWbC5RGfXRsmV6cOc/vFkxhp7xvPzQQ8uttnfNPl2ztMBAJfmdQtC1JBqeXw7ITF9ZJCK4lnGFQci4ppEGqL8/0O10oKXyoqRZ875i2mqyHZJOF61uGLUx2swGGh9Bq4EQTKYKmg2MgpAlPdvGfNsmjaCS/P+Iw1JCNthRaC104hXpoM+U93dQgUuB2Xp8dMNrM2NVtzdtxDi5TZLYNUKBJfM1z3uL69gDjd22Re6Y/5/O1djk+EDNYdlrImbVOy5cKp8ZAzoyG7NgyyUa+/13MJf313h22bDo9ss1gpGWj15rEQSFq2Ir3x/gNlxTtKilfbmhiLSjbBSjTEFoG2uFC0qLqaY9MesUw5MRmx6aas2FmWSwZaCDYLAR88bzNa9Rla6bI6lGVrxWH9ng/Bf01i6AG4wpl/QPVl6JgWuVMtTuUiQkx2zWaZcyVXIslkJ6B/02ekIdh+rMbKUJa/nOlyn2FSOm/yf93SYroOE0LiHbT5xlaML022bLg+EDCI4P1Fh9ZWzNawy5C0iBLJVDHhSDOiSswDC5rp2KBxwMU0UvRyBxVquhlBqyQRbobDL/nUEosXSwGnRyKWnSy17JsVZNsQ3LXqk2kHZDoJ/8ecwzuHLZJUcLssIoQgVwkYutaluqVYKCccn4jZdDW/ctwg2WWzUDJ4LvS5a1Gwryp44SDsOJeyMafIX9EsDkjqU4odG5qXOwb2hM1vTJpc78DhjE07FrwofazQYHrFxPBTRubbTF5sUS9ZXNnU/NWhDsuFlHODKS9Phjw763NuNGbHYoaxDZ+BZR+pBX8y3mWblWFqe4Za3WG/nWHvk5tsO17H8hLqww5B5NBK+rmlf5OjjZgUAanJZj5kI5/y3FjK3eMuB1/w+OJQRBIljMcm87cq8qc8vrQbrEaGa5Mm95YU132NSAxq2RhUwkgli3c4w0OzNgfzkpOtlK5QTA+aPOClrK4kXDY1Z/ttNCZL/T6zFRhtmbQxGK56OGlCbCusbozlJ6RKUnEC9LWY7fOS7kieW5+p8Ve7EoYGs8ytQaajOBKH/Oc7u2y6Gh8DT5oc3Rbw4GWT6QQW95i866Lm4UyEFzpcLxhsFDx+/QUN9+QplRRn64KPHvNp2ibFyx7tsk3frEHJhoGLEUFL8q+DIetZg0DBQ8cj9P0uV0TK4UuSnSebXM3nSS6lRPUeIEorGtl9fd617B54kylczWQ5M2xSyyq4wV8nkHQsg5rjsD94gKv2aWZdzafGTGYykqONFKkVdcviWrHHRr/pKhJMqpmUc+M+sxVF29b8420eL8wErLuC88MRty3aBJEidBVroYW89jqo/FHiG5qv7/eoZ2B6XdBf91nbV3gT2M5vBswdqTDfl+Mfhpr8616PM6MRsaRneBNBqHpeiralKXjgdiL8wznapJzpKKqWZL0UsWfd4PhOm1+atDlTkcwmBYzIIE4kA4binj7JfX2CfkviKiiZAldBVgkOFXrVKT4xYnB3WfGuvh6b+8G8ZMAUrAaaSEuatslSUd4oz2MSxIJhaTJuKuZchSMEay2TmSTLjJEhJyTTJ+rsOFrFE4rpV+poQ9ActkEIDD9h9miV7cdqeIZizXRorAi8LYMv3vt+9r18hrAO3g0gK77PrGxlE05MRDQdTTYUWIm4kaFnUGwG9Fd9+tZ8rHbCctfC3ExJpKQbKYY3u5RrAYPXOmx7ucbUyQbj51toBK0BGy0kmVSw65kKpRWPa26e3DWPqStNEluSaUTMPV9hfjzPhaUuLQfKXm9OhlJhdWKGN7ps7M6RGpK556sQa2rXUpJUEEaK8fUOSV7hFU0K6wGD17rMHq1iBCkLpotx9vUQh0Bp/um2Ll866PH07OtVA8rNDN+ZsXoeZwRaGDQMi6atmR8MeW67z0YuITDgKwc9XpwKGWzYXM2ZrJRSnt/ey7Z3YkE2EjfBXiI0lwdjHt8ZcGwiJNdyOTdk8ItjPYLfV9sp3g0Up1KDmqOZH/JxjL0cuPoqlwYDvjcb8Mz2gJl1l2/OqTdluQoELdtgtfD22a8CSWCqN/3ftmPsVLN/xcbMwLNmxMX+hJFdWQ6WDc623z4R4I337BoWm7bmwphP0YPpukEkNV894PHUnM/MepbHJy2u9PfAlECQCpOaJVnuC9jIR9yyahFLg1akCLc0aPjXPT5fO+DR37JYtzK8MGnRcIxeXdKsyZZtseXGnB0PmK714to+e0+HwZbJ45MWofVWb/b3y7v6FA8NKuYchRYpl7sQC4vrhR7/5EZOoaXCVxZVS7JaDunaCWY3x8nR3vVlKmm6ATu2FLNbmus7CiQnY2LhsPbAfyXyvQngdj38eZpTJiqTYeiFDU5NwjMDDu8fc+gXincOmvibHjsuReS6moVSnuaFkCduCfhIx+L6UswLYyG5QHLXuqZ7v8vXtkISLRAYNEyLQ3mbw+2UriVoFV36ZC/tPG9qUpnykhdwy3rKoZpg/XCBgWzCiaUm39mbMj8qsGOJa7kcPOuz3hJ87lCXkZrD0Ym3Bn0LIRjwI96xEFLpM/n6VJafHTWotEzGVO8IuG/Zx65GdOoGlwZjloqa66WUXzypMMdN1idMnmz7ZCL4yVMhyw+6nK967Oq3+dygZt5MeceIw8J6QDic4UNzFmdqgjuCDH2tlMFBycPVhMX+gHdedEhbPfLNbqi4hOavb+1S6irOFTNcKTlsOQ6blslqMWallLB73qG/E/LMrMFLuYj79xW52lUcsnIMXekwcqnNonYYWugystShMZDhka37eM/EJcpOyvFmCggSTFZLPmWleaCYZfuxkP+4PaRjah46ldB9d45/P+yRqwnODlr82qzN7QXFjqzgdEsTJyYrjkl+xuKToyZnK4o7XYsdeTjRTLinKLnjSsj3dEw9MbhWMhFa0jUE84MB985b2EmvwPVQ1WNoucPoxTajF1oUFjwahx1e8Dw+ejzBFVBLY/5uLOQ92/Lse8ajph3+ZbpDuenw5GSWayWDtZxBLRPTtTQffjlk7p4i6pzP19yIpaLNO0YszicxP3FVUxjNslKWDK8Z7DvR5JF+yG0Jxtd8tg4VMa2EbU93OZbVrIqUC0WLRi7kk6dM0ILNnMM7n6yxNJq/uXv9ftFoKm7K39zVwYwlFwou1/t+sJKTKLbFB7lmnORTE5JGILinYDEfxKy+RR31lDnapOKknB/zOTMaUu4Y1GSWs4MWa8UAJ0nZsWUTduSbQGXHSlksJZwbjjg5HqEF9HXkzSDp66WYv76rw0I54cxwwr1Xsww1POKyQWvYQSQ9os+dz1Wolh0urPTKhkk/x/UCXBmM+N6sz9NzAU/MBTw36/Pc9oD9iw47Kh5re/JMDksqccKSJ2kriytlxW/MOKx5gkMij5K9KhWuNnHTHqO7kSpKlmCnK7m1ILm3pLivLOm3euSu7a5Bf5jFjSyCSCISxe6c4sEBSUb1sjV/atjgvrLiTEVxK3n6hU1R2+QTmwHtMKYsTCmxOjH7ntyktOJztZwjvKAJuzC20aFYDxCJZu9TPcLlhaxLdC5FVDUiESRScWzXwTd5cl6TupPy/EzAw/s8Ht3js55POTLTo/94ZaxH/7Fjy6CLSX/dw1RwjQzW8uvXSYSkExvYYUzLsahh0ogMkg3N0LrH8FKHIGew/aUa2VrINeWirsZ0EpO0rRld6zCw1uXaRJGVSz5/dXeHIzMhbgCT9R6Q6iiDUiOg0I2IspKpV+pcs7J8bnublyZDDi47xKFkarnF+KUWA9e7qHZK3bKobUqMldePTD1D87d3dahmU5SfoWr1qgYsFByu9qm3rB+BIJQmVcuiYSi6tubsaEB/y6SqMhyZsmjbBk3LYstStJyEVyYDvjfr88p4xJWBmIf3e7w8GZJqSbab4ckZxXRG8pEhg4zulaI7301p3kgglalBPZNSdbc4PbTK1YGIQCiynsOjswohfriX779EhBZsFgPefcnB75p8a5ePikxu2+9yMC+pRZpFX//I60htUrMEV4YDUpnwxM6A1UJKtu3y3R3mTW/Xm3+jaBkWq+WQtWLEwRULqSWphi8f9DgxHjFQdXl0u0nFfaueEghCYVJ1el7zC0MR2UByot+hnv3R4O2BsuIDg4qzFcUe6bK/DFf8mI3wB/QVvfbWlclCn/GG9wWR0rSchNvnc7Des2mRZf9QAPdjFwO3NWZReG4Z713bMToxhmWwbTDLsge7oxwyEvizCcfDTb4w5rHzfMr4lMJVAsuHs7mYrik4MwTO2QhXw7gDV28YEqklI30K+0Qbtb2XpSXjFLcWYa0EfHxM8Lep4HoRMvMxQSzpMwSPlyRThsRNoOkoZtoQmZLH+0KsRPD82Jsn06jdUw6rgebEoMUnrkbUcooDeUmiYU7eAHtaM3ylTT1rAZqmneL6ilAmbGZTtlVihm2BTBTHJhLip+Bw1eB/3ab50AZ8tj8mtuBAR/L3tuade21ObEnuNV0OPLVFacOHzwxwi21xSvn82f1tdm8YTNQNnEjwpVu7jNVMnhmzabyBm05i4OPywkSb/+cen0+/kOULxTY7zSw6I9kWOphewvZjNRYHc6QnY5a0w8BiwOGHlzm9c4HWTJYHSgkbQylf20iQWtKWObblE5y1lGslg4iQb+/Q/NGzMdu6JnZWUuhYfPz2DFoLmvUMt5ViCtMB/3Exos8y+PlRg5NVwf2mS7ct2J2H35uCYpxibcQcGw6RbffmsxiRxbVCyFf2e/zaMZdAKRaCLGzc+DxN2bHeYi4o8bezoL8ZM3Stw5/sFczZGayWJhMKXu56bO5IiL6v+LEVZnh8rsXCUcnIN1oclTF9po273eYnBxVPLSiOjcV88nkPNTLA/ktN1soGXxrrcE4q/vCIxj3m0d2m6NtKeHFPghlYGInFes7jzIDg7pfaPFBLqJdtotMR8rU4JKl5ZSzi1ZGIiptScVMimTJRMzlTyLBS+i8zALcXBf0mtLsZtK/41EjKq23vprfg+0UlWRYyBoergke2qRvluaAre/GK2yuKW9ZsNJpzwzHf3u2zlk9QGnK+QmvJY3Ndhtpwx6KNkcJjcz4zWxaXsxarQ22u9McU1h1mnqlSXvXJbwaoJKVZsmguwXd3B4xXLb41oxDC7OUVphG7quAbULUFG30eT8zF7H1J0f+9Ju0P9/GpEc2wFfLV9YSPDdvYQjDRMLnz2XW2prKs7MmTGq8dDwvMxGIgsd7w9Bp0yhSCaSVvxlFqDSUMSgCeRhox7yoEvLsvYTXQLGxZ3O9kf+AYFNZ89jy9Scc1mY+zGGcjFksJEw2ToG0wfN5ndi3g+kiO5FKM4cU3QUglm/DdXQFrzhU8I8W+ARDaVsqTcwHPzwQUuwonsFBdxZHhHlmt1DF+knBpT0gsNB8/k+W6dhHrGitO0Gie2R6yraKYbBhEUlJpWtDsTYwUaGLRamn6woC9W+t0hmwW4gzm0us0F01l0WkZSAO8kwGff6DLVMXikVnJ5+7oldP6qdNZjFSworJMn+tQrAYsj7gcr3VYKiYsFTRP7PB5z+UMi11BXFQk6xrSXkzfGzVw1+xtYgIFm8rl/OjbG/uMhLIpWAneGMcmiJTF5Rsx1hfzbzP/tcmS25tzRhwRpClNQ9PXyrDUrzg19Xrc1YeHDC634JDOkstG/Ltpwf+9GHCpqxEIZJRnLrgd3a1yYiAh6X/9t9Ajeo9/NL76gaISg42s4OnZgPvmbS4MxkxEDgUD/LbNr45K5j2PlTfAD0PAjqygEcNmqG/e30xs1izF1/Z2uG1ZsaWyXJr54UBKaklL5Dgy2SFSbf7NCy5fP+CxWIrJtnI8Pqv4Yf55gSDVGa5mJYVOzJrKsJHvrU8levmrUvT6S9JbEkrAobziQ0OKU5uK+2wXP5LkfZvfHtf84bzPavD2nSoQhOZboZcZWpwdabGSixlrG/iG5hv720z9kLb/2AE479AUAw+fwnj+Om1Dk4a9o4qVhoEwJVpD0S0Rz3b5PUPwx5M+L0qf25RJKxCcH44xQoPLAynS0ygPZmyDq93Xd2a7LYGuRHQOudx6rMPY+RYy1XRcE/l+h32xZqGkcbwYwhSlJXHJphAFZFNB2bEoVlMatuSZWY/hSpbqcG+oBPAT/Yr3DSi8RPPHVyIulGyaRgcvI7ijqFhqCw4bPeVQXvbJ1kNWhYlC03I0IhUIJKs5yc6tmD5LIBOD9bxH1bTYcTZC3W7SdyGlMCQYNyXmeoxyTGop3G25TJ5tk98KkOsx2ZWUD/TZnFnKseCGdEZTXpgMiMyEvSs2352yCB3FPrdX/DcFUg1rAVSSHE9va1HPtIkMzd49GeYbkneYFtuf36SbUSTnoxvHEILNxKFVS3jvuRNUZyAwM3x8QDPmhDyykbDgKw6MOow91uFIXjPUNDk+ErFqCZyrEb87O8SZe6IefULDZtiyCFsmu3KCf79NkqJ5tQF3yzxOJyXMKDoth915UIlPy0vxhKY5KJh0BIt+T0mSZHhsZ5uPnUno89+scGIpCT3B8LWY/nGL86WIUtHk+XyHn5koMf68z1Y2y3MDTUZrJt+d6YFvV8F7+xXLvuSZwOSzt8f80cshJ+7ShJjckpfkhGKfY3F0wudXv+eR8yVDVzv83TawY8m3dib8m5dsJo7UMIMCjbzJ1VzIQGywP6d4OTH5yt6Ue59KsL2Y5cDBjDUdK+WF6ZAj2wISAaWWRVeb4As6jubxCUWifvQOFUCJhIcGJZcacLdh0/A040WDjw8Z/OPaW7mmbv4utTg5ypuUr0oMNi2bv7jH59ePCp6fCVkuxkxWbITpcK5fEr8hAaCmfDYzEW6SMrWR5ZEdBqmUBMLksbmY7ZUMViuh4wsqjgubMWJDMD8QsliOoZu76aXoFRm3OD/whvbEKY/P9TKYx8+1uXp/H4Z2+VBZMJOJGLYF5zdNfvlkF+mljL9QZ+zVJguHS2zM5tDybY6pEiivBKRK4OcNAtfofU9rZKIxgpTYlqSYZGIDREwuhG2OSW4rYORSm8pUltqYczOWbORim+0vVlkddfEuJBhezMP7fJ7dHvBTJx3uuu6wHGRQm5p0I7nptQQ4NRry5YMebmCylDnP//beGoeWDIqe4Mi2kIInGN5yeXJKkJhv9CqAFibXiiaJNPjSLW0mGpI7Fh10LEiE5ou3epweDema8HPHM9y5+PaUMFoIKqFD00uIQ4Hp9/RtLZNS8gQCQSIlcUPzlcNd0PBKvw0oVmyTR3Z3WCu0+dUXXfKBZDXO4CYpaysxj9weMLGV4aUhwT/c1mHvmslY27ixAXvr+NSdlM/d2SERsGxluTzw9uvAFPAbkyZTGcEXViNeavx/R0kCQWJYzBdvvDH45s/35SRTjmCtaiMsRceT9DuCfzsFf74U8Gq7p58GwkmeHDL5/kiDOwqSjwwbLHgpf7ccE35fE/tNOJhXmLIHunp/AnXjNcDXN2Lqic039wRkox7tjdhlsOHD9sgiHws+M5Hyh/MBQQo7s4JPjJiUDbClINaaWgyvNBO+uZmgUoOKKvCdyRQh3tq3Q1ZP955opjdj/oSWdMhxdLzN2nub9HclcZjj6I8Af28UM7E52/f6/Pv5UYPbCvK1gXiLJFrfBG+v6YiWb9CvLH53MuUvlkLWAv2WPv1BIrWiaSq+vTvkgavwL4e6SCP/QwHcj90RaiF4hk4xZPiVJptlwXfnXHYPWOQCC1e+pnwEq+WInfWUucTg847F/5izaGymPOUGeNhsFiJ+/ZigdWeW66bklRvZSH0mfLQo0Kc7XNpd4N4nWqyWXaobkvamQXk65aSRcsaI+fXjsHGogCpIroQxo42ATAgj5SzT1zTzoc91KXhy3EQrSdmAT0+Y7M0JLlYN7iuaeCLlXFdzfMjgasnk3RMW7Y7FkOrVftv13BZV1ya90ptFR7YFdA2D+T7N4VXJ7esJrQdzfKsSUrMDHryqmKvFXLvLwb4aISZMZi2T7lpIOu7SURY7q5Jdz2wxP5THvhYjtCZ32OaxasSWYbKeNdl0bLZMk4t9BkOuwW9MmtxZVOzPSW7JSw7lJe/sUyz6mpXIpOkG3Jdm6JuwKAdZJlcDpl5pcN1yUZtvXgEd0+a5UTIXAAAgAElEQVTI3tv4iZdOsjWZJTAylEy4r18ymYFdSrDtOY/Pj0Skkc2lAc1tK4LtTYl5h42lYKlq8o6uwfSJOvVRhyg2KSu47KXs1i7lVsLhh1cZvtqhU7ZoWw4jJ5os+CmXlWDn7hwfHzZ4pZnSTXu7wKYTkkn1zayvN4qpU4wUlg4qvi1S2jVNcxL2FjMc/p7P5UTyjVkPGWRYKSruLUl+dcJk3JYcyCme2ITLgz77lzVPbtfMl20emrCwUwNLKx6lxaePp9imAD/hT6c8yvUMp8YS8oHg3qsJeT/i5X6DM5mIyV1Z3jNo8GQloZ4Led+5DA3bQmzCcjHmTx9os+mmFNoZLuUdTg9bLBVu1EJ1FFq+1fPmSPjokMHHhw00sOxrQPGTfX3Y2esMBhlcpQBBkih2l1KOtSIaMRQM2JHtlb1qvX1i302Rae9YebE/YKBl0BAZnpuy2XTfmgDgGyY122bVNrk8YN4Iju59Ws8F/OQ5G1+YJBUQdY0IewxeXzjcpdSxeG7qB3PMwY1xz/ncsWAwXUkQrqAy7iIikwEn5WRd874txcyJBvNZl86yRHYTRpc7DC90UFFKkDNILIlINCOX2+z+3iZDVzsMXuwVcZ8402T0QovpVxpMnawzca7JyMX2/8vemwbZcV13nr+75PbWerXvqMK+EgRJkOBmUdZmkZJsy3JbtmV5k+yYbk+PbHfMRMxMzIw/dEx7osfdHTGOCbdbdtsd6pbbI9uSzE0SRYqSuAIkABIEgQJQWAq1vqpXb8+X250PWVgKKICQrIieCfX/Gwq53Jd589xz/+d/zlmrs2YDiqyUDJ+ss+PFMkkAI8eq9F9sgRAMnmkweqLG9GCe+GgEETy52+f18YAkdvj+5oAHLlrkQom5bqUKlOGr+9o8u9NnYsnl5cEsB9s/z3HnbepuyHIupnfV5dUBh1P9Nwu9b3xODUtyZqDN/suKXCj5j/e2ONcT4TbyvNkvOTPUIdAx25cspNmYM0mkvJoo8dJEhy8eanB8OEQZ6G8ojowFfH+yg27neGdAXb13S1ks5SLeHfLZuqTJhJpmS/LlfS10JHlhxCaRmlU3Yqkr4JFpe90YAmU4Phzy9O42f7evTd6XXPCynL2F8wbwmWFNny1wfJeHeyS+STjXvvVqfk9B8qGeVMd2e9XY2jMFfn1Ec6kh2W9dqU4gCCNNQUgOlAynWjGVUF6VMRiRXrmk4bMjFg+VFOdqkgcLms05wfF6TLg2xIMFyW+OWfRqyYDW9GlFt1IUpaIgFDmRbgITDGcagmrOp+lGdNVd9uz0aLY1Q8qlEyqGs4a8bdidl3y0T3OhAdlWhq7IxUSaKBLc26XI6YQTDcOVLhQ3YmtG8NtjFvcWFPsLkpUQyuGV2nuCEJtQgu17HL+OFdUCJryUrNmelfTZgrwSaAGNDezNB3sUB4uKS6tpSzsVaJzAwQltdJBKH1RgM6mcG8Yp8EPFgAMHSvD+3rQd2GZPMt1O6GzwYj/Uo/CUYCkwCCQLXT5n+gOGKzZTpS72jX0M/msI9Rqs8T5mR1YIbBgazDDTFOzT7rpjtqkcfyEu84WePB9ZjRmWmhMmpLupeGtII2xDw5KIpYSxTdco6YNFhWgmtFxJYcUgMHQuxIg1Ia2pGTa5iidzECYCtxISjDrsdSz+jRWzuyb4dUcysBzwvVyET4bY0kx4gs+PWsz7UF31eNBxaDVjfrY34aXViEt5m509inIHdlnpbynN+mQrAXPSvlpQsO4YIiMQRnCxYLBOxjiJYMJVLCSa740JHj3c4RB5XijU+e8oUCXhL2WLewZtZiqSnS+WWRzMII+H1LXF0FtNKp8s8FjJ4mtL1xgVLdI2Nh/sVUzVwW64jFtXnrMh44Z8YcznL+YDXqsWmNxvc6GqeBDN1lcWmR3Moo9urMU6vGk7n3jtW+x9cp43PzmCnc+gg4jddgd3sUXLsbiUCdAIVKz4zqaIj77WZK5T5Myq4UHtsfPFeTLlABkmnP6JXjq+yx5cpEnY+eIilZKDdbbD3q/NsbgnT/elgK9OxOjQYnNG0CUUvzUKfzgdEANW6PGN7U1++oRL0V9vfOraYuR0k92qm+9sahKJmIP9WQrvxjRKLi+rDgM1xfFJze+NWRS1YKqiuEt7bOnrsDujOBa5/MH70kbNo5M2tQj6E5t9OcOyZ3PZC5g4VefJzTZ5X/LqsEJFLk/u9PnlYw4D9ZA3ciGFps2OosWIrdhmWUzpFm8Ows4lQcNO+IuDLUZWLL496tAevLMd7D2FVIfjx4bQ13y6T/FYKeL5ZcHe3kt8t2LxoHvNse1Eklxo8TtjDvXE0KUhMOAIwR9OByzcZtuahoWyzOmYs5PyjnQ88oadvIo083nDO4MBd82td9JO9UfMFmKizq3DkVfHYiRtafHN7TF7yy5jh6s0+20Wt+ahkeUBYdj62ixzAxmsYyFGCFYjh1rVkAtDeusNJo5UWB32cBsRMjLMljKEKwlyNUGZBDuXEAlNLAUqMohGQmYlYstzZYZP1Th/oMTwyTqFRZ/pwQLieMBq4pIPI8aXVzB5yVQhj3U0xABP7/J5bTygezXDc5stQjvm/36wxf/0XO6qWH4hF/Ol+1p0lKGnkuPvtkk0CuELQuVwprj2zPtu/WxuhBXaXMqE/PGjLbaXFYvZGNPJ8dImhTSKGcfi67uanO2p092WBApCZehpSj52wrualQzw6niHv9/dZtNSltdHYs53dXhyl08iYdNShq9tW/++hZHUZJYT3W3+5WMNfu1whljAue4I1c7jO+nxVpDl6GCdp3e2+cCUy7sDEScHQt7tj1AJdNdtcjWHFwYFsXXrefd4b+oozC7bjLsedjPiF/oF3VaHv56Pb3LQPtij+FCvwjYSaxi+ePnWzPQV3N8lyWmwEgdu+EwbvkUewxfG4Y/Ox+Cnf3clPFJK7fKcD/PLDvc7HqZhuCvX5p9tgj+bDXl/t2J3TnJiRXGv8vDUxq5CPo74SLfhqXJEG4dlr4OdKMZcwUzrChMuaDYc3l9MONIMmC7b3G+7aQkbwEkU/djoZsJPlQRK+HxpLuZGC3CgIPn0kObEKtwjsmzyQn5nLOStZsRfz0csh6ltqFke7/Sn54y7gp8e0Iy5Kadc7oBKJK4GVxkcBcfqMV+ei2itvZQ9OcmHexVvLykedtekMlcGc92gFGzIzIGg3nBxcJAixCViv5swMS75VxeDq/pEgJ/uVzxaUphE8D+f7WAiTU1ZDC7bfG2LIiNvb39/7Bi4fPMFwpVVRo+s8p2tBXZttqk0LIaUve54R8ErTpsd5xI+2GshDTy52CIObaa7LNpuh58/IXB7bTpbLM53Yn51RLM9KzFHmwhbUAwV2YamM39dhltfwmqP5OuWz2++IWgNeTTHXLqdhC+3GuzwBZv6c+w40uH57pA3ixY6q/hvxm3ONWBHnGPISscaJZKSZej2DC9VYz49ZLHUUIwqN2XfvlemkrWvsm8Az+70CbCYLUDJN/zcuzHLjxW4EBve9kO82PD4aYG7J8OXsj4/U7cIKiGvWtA/4vG+7/o4bUN5ViF9aCsYaPqs7sjSPSB5ejlCce1j25YVnF62OKhylNT1zJQgjBQZI7mrBJsykFOSUsdj++kW+cUOK/MSEQguFSO+sdPnlYkO39na4bntbVbz/dx7ao6uqk/fUpsgr2lnLFRic/fTqxzPCt7OBDCZQSm44Hb4/GHDwkie7u4cE29UyK4EzLZtRs43CUuaRl+6kE8eqZBbDpir2vg1Rbsp6a520MT8ydaQRLjcv9lmtpq21mmRcLpl0kXCC8mGCfvm099qMLywtcNrYyGPTsckB/I85TbRxnCoN8tDz7WZtV3+aqKJ1/LYt8OhICWm4bHPzmALSUaDVobXK9B2Q4YrNnu3OTTbigE8+nMRX6902DUfsTXQ/MttHbJ1j8cPZmiFginbZ2JZUapr/nKnT0577J6wKJrUrX+tE+JFhgOXNf/+gTT89GaPR/UORLzDjuAzw+lOfmpVMhpkGVEeOrDJScHeLmi0hukxbdwbLtcJFVrApYYg6dj0hx4DlmRzIZ3P8XXGUpLuvivhldkjiNQt+kTeAQSCUCcgEh66cO3bNxj+0z0tSk2bl8bs21whhS3S+nGVXIcPn/IwLRi/3MDv0jR7HEZP1Cgu+CwuK07lI7JBmlFohKATKZotRbMhUYmhUnBYXtFwMUkzO4XACEkUKpKGwNQhaQniSOInmoav8JohY+fqRLbkPB76VARrcgM/THs21qoStWyIhOGZ3T6vTAT0VTJ8a4vFkCNoBhZLhQ6KhD0LmsNjIX95f4vuuuZcxuPYsEYIsS4h5QqTc+XdfKxP8ZE+zZ6cZGtGMuYJurXAkRAbroaRZGKxnA3JhoZOlOWNkWuOwRWmrKMMVqhpKUVbKE73x7wy6VPoCEaqiiOjIX+3r83mhQxf36ppWzYVy6Zqw1hF850RvaHgXawlOi07hlNDPhe7QzaVPb4zYa07JhSK6f42b452mO6JSIxChC4nCxYn+xwuF9RVtlGSbl42eYLM2i3vykse79ecKmvuW3MAokSiI822vGFvF1giZVxiAz8/qHmwS3GyrNlOhm0FCEVqU66HArr0lRBiumE6X1XssbJshCBSdEnY222oNUYZ7p7iMyOKAVswXdHsIsvwWrF6gyAONP2O4GB3+s4WKw73OzmsDdj2KwgjwXAu5u1WyJIv8QJD96jLuKcYizPItc1VYgRRx6IYWQxrZ8PvNjECEWm2FiBnJ8x3oKgF3VZaCucTA5rjy4KHdAFbKmRsYYcW/S7cVRQcrsXrwpVFnTaEr3UkftOm2HEZMFm6EodclLbZc0ObkYzh7i7BBT/BloLfGrM4URE8bOd+aPuSIv1mclg4kcWgB1tz8EY9HecTfYoHuxRTyxYPFDR1E3O6ZTDG5lwpzQ62hMOhgf+axLAO9ttlLg9ZvDGumUxgi7w55BVEkoeyHn9gr/DFyGYpipkqxGQaLgKBMIqLBbh7NqTX8fjMsOZ0VWAlLuNnlmgdcBk/E1DFhev2W2EzYURbBFpQdQTOSkQQCXpyAsso8rakFQh0I6RqG1Zyit8ZtVJmLcmR1etf2UrT5v5ixKcGYroskGt9bbrmfHLLAfNWFrV2/1AafG2IjEEayVwuwiRgaglbXI1aVZzv8Wkpm8xUwMADLuWnmizkEorbMlRXYfRci6muAroa8ep4mo33b560yL7UYPRX8nxmWLMlk9YkuliXOLHDw+6tw1DtwMJJFHdnWnxvOeEhoRk9UWWmkEVejJjLpzV5upqajrCIEKxqwXz2OC3bMBtl6JvtsO25JZQFq0MuXi3kWK8g37Q52G8zE0r+Y9RgWWsKU21CSzF8ss5UTx59PmIxtNn67WWa3RYqhKF360z1FNAXUm+hozWXG4pLuQ6+CXFGJX4CI8bCbwp+vs/wTqPFubZARR7P7Gzx8ZNJmsSxv82JwYBy1vD5Nyy6j3fY8pDNYBd05gSOERw2LewITo9JPlKUnClb3Odce2Z1X3F/UZGbEzSiPIcnBR/PCC62NbFK581ex+Iru9qUpqBjwB/XjDqCj/ZYHJmz+eqeiO62S6DBGdSUAxjC5v6C4d+VLV4bb9PfSsXqNXIs5W/vvHVpeLxPc09BcrYBSysuD9vXWGyDQAYuxld868I+nhifB9azCokRqI7LvuumdLUp2VFM+JWhhH93OX3+JQ2fGbaYzAhON1OtTus2MaYhR/B4n+J8y/DyanzTsVcaHunQ5o3RBm1t8KI0dPrNHR0WczFhkHaiuKL1uTH00aXhE/2avXnJPz+bMJ8zvDUYcGDWwazCjm+WcVoxY2/XONeXY8pv8+cPNFCJ4JFph0fPXqvMHyhNsAKsJDcSKbdFLCVLvstKMybyJU4nTQpo2oZskOrCWKuntZCL+asDLVa9hJ5Klm9u0ezICn5r1OKPLwZMdTJ8dW+DSjZmphizaTHDU5OKyLr9iLSAXxnWbPIEKw2LfikY0AbtJLgFyFkGIwzlwPCvL4Q0Y0ES5TjSncAG7IIwkgXPY2Hk2t8MNpoOf36fzyvjAQv5mC3zGf52h16nT2wrl5dHbrrkTZDG45Kr6KnHvDBy8xKoYk1ZZ5hswZu9kqh342VyW0bwMwOagk6d6pxl0NIQA2+WBY846xncMJbIRpZ+3eHxUsgTfQkLQYKrYLps87CXIU4ganp8qs+wFPi8Uk0YcQQPlxQHCmmPWIB2DGUftgvv5oFdh1rbpseTfGjzcaYiwbkVxS7lMO7cvOYZBO2mg5KSQkewxb35mI3OiQOLx7sd3mr4LHkZPp5XLLUkwzew3okRKHF7lyOMJTQ8PliAe4shxqR66XYCb5cVj9rZdYx7lEhEy2NrXvCPxwz/6kJAYFL94W+MWqx0YCLKULI2/i1RIqGZYdQN+GebJEtRwnQD7pXZH0mG7hUYBK01LfUXxuFoI+bhkuJUWfOgm6XZivnZ3pgXKy2q15lJ5z2G8GPnwAUNn/Hzbb51IM89Rc1MU3JA37zTDiLBPbbLH/YaLr7UYXUTOLHgeO/aziuRnOsyHLrYoVa3KDcVD1guiUko1GOioqZv0WcmXt8q6FS3zx7HwRjBQkYwshoSxgJPCDYLl56SRDYhTmI6RvLpEQdXCFzfo7hB5kqcCBLf4SPdCcfrMXutlH0bP1Zloc9DvX1t5ak7BoRhyRWIBKqZhEhIzHLCpi0SGSuWszFLjmDzOy0e+ck8T4sGLSXYOuTgnY1p5TRqKsTXKZs3W0iYKmnunmqx1O5mpxczvSqZkA73aSvdohpDz6U2feeadLKKVtGiXbRo9NgkWtKJJNSyPKANgycbJAii6ZDVTMKfHWoyVLF4ftSh5VzRtGi64wzP7JjlF486LMYuLBuyOsJKYspdHicydWzhMmALRh2bP12VvNMLd59r0VPxmR3K0jnR4dWJiIfO23irMbueXoKM4PJQDvVmh+e3BQxXVdqzUwje6jZ0NS2KXRbltqBXafwQSqHNb4/E/K/nOrQjzUJG8Lf72tTdhJpjyNbzvDLS5OUxwweONvncR7o5a4ccfKXDUtHl+4M1inWX/t025Y5hv17v8PqhZBjFw12KbyzH7M1LmpFh+xpr7IeSh7wMfzRWI1YBAxWX7G6bZiS4L6spJTYnhuo8t61NT10zstditaVoac1wLmBMWczk0kKXXas53rmN8LfXEjxckjzUpZj34XTZ4oDtIe2NLU1iBGFy52bGIGishVvOtWOWw5ShmPehXPE4WIwYnJT8yUy4YZbXgbzkHw1p5lrwRLfio30xr6wmvNNMGHUEk5m0D+hr1Zi/WTAse4Ijox0ePu/w9C6flyY6DC7neHZrOuZfHdbszEmmmoZj9ZhTzYSDRcUHe9LfX0Lz/pLNX9Vtnt0ecWDWoWY7UBVMfm+FlXEP3gn4xkM+m8ou394kaWwLeH5Lh/tmbPZfttha1ldDl6tuwtGRgHcHIkaqirtnLEar1/pFboRYKUQnrUn2t3elzFGpKdm9YLN7QTNbSHh2p8/oisWql+H1tU4Nj3VrXCF5vMfm/5qBZe1yriukVMvzte03z4FdOUEXjav/dmW6SHbp1IG/y/WuvMTUV48A3yBETF8+4BcG0vCcQGzovN0KKXPmcsm16fS3ue+Ss855uxUKOmVwKqG5SeekE5u3e679+yO9aabiM+X0QB3bvDm08XV7rFTruTMnOV0FJ/YYsxzoGAQJdRPykGVvOL7ECJzQxQkdlIyoEVCpSe7zrjlinUiSaTl8bthwqCti1BVcbMH0isU2S5HFIidUGr1e+7RklCAMG4R1BasNl+8u3MOBvhoPbLCXVkFCbF1z9mVi0/fevttVVNuKewqSbgtqEWzLSmZWFLw3gb0hwlgS1jI4JkEAQihyQN8teQBBo+Gyv2D49RHDn86EfHpI40lImt4tnbfrzw99h0ykMPiMBA6e/YO5Rt5qgNOKWR2+tUNtEDTrLrvyUOoOOL6keMhNtYutQNLvan6u3+LPZtONa1HD50ZvP8d/7Bw4eWqRco/iyz2K/z4rubCsbzHRBCrRDFoOf1KIGJyBrqyF363otQTzRjLVG5M5ExH5Ftus1MAGtTbSGGxbEbo2nE2uarjO9UTU4wTXFaiWZDYv2FZLi0KGkeIeJ8NQDrLzCb4Cq6Sv6ij234bFqrYVBWURdyRY0HOxRW65w4LOoK4L2tfc9COveAphDA3HEEoJ5YT+PQoHSdUWvDVo2DEdcl/i8KlHJPfPpHqOvVMtVtyUUXxhaxs7FsxkFU9uhfteixHvBPROFui97nlmKgGbX69QWPJZKnq48x1KUQsvjOh0WRz96CCRmwrbVWwYPVFjtuDRWgj54sNNupqKlwftq85b+mYEm5p38dSuE3z4lKanndZcasYWLEGlkbC8I2FbThMa2GJrMkbx4rjk0aMBq70ZWmcTvrM14LltafeM+y65jM03CbY7+Kcj3h6O+OZ2n7oNd88pPnYiw5neCBHZbPYkfltd/XoqTYvNxZgnemO+shghI49vbmty34ymrDKcHleo2OY/7wn5xNMBpZomChPGZ0OeG5RU3YSyq/lsSTG1rNnq3PhZCpodiw932Xxjuc1declCU7G5Ydj+/TnO/Ewfd+UV8apF3Y4I8ppPFySXKooDjuKRgs1XW5q3hiM2lzNszghm2opECWSkeLRo8aVVD7cJL05sbBL25NJCsdszglnfcHpZc0C7WDeN9fYYebvKyliGdvHWRjWKJUnL5bODCYtxzFsrggMyS1ZpoobNJq/D/zAh+NvFiEt+Qjk0NKO0x+ej3YpjK4L7ZRY3UUgV8UC2w4PFmDnf0Ooo2rHkYz2Kp5ZiwiR1vFayhsNjAQMr15y3Q8U0HLhctZiwYWdfghqKWQkNJ5c192iXnIYPlAx/s2JzdKRB007IBpKaZRPUBf6C5ERvxFI2phN5BFIznbURJiAejnhlvEU2NOxesGjahrM9EaWWxOrYfGdT2rpopCbYsWgjTKoJCxV0tQX7L9sM1tM6d3P5mC/d1yQBctUc50oxK07Mt7e26PINY0tZnpmQxGuM2pAj2JYRLNY1h7oS/nwugMjlZJcLN3TvyUj45WGLbRnJgDnCfiM500oF+gJBUPO465b2SWCMJmhKPlhKeKUW8U7jmk1yZOqgz/iG767E3C5/RRpJ2cnyzNZbSI+uw56c5JeHNBmVxj8iAyuB4a8XIs7eEJo8UJD8ZLeiqCSX/YS3GjdvDK7gYEHyyUHNbBsulG3uu07LlbawV+Q2yJy8GYI4sRjCYmiDR9cKLHISZOgz19Ls1k7azusW2PliOdVA3tvNwtbsDbphwXI7T05qbmTBRWy4+8k5qgMOZx7q5YdBGEs8o/lQt+ZYI+3bPSEtSpfbyMiwvOm9taQ3Q9ykW70dEiNo1z0ezRsKk9ClBTPLNnffZt28EZ1IM0TuB3Y884s+e55bwvJjzt5fYnZP8ZbHXnHitNE85F4r9YUQrLZsPliKeGY5JDZpKLcWCG7nfv7YOXAj55q8vt1jX49FI4Kd6tZvK4gE99oZvj22ytYV8JoeEvhvN1l8aVkx1ROhgwS3GdLOp9dJVn1aWYFTg4pjX20+DTDdExOYtDm1JwVnuwRPLISI2BBEgi2uottOKNZjFjOC4SGbcxXFAzfWdjKG4rxPoiX1PgcQ1Bou+y2w2jFbX15hZjCHOrreHNbcBCeUIBUiSei4hpYGMR+RFTajHtQSzZvD8PFzGm8uZkc2Q0/JsNyAoYWIcxmXqpvwvc0B/csZQpHw6kRA/TWLnhNNypPpjkKFCRNHKgyebrDc53LGyqLfTQBFFYUwFmPlFnufWeCtJwaJLcnAVAOMwb8U8cUHmjih5FjJZWWDAoylcJClrOIrd/n81qvrNSBneyPyHUFhh8VMQ7LfkWzSFi+PBVSPaOaxiVoxr24KINb8+cEOOxctLnWycMbgO4a/29dmYsnjq9s1/ojP8aE6bgRZXzHqCi63bsg8ats80RPzdDmiGWkaJsPRkqKcU9gCCsbi6LBP1Ujk93weKGr8rOI7bpOhVZv4XptGZNhzQzLNFTR8xeaSZEc2Lfh6cVlTXPDpWvChEtM/LuhObFQgkZM2CtgsHVoBvL9o8/SqQ9mL2DWQ9sKcWGOdm4HmUMHiPy86vLZB+Gl7RvDxfk2vLbhQF5wvW+yxXeR7cfsboDDvM3mkwuC7dd742RGMuvUy3AoUHi7zrYCHtXcdmyEI2i49tuTjPR2USnv7RgaaseGdJc2jTubq8UlsUYhTE7gN1pTHhj7pc6goeb5qc3KwjhQxXatZvrElNYk9Fvz0gOadlbQdXcoopdSSF8FDayGoRscwlpXscjTHELwyHvCBM+k79LVFsmr45mM+IysOT225UgpIgHA4U0zr2OXCAH8gZrimyNZdXh6SV7NpEyJaRNRUQmZNpG2A6mDMMzvrjK5KtixrjoyFjC5rjva4XO5SgMVcNtX02VbMkZ71pv6xbsXFFuxOHAoEvK+keKp8s/s07gp+dcSiFRkuLHm8sPAQ75/8OpMqoBLE5EKbcfu9F8kwlmR8m88NJfyPZ338JC2T81ujFq4UPJBTPNQV8ZWFiFPNf0BRMuDDa4lTb60I7pVZMhpWTUSvHfO7Y4o/uti5mg06aAv+0aDmrYrgibzLb4/A/3LOZyVcf82MhE8N6vXC/h9w8/KDouFb7MDitis4UJpp0TXbZkXYbPl2mYEzdaYe7KHd9d6eSP/ZBpYfM3qkmpaeGf1hnC2otzUf6LIxImC+JdmtbSYPz5Jd7vD2hwduuq7djBg422RuR47I+UGEA7dGlAhk02NHxvDiouHh29RE/FGhdLnNrheWmBvIoI512Pz8Ck4rZvq+0obJd5A6ca645rztemGJWp/D5b1FCpHF50ccLFKBhVIAACAASURBVGW40ITRIIdfuvX9f3RB3v+foJlRNPY4PN6nuFCT2LfIroGUyj6UcVnMGlp2wrmCZHNGkFdwd8bmQldMEkK2slZ22RgGphosD2hKCxGd9vrHe64n4pJtkB1DSSpO9gp0O6aw7BNEku05iSehbzVmIQN5Jdl+fXjXGLovtdj/1Dx7v7XIXU/O0XW5te7/t720TDujCU7dnMVUdw12tKYZMQJfC1ZdcOoxSazY7mpUrDnVF9NSCnsq4DP5LrZvylOaSQhdibgQ8o2dPj0NxfPjAh1pLnRHzGYkvdMtRGzIL/oc+PocxTmfqZ48tROgb2jQboRghgzeGZ9d31pEBQljb9eYLWQ40hVQcxLOZjLMFW/9cVtBjue2hVwsrre2Z3ojMm2b7TmFCRWdSLHPdZkpJcw4HuJswhujATqGBcvlfFHw5bvb6QcnJU/t9vECyfeH0+y4eTfLmWwG3bFpjqaFksdvcPxbgaRbKD7UnYa7ImlTzqVj//SQ5gtjDquO5PAwdE+16D/b4ELO5t3+mLq2ebSkmKtrcreYj3EikKHm14Zs/Bi2aJvsSkDcgexcgGUUD2Y8TpUyHCxKLjUEJW3R8FP2dFBZNOIsuTGbhbYgs1Yyp9WRTHqSvhts/bCT7gA/N2ZR9QW1iscBUWSfc02Y/APBGDYdXWWpx8U712HicOU9T2kHFjv0xlqUVmCTb+XJ1Atk6znihktSzfCgm7sD7Yqg7Wt+quQgE0VDOLitDM9vTp+JBH5p2GKmZbhXe+vOA4tufW1FTYwgCSx+qttBRg5/uy/gfOnat3d8OGTVTThV3NjJEQialsPprgwvjLu8PqLXlUKRaOYzLsf6Mrw8nOGlYY+Xhz3eKeU4nckxVbR4bcQwuuTx7PgV52399cMbwkEFDXcXJO2WhRCKpm/xUyX7JlbrgaLkn2yymGlCqZVjl+0RxBZe5DEUZ9lN4bqs8vdGtW2xSVt8akBT1PBPxq1Uj9jwcJo5xo3LPx1z+I0Rzaj73uLxooaHuySPdEkOFiX785LfGNH8RLfi7SXNwzqPpzTCaEq45IMsPZHD7447THoCV8KvjWqmG3BIZqn5FgPYfH7EvqpFlMB9BcnvT9oM2JKLZZtH7PwtszL/IbBbET0XWu994HWQUcLm1yvMDmSpzSkuVV3U2ZB7vjJL98Xmbc8VsWH8rSqz3VkqVc22b5VRwXo7XZxrs+WVZfrPNHBrYcoWAZYf0zXbZvBUHRklNDqKQUvyQFHidxSZSkCmGrIaaHY/vUh25VprguxKwN1PzTN6tMo9fzNL6XL7B/rNt0MQSeJajofdDaoj/0NgDLlyh8K8T6YSYDcj+s412fXtRWaGsnSOx7SMxVzTYfjlKjtfXELE770RKc369FxssenIKiSGStNml6eZqsGuOEdJ336e/dgxcJ27XbyM4mzZ5kH79sYniARjOQHGRsYRMyXNz+UVEsndns1fu4amVljlCMahe6ZNZrHDOx/22HYmQVwMueIjt6wkrRSfCEQ1prdPspSP8BNF7qJPedihJwP1EAYrhqNZQ0ZIimuiT7sVsee5RbxaxHyPx5y2GbjUZM+Ti5x4op/VkQwDZxoU533OODms9gYOnJMgY8kvDWmO1xNeNZLFDGxuxqxGgq2uhawpLpQCmsqi70SLTR/OQAhbznVYzrrM5iOOjAb0VXJElkYkhponeXFTwo53I3Y9v0hpzmduMEvjgkGvpllxGyERgstJhtF32hxozkJiCC5FfPfeDt11l9c337wQD9iCXxiUBItzPN/WrHgW/+ken99/QaNNKkQ/2xvRJTJ4EgakohNKDro2X3UTFvIRwzXN9zd3KNUdqn0aogzf3F7nwQsdnFhyZDSgu5JjJXt9hpzN8T6bjxYUS75gm9wgzNm2eaI35pmV1lXR++6cZG9eMqgVA9LmK7sCfvJFn1BYvDgR0tdQRLvXGCJx+/lY9zVjWcVLKwkDUpOthIjA4M6GtAKXuzMWr1ZjduYk02vSgCiR2LHifV2a/yeAnTnFYk1f3dVHiUTHikMFxdfXGJhDXZJPDqQL2+Wyw322c12Y6IdDab5NYanDlJ0lTjzGXqmwvMmjNnh7EfZ7Iw3RldCUfgDdTt3XbC9Jxl246Hu8NHbt/36yR9FrQb2ZuSMtTN1X3F9QFGcdZr2Y//OxBp9+0+XQBYdv7fAZWnF4c+uPfq+s0MxmNbNZeLv7zs97tKRY7nBVa9nwFePdkl1ZwTtr7NddecnPDWqOlyUP2TmUJQnfoz7fe0NQazp8tDtmS1ZQ6Qi6/Awjlp1GkToebmix3+lwz0TEiWbMt1fidYycErA7KznUpdiRFayGqR5ZSYMSUIsMc8sOD7sbz6ta26bbg98dh3fbMUkiGAyyWGvvebXhcKAY89P9Med9w4d7FDkNZ6uCbSbD1jsQ9v9QTyZOmZjCgs+bHxui0XdnjvHwO3VkaGhfNCjSxJYF36Wn5rPjm2UO/5J7kwN/BQNnGojI0LmUsOS4TM432PzyMlPv6wNjGD5ZZ/JIhdW8Tel0Cy+K6OQ1ILBbEUYJTAgySJjdV6TTscjpiH6h6ZtuUivaLM8LrDhmz5PzHP3kMNnVkJ3fWWKp16WxZOhtddjz9Xnm9+WZPthNfJsw8X8JyCihb7rF8Ls1MpXUgVWJASkwAqZHCyRvhrBWM7CtNJd9wdDRJnevRpx+tJdm9y2Y0MQwcaTCQm+G0WNVuufarIxkqFYyPCgNQsgN68Zdjx87B+50Mc9YR5K9kf5ODLYfY7dinGaMkVAZ9+hVgjFcTuRTQeW+vORSXXKoW9KxoOKCW44QsWHicIX/sEWwPW9RFQlucm0yTvfEOJHgQl6S1GNGBzRTbkhbafIXA2bvE/TLVJzu1mPmxhJGEonU6V6w71wT0TGciT302wZNzLLtQtln75OLTD3Ww+bDFS7257CObVxDqOam2adjrqCeGF5vCOZygl3tiCCSTLgSFStWMzEzORibCSgGUA0NWy6GnMs6PLm7zaZli6cnrmV/ycjmxc0Jv3jSojDbYaovjz4Wom+jVClnYgINwzXF5dhl9JLPzO4874Ydao7h4gZG530lxeN9inYo6R+4iDwPdsfj8GiN/+2jVSZWNEM1Rc2JGetRLHZgs7TxQ8O2rCKUircHYxpOWsG9sRYGk4miYjt88f4Og02YWHL4+ha54eg3ZyTNjqR/Ou1EcfbQNSV0oyMZyEgeKymeXY5xJPzcgOZkRbCjx+KxjMezE238b0laBc33Sy2KVY+Hei0u1CQP6JsXBxEbhDEkWtIKJL2eQsUClCFbCehIRXYhYDmU7MpKDhQUjQh2q+uSZ3zNTxQtXqrGFDSYGzLBWoHiwbzN18ttnuhL6xIdK0sesXM/VKj0JhjD5NEK8/0e+q2EltbU6pqd31jiyKdH/4sY7TgRqFDzkW6bP529xg5MeoIPrdWAeuQO9TN+KBkSike6NN9cyXI22+HfH/Q5PBZStw0XHIusgs+PWvzdYsT52xRzhTSz87FuxfF6wuKdlnG/Q9gCHuxSTFc0W9a+scSkmYRP9Ni80+ww4Yl0k7cieMS+E0bzzhFEEte3CcKEft+j7waBeZRoXF+jgphtusPu0YjGmphdi9TedJKEiw3J+bLFbttFXTe+PoDb+j6CRtumx4Ptns/pJWtdtmViBH4j7e5yIQw5W1PYicMh6861VDfdMTHkygFd8z7FBZ/KkMvlPYV1IbbJIxXsZkyzLtn6wjJHPzV8yxDcFTiNiPG3qpzrzaMuro9CLFsOucUm275T5tgHh286V0YJY29VmS1mUJdiEIJZkWH8SI2VyQzdl9r0nm9xdjCPPBZSwUEnGicytEsWQtgkCwmlTsjI61Vm9xRYbWl8bTEiLfqmy8y5HsiYeeExernF/q/NYUcJM8M5grciZCRYwaW1GtH3ZoPSjM/pn+ilOnTnrC6kSRiJFht2NbnV8flyh3w5IFsJqPY7LG3OrgvletWQgTONVNYjYK7oMSdt5HyCSBKUMggPkiM31ykNpOJSkKH3fIe7l2a5dF+RS/u6bpKM9J9r4jQjZkOLRqzpP1pnZSRDWsT4zn7Lj50DN5kr4cj11LKMEg78/RxeNUQAgSWxWzEv//IYoiTZ7lrM+zGbr9T6CS1yIqFgKWbzgrHViKFTdYIg5LsDCR8VipWOWGdHzvVEFFqa1T6I5mMmheaIm9BWNsX5NgaBSSRxAroesJKD/usi3N2X26x4Dvr8epf8ihO3/dtllsc94hMhG7seKQNnTKo5GbAlIpHM5Q3OckInEozk1iqmK8lbQwn3LivkhYg+mZBIQbXc4cyuCLeRgzWjqUiLop4caHExk8daBL14a9YNYC4f86cPNgiV4fdeKFBqK6ajDByPefGRDsMVm2Obr31MBQ2/PGQx4gpOLGvuUXnsXMT+guFwXdKOi0x7AX5XwlQpprup6d1jUWtLhJJ0IkOvFpSk4q3BhEuliOGKzTOT1+5hBy6ne0K6OoZzvTZaSD47onllNeFkM33mWqSaoFlf0ne+Qc+FFjN7C3RyVxYAQatt84memOdW2jzRp4kSw1ayNDuCDxZc/qqheHZSYK3JtRvbNAUNlrl5gRCx4a5n5mmWrDWBsaBc9dirwa2FqDChYST55Q5+IOnPCT7QLZmrS0a0Zt8z81zeXWB1k8d4t+SneiVLHcOkslBhgu6kXQCaHcX2LsFvjmomXMnJsuYn3NxN47kTlGZaDJxtcmF/8aoGZ0t5juxqwILKXC0ovei4TMw22PH8Esubs2DSHgD1Hptmzw+/WP4gqPmaR4qa/zAf4Cdp2PhzoxbvrMKDzsa1tTaGoN2x+FDJ5psrbVTiMOtowsEWBy86vLFF8US3YsQR/NMxm//9fMDSLRwzR8JvjFiMu4KP92qeXA55bjnhDqIxV1HUMOgI+mxJv51Wmy8HhnJoGHEEYQI75HpWoNbW3JtXbMsIPjti8W4VHpD5O3beVJBgt2PaBX1tQTOG3EpA/9kmXi3k5GN9JFpSa9tMYN9W2xUnimyQQYaGpunQMKAwCAMZozigbPihp4mg0XZwjWb/jcUJSaUzVt3FBBaH1M1Fcu8IazrlgbNNei62ULGhnrOoS4tN362QXQ2YerAXowS955sMnaozVSrg+B0mp5v0n22kxaBvg8kjFeoFC3Ey4CZ7KwSzymPTiQYDm+s3/YaBqQYiMUSX4qurTEcpVlua3U8t0u61OJO7QgZc6YusiGpA7cpklKxaNr0LNXovNSlvyuGGHvmyj9OKSepxeqZI+88OzLc5v7eAeTNcl1Xta81MW9Fzyeeur85x+UCB8/eUSN6L9U8MQ6cbbHqzwvJEhqkHb52EoYKEvukmA2cb5MoBRkEjY9MSktGzq2x+vcLSZJZav0PfdJPigk+t5HCpmCE+H6EuJVefk5EylcO2bn7sV4cmBIuhS7YcMPxSld7zLU492nvVtskoYdPRVWZ7sqjjMauWzeCZJlNhctsC0Tfix86B2wh90020n3BRZogXE0wi2N6q0T3nEwzYbHc1LxKzP6+43IbdlkMQdRhRFtNdMbtXOhSPhTw7atEdRdi+IX9u/T2mu9MMxraK6bRiJpSk5SQ0lWSoFmK1Ijp5SVdHYqKEZlbQWatPp4KEwmKHsmdtOF+WbRe/GtBYlMjbFPCuuYYIgaugTyuEkVwqxNidiCAU9ChBv21oJxbHBg3Nkxr7BZ+9A5qVgsO0DMkGgsOD6QR7oCj5QI/in58zLGcMp3tDdi3d3qpecd4GqhbPbkv4t4ea/P4LOTSC86WIi6UI2Vy/A/ulIYuMFKxUHB52PMJYcXp5iI/3XuRwPUqrbzsOtbVb2wI+kZHM+Iq+C410Z9Wl2GbZvDPYpq+VkKmtd1AEgiTMcTobU/UUH+hWKaOV0/zBOZ/lMHXepICxxKKw0MHUDcPH60w/dC1+VfcVIyXNLw4q7ipI3i1rJhyLVscw3i3pERZ/uT9mqBnSU3UY3+9woS44sMEOf/TtKvlyQGYhuClDLLcSEDqSZlPTK1uY0KATRbclaRgL3YkpLvggYWU8A5HFPfmItysCoSSjb1Xon27y+idHCGOBm2jG3ZC5FZuHfgjxr0gM40dXGT1Ro+FY3POVWS7dU2R6dw8/ceYEs70Z9NvXxeDWdvy9Zzo4q+mkFcbg+jFv/szQTQJspxExeaTC+Xu68PM/mjBWO5AMZRWHipITTcNvj1lMN2A/uXWszp2g7iu2Xg3JpqzuspXnmS2pAP6RkuLkSpqp94Vx+MPznXUV2WFN1D9mYSFYqrjs8xQ/293h3nzI3y+l1fszElwlON9OuOTf7NXdX5T8wmCafV0LU22mjWBnHjKWwdOGoytwSNtY7ZjJwxXOPtBNgKTHaH5n3OZk3bCHHPZtWmNdDxUm3P3kHJlqSGRL6r0OrS6Lrjk/1UGVbLKzAWPFKhcO3kaRvQESIyjhUrrWAe1Hho36bF5BGGv6fwidmwoTRk7UGDjbwGrHVEou53NZxHwMCwCG2dhh6I0GTi3i/MFutr20zMXhPPqNgFhKVgKbye9UWN6U3XAxdxoRY29V6bnYYiqfR0cbG/1QKsodm+3PL1F4+Jq2TkZreuNiBnlxfVx8yXEJ/YAl38U6/97dIBIhqMY2w69WKW9KbWr/dIvVLhtxav1xc3EGjm28uTdCUMajuRrSf7hO90WfC/d2sTzukeibn0F2JWDry8t4tZCFrMf4q1XmtuZuCj3bzdRu9FxsE9mSxZxL2bFgNsLEa/Im45CRMV7cYexCm3KPy1ImjzwdATHqHzDpmtqm3bTom/Y5sDTLpXu7uLi/i+GTdUggOJ860E2lkbU2/WcazO0q3PH1/z/nwH3t+ZMDwL8FPgAsA//HJ96/649vcewjwL8GdgKngd/7xPt3vfAD3dCkpSvmShmit2JAgoC21GQvdKjsdZhc26XdlZfMremH/FAyaWvOdMdkZiJWBz0O47NZalbbCXbl2qRra8PlYozTVAgM1SBiVEk6ylCxDWYVuuZ9ljJZBudDAmGQnsKY9Bql2TaxlojLt2a2mspGlG//U+tOQhwLbCHotUAkgpmCQYUJ0k9QiWSLp5hpK6b6QlrKoWe2TRJoLmQznOtpk2tZmN402eJj/ZoBSzLhCk5h8b3JhF1La48Vw5ujIVYkGFtVFH3BQj7hTx9s0F+zeHHIITCC10brPL3L5+PveHx3S4eRisWz49c4xHvXqpwvrDjssq/pWt5dHuGzY5IJD87foIHdkkl3SJPSZvTEEpEjmd/Zzd2ux5e9BnfNWXxr9GaeUhpJ1ZP0WoIP9ypOLCse77H4x2OGfzHdYXNGsuTDgUqCTAzLxmLgWI3zD5Suo8cFbd/isS6bl1djDtqpMxQbgYwVj2Y8XuivkKwICkmGHdk0s/NGNiG73GH8eJWL3Rm2vr2K0wivY/rSxJmGa9FREtlOyFUC2l2KdgLbtENhxkcYKJ5uwwcNDV9R8BR2IkFBz6U2mcWArtk2qyMZFqoO2Uix/4fQ+NitiB0vlvGqIVO9efTbIa1EM/xqlYF3m8y3BqmvarwbikQESjHbVnBp7Q/GMBxG7H5m8f9l772D7LruO8/PufnFzjkBjZxBMIGkKBJKliwLtC3bM66d8TjIO1p71vZscO3M1MyuZ2q2Zr0qp7XHHtOWZFu2aNmyKJikmEGCJAiSAJHRABqNBjrHl999N5/94zW60ehuoEGCErzebxUK1ffdeO6553zPL3x/nPhi+/zkpTkh21+eRC+GbB9zOLW/DS9xJ4YuQcXV+Hy9yaP1IeMV2BQmlohl3+y5Y4WAfKs1n2Ty2XqDP77OJQvwaL1KKZBsVy0KJZXelOSXOyW/NeThRlXR0SZD8DMdGm4ASiXGJsPEC0Etaay1HH6xw6MYSbxQICXUN8MfDHv0XyeJsT4u+GKrxolZwcN6krrrCYpf/SdlyANzm9e9m6FxoEyh0WBiS5qcreOIgDbXJL1aHSwpWX8kQwRcDuLEKwGEEjPjMpM28VUdcT7CCzW6j2SZ3JTESX80cWS3QmrKodRoLutq09xq3/wwGZE14xU2HJ5FIhiPxQgLIaIPxDL9fsSJ0X7BYdfEODNtMfzTPsqc5TKjG9ROluh+P8fggwuLw2vErflSiVKtwaW6FFrf8qUGryGnG8SyDj928jAt+WnitkesGICUBFfCpVmMc6Xe9InVVGOtImMY9F4pk5x1KdcZNF4tM5yIwaoqui5GRdMZtjXqRj3WFWZYbwmmexPMdscx7JBEtur2TE+5zDRZjEZxjIsRJWep61kJIra+Ok0o4XI6iRj0Ef61e7ruyYXAlhr27NzfExKFkDu1WoiEYDKMkZj1aDuSp+GqjeFEDNVVxeqv3UNe0Wk6UfyHTeCAvwJC4DGgB/jagYN9I/v3bfnu9TsdONjXCnwP+E3gS8A/B545cLBvy/59W4ZZJepHKpjlAK8QLerMFUUlPewwEdTSHYPemCChQcdc+q8bKKy3NE40uih+xJhhcTVd5p/UGoxNSdZcd64r9QFGCGcbqtmfWT+kS1XxdCgkJHZRI3nFYbo3SbwkmYkJag0N/RqBG62QTRow+sE7VCAkZVOiBRKQNMxZ4K7URxBAOuPhtmhssHTeKHqM1VTIGTE6Cz5OnYKcCBm4L0BxqyuczzSqlANJnarzYDrgUlbj/U4X+a6Fo8FTe2wG6wMqGkgloqaiEKjQnq2St0JcRUiokOBbu0o0lAVnWn3qcgsxNwkVfrRF43xW4WFjcVCy7ZtIT2d/o8HvDS+eMDclBFO2YHuoEs/6qE7IFa+B++I6T+oCGeoIobA+LvjRZo1vTQQMXWfN+MlWjSFbcr8WJ19W2JaO+OnWEEsTFB2F2nGHQsogP6HQnCnSdLnE1IYFd0exokJk0BrIRcH/tqvxqZTF02WVpiIkd+uMO7DthmQaEUo2vTnLdHOM4ExE4Arqh23GtyzoCyUyPrbQkELiSYXEuMtEU5p0lEAoCukpl3zKoHG0THrGpdBsgtTpVVWsgk8851FxBW3HC+Q64gSRILVMRZKbIZb3ae0v0nKpTDmhMSjj6GeDqiafamAXdVJ+yKs7d7L3+Fu3PqEQjOsxeq6W2XBohvOfaEIJJdtencJXFIY9nTXjZXY8M8GpJ9rwl3F/zUNKzHJIatolNeOieRETG1IUmxcz5aKjsa5O4WAuoNtLkr6Z6KeUpKY96kds6kcqJLIeIpK8/0Q75XqTnK3zWK3P8bLPe/lqfzKVatLA5axG9xwpKpYsdqQl/663OtfEFUDA5bKkqZKkzVi4B4kAJ4bpxBZx/JRw+bVuwW8PuVyyJU2G4Gc7dM5m4WE9tWKmsBBVe0LdiE39kE3JV2k6WWJiS5qKp1J7Ex2seN5DiRZPyi2XStQP2VxKptBzPmU0mI9QWXChlTSdurzL+kMznPl86yLSsVhI9qNBS3+JDYdnGLy3jtHtN+h0ScnWV6dRoogTP9y29D7m3KHxnE+sFGDNmU6LjQalRhO7RqfzTJ7W/hLjrQnswQilEN50+g8VhZEgRqrsk5lQ0YLr2lUIJhWLzndy2PU6iYxP7YRDPOdRqDMZqEuhXvRRo+DWbSYEI0aSbDxJ63RIGUEBAz8QKMXbJ1jLwVdUyrZC59EcE9vT1Zi0XPSBJS6kEGQCk0xGktQC4r5Dc18RN6lRMnUKQmM6qaOcCTDmSOKUEWPtYJnWS0UmNqTnFRlUL2K0bKLfIqzn+4Fr1riGqy6VTg3Zv9iVnNMM1o6UMYs+7pyXoXG4zHjzyue8qwjcgYN9O6kSt679+7aMA8cOHOzbC/xL4Ls37P4EML5/35b/NHfsSeCLwI8Af7jaa3aeKTDREEc5s9gdYasa7TMOvitoSgser1cZs2HLXOaW6yt0JTWebou4pCXJX3GxN0dsjOkMDy/+MC43BNTYOl6dhpARk2HAlkigK4LJRJUspkarZc5iRZ+RONQYKgmhVKVDRisMW3G4qczlzVEyq8StkhAgIKUJdCnIxyS2UElcdShtSLHWUlAilUJCMlgfsHFIwY5r5PMRmXhEqAqajWppl/MzGmGtzv3JgKemdUbTNmdaPJ7f6iKkQDhJ+toVkCGdMqC9pHCoTaVwXY1NNdSYNE3+/H6HjVMar1+nPP2FJo2CJ9m+QrmYXNngoVqXb+jeIt2mTQmFfFklNeOCAsZMgDYT0LFGIe2keaWn2vF/vEUjKRR+fY3JNyY8juQi7k9XkzxmMha6qSIl2CWLz9RFTIQBVysaNRMF8pqOFBE5dNqOFhYROIkA16TrBi5QdhXW1ak0BwnONET8aq3G1ay2pIpB98kcqheRywo0CbamkRxwYcvCPsmMR161AImjqMTGPOROgTqXHZuecskZBonQof5imUKzBZ5JTIH6kQJ2UqMwLmjvt+l3wjkx5RUwR4YMO8CcS/KpH7bn40SGUnHklQC9srh/SiGYDmOc6Fy3OgI3d8yYiNF1okSp2SA95aE6EcO2iZ6NGBVxOoZstj87wekfaV3WYhLL+2x7ZQqr6OObKoWYDrZk17lxCh0mo9vSZLriSEUQRoJczqTb1Vckb4of0TxYpu18kXjeJ582mFFNJk2dNRcLNJ8tMfioiRsoaBWT/75dkvErDNjwSK2KE0q2KAv0S0pBuRAjpggmXImnKNQIhR2oCGN1FqCiY1JHtSzPH496fL5JY8SG3SJ5S5kX1Y9YfyTDaGsC5ZhHT8HGKPl4yeWfX4SS3vcytJwvkxQvINUSubUm8ZzPunezXGlJop/wlz32ekwYcdb0lWnYUWa2JwmRpP1CkZ73cxRaTC482njHNMGuR3rCYd2RWfKmQddbWcY3pRbFV9WNVkhmXIzZgIYhm9mexfGPrRdL9L6XwbY0HE3DFgqaE1I7UabTy6MJiZ3W6a9Lo53w5i1pt4IUgoJrIbZEzAAAIABJREFUoC2TaljWdNyCS+/bGbK1JlPCIDJ16I9Q5e2RkUBROLBzL+1/fxEziACJsqRU/IdDxrBoP1dGVSFTa6FM3IGTCkEp1CnNwAw6ZK79cI0cLrTBNdfzmteyTPckae0vUT9SoT+Rwpi6dd/8fiESgunAgitL36CnqnhlQeu5IsN7aul9L0vNcMTpe1c+311F4KiSt9Nz5O0a3gD+x2X2rQPmnWf7922RBw72OdxGaGtqyiE17TJuJdCv69ASyeU66JkKSEw66I0KO1MKfbML8guRFDQKHT8Z4agKV+t9GnWFSkHScVosejuDDQGKX13WCqkwY4BqS9KKymSyShbbph1EJLGKAeNxSVpVaEIjOeuhOyEUb07eCmZEyhUrltwpWBEScBIqChATglpVkFMleU0lNeySCWrojlXPEUmdk22S3ZMxwhmFwYZqIe6jDSpfata4WpbcZ8SxPVhbq1CjCiY1la/utdk4aXKi3mSsdi56QGiMpjRGV4jJNTyLcSuiS+rzGlgb4oJ7axT6p/UVU/fdQKU50vhcg8ZfTlRXxQ16tdiztDVS0w6FhAF+QPy8g7rWZH1c5VxJ8lCdSkoVuHmTdELl51sFvTGPLUmV8zmFR8wFq5gfKhiVGHGzTFckSM24zM5lsGZ1k97hEolZ95bB90GkoEcqH08bTFnV/rZeWXxMatql82yBS40ptKvVZ7JVbZFWku5UyRRq1czvKiqJ6QUrpBJEJGddZkydkqZRO1CBjy1co36kQsay8NQQWazQer7IyO4b5PfnUDNeYc3xHKlpFwS4uoqnV0nRdDyFciEAEd601NPtwlNUJn2T3tcyOC06A0occ6La/6UQjMk4nYNldjw3ydnPNC9ypxp2wLaXJynGdcaLOnJEcu1jLIcmqShk49gMM1sT9M/FFfphNZFkObReKLLm/RyRCpOpGBPCQFwMQVTvJ6cZNPWVGPxYfdXy6OqkVcmvdEn+76suj9erDOZVum4gh5EUpMPYitddDYqOST3wS53Qb4e0uUkSq3B99hzPESoCZzBCVVUCG1rPlxi6b2l8mu6EbH59Givvc6GhljNmD198+VWcdh01kMw0WnCqWk3mVvAVhayrs+7VDM4TBuveyRDPeQzXx+noK3HP7Dh9n2qidAeTWKyiXxVabUvgngio9QI6zhQYvmeuv0vJmuM5JhrjpK/YrHkjw2x3fN6ypVdC1ryf40pzCk5diwmTeCjYKMxKDV2E+GUVrXJzd+btYsRMwISEKYUFd+Ty5+9v9CmZkntGP2D9qg8JW1UJi5K6oQoDTWkEt46fu9PI6AY10yW2vDxFzazLQGsK4+TdQ95Wg5xu0HqySMO4gwglF2tbbrr/3UbgeoErN2wbA6wDB/vS+/dtKVy3/SXgPx842PfPgL8G/hmwHnjhZhfwIw1FVh+77XSJqYY40UUFV1tY+b3f4fCdnWXu+xsdayjA2RhDI6BRxvDDhSZLBxaaoTCZElxqkKxP6EyMKbRdN1i7qmSoTmKVTFSpQyTIxASyEFFfozORUsibFl1lG3M2wChEjLZCWqooWNQMZcilLNyr+opvSyL53cdyPHbJ5MGh5QPQM3GJEWjENJMwUhBSpV2zmKDMWFpj05RH2dFoTirUKhp+aHC6NWLWioMNF9eViDsWW5MWG+IKV2diRLqB7UmaIp97kyavFiFmhxzsMPAMFfUmi7zdaUFShTezczuFBu91giqr2Z4/2VIlUrv1VLXA8Q3v8Nr/mbLFp+pCmk2Vel2QUGHKk3QQJzFZJKuZYIQkrnrkvSTbLIvhcsBnG1QuZTXu05IUKmD4JvtSJQa8gM2kF71ngJytIW2NjmmXCAV3BtB0XKBYcmk5XuLCvltnLhYrBg+nQqajgOGCxk4Rm9fXEqGk93CWseYkQR8Ec7IiWaHQnMsjihIvrpOc8QhVBXdWQ2oKRSlpyTrz95yedpBS4M1CxoyxbqqILENgVeUZUhMu46la0EOmozhNx0sMbm9YNPmkpxzWnsxSM11hvCnBkBVDGZ+LEb0e+s0nDHfuGdxlJFJudVxYUchhwQi4NwQyD0iNzqtldn1ngjOfbKXQbKG5IVtfnKFsGEyN6ShFFn0zrqZTrkAx8Ol+t8ilHQ148ZXvq/NcjjUnclxuTRNcDhFjc+1zXYH3GUWlaTZHfNIn31T99maLKk1pwa/3CDKBZF2UXNKf7hQyZQ3T0zEqEQ2adUutttS0Q8v5Eucb61DsgECHWTNO/RmbgXuaFu2bzLhsf30Sx1C5KGsIryoc/txWtp0/TttwCbVeZSpvoirRqiXhx1SNDZN5dn93nKmWOFdFLdqFkAGZpnXMZsd3Jri8t4FivUmkCKQqcOPaEne54kd09eXpuFDASWoUG0wKjSblWgPfVPFNBRHB5ldmyKYtcgMKimYyHkk6juS5urmO0FBpulLCKIbMEqcUS7JxNE/9pQqTvdU4pHVHM5RiOs4AiBX6sAvVGMMf0GwqkXx3e5nxmoDmokWjvbitPug3eLuYkAmaXRdvHPiIr7UShkWKnotlBnfU4p+WP7D7+KCYVlQaMjlmexLMTOgEmZvvf7cRuCTXWdXmULrut3kCt3/flmMHDvb9IfAXwJ9TXZr82f59W/pudoEXR/YRhiH15SKb+p/na3s/zdTmBeuDRHKi9kVsrcAz9/ZQNxJwebSD+liJd4a3LTrXxvox6tIFnvyhz5KPvc3PWzleM36K/BcWMhyz+gRD6bfZqz3BPkfBVWzs+F8zU66jO9XEiS1tFLrv4efffpEzZ3upHz/Nha3wgNjK04MP8S/6Xubtlk7e+cLmFZ/JVWxO1z/LQEea93OfWdYaMm4NMGld5gvBPSS9fgYclUeCNQyph/mjz+zm377yHi+cfZwfvu8k+8UWTtllLvWc4A+/8CMIBMfqnqPT3sKXG2cYmmzkwsRariUZ3e9d4lOGi1baBkloiQBn5XfQnMjz6ZZTCCTt+V1M24tjUu5rG6A9nOXY1Xu5Kld2qTw79GlAsrVxhFAqXPIsyr5F0bU4Gimsu/pdDux4EOXxiM+fPcrh8e3stipsqDVJOAVGR/Ywcl1bqXNWlfAm13z84imKVgt/+9CCSat3ZpwfO/k23+v8JO4yhKY9N0tnboZ312yixiyzf9NROqXg2wMPctlfsDbsHexjfDbkyUc+i7f+uoFHSn750DOcPrmLvrZuHrhyAV+t4xs/8gkAaiplvvzGc7x4YR+2abF38DyhVstffnrf/LHnju/iXFs3myeGafcj/mjHF2CnIO45/PKhZ3nv5AOM1lYtUg9cucCG/tO8076Tw/dsoRC7HUmN5fG1z/30Bz94BReCkJLH+k9z/4F+Tm/awPbxIc7LXp669zH8rTcZ2qTkn7/7KtNvNnJw465ld9k7eJ71A2f5/d0/zmBja3VpuQJ+4vib5I4leHnzPfPbFBHxse7zjOQbuZJrBilpLWSZSK9cYufD4r1b/N5cyPLFk4d5vmEvL266FzZVt6ccm1869CxvnX6I6VTt/LafPfIyrzXdy4tb9iyqDvHk5/+7D3WfTcUcKbfC5cal1eK3jg+x792TNAQBehSABITPUF0T51s66W/uoHdmgkcvncFR6/iLtQ9hBj7tExnaLmbpsEtU2VTVXXUpuZZv3L8Pf9NclY0o4hfefpHJN7o4vHYLv/D2i/xd6zYOr9sKwEOX+9h5+AoH+CE6crNsOPs6v7/3CaZ3LG+hvhtQUrOcrHuZtN/E//Fjgm2Fjy87B3yob3CV0MKA4COoUnE7qC8XyMRTsOb7E/MWETKYOImnOGwu7kXcZvTfuDWAFSao81sB0MKQQFVhPaiqyp6bHCukvLO+8A+DAwf7vgKs379vy49et20XcAKI79+3pXLd9l8EvgL8a+A41WH+t4F/v3/flt+58dy/+eQLNUCuceI/YYoy647Okpx0mLysc71Z+mKTx1/tKXKuSfL1v7HYGUa8+eW1SCERN4jpmFrIU+oQLS8q9G0t80t+ktq/NRdpJ7200eZsc8DbbdUVnUTywOw0v+Wk+I0HVMZPu/yHV1J02iXcjQapUoVf+5TPvc3NbPFqeOjbQ1xI1MDIygGnfc0eT+0pcr5R8n89m2JNdqkL4pUNNsfbQuTGNJ9rVNltWPzltMufO9P86psWv3rM5vxPtKI+ZPCNaYdvz7hgZnnyW7UgBF/Zl6VRqeHH9phMzyTovK5mZ9wI0JI2X+pzb6lXVaPBr61VGSwqfCZlcVlW+I8DQVVXB1gXh1/sUjk3bXKvsTxx8CONZ4c+zee7X0JfQTclnvN44JlhLkZJRBa2OVmO/etu/NaAqSjg3JTBHuP2tc72PDfKDAbewHUbpWSTnWPo0w0M3tuwaH8liLjv2VHiBY9D/3QtkS7obrR5o+TQ7dTNf+xW0ef+Z0a41FSD7FumJmW5SG53nIufbWXzW1OEuYjiZXX++jsKGY7/bCcznUm2H5zArijYA9V+3WmXKG23OP/5Nja/NYXMR+QHFvpyT7lAYU+Cvk+3sO5Yhvb+Av0ttXDmw7uEXE3na5/7aX7ue9/EDD4ad0ad79CccKm0mAz48VVl0KV9l9aYw1u/sJbwhrizntNZus/k6G+ugXO3jjut9Vwaki6Hf7F3RTHR2vEKu14e5+rOWq7sunnZBN0JWXdsFs9SybXGyDVbt9bEuhmkpL2/yLqjs0w1x5gd1dAKiz/UdcU8Ex+vYeBjTdUC5y+NEUaCyTENUak+0/fjXS5375YMiNdLUvjEohDfUhlqTOJclag3VIsSUYSmSjRTQgwqUoXc4ndS47m0JFwGH22g+2yOi34Cdc7SoUjJJjfHxc830z5QJBszKJ37aBMsPiye2VpmsC7gUHscQyvw668l2DW+MD7f6r0NNPjU2wp1lTsff/j/dWRjId/cU6RkSEbSkk/1G+w/t/p5JVAk/+WTWVqLCl86snSRYCdS9P2b3wGo/fVf/KH8jb/fbRa4ceATN2zrBGauJ29z+B+A396/b8tX5/4+fuBgXzfVbNQlBO4adCVAVwLqp21mpI55g4bO22vKdGZ03unwuVoT8fAVj1TFndOeWrxvJCUtqsr5XhsrLqhckbSGIdeSDSSS/iYHwzMIhT+/LWNJtImANl3jghlgBj6eEDSNlinVgR+DQFVomigRxATWlQryJqx+KuVSV1IpN0te3lDhlw8vUztS91EDgVBD/KhacqpBj6AimY0HuEKhZsgm94DBWksSEVLR4EpDBT1SSLkQ26gw6Up6DQUhFtoiCCXNGvQmfM7fpPyeJuBfdOlMuxFbZYyirbKxVuVzzR5PT1UrF/xUu0FfIeJBS190jRXfpbr8PvWzZdy4WtUyEgLfh/SATdCpcyQbcb9loNzi/Evu3w1JZx1mTXUuGHgB06rJ2ndmyfWalBoXBs+uMzm0MESf9GkdKzDdmyRT1GnywVAjIKoWNH5vikK9jnHGBrn0/blC0DhqM6gG1GQdpqSxaDD2hEJqrEK+26RuukLRis/3bVcIWoZKXMancazMcCy+6NiiqtF2oYAWq2bbDdQlMU/eufqEAGbgf2STvi1UxkomviJIltxVHeMi0HIBa/qyDO1ZGDg7zuTpOZNjoCmNeeomZuTr4AhBIuvRPHVNSf0GSMm607OUEhrr3pyh3KyRW6FouGEHbH9pilBAWILO01lUXZBvNsm1WeTaLEoN5hJV92Uxl3yy9liWupEKV9uScNInIZcS3JKm0dZXYOjjtfQeyxKzfQY9C6u49Bv5KN/lcpBAeUZQljoGCn6thjLmsaJaYQSRD5TAXCYWyxECJRew/tgMV9tTxE8vfpZcpLPp0DRuo0Ylp2Hejoryh4CtRww0hGyf0FYdUxookjNtFdKFGFJAUTX5yz1ldjyrEAsWn2O592brEd/cU8Ty4dcOpUh4i8ceT5XkrYim8p0ld74iudwQsHF69c96t+FCk88399g0ljQyZozhuOTp7SXWZiT3jayumsTFVh9XCznSFfCltz3McHFbhCto/F3D3VV4rBrXtmNOC+4aPgW8vMy+y43ULktdsEugBBGJrEd0wxlGagIGGgKmDB1FCq7UKASeoG74hgLD81ZLQR065QZJr6JhDC9u/MsNIdPJkPHrsi6rorMKIhfQratkEyGBkFQUFc0JyVmCtK6jSKUabB43b0reAEZrQtRARfctDq/xsfWlA3TRqgZzxxQIIkEQChp1gRIpTCUiKqpGeszBDQTr40q1RFakcbK1mkWbtHU2J9VqdYMbstwkgiDQ2JtaOR4qpsBPtWrEFUg4MdKajkRgl01+vNGky4InmjWCCHrD5QuYQ1UTrG7MJubdfKJOT7sUTGN+5WyrOsmLDk5FJ+XpqyrI3nDVxiwtfEA1ky6RLmB06UdV1nTsgsKml2ZQ5sidVfDpOl1gOB2n7GnU9VX7kRso1IgFK2nT5TKpKZeZkrYseYO5TNSsi1n0iRV8pLt4UnEVhfikRzzno3khSmbhHkuajpUPaD9fQPMjmFxsVSqrGqIUkZ5yuGwm0fv+YQX+QjXxQZZuYzgTglnVpP29/Pz7aukv0XM8x+WWFOrp1beBFIJSpNF0qrTs73VjDslZl8nAJFdU2fLC9KJ+dQ1W0Wfn85N4msLEjE5mXONqJsb4pIY/FlF3ssTOv5/goaeGWHdkFsVf+p0bdkDP+1m2vzTJg389wv3fHiGW9RiIJeFEMF+z8UYUNJ14xmP9kQytF4pciSUwxu+MzMQdgxB4QkMusUPc/nmmVAvXV/CGlj5jVjcIi5LRdBxt5vvnoXp9ncufPVDmW7ttAmV11+1rDgiF5FRTte/rnsFAneTvt65uAXZkjUfME5xoETz5YJlALFw3b0X810dK/OYnCvzpg0WGau9MYoJE8je7bf5kb4kjPatbcN1tOLzG5esPlOmaMXmryeJSo4oaasxoFk/udRmtWV1bHe/06MgYTCUEfS3erQ+4AXeVBW7/vi2nDhzsew/4+oGDff8OeAj4JWAfwIGDfeuByf37thSBp4DfOHCwbxB4H9gO/E/Av7nVdRJZHyFBTAWLyNGhdS6d14RkI4WppMRWVRJXXKiGSKC5Ibu+N4EXUxnZXkNqrYZpQteUoKNvcXO+2evSntV5Yc3i7XlDISwE7DYM8nHJ2RaPXeMG2JAxJXWGhomgdrzCkJXgVvIhYzUhODpKqDIdU3hjrcsPXVwsvVE0IwKhE1MhjKq1IOt0gZAKs/GQiqrTOFvBKQtamgW9MTgfqpxvCmipROihRU9MMGxry5aWsV2Fe1MaX5+odsImQ/BDjSrtZvU6hoBKJBmZNbnnuhqTjq/SEOj8SpeJVCT90zprb8g6jeU8uk8XSM64VfIiBVN1J2Hjym2SnnaZFCbXsrdsVaVuzOF8WadXu3WmVs24w5bXpggVwYXHm8h0xakZd8glDIiWJwoTRoy1QyXWHM1y+cF6et/Lkq8zUM76FDWNhivlKvm/zh2j+BG9x7KMNCXQTq38nj2hICvQ0VdASAnTIZNJyVN7bP7VG0kcRSU145GedqkkNKJB5iMDIiFwAoXuoznytcacIvx1EIKrRoJoRqDb//DI2wdFXjNominScrGEm9RYf2SWwY4UyjL1DW95Lt2gub9M/6ejxcrxslqhYqIxjnomZMawsKZstr4wxcknWok0pZo1POOx+Y0ZCkmd7LBAvebiFIIKOpU5F9+s1ImbAQ3FErUjFS483kSp0ZwrK1TNmLXjGjlFJ6PHEZUQeSlCu0VWYCQEpVCj9XSBK+tq0N/37pjbMBCSqVREe+HucdGVNZ1yQUddRk5DCsEVLQlnP7hs00ooGRFmINCjxW0bCMmxLp/agsmzm3wmkyV+7t0EKe/mi5Kj3R6NBYPjc3OMQBCGCb67vcTOcY3N0yuPdb4ieXOtS10hRgWNt3pKtBZt/smJOBOpiK89WCbpKJSiFO+2u5xoL7FnROPRyxbrZtUPbDk7uMHlfHOADGL86YMO7TmVnvw/nGSDg+sdXtro0DuZ4Dsb1UXGBiOwuJoI+f1HbH76uEWoQKCAEcKOMX1RmUtbjzjf4pPKJ4kkHFoTsXvs9u7lriJwc/gJ4E+BN4EJ4Of279tyeO63fuDngK/v37fldw8c7AP436gK/g4Dv7F/35Y/vtUFkjMudkJDTi00fDYWcarNpz5ftf4IKZiNS2xVo2ZsbpUgJRvfmiVCIMdCtgxN4u3VeX4D1E4tvsZMPORci09tbmkcV9EQ+MWIGilIaAbPbw7YNWFSESozekRKVekpRGh+hFIKiBAEQjJcF7I2s/iVFcyIghnhK1X5DyU0eW6zx2cuykUfWNGS+IHAUgRRJAgiQa0hEJEgF49wFBW1EpKa9qBe5/Fanf6pgJF6Bz0LPQkNJ4J1N5AfEUmkIrA9lc46QbsJu1MqjzWojNgSxzbISEFCUahH4x5raZfLlA26a0JeyHg8YC4mniKUbD40g49gQjGRhoE2HrHVHeaqrSNTy6iqOyGxvE9kLNxrWdVoL1SI5f35Mk2Ng2W6T+Y5+8lm3NTCfSl+xIa3ZxlrSxA/6bD1uUlG7q2hbrzCpLpACm+EFIJxYnQeySHVKgHvt1LoUUBJ02nPVaqWweYF83rz5TIS8C8FK9awrTaEoKxoNJ8tUZnru1d6XIbqAsbTAalZlcZchZoJZ87yuPjwkqZTUwzJNejL3r+vqNXafh8SEknZkCRvMfHcDZBCkBEG3YezqBYMtafg/Q8W91dWNbSCTcOQzXTvQgxM/UiFRM5nXOhoVMn7mBan53KJXc9OIIBYwUdEkunWOLkBiXqT9yCFoOzp2K5GU8Vl99PjDN9TQ+2EQ6zgc6UxiTzvo3gSCOfoyerexYxhYWmS8LS/6mLaq8ELmx0OrXP4X15N0WTfjVPOR4+ZeMhr613e7/S4d0Tni6cWzwsXmgNcLWLCNMhoJm93lckkSvzLwwnaissT36IZcaHJJ11YfC411JjRTX734zY/ejrk45eXb/OjXdXF9rFmBSEVbJHgwNYiirQ50x7QkdF5u8VkNqkCGqHw8Ts8TnSUaS7B7jGDe0aMFYn5yXaPyVTEw4PG/HhwptXnpY0OndMJnl+v4xsRv/+ozX94KUXK/ejHjNOtPmfbfPJWRD4WUTYk+/pNHhswb0lIJZLnNzu81evSOZ3guxvUZT1Fmh/nfH2Zp3Y76FFVvD8Xi/jiqYhHBxfG/pPtPnFP4WirQPM1TnRUkFi3RYzvuq9p/74tY8DnVvhN3PD37wK/e7vXSM16FG7QZXqj16WppHKos9oZRaSQjYfYqkFzpozqhrRdLJGedBjQk+izAflIpem4T0+3Qnp4cSd+q9ejpaDxWufSzh0oCiUVTAfWKTGOd+Qp6iFjVpxXOsqsEYKOyRA7rhFNAgIutAT8+X0l/v0LaZL+wjlHa0KMEM7XzpUd8nUGGypcavDZMFslKhGSohkRAZZSFRINQkFKr+rSFa0IKQQVqoK+2Z40D9fofH3coxCXJD1B7QadSVvQpCx0mdYLRTrP5Dn2ox2ECPRI5X9dYzLrS87PaOzR4quqpyilIJeL8YCwlnwQnWcL6E7IqG2hzVSJR1nVKadq6To5ytDHlmpXpafdahmmsQXZi1BR8D1B3VCFSq1Baspl41szeJHC9ucmOPlE27yYbc+JHFJC6So4wqSSVWh7p4CagNA0bvp5VVSNQkmj8/08V3vTc8WgqxaOSqjScKG8QOCkpL2vyEQ6hrKMK+dG2KpGfcEnW189fiwdUtYEx9tDunPV2pYNwzZXkwluJGlFTafe8Yjy1e3vdXn0tfj8zNEPn2F6PZ7b6vDWGpcvv5Wg+4ZVddmI+OqDZXoyGp++YC2J0flBIKub1M8UGbm/huCE/4GtClIIiuh0vpPHSekUm0yQkp7jOcabYminFt5HJASjURxrVlKqN5CGDtMhcppV112UQjAVWtizHq3HCuS65soKnQo+8DO4qoqbubN69ZfrA97sdcmZKs9s9fi5o3fdlPORQVItofhmr8eJdo/WgoZZifGdbRU+3h/QVFloi3d7PJryBifWVCvUFEWS0402v/3xEr9+MLlEGgTgeIdPjaPwTuvSN2b4Ma7EVL61q0J/cx5PWexSDYXk0DqXhrzFe43XMnRVslqC720u87FLFs+v0XGuE1ZWpc5oXEciySsOGTPkpY1FfuHtGDsmFyfOlYyIv9tZwVEFL29wePiKyaYpjb++x2bdZIynN1R7uubFON8Q8uSDZX7ljSTaCi7+DwuJ5LX1Li9tdGguGFQUHT9SKBHxjT0OozUhP3kyjnFdDFo2FjGWDimZEWVTMlITcqkxoHk2yfc2aCt+JwJBECU5fd3U5Osef3FvhZ3jBjVOdU56v9OnpmTgNamoQbXU5HBNsGTcvBnu/mXyR4DkjEflulgjX5Ec7fZQXWs+XV5IQT4W4SoKoiLpPp2n50SOKw3J+SK/oaLgTZl86ckUXf0LHbiiSY52eSieiVSWaWIpyJsCWZKs13VmLcHhtR6BojBSK9FChdoZf1EM11QyxNYFJzsWu7hGa0KSjk6kzhFPqVARBs9sWdivbEokkoIpiakCZNWNaimQEIKyEeGJiIqikRpysV2FZl1ha1LgCw01UNmUUgm8hY85lvfpPZolPuVRPxcjmC3rzJZUrGKCvebqi2FXIZaQt1jep+tkjqGaxOJYFCF4d80mOk4WUL2lxCc17VYFfG+IJ7M1jdSgg1kK2PraFBMtCcamdLQhn20vTKEEEakpl/a+IsOxGNpcOaSKpjNiW0wGBmL01m6VadNi2tHxBhfvW9R06voXzCt1Yw5WycedWj7eRSI5sK3CW2uqFmBb1dDciMpcO42lIzxVcLItIhIKfihQ3QhZWNomrqoyIBMwVr3Wu90ex7o8ZmN3zk10pMfl8BoXR9H4g4/ZlIyF+wi6DHzfAAAgAElEQVQUyV/cZ+Oq8PzGgP/zUwWOdnnIO6wIf7uIhKBfTVE5HiE+5OQxbVjI2ZBdT4+z87lx1h7LESv6lG90WVON2StkNKJLEXJYIp0PNhSXVIPhQoziWfEDi1kbqg3444dK/NWeMo628D4dTfKte2x6p02GYhavbvApGndZXN1HgLIR8eZal995rMT/82iJyUREQy7BwY44R9tMJuMqT+9ciP3KWRHnm32KyoLHQCBwZZzzDSq/92iZorm43STVOStZNgn15UmxFhlMGCmOdMCJ2pc43erOf29n2nzKRsTZ+sXEUAt0ppQUT280FpG36yEQzFoxLtYkOVdr8tUHXdwbRD9f3uiSchSG9QQXUnFe6Q34bw9XEwSfW6vNj/UCgQwSHO6O+OqDJU61eUvOdStkYtFNj5FIntnm8MoGh67pOC93WRzuNHmvXedivcm4meSFDRG/92iJ4ZqAt9a6/MEjJf7LJwt86x6bFzd6vNMVMp4QxItJXlp3+4sQzdcZTil8c3eVSM/EQ4bqAmbMa65vBVfRONxze3GG/+gInOpFxAo+0XW1Ly81Bkgk77csDODXLFMIgS1UOo7nGWtLoJy6dYzQe93VwNB32leoRygFOQsoRLTrGkpo8uLGgIomqVgSIRVSUw6V62KtppMRjgavr1084Y7Whqj+4g9N9w3e7fE50l0dJApWhBQwmVCxFICqC9UUgiZNwdEgmwipqCq1kxWkhMDT2FdrYjoxMs0WSRWa5+rAikiy8a0ZsvUm5YxC88kiALan0iWTNN2snuRqISXr354l22ihnFna5hebO1ByIW3nCkt+S0+7FJWlg8+1igZbX52imDSoXKxa6MaIEe+vsOXVaTYcnmWyNYZ2dvE1Q6FQzmms5pORQlDwDZQbbq2kadRMO5il6rnb+wpMN8RQVyBwb/R6vNnr8vq66nt0FYXAAdWrEvKJdEjC1ulvqvZfR9UIFQGTy0+SoVCrxaqtiKG6oBov2Xv7gbPL4UKTz4FtFdZMxrmYTtDXoPAnD5YJhZwXGp2Nh0xrcYZiSfpqDf70/gp/8EiJivaDJXHVRdKHX/kHisKUYzGUMYmGQ1pP5JloTKBN3j1STXcSeSviqXts/usjJXwEb/RE/NZjRSaT1THqwPYKSgRHWgzUSGcyJnhp0+oye+80QiF5dYOzbILXnUI2FvGdHTb/+dMFDq1z0VwDWUnyUlecQz0LVWZ0N8YrG3wmEtXJ+miXR0NZ4b2OxWOLQBAFCU43C/7gkfL8dzKZDHl6R4WpZMhQ6ubjkSIVikoNHZVN/MneEn92f5mcFfHaepfWnMlw3VIyoggVVpHkBdUqOv318Ox1SRPTiZB3elw0J0YxrhIJgyvJFAPxBK+3mfj64rFZSIUKSY63qHzt/gr/++fyfPXB0i2TJiSSw2tcvrKvwDfuKy27GAyE5Kl7Khzr9KjPJnhug7HEUKBEKhk1ydE2wVf2lXi91yWMNMxSkhO1Kd5tTnG4NcGbHXHe6vlgcZwCgeLHeXV9wNkWlxOdPk0llffbFu5FDQze6bm9BfU/Hnv2HJJZDxRQxsL5BIazbT4NRYMT3QvNISIF24gIhKSo6eimoHIxvHmcEtWB4q21LqmyRallhRWMFGRiIHIhLW0Gmm8w0FjhbKuL0EBGKlZpoVQSwHQypKasc6YtwFPlvKl3pCZEuIvj0tRQI69WA0RHagM2TxkYgUKgqsQU8GV1wpKRUpUyCRX6mkM6CgYdxQpmOaBkqtyfVomNanQ1qUy5kl61Ssw6zhawCgFjYYy0ZtAxYNPvhne0jmFrf4lkxuOySKDKpZ1aCsG0FqPjvTyjO2rmZRVEKEnNeMyaS5M/yqpGe76C16Yzk1HQKtUPPhQKo1GcrjNl/E6dYsZAFTcf6C80+UykQx4bWF26OFStLkFZ0DhQJtMTp3bM4VIyibpMksqFJp/vbalQUzQ52ekRCImGYCCehiswm4jw1AhH0ZhNuEwlAho9DT2UXCOZJ9o9erIadZXFA9bpdp9aW+FUvcHLGzyeOHt7cRc3YjwV8pf32aybtHh6Y1UWIAoTvNlTpK1QZjR2nulWl1Q+ybmequvEVWIMx0yy3SWgzJcPJ27pPimYEenvQ5zMh0WgqmSKKhmpQzZY9WT4/cJsPORSU0B/Y8B0MuIXjiRuq11n4yFHuyq82+PRUFJoyCb53hoFhGDGsvnNT5R4fMDgRIdHTS7JVKr6ztXA4tnNFT5/Ti6SS5hMhtTbypLA/juJVza6vLSxgqvA5y6s/psFmEiFfP2BMs0lhe6sRldWpaGsIAVEAnxV8m6Px9FOj6aSSlMmwRsdAr/5mnVlMdRIY9bS+PYul186rHK02yNeNgmX8VgIBH6Y5Gh7if/2UIl4IBhoCGgtaLTOxHl57a2d7gJBR2UT52OHOdRT4ExrASME312+xvTtoJo0Eec720s8NGjQVtJ4bqtDW17jlTU3Po9OcQXtFyVSGUnEkUiswKfc7HOyrczPvGdx7+hSXVNbj/jbXRUuNQa0ZmO8sKHCzlGP+0euqzmM5O92VRho8DHLSQ72rjw/CQQlkSDSQq7WQ9hy56mREqnkDZM/fdCluQwx21w0NmiBxtV6m5wZUuuubi79x0fgZl1KcR05V54pFJKzrT6JG3qWkAJHg6IVokkTppa3vQRCcqzbIxuLKBmSTCKiokdcrb9JZ5GC2RiomZA2E3QUSqrGgW0eKVWhoSgITGW+jqNEMpWMSFQsZtt8zjV77B43KRoRBSsiXCblXA1NRk2NZ7aUOdFRxpyz0lmqmI+OCqKqBU71NU63SB6/rBDY1eLOE8kU7UmF3WnB5oRCwdYQmkI869F9oiq1oJ8KqCgqlCJazpcY3VWz5D4+CKyCz5pjWa42JlFPrbwKyxgmbdNlmgdKTG5MgZTUjldQwghmlhZ8DhSFycAk4xlL5AECRWE4iCNnQS3fepV+tMvjZIfH/UMGcX/1k19J06k7b2NVQvJ1BuqFpfc5nQj5q3tt1k9a/N0GncByGK3x6cktEPWxdEjcVzhbr1FRVU63hbSULcjOXceI+Ot7bDZNafzse4uFJU+1+SQqJmqoc7XOYbDepzfzwWoojtYEfP1+m46MzvNr9PkBaT4oeptNED/LxwdSPL9u8XMKqVBUkry+tkhTqcJPnYytSCTf7nH5zk6bnzgR44Hh25uAPyrcMmHjDln27hQkkq89WK4Gvjsq8YpOX2PE85sdfurkiqpqQNUF3t/ocS79Jr/9WJa2vEJTJs6hTgXPWCARFRGnP+VQ2uJy/5UYT29YWPKqgc5YqsIbax0+dSk2H5f0/GaHe0Y0/umJ2xfWXg0u1wccXO9AaPDCRp/PXlgasD5cEyAFdOeWTolv9LooocKFWpVLtSHOZhdVRvNnkEBbXqMhm+RQpyDQbz356l6M13uLbJ10KZoRQzc5RiCoyATvtZd5cFglVrR4tUMBcStzwmIoUmXKSJDVXe6dELzTdmemfzXUmLQ0/uz+Cj9xKsb5Zp9YMbmoesdqIRC4msGVlEGoOPzRwxWeOBPyw30xFATZWMTFJp+DG1y0QKDZSV5aq+Kr8NUHHDbO6PMxZm/0epxu80kUEquynAkElVXUEv4w0D2T/noPTUb42g2WyEihEFN4v8vnE5f+fwK3LFJZj6Kuw5y5dbA+xFMlI/U3mK+lwFMFmXhIXWX5ZvIVyTfusxmqDTB8DSVUiNCIlSxGu29B4OKgDvjUfSbBJ+tVnsubDNbbPKIbtI4G5GMG1yhjyZA4mqQCRNLg9bUhu8er8iFGCKfrlr+WGqnMaEm8Gpttc1mylgLeXFxdGAkatap+zUBj1a1XUTXiV1zYlMb1dD5bZ5IyI0YqajUL981ZZpssxOm5AtZCkFMNmk8W7wiBM8oBO16aJFdnEp33b2rxlEKQkwadR3Ik8j71wxWsok+mxYIz1eNeW+eQdBXuG6kSlIxhwfDyLq1AUeAmQsTz10VypT5kPCk41Ovy2QurX8kWVZ32kQp+EDBYk0S5Qd6hokn+7IEyrXmdF3t0FKESCo1TbRE9uYX9xmpCLLcaS6KGGu93RHzq0sLvJzt81EjwwsaAHz4b0DyX/XfNfWqWLIRUcBSdFzcGfPnI7RO4o50e39lZoXtW50izuSRmRo008kqCe4p7eWntyywnh6NIhbJI8t1tRVqKCo9fXkrOTrf6HNheIV02eXKvQ0NZZV3mBys7UDIint5R4Uybz//8avIfRHbluZaAyw0B6UKCIx0aCIVA83lus82PnIuWLESmEyEn230uNwYM1YUECuiRSW2+htfao2XjewUCKWOMGDqTa1nkrhIIZGjx9HaXh6+afGdnhQtNAY05i+9uc9g66bJz/OaF7G09YipZzSDMWxJXk+y9Yqwot2HrEU/tqcbhPb1eRzOKDNUuXgyFQvLNe20cTfJvX06jXWcJLBkRJzp86rMJzrVX37FEokYRiqymCkUC+pJLY3hvBjVSyVoaf7fTYcOkwak1N+8/ilQoqCleWrPqSywLgSAQFu8srWL2oaB7cd7tKmKbZbpnTJ7tvT1yuRzUyGLEVPj2jgoDTQGuBrPxiJSjUFc0eL9ZZypVHXM03+Bq2uPP77X5V28luNgU8L0t1ZCOZzbePd+mQBAGCbzQ5VL94jYSCJTA4K2ekE9cqhqHBhpuHuJyd9n2vw9IZV2868z3Z9p8mooaE+kb2DACpMLECotCT61OtOOpkNBNcrgtwZudMQ53WhzuvkWHkYJsTGIWAyq2yU82mdTx/7L33lF6Xvd95+eWp719esMMBoNKAgQJEGwgqd4tWTIp25IsU7KUjS0ntk527WiV49iJs5t1vNUbb5zNes/auxtL8ToulNUpUaJEiqJIEWxgBQgCINr0eetT7/7xvINp7zQ0FsznHBwSeNtT7nPv7/7K92cxlYGCpeg7E1ARc98xmktQBo4XJTqyeHwwJBaGk6WYfF0Tq5WMxdTL8VCPhwIsIbCawyaKoUNLZKw4VYxSQWGlKb6a5qlUGoprsxI/ga3KJjcekJv0mRqTCxK+py2b0uk6mcm1izLmR326X6og5qmc60bMnvvOUXM1k8cFMlh9CpiwbLyzAd5pn9O2y1GRZeqpuc89Nhjyw62XNu9myjPMuDEqsPnqrpBkHYn4NaWQtYTYFogjS3P7vretQSTgUMmh1jSIZKx5unehV/B0IUFFc6+/0LXQEHxsU0D3lMuYq7h3z9x9eao/pFSXPNE7W7Vs86PNIeEiL+5KxQWRNPzNdTX+Zm+NLWc9vjHkMJZvPQZ17NIZbFoxjKia1W9/dlODHw/6C0RMj7ZHfGl/le2nPR7ucTmRsfm3d9QYy649VyQS5oJynwyGv95b479/+wzf2tlgtPmbz/SE/E9vK3M2l3DGU3xz56XJI7ycGAzf2tVgYNzh4U32+fuhIs2ZrOBbOxY+uzNOwp/cXuGnAyEVqXEqWc6oEtsrN/GTAat1cdY8JLplcr0ObY61Gf7wHWVOFmOcSo4HhlwmtMN/uKXBtNv6PvnK8K2dDf71u8v8+9vL/M11DX44HPLdrSH/5p1lnute+iwZDH91fR07FDzUayPRVFW6YZnPU30hFTvhcJc5XzA0yyObA/INwUMD8/KjESRSESmVFo/J1nISq2EHHuey0JBvHA205ZBGUhMu4x68WLQu6Hq0Qic256w8h9s0quGS+Fke6czxja3ueeMN0nsiwiwPjER8Y1fjfATjK9tfP8bbLCpRHCllWkuQRBbP9kR8eV+Nf/XeGf7yhtbi4Offf7kO8vWKXY0wSbpAGAzP9IV41dYhGWkEZ1sYcL5KQxHTbkItyfDEwPpyv4QRjGYMupFQ9SXdrubuLpv/POMx4Gp6zvicsOd2oqP5mIwviYsKFUnOZQ1HO8JmB4a13UIpFKlKhiHT9MBFiaDDFshYMZMxnCqEZCY1W8aqOJUQP6fpFIpJP6JLajpOlJkpOqgXkgVaWaGUNGqK3qfKHH3LyjtogOxEwJ5vn4XAsOWxSU7uLjA6kuWa+0eJhGDsjJoTMl2FWEqOkocX4LyHp3lsvjKcy8WMZg1VnZCNLs2kcqw9IhtIxnMO44WAZ3sCdp9d/bxnj21cOdRDCxEuNFCrdsJDWwK6JjxO9c6NKRkrjnQsNEJPFWJMkE78KtKcy8VMuDHtDcXZXMyrxQhV97ACj+9uq3DXk+lrT/WFZGv2+fCGijRnc4Yn+gMONPNHHh9IPWteIOibUfSWJdlAMpaNOZtPOJuP0TF0TOb5u52XJu9RRxanHZc/u6nBV3fXuf6Uzci45m+vq7P1nMu9W1Nvow49Xiom/PHtVf7p/TkyocRgmL21OmkusBiOdsQ8OZCGUXxteNdzLm896qDWWG36g5GAxwdC7IbDN7dFfO2aBv3TkslMwsg5lx/2a855hu9sr/HzT5olbXDmYzC83B4zPKFWzaO9HDzZHzKZiaks1llEICKXr1xb571NaZeEVCC6WFM80ukx0+wko4yGi9wLCQRh4hKbiJOWy7HmOLdCl5eLEf/XgRqf/2H2fIgzkoZHhgLu29HAigU94xm+Pyjxmxtug8GmwR/dWeV9z9m8/zmPspNwNp/wYlfEi10RuppjLDf7Ow4Pbqnx6UcNVrOl4Hd3+PRMujzSI/jL631ue8XBjlPtzR9tDihUXILeSzPO5yMTRcXk+eGm10+Y/WKwQofjjgbv0l4raSSnshlOraJ4lBZsePzV3joHjtt8c/OlMySvFDJWTNuCs1lDrpzh5a7Ciu+/6gy4WAs4nlYfnijFVOyEU7r1TRaJZDS71JD48v4aM07CJFme6Vv/YBVGMukJrCDNf5qq2rynPWIsyjAoJNoEcDZi1kF6LpdgB3NK26GweGBLzLlCDMHaQ19ummdMVsqmlIigzZr9Ts0zPQlD0zZhFbqfr3DixjbGZhx6QwkCOo7XOaccEEu9H1OWTfczFV6+o2PZht6Q5rftvu8so50u1cOG4kxIf3maLY9OUi3anKxYWJOXpmrvZClGGTidEzzbG543UC6WY+0R2boFUuELm69cG61owDW0oeIkdDb7CY7bLrRQ3H5gxG/u9heFIiPFWC5mxo4pBIrq+dzH9HVpJFVLcrg35I5jikcHA7rLmvv7JSqWjLqSr13r88HDLq+0RbiVuQ2LQJAkDl/fGbL/pM3XmzpuQ2Mez3bCTJvhpbYYy6SbCJNYCN/hZEZysvvSTtR25HLCdZhSPtXBmB9sqXHNmXQijps5QmkYLsuhngr/7bvK2An42pDaTgZhBHYiECZNceguW2TLHkd6E760z+eZvpCPP545fy+W49nutIhk89ksX92RGsoxEVEc0jtl83fb0pCZigync/DIkL9ApHMxRzti/sPBMncfynDziUszDtdKLAzf3tmgb9zla9uWTvlpblqD7231ef/zLt/f5nOqEBOE2fPG26XECh0OdS68BrNyEg8Ol7n2XIO2uuLZnjA1wGLonnR5uF8xsSi5XCAISTXP7r22wQ9HppEmLfLKNjSdkxnum5e8PrthOdSfJrwf7o2Y8GIqTgYdSo6VGjww0uBdL3o80xfi64SnOy5fBwkp1HLdzd6YtKj+v5Lo0GZSwuPtmvolLKq7UggEIihw31D6d0+sbKJddQZcxbMxzWbOT/Wn4dOnN7W+DMIIxrJL9Xde7IpwKx7PtBDpXQupBw5kHCPDmABFIbT4QEeCejWgnLXgzHwJkRjM3DGqyOLhzXXaG6ZlAcNyeCrd16okNciiRFB00tlDxYpnegzvfwFmtE3H4RonbmzDjyQF4eDOhGSmAmLdWsBwRlv0TtTpOVJhdDibCukuwqrH7P7OOWZyNpWXDDISzGAz4xuyVsSM0Vjjl05y4WQpolDTREby4FDMgZOX5nuPtcckcboA6cDhpwNlxryYznoL6RIr4f+4rcqMk/A73y4sm6RfmfW+TWaoLtoUCCMpW5KXukL2v6o4XYjRCbzQNt9LZ/FYv+HgMcOhTSGZypwosg49vrmjSkdNUKpLHu5deG90aPNkX5k/vbXKmUJMz0SWv996YWGhi0UgqFguLxTTZ+3oFrMkXCcQRHGOM3ZAd1UQmTSloW6BFYMNWLGgLCVPDc49N0bYNPprHGsv88nHMux7tfXm50w+LSLZesbjb3fMJegrNK/kNa/k50oTBAKTONx7bcgdLy+v5v7gFp9ISP7TDT43nrRX9QL6ymDHXFR18CyPbwop24ZXnNahurnctAbbxxXf2tlg6FyGr13h8JM0korK8Bf7qmybEORrNplyhmc7BI92rrKQJTZnLYskCHFjwYmSRIilz6NAECcOX98VcuCkzXe3N+ibdPjGSHqfo8Tjr/Y2uPOoy4NbAnqmHB5foXpxg9cXAkEoHU6XXusjuTJcdQZcWVtIGhgMT/eGOI3ld80ikUwtEjodzySEMmGscHET64QriBKD48fULcVE1aarFBNN1CnruSILSD1w8TytNx1pzuQTemqC51eodl2MKyFMINOc2OJYkNeghEnDdJ1pLs+MtthyuopdCQly6aTfcaJOLW8hjqaVsYsxQjCFzY7vjrHdHSeyJIGnCDIq/a+nKJ1uEFiKiVclurZQmLcaWajxdVzANXCiFGOFChUrnupP7/nFLoh1bTiTj7FqTcM3UUx6ivt2BHzsCW/Je//PW6uEEp7qSTjWFrJlsrXR8IOm9+3BgdaJ4TLRHOqD/a+mAr65hiYqzfMsxIrnegJe7IqoWwkn2+bpC8WacxnJt3c2GD7nLakOk4lkyktDpEGQ5b6R5VXGryQCsaw3VyA4l3U4t45GEsJIJnWWyXyDP7mtxucfgN3nFt6PKTfhz26uMtDsYbwWI1aHNi90LV/NO56JeaY3pG0qw49Havxk0OfW48vPO49uCvjrvTWsBAanNEOTmi3jiuEJvW6pjUgY7tvRoHfK4adbl58rdGhxoljnT2+tMnLO5u8vQKz0UqAji3GZY7JdkHStMzUFwVjWbv7/Cr8R2jzVW+aRwaCZw5yZ95rF8WKd/3hjjVfaInTt9VHxvMEGrbjqDDg/UnikSeATmYRwmfAppBP+tLcwOfZsIcGJJCfb1tr0psX3IqjYggCDW4mp5yAxgnrFZvthn7FwTsMslIYpL1ngZhdGUlcaHZkVCxgW40nB/MYFUSJwpKBkwblIcS4fNxWtFWEVel6ocGJ/2g+k43iNcWf5PqAAZ22X0RmD7SeInEilWnyQ0wkOMVVHMTmhsKavjBr7iVIaYtaR4mwh5kw+oq98cQnDx9si7BgOt8/dEB06fHtHnbufcs8vsLN5kr6CV+0Mk06D749EbHls6QI/633rnMhQWyYkL2PFc91p8vWpYmqYzkfFmjOFGg+M+HRN2zyxeZ6mIQIZeYxmquSdpY+8QODU8zzSHi+r6v5mIS1O8jiehT++s85v3y8ZafYXPtoe8f8eqNJW1fyka2lV7XJII6kpi69cG/L5Hy69vw9tCeguKx7o1wS4fPmGgAMnnCW6dwnmfAh782iGRwcS6iU4Uoz5+k4fLzJsH7PYdVbTXpOU3bRFXsUxdFYkwxOa3rJEIKhZCS90RRwaCPGV4VDHyuM+1e7zCPH5Sc8yHWSuFEKTXEanl0oUkxnJ/3dDnS1jNt/YsjAZPok9Hhipsf+ExbeGXouMxQ02WBtv7tm6BabSrCTrDekqK77Xv/wDKhKxpIXJmXxM1r8U4SVF2TLocgS9zX8aTSicSxiPI0zzqMayCUYYTuYXftr2PU6562u74SoI5+3gEwPKCLptwVigKHtwvBSwfdxhRtu0H65xYn8bVj0mP+ozmlnFMyMECYJGIGFiyYsAWCsYgGuhoQ2He318uXLn9bKdMOWlGnnCSGpS8eimmA89uzYDrq4NX7qxyttedM8v8AAvd0QUahZB28KQ9ul8jf/h7TN01BT5hmQ0F9PQMKoyvNSpmmHvBp96bKkX8Lz3bdMKlZqx5nibTywMpwsxcbIohyiRlD3JCz0hXeNLK29UpKlHWQ71LpPviXjTG2/zsUKPY1nDH91Z5Qv35zjSGfG1a+psPefwvU020+tMxLYCh4c3V/j0IzHFeS3nfJW21WubSj2fVuBwpMPnkc0+B4/NeXca2vCl/akkUe94lq9sS+eYM03nkMGQCwKCjoRnugOsJCETCnSkMAhmNgf4dp1CAzqqileLMV4oKFZsrFqWUyvIGs1dE5sXChemB/hGQ4cOk14d11t6vjq0GLc0ZblUtX+DDV5PXD0z9ixNodNTxRjilatUhGl2Y5DmvDbQmUKMjC5+eyiMoOwIVGXOoCmM+jQyGnOM8zGA0VyMF0imcws9firWnM6t7/Z5UhAusJ8EcSLo0gpBTGIUT/cato83w6in0jBq22mfwJWIV+YKK64koTQcGgh5ui/kxa4QXwlq2SdW/MzJUqqR92QzxKxjix8Pxnzo2dV/L5KpRMzL7RHHi3V+71u580bXsfYYGS00AgUC4ec5Y4dUAZ0xOLFmStk810z015Hm1WK8pFnxfO9bfYWCGBkrpr2Ek8WQc7kYVV8kiotAJBpMxOM9rcOw/qVocfYmQkUeR4qGf/OOMgVfMHw2y73b1AV5n2SsGPMk39npc9dTcyG5RwcDrBge7Z3r/Rgaly9f73PzcQdh4LHBgPt2+FiRIAlyfHvrUu++QFC1HZ5fwb5KTEyPiIhD8CqSJzsFYcfVN8WvBR3aVA0c6lm6gRcIiHM8PPiaHNoGG6yZq/DpTh/XiUyCb1Ze0KQR+BoqTkypKeZ7Jp8Qxxe/EAojmHShq9zMsTOGzldqzQb2c+87l0vwgrXl4qyGK9PK0/nMGnAQI+O0EvXnnoFAKaIq9LxYIT8RMp51wbw2PR2/fk0j7WVXtsnO5DjSqzDOSca8iIFy68+caEs18pJmor+KLF7qruCr1eUe/tO+Gjh6wvoAACAASURBVBNeQhzkONRX4VB/yL5TNlFTe89qITsjjeLoMoLK0Ax7S80PtkT80qG58fPd7T7F+sreN0gXlUAqvrctIhGGUy3kbazAYUoqKu5G0vVaSCsfM5z06lw/YV+U4KdAoEOPv9tdxQAfPOxhx/DQFp/SjMN019x368Dm5bYGf3l9jVdLMVXb0D3lcqhLc7pw4fdOCsWopxi9+A5Jb3oEgqrlbIRHN3hDc1X6hw2G8WxCXa/y+Da7McwKeEbSMJaLKVtrf+z7HUGu1ZzcNOCsZtumzYemyI/6TC7SdRvLJchLpF/mKYgXRTBn22lBqkt0rH0uLDujbTqfrFI63aDeQun8bC7m2zsub3Pqsp3wyOaA4rTHfcMeDw9qfG1TDLv55q7lf/tkKULOu5YyVky68GLXyqKrX722wUudEcbP8nynpi5c/mJfg1gYThVjYpHw8gVWOOnI5qHh8LxI7qSX8PBw2vR5LSXvKtY8MhiS8xXj2aXvV7HmTHYj6Xo9CASByPCTZSrR14OOLM7pLF/bGfOH7yjz7Z0+U17Ci6WlHtvQuDwwEpGtOozKHF/f6lyU8bbBBhvG6NXHVWnAVRxDKBOm3JU9SgKBMPK8mO9oNiERhhP5FT+2gI/1ad7a0SKkZQQTnsCqxHQfqbDp6RlebsthHV2Y13YuFxO1KIe/EBwplnjgoljQbs1JiYznYipWarDOaIvS2QaJAvHqwmKOVKW+ztevqTNjr10Vf738YOush2rhNRio7eD+bT4Ve2lOncFwohTTkIuSk43Fj4YWvr9ip731vr+1wf9zoMrDwz6F6QwPN3OGrMDh+S7DI4M+x9pjinXNePbCFnsVWZwoxZzJpff4OzsadJU13xtc29QrY820a8630Nrg9YdOLM7aOZ7u0Pzt7gZ9kzZHW+iIWaHDCTvH17c5HF/Bc7vBBmvhw92Kz16CTcgGF4YCMq/BlHxV3vHxTIIwcHKZ9j/zEYngbFOq4EwhJtuQTHSurQJVAb2OQArJVxcl7882tC+eaNDxUINXBvKox8IFHQ4MhtFcgmxcmr2VJ8EYsWCrFieCjqYBJxJJ2RK83BFz3RmF3wyj1jwNjYWj88n+kFeLESfykqf7Qg6+cukXoZqV8KPhgI7JDIG98PtLYS+jOcl3tjX48OGFjbgnMgk1K6G2SCNPRZrH+wN8ZXiyP+QnQ0EqFZBArq7RkSI3neO7IwsrOH1cvrTPZ99pdV5Q+UKQRlLVmh+MRLz9iOTRTQGdk7k1Fw+oWFG1DeJyluhtcNEIBDWZoexZVHqWf3blJdqYbXB1owQcKCp6LcGD2Zhnq69NqsvVzIe6FXvykj84GhKt8/LbAmLTqlP06lyV2/iJbEImUGuS4BBGMppL78iZfIy7jny0HkeggZ3u0pw5YQSjWXBrEaf7sySPLzTeAGZcQ6ASxr1L80B6SsyXlwPSEGpp1oBDgNE81TNnbJ50s0yfWHhcoTR87ZoGg+Me07bFQ5svjyzIg1sCsr7g4f7WSfkqyvD310YEauFJnSjFZALJsdJCw0hFFq+WIv6b90zz9WvqJLHGruR4Jp/nob4cDwx6PLh5qTFlBTYvtxsO9wT4qyhjr4YV2fxwOOJbuxr0T1v8YGjtj2BqYMum1MsGr3eUsZjMXJV75A2uINdmZdrn2nf4ZK+97kW92xa4V6UlcGmwBdxcVGx2NO+5gK4dv7LJ4r2dF7aZuypv20QmwQnXdsGEEYxnUgPlTCFZl/djwBHEBrq0JLdo0RVG8NNeGHcdGodjWvVTGc3F6ERw/BLlxrhyqbJ7nAjy8+xLFSue7Z7bC/hKEfoLf//7W30SYXisW6MizdO9c3ldlwpfGR7c4pOtelSXScrXoc2rBcOPFjWgPtEWk21YSxqoSyNpGJdCOcPz2SzfHHE51K9XNeRn+zeOZ0TL4oH1oEKLV9ojnuoLqWMvEdVd7TjcWoEf9V8dUg8bbLDB6uwvSE5WBWHDYZdncUtp7REbCfz6kMU9A1d2o7E1I/jiiI33JrBA9hUkoYG4bPPRLoe2dVzKgobtGcGB4oVdiDfB5Vs/Y9kEEa/t1EUimWx6wM7mY/x1hD36XcGpmsAVkhFv0UNlBKcKMFm1EX7rB+5cLiHjK8wa+stdk5WrxuBdlVbWzieKU8Mu0zQwZaw51hGRLGOQTbkJ39vuUypnOF1QqFgzmks4VVifJt1q/GjYx4oFP+5bfjJK2+K4/PXuYIEX7mQxxixjaNuhxwNDNjPe+iasVHbA4+XSxRnT0kgqWtNVVvxg8AL66CI28t822OBNSovapBXxJOzOS/AtEiMI6jYf73ax12jD7cim3rc7Cxb78lemDEICd/VoBh3JO9bRSej1ysGS4mRZImKbNqP5WO/aN9h7cxJjYI9n4ayjLeYsV+VKMJFJSNZ46mk3hoSGNkx6CWVn7Re535EEoSKIJNsXhVGFEfhWsqyhBKmhaa/BU6gEfGpAc2f7yufkScHib4sSgSMEfU1dWBVpxrOGk6XWBtk3rmnQUVF8d7Cpa2UkDal5ZOjSFTI0tEmLF8oO06uEoKzA5ljJ8IfvmOHJvoBYGF4txdTW0aFiLQgENe1cEuPJq2d5sMvbMMQ22GCD89zRpvidrTbt61Cpuj4vqUWGHVZqNMzUFZsszbvWGMo7UFScrAqshsev9DlXJBH/YJuioARRzeZnOmxWE4N4PTPoCgZcQSmxAcFk1eatRc3O7NpO6vqC4si0JCcUO7MXoD+57k+8CZjIJPhqrR44QdlNOJOPkcZwtLD2S9bvCnQiCCLJyKIwoDCSUEJdL2/4nMvHGLP6gzjkCmwJbyut/OS7ErRYPLAEcSwZtHXzb4JAaH48uNSAm3ITHh8I8GN3QVGBji1+sunSGHChNPz5TVXcQPJYz+peMoEgjgo8027z72+r82/vLBNKw4nCJTmcy4IwktDeyI3aYIMN5rijJMkLyWf67TVLgtxYVJyqKDw5O58IajWbuzodulZxw7kS9uQkka+Zriv6lcXdy8y5HRa8pU3xuUGLz27S3FqUrFYD+OFuxacH9AJvYFbB+zoVL00pnNCh31LceoHhwyuN0+Iwbyspjtdgq04N6DCWSN/m07023bbgxoLkI92KzwzoJd7VooYtnsCOLYJIsS+zfn3ZN8aVu4QEstk/0Fre81XU8A+aJdnCSOpWwoliRK6haLToJdmKkk7LitukIogEw4uC/cIIAgW1FTx653IJ/hpypLZmJNVQsMPTtC1zXkqAFtDKuRvOM+Ag9cI91sIge6YvpFiX/Ghw4TGpSHOkM1xXcv0PRny+tK/GlDtXABGLtJ3QRCZhXGQYaymgtxSBoKI8XvHyPNklyTcUZ3JX3dDeYIPXhJyCj3QrPtytVl3UN2jN9kwq5zQ27XBTzuLt7aubcG0aRjyBlyxck6q+pJhofnfE5lP9ms3LCDvvzUsaCWxXDiAoVx3e124z0izq73cE7+1U/NawxT8bsbm9pDCBYhMOd3c5/P52m388pFvmfPXYgjvbFDdkNZ/fbJ/XQn1/p2YmNOxRHiDwGzYf7nztBJU7LJZEpVqx2RX83labzwzo84acK9P8t3p9YWHjVM1iu2vxxRGLD3VpttiavZ7Nh7sWXqi9ecVkaNhl2TQCyZ4LkKe66twAU5kYhOFUbvkhs8mV7M5LbGnwjaBhwUvdEU649ss14KYPR4+08CNBT1ZgCwjm2TiRFEy7CV3VpZ8/VYiZdhNWaBpwnm0ZyemKZJ+rOFjUfHVsqfE1W2XktQjbhbFgYN72QsWaox2NJV0LnuoLydaXJt7LWDGVgRe6Aq47s7BHZyue7g352jV1SBSPD8zwocMet71s8zd767zSHhH7OZ4ZWP9KII1k1Mkx2r0hagnp7uzy1AdvsEG6IXxLm+JdHYrJwNCpNHe2Jdw/EXH/eEztKht8roR3dijuaFMECVRiQyWCyEBGQUYJMgruG4v5/uTCOfpgSXGsKrheOoQ1zS/1JDxdqXNuBd3xG4uK0QB26sXi3YKJiktGaa5zfG4eTqi2HeLHZ6A8b/05UFScrkj6VLquBZEkF9j8+kDMVGIoaTjbgJmagprFVmUzrGQ6qdQMUsbs8Xw+1Sf5X04sPNCf6VK8XDXsTbLsyfv89jD89bmIW0qS50Y1W930N2fqim1tkutygicrV666fsgVvK9LszMjmIoM3x6P+clU0lLKY9gT/OqgxctlOFiw6d0s+d9PBuzKShqxYZdaeP0NgqkpjyjR9KLpExI3jPlAB9w3EZ2/pzfkJWNVxZBS1MOE4QI40uAn6ytCuaqY9BKcUDK9QruhNg0WgqJlwAhCKXixM1w2Mb4V/Y5gyhdIkXrgskIwME8OJBUJFky6rW/Wjzf79E5rnlulvFiJdIDpWFH1FQfzrRMoM0ogBGRbePTCSNDnzB2HjBVTLjzfPfdQVuyEl9sjplqE/s6L5M6TE6lZCX+xv8pPNwULKlRPFWK+vL/GtjMeT5YyPJ93+Y/7Gvzrd8/wTG+IVcnx2AUYbxss5b/aYrG/cGVN2bxKQ0EbvD7JKtac4L4SA47gvx6xubNN8sKEoq+Rp9TIUapneG/J4V9ss/knmy1+bdDiU/2a969RO3M9ZBX8yoCm8Bq7ISRwsCT5ZyM21+ckRyc1puZgNxyKkU0htpANG79iY+o29/Ta9Mybposa9uQlSSM9kaqvKMQ2vzpgr+gdurEgGa8o1DK5tFGsyftZ5HQeJQ2f3STPf1+7BVs9gRsvvHiTVYtS7DA6o5mcdNgaFNiv82zXLnLB7wiSRKPrGW4rWNw2Lwy6xRNck5NQdwBFo+yxRTr8FwMWRypwwJnT7UyMIPJt7upafePfCgm8o10tLRJchl5b8JkBzW9stpCJ4OS4Q1/k8UvdDr+z1eLONkXnvE5LW5rG23PTcG2SIyln2aEdvrjF4e0dmlfLipxaOgBjIygI+7xnrhEqMrHFx5s3vqjTdXvWe5raCOvPg7vqPHCTXowbqBUTyIuWQCPo0JJRvxlGtRNcvfaLO+CKtP2UBBAksWK7q3m5NmfjCyOYzCzddQQqbd5enMmsmug+5AqkgE1KU/UVO0qCvDaUo4UDOpUQAZXIJe6pIBZ0zXOzCwTGWDw8lLD3dPpvz/SF5H3Bo12tj0NFmkP9PuAx4yT86W1VfGX44XDEgf6Au57MoBP485uqDI5bfHVEI4UiQXHSsamLBrtO2zw4vGG8rRVHwoGC5MGppa6OPkfQawve0a756UzY4tOXh7t7NfvyiiAJeGRmQ6/u9YQA/smwTV7B89WEpyoJhysJ1XWmr+YUfGaTxdk6DARZbnPmrJE4snAijaMiJsMAS0IBwy0dhgSfb45dOrfc3T2aG/KKOBb832cu3xjPKfhIj6YcGSZCmAjTcb3JFQw4gkFXogUcmZLskh6brWYu0/x5dnZaS6CU+Hy2P+a/OxZggFtLinEfds/zpE1VbfaUYj7SE/Ofzy69Qbtzki5bIMXqeVNxorn/+G4+vvdFfqE35ktnIm4sKM4FsEsv9R7FDZf9a0zHihNBXHf4VG/Cs9U6UxF8sEvzUlmwz579bkG96uJYko4Q5KJ1dLqu2VNS7MoKajF02YJOWzAZGl6sJkwuI3CQVXBPv8VIRhDFmn9x1MdfZni5Ms29u71N8XIVjo3a3OC4CFtCCDp06LF8PtIR8tGehPEw4WjdsDsneW4a9pPDVRoD+FWXbldiWT4ha89bm6xaHCxGfG08pN+RjIeGHXruGgWRYn/G4snyyu0e53PVGXBTmQS9ioRISacGXHuzybtIBJGAiXVsEgYcyUxFnvdx+pFgm2PxLeYbcJLpFq0rn+wLkQYe7159V7E1IxltwDZlE8YGz2huLii+M7FwJLsSggQyLWRQwljSpgQFbZhpGn4q0hzqmxtIT/WG5KoOcVfrIaMii1OFGi91hPzVDXU8X3LSy/KKB42hGs93lemtSNxQ8Ei3Q2jNb3MlmbAzPLR51dPdYB67spKP9mqO1gNOL5TCS5OTE9iftXBlSOMKhLOuzUmuzUnqNc2n+yTP1+pUFq2rd5QkQghO+wmnfbNu42GDC+fanCSnIKrajEjDtV0xSU/CvzrqL9nwLYcUCb88IKmEhuEwS4fdagETEFsMy7nXvEbMx7vhxWqdo/WF7+53BOcCsy4F++tykt05yblpi/d0JHxjIlwx3HgxvKVNMeJKolBhZw0ZbYgwTPrpJn28LOk0mtvstS0QExWbG0oRb2sPeWDCcGtRcXJas2VeYVhiBPWyy4faE4LE5yujcw/Kjozgnn7NE5Nwu1qbZEUjsqnOZPhAe8zpIOFAUTFWUYyswymxHOWGotO2uKc/5rsTEQOuYGzSQViLPHahw1CL5SNOBCLU/OaQQ90kzIRQDyUdFrh9hjNBwks1w7FawrGGYTQwDLmCTw1YVEPDmQmH2zrhw10xf3l2qbV3U1HywS5NPTY8O6q5yckgFykXGwQqdMmFLlLEBCJgu0o4MpWwX3i4C7xsgnrDwalrRvTaHQ5RLJG+xT29NuNxwnhFsXne9W8Ekt1ZDWwYcMsy6SWQrGLAWQJLCNqVBGKEkRgR83IzNLQ9Izi1wuLjytRFPb+HaRBJtrQoZJhqUcTwk6GAjmmbRztWvz3bMpJKQzZ3eIK6r7ijYPOdiYWN3l0pCJZZxOMEbCT9jmCmOf5VpDldrDHpxDiJ4EhnRHZm+QlKGknZVvzJ7VVGxiwOdbicyUukgXN2lgnbR8URUeRxbiPTeVl6bMHP92pcCZYUOBK+NxHzvYmlg22Tm2oMvrWk+fKiiWtPXvLytGJ3t+KGguDhqcvrDbNFqu307JTgVpWhQ/jc0xfz74439QWBX+zTXJuTxJGkYBsQhtO+4Y9fCa+6fKnXgoMlxbGyYJ/IpH17aob+tgY3F2K+02J8teJA3xEcW1Cedpcx3lpTDxWlwOHXNyX83lGfapxOWT/TrXhrm+KhqdaeplZkJHy0Nx1rt+kM2djnYz02/+uJS2/B2QJua1Mcm9Dc7OTS69bcLHVAOrDXaQMlRhDUXH6pxyDwsaVhWCw1xPxI4lQz3N0JkBpx2zOCz2yyeHpKcLPIr0uKKIgUXs3j072Gc3GMXIf3aGUE0xWHg8WYXgdenBbcbLXwTKzAeNkmNAJtJP2zFbURyEZMSfnsthNuzCZ4lmEmTrCl4Plp2BHnaLMsKtWEn+2MeXg64nhz6dMCPtGn2ZmVvDAl2YXHlhZdkRaTGEXBeBSA3hWWYHEBrfCmahbXtEUcjwKO1xZ+eT2U686Du+qSVSYzCdEqg77NElgC2vSc1plIBElTW+wXei0OrKB23e8IEmBgXtslPxIMeIuil0ZQdhcurGdzMcfaI845qw80xVz+2ywVX3FtVp4X5p3FUxAuOyhSKZHN8ypspVGUbcmTAyGHeyK8UPDTFfo6QtqgO1uzeaTL4Ux+vodNEOPyVHuOZ7s3jLeVuC4vadMS07AJqxb5yOKdy8jDDLqSRii4s7hw8i9p2OQIMkbTCDRvyV9Yfsl6eHenwhjDSJJWl01XbG4vWNxSnPPabM8KTo7b9PoFMuUC2UqO6xybj3RfdfvIK06HBTuzAh3MH0uCRqC5Y5m8WUkappr9c2tJsK39DK9MuGxfo7dpPlM1i83K5lN9Fp2W4Dc3W9yQV5ye0Xykw1mQF7YSH+nRVCPDLtJcqsmqxe0Fzcgy1ZazFFcYZrPnuJgDRUmcwA51aZ+hqi9pSzQ/1605XpF0W61P3o8kVDPc3enwyT7FZzdZHJ4W3CJy2GuUwppPLVDYDZeJmmRoSfHDhRMlgqTukJOSvmT918ogcIWNKxfepMQoSlGGvihHW72AN5PDq3ucmbQ4IAq0NcPVfiRxQ4t/0O+gSAWO/+GgxZAreXXc5qBVoN26VAbrhZMa7zZBKJcUn1xIHtxVZ8BNezE1a2VDpKBTY6dNpe/TgcXkvAe4oFniTZtPvyuZDMCZNxiDSFJQgi57XiGDEZQXjfWfDAX0lDU/bdH/czGDXpr/NqjmBmYQCbIobswv/LwrBdEKG9wwFgukRABkbPHwYMzTfSHFir2qdpkVODzenWHiAsqhN0jZ7AnGa4IdMst2laXTeGzzJKrFkN3kCk6WFZscwfa5vGD2NMvTt2mHqi/Zm5ctNYwuFX2O4K3tilenrPMLUZRIkrrDPX0279ryVBpWmXDZ584eqMAkmrjm8YEOm4FV1hIFvK1dXZIE/KuRW0uKM75ht73wQld9xTU5gddCBf6zmyx+f5vN729P/9zVK3j45A7225kl710bgpmKw50Fmy+MWPgxBDMe20WObGzxyVUU7C2RyjbcUJBMzzi06XTeC2OJCi0+2dvacFAi1ST73a021y/TbeCefovPb7aWPCdvbdecKEtK+lIv/oLJqkPOaNxw5fOeNeLeWXJ4dhpuJod1EULl5YbFlvjSC2WWGxp7JsvgOr1v68GgyCcuu3R2SfHGRNXmGk9zV09apJAR0JjxuN690PF6eSg3NG31wqKiEJifB7dWrjoDLhJmxebweZUuFiaaa/KuEs20kw7KjExds8P28g/QgCOo+AsvbWIEMpFs8+Z5poyg4szFjiJpeGwwQPj2mlzj25r5b8UFeRCCRqi5s7BwMvMURCuEqcJY0L9odVSRxeHeiBe7Iqrqtd+9XA0MexI1z6Pqh4KCkgwu8tR2WOkus4AkCS3eXpobA9fl0vJ0JSSNUFKSir3rbJPTvUZLSZGGs45U4GZn4URZbijajIWjQ6YmM+x1l7pIZnfOn+5bedd+Q0Hys92Ke/o3xuF6UQJuKSqmKtaSRcOPBHmh2LdIoLzfEezMCk5Oa8RMBj2TIZ7Oc3Sq56KOJUokQdVlcsZiR5hni5Xe98mqzc15i+sWyTvdVJT8xpDF7221+YMdNr/cr3l6UrDPWWgkTFVtrsvqJe2gumzB5zdbXJ+XRIHm7s6l46zfEWzNCIYtzSf75sbX7pykoKHPXJ7ew3EiCMpZrrVXcR2SPifBdJbbZOGijLfLzYWEFS8VxggaVZcPdljUI0Gmlr0gT/FryVwe3Nq46gw4aeDVFQRiS1Yqt2EnmkKLHh8Fnb6+2Fs1nwFXEEdLL20QqwUttWYNuEkvYTQb8+OhgETAU11rewi2zua/LaLqK/bk5QJvhStTI3I5gljQ6yw24DRj2QQrNjzVteH6uNx024KMhM55oXeDwMSK3Ytaim1yJdUYuqVNpaG4rajRIt1gjGQE9nl5AIEfqmXDZK3YlhF8YYvFgTVIkHy0V9OuIe97LeQMBKPTHl99cT877eV35ZNVmxsy1oqK7G9pU5ysSN5esHl/5+rT1uXy1I14guvzaW/jblusy7P5Wj1B1+clQsCIbLWYCeqB5o5FYfY72hQnarBTZMhi42KTuUSGTCNUbBZZvHmJ4VEiEL7NPb0OWqQV1p/o09zdo2n4ipkZi/FpFzOV5aBamvsVG0HSsPm1TS6/s9Xmc4MWn+jT/JfDFrVQEM1k6Aiz7M6pJaHWt7UrXqmCqnq8s2hxezPX+S1tipfL4rJ6lNbHRh/k1agFimDGo7+RZWCZsPTrmXooGc6kwti/NmjxhZGVbYGrLtblhQqzQoy5pNNSZpNIii02+wWdeh3SPDlDuMgoUkCvIzhba2HARYIt86pfhJFMZmP+4F3TGMAA28+6/HTbGvqfkmrUvFpXS6SkG6GgS0q2ZgXPNsURPSlIVkiMDCNJZyZdZGZ9PQJBXWrcACpr7K23wYUz7AmmI+hf5O1shJJrPIuvzqtg3uSmOoM9QlILDP05yd6cQApBLTZs03OTV9VX7CsoLAHhGmoZfrZbE8aST/a6PFmuLxCfns+7OxR785JXxixu9Jbb6QoSs/KikxhB1LD5ZE/ME+U69UWe4mFP0O8Kzk7YRMriF7sNp/w6TzRVSRWwPSvY4kk2uZJNriCn4KGpmHvPxWs657XwljbFz3QrwjjVVZTSUI/hfzwWMLZK/nyvLfjckMUfvRIwceVUXQC4vaQ4URbcuEwYsNYMs8+Oj4yE/QXJkXELcTlj74uYqmlG2jQf7VHNzjWCV8ZsDriZNcnlT9U0kXCxiGg3CSVleHECrlcurqWJExCB5sOdNv9zs+ChqFPv7kvjFpGtSeoen+4zhMZna0ZwcsyGN5YT56onSfS6+sm+nggigYw0I06MHyomGjbZ7PLvv+rM+dWaw5csQS0UxIkg1yJXrqgFMyF4QtDbYmPW7Qg00COX2sZBJBmaJzioIk0tynHUzfOSV+D5bIF7t65ttmiV/zaHIIoV18/z2rhqZQ9cGAuyUtC+qBWXW8/yWMfrK4fgzcqwJ5lqyCW7bD8UbF+06RhyJY1g9t8EQWDxzpLNnrzkTFUtyL+sB5J2KdndDC9lZLrD+2S/XrIu7i9IOi3B9LTNoNa8r7P1Hu+mguTdnYrnJjQ3eivMMGtkpq7oU5q7WhQ03NmmOFaFbdqmESqsusPnBlxuLkp+oVfzL7bbfHrA4hpPY0WasWmLRtnhPSWH3xq2FohUXyjv7VR8oEvx9Kiis1ogWy7gTefZJl0+0bP6anFXr6ZDC24prH8jNOQK3tWhWuZBrkafI9jsCTLx8t6IeigpKcme5vi4uaSoRIbd+spaLgZBvebwvnaHMV/glDPcsK78JYE2Fr3GY4gsw0mOW+zcAgmI6ZrFLQVNZ/Ny3NmmGPUNe5s5zlVfUQxtPt1vc6wKu95gIbgN3ugIxmZcdsZF9soc29TK4/+qM+DkahIiOs0LiROBK0GJhQZN0RJUIgFGMtQijDrgpF6Uglj6mh+m/e5yzQpRgcBITcPShFph5MoCw/Npnf82RyOQC8JunhSwgiciMaCQDC7Sx5FG0lgh3+/1jhZr63V3OcmpdBFejWFPEAZL738jknTbc+MG0jC9ntcZpNxQ3FBQ7MpKxJJNKimYAwAAIABJREFUiiAINW8t2Nxeknxxq83OjOS2nMUv9M69Vwv4QJfmxWnBsOVSrdnc1WnTscg+uSYr+Wif5olxwe0XnNC+GMFM1eH97faC7hFFnfZsjOpzeaEV36ItsvnlPpseLTk5qYmnMuyMi1wv8+yxsnTiIcpZtiqHLw7b3Nmm1jzZDbppeDSr0gny57o1b21TPDumucOdDd8JQDFTTattd2SWv7/78pJBVyBCi5tzaw/rZCR8tJmQ/b4OzecGNYtrp2yRdgFo1bg8q+AXezXHa4ZdKxpjgqBZjSpIw6dnynpBiPNKUfUV9SmXG+I8/falD4EFscRNNB/sSAsWbi0pxisW1rxznarZZEMbUV9bLvIGG7xWXHUh1JhUnHc5SpYgigVxU4Mrrw1T4dzkWNCCIBKEkWDIVjy46Ls2uYJpX9Df4sGPEoFNGq546CJ1ufbmJdM1uewdrIeSkaw4f7ZusyPE8giiZlP7Q1zhGM9l5GN9munI8JVz61OMLWr4jc023xqLeGT6wkXKHAm/NmRR1IJ//uLycTZPphpwpkUScBQLXCQ7s5LHZsz5Aob2eW3R/EjQIRRCRGxpYdRXfcVNRUWHm/DSpGKPdMnEig+0S84Fdb4zkXBHm0qlaZLUKKsHii5H87Eei//tZIgt4ANdqZr5ExNwh7U+HarVCCKJXXf4hwOGf+k3OO0bDpYUoz7sWWSATNVstNHsEQqWWecNgriWoWCFfKK7wcFSxL3nYp6tLn8/39+peHeHRgpDQrqxqcXw0rjFQXeppzGKJTKw+VRfzD8/4i/pPevINCT9/JTg7Z5LW662pCdyK24qSj7UlcplPDdmcYvjciDvUxoO+Hcn0jDsjYVUoNSW6Qbtz0+FPFFOj6Cg4dcGLeIE3EZmkajqUqq+Yn9BsWc6FfvdtNxFvQJINPIy7rpmahbvaIs4GyaECeySC8/VIGjUXPZsON82eJ1z1W0vgha9QOdT0gKTCOKmR6pjURi1oCGOBUEs2dTCMzXkSYJgudlHUPf1sv1K10qXnbZwKZjlQzd+KClqyWCz4tZVArmKOGAQiZbn9EZmiye5aYXk+FZoAb8yYGEBn+6zKa1hm5ORSz19klSeQCPY5WoGWog2z7LZEwQGBmXrkLgfKXZ76WuDzQKGHrmw+rhStwh9RaFFWL0WSKoVi8Z0hoN2noK2CGKJqbp8stfhtpLkXR2KV6YVvfMEWqdqNncWLd7ZLvntLTa7c01PlG5VBn/xVHyLjsjmH21KWz7dVlKMVzT2ksq7tM/wWvBDC13JsRmXfzxo87lB3TKsujsneXuH4slRhTeTx6vkSCouSdnjlhbG2yxTNYudrsXBtqXf+Z4ORWQM28nQCAVFKdmVW/45bLdSw+vnujVHpiSdtRw3O1kMiqDssUM5fGHY4Tc3W9zdozk2I2E6S7vv8eubHD7creiyBb8xZONHgmwte77ScyXqgaRTSz7amybu963hM29U6qGkiOJ9nZqTM5KifuMlu2+wAVyFBlx1lXSVkiVQJg2RmGS2ndYcBS0QRhLGgr5FYTFFGkJ1VkjargaSvXlFiwLXNXNDXnLWT3W+lsMgMJFibzY9YU+yag5NGAsGrmDS8uUmp9KQ+DZXU9Jr93j+Yq8mq6A+49GDzT19K0/wGQn/dCTVtto7T3/v53o0/S7UZxzcWHNjfnlLcNiTjDXEgty1+fihYFdTgma2gGGxATVT13QF+WV+QUDosHnRwlwPFXbd5bP9NuXQsFstLNELY4kKbD7aY3OqBtZMlluc3GUNLU1WbbZbNr81bIOA7S2rJ9dHYgTK93AqefbYLl8YtrlxnnRGhwUf70slKm51MoBCJpqicelbRcQ1MYKgbvOJbpf5GQjdtuDOdsWpaYtObTEbyr6lRRhVkOZj/fYWGws4O+lw0C5QmFd4YJo9JftiFxUrxqdcDloFOrWFH9jYFY8Ptjt8cYvFZACdjcyaK/EMgjjUdFkKexVdsjc+gnLdxjGSTRsVChu8gbnqQqhnVqhAFTRFfEVq6cSJoE1KmBcYKWpBxUAYCXqyCy2iXkegBfSsoNNTDyQDecnOLDxTubBz2F+QTFT0qmGRRijZ42nuJcJV4IuVLbgwlkukRN7IDLoSP4GC0ewrKO6fWD0U+o52xbU5yclxmxtch6lKwsFizMOFcNnm7Hf3aqqhYUA4/Gp/zPP1kGMNw4Gi5MiYxU2uRz0MuTFnc+9YveV3DHuSWmP5kHgjlAznBHL2vIIWLr8LpOJbeAbiekShRd7TRNUiRHCLUGnz58uMQVCpOGwvJNw/EXHgEoqoxolA1zPk7YBfHZB80wv46mjMrwxYnK7DDSJ7QcZpuaHodRX/aNBiJk43D+224FgVbpqXJ1gLJPvyCk4v/PzH+zTXZAXPjitu1B7usjJFaR/GXTgs7oQUxBpZzhLJBoO+Xrfy/ExdUZGSa9/E3rdZqr7CNDL0W2+uiMMGVxdvHnfLGqmtoN9W0OkFyTfDrLGBdmuxBw4cmXrgcpoFieWDnmAyhJJYaeIUhOGFh1H7HUGXLeha8TdSGqFkey6Vj1Csbq2HsaDN5qK8g68nBl3BpJ+2CzqQWf1678oK3teleG5Cna9+ixKJqTt8qs+l0OICXp9Pm2qXyw5ekMGp5tipXd7dbnF4THFTM/RWDxTbs6KlPpkkDaFaK3hu/UhSVIIBJy1gsFYpxlkv9cBiu1pOUFTgYF3RhO4okVSnM1xvLr7CtRX1wMaqZnl/m8PvbrVxJLT5HtkLTtwXTJddurDJRBb4NlPTFl3+QsX4eqDodwTd84bjZlewryA5OWlzu5Nf1Dh7fSRGUIy9C2obVA8VRT93WULjr0fWGoLfYIPXK1fHk7pGilpgBLQ1XRvxvHZawPmqtIxICxJcBJvmhVGHXMmMv1QGYjE1X3KglTWwBvYVJKcbMLRM9el8GqGkw4LNaXtKsqt64ASeFHTYl0g46zVm0BPUAkk9kOzOyxUHuy3g53stDk8JbrcXGg0zDUWPsPjlXmuBAZZXqZDt4UlxvkVUnAh0I4M1neV2Z+57ZvOfdmSX3oNeJzXsepcJn0KqMm5ixR2ltBKxdDmzvF8nJEYsqA681ASRxJSzFGOHqSmHwYv0PAWxpC3Mcq3MsUtm2aGz9C8ypOIkrR6+aZ6cyM92a14qw741KPJvsMEGG8yyZgPu3vuffcu99z/bt8Lr/ffe/+xNl+awXhvaLEEtAtWUAImTuXZakBp4QkCHSPNZolgx5MxNxEOuIApXv6S1QNFrC4bc9RtK+wqKcm1tciOJEahYcaCgEEBmBQMBUiNBJILNzpvDOBh0JSpR1ENJhxb/P3tvHiTJeZ/pPd+XR51d1XfP9ByYCxg0MJgBQYCASK7IEUUdlDykzpUsrbTy2quwpQ2HJP/hdVi7kje8h9dhr3ZXWoUjHLa0CtmhNUWiKVIkQbJBkMR9DAYY9GCOnun7qvvKO9N/ZM/0UdXdVT3dcwD5RHQA052V9VVlVeabv+P9cXgLQ/XP9IXD2E/4yRbvraBc1/lYWucPT+j81IBCVoVf2KdSsOAx0WylIcTGYyRwXJUn082RkSMJQcGB3pYNDKtYjuTjWbVFA0PETvEDgWomOH0H5yU2bIWnUuHxO5WWHIgLUnYssqyIiIjoiE7OGGPAF7b4+68Az9/Wau4yWVVguKuCzfMFWXW9gDM9UFeSkY4nOLzSsacJGIoJkm28pX4gEK7CM5nO0hyH44KsCgMbi1+2wHQkH0lpCEDdpgsVwjq4w/dYJ6rCqjdXVqWt8UVZNYyQZYRYiV6pPLlJE0GfBmf7FGbKGgObpJ5cT2JWkvRaCT6TifE/nYjxYEri1GLrCs23wrAkj6eb13AkISkb20duLVfSrcqWDQwR9w8NS+FkWpCQ8NMDCpfLgpNR9C0iIqJDtgzJjI6N/wbwGyv/FMDvjo6N//Imm58Gqru4tjtOjxb6ad3E81lX95RRwVhjJ7Z2APyBlVTqgTZq0wAatsrTXRp/teS2vb6PZCSzDRjpYDaf6UiGE5I51yfZRs2H4920Erl3vOB+dVjlTEaujvkKBGbpXV5dhsomfQmH4hLTh+GVSJVhS55Ia/x/y83v9+cHVWYaAU+q211EBbgxUq6OYrnMuy6PtRjQvhkNR3KoW5BRAyprPmdHEpJyVTYVpW/EdCTZlNjVBoaIO4/lCgakwq8dUEkpggN+PDqeERERHbPdbXwGOLTyEwA9a/699ucgcBn4rT1b6R0gqwq8DRG4rjURuIwqsNYMqbfXWIkcjksKNiRbjrZqpm5JjiQlPVp7aVRBmD5tmJ3VBJmOQloR2G160TqeZH+8veiOIsKmir3kme7QwPbakk6y0kWimoZqGk1x+cfHFB5uUVMGqw0MyopoNWyF4ynBxpf2cErwcFriN2JoW3QPr0fg+RpHZWdRE9cTxAPJ412rz/PJHoUuFbItJndsxFl5/DbNxxH3PALbUXg8rXK1pHDwQ9D1GRERsftsedU4d3bkj4A/AhgdG/eBf3Lu7Mif3ImF7TU3S9vWDrru1gS+uV7AZdTVAe9ZVeCsCeA4rqQvGargwwlBzZRbDztYg+tLYr7C0xmVr+e3nxLwQEKQVGC4g/Rp+Dxb+9JtxHIEB1NhJ6q7jbb8eHc4H/L3r9jbbrsT9umCLwyqXMwrfHKlRkkGoHsqz944wy+OTPDfHoZv5B2eXfLWTQo7lJAY1mqkynIFA0JhJC14a8UORBHwhSGVS2X4mN5+VHPnrHTEpnReKJo8nBKcG1S4kJP8nVg7zy+YKcR5eKuZaBH3BTVTwdUEI+JOfO4iIiI+iHRyL38U+PO9Wsid5meGVH55/3r92q0KtGC9gNMEpFasQjIqeGvE0M0B8H1awKG4xHc7C400bIVn2rQTGY4JyjY7cki3HIVkmzVT5spg6xNt1HQ/lQ3d20/ugdODKuDvHVC5XoOn1ebFBAgsI0G8luTzfTGeyqxXzofiYsPc2zDqcbN4PHSr19AQHPZaNS7sDQ1bciotGdIFf29Y452i4BN6uoM9iKjY/QNAw1bQ62l6dmD3EREREQEdGPmeOzsyOTo2fmh0bPwXgUFaTyAMzp0d+We7tro95HBccDQp+etFh5oXGqSGJr6rF0fPB10IujWoeWEEzje5FdXxg3Bqw4MpSb8GfofWDoYdFjO3E+0a1AWNNjpcW1ExVWJt1uaBwHUVnkzrXKpvPrtzf0wwHBNonsoPdcW4WLN2tLbN+PygSkxAvxNH28Js0/ZUup0Yvzjo83rFxCccR5SU0LfheBi25Exa4ZluyecHVaYb4DQSHGzTrX43MB3Jvi7Bbz+gMlWHj4pU1JDwoeUDYrgYERFxV2hbwI2OjX8B+H8IhdtmZ54AuOcFnAIMxgQ9QuXTPRp/k3NvpUqza2alBoQdjH2aZMYMyKiC6oZ0pONJns7ouEHQdgPDTUxH0K9IjiThan3rbYdiEseRO3LuMx2JRvv1Woat8Hha4S8WN9/mqaxkzoD9isYTXX6Ts/zt8EBc8Ey35FJO42NtpBbLhsqxHpWnsoJXymE0tOEHTVYbDVthuEfw+QGF9/IKT6sJNO3ODiPxVzpibc9h2E6R2MJYOiIiIiIiYjM6kQP/M2AAvw48AjzY4ueh3V7gXjAUEyiAYSj8WE8ouro1QQBkNmha3xf0KqEJbJcKMbleuzqe4OGkJG9tPsdycwSeq3Amub3wG9QFShs2ILtBww4bLJJK67CgAjyRUagZKoatMhwTDO2i+e9n+hSu1+CpNq0VgkDgmDq/MBBbGTUlKJqyKbLl+YJ6TWeprPPJWNeemsRuxWJZZ7CRXjc0PiIiIiIiohM6uYIdA/71ubMjf7FXi7lTHIgJKi50mRqHej1GUoKYFNRd6NpgteH5gl5FIa16CKBLNEfgYrqgYe08OnYqqfLFLWw7YjIcyu7dIfd9xxMkA8ljackr5WZh9lBKEpdwSOh4K2bBT2dURnPbN2Pc5FhCkFQE79bWt8cO6oJH0pJrOR3RjuHbCmVDuRWF22pWaN3SeHgXZ2vuBD8Q6B2L/YiIiIiIiFU6uYpMsXaq+x4xOjY+BPwfwGeAPPC/nDs78sebbHsU+GPgh4Ea8Kfnzo78wXbPMRwXVCzBMAqBo/GTvTpv1l1MtznC5fmCblXemsLQvUEVOJ4gJiDwdijgbMmJVFiDt9mbO6gLEDB4x8yiBKaj8FRa55Vyc23bU1nJdF1wWg1TlA1b4WNbDGrfyKAu+C8PaiQU+JcTNotrSu1+pFdhqhFwusOu0NUonIclPJaMyCstIiIiIuKDSyeS44+AfzA6Nj68V4tZ4S+BBPAp4HeAfz46Nv75jRuNjo2rwNcIRd4ngf8R+MejY+Of2+4JhmMS2wmv7hVD5cmMwqG4wPJaC7heVZBRBYa3OmbrJrYbRu8yO4yOma6kRxUc3EKvDOqCqgOJbUYt7SaGLXks3fyakhJOdUn8NX50DVvhwbQgIbdPo8Yl/BcHVKYasM+P8w8P6Ld0VlaFJ7ISo6HvqLC/bCgciyskFOhXI/UWEREREfHBpdM8jgG8Mzo2/mXCsvWNQaPg3NmRf7rTxYyOjZ8mFG6Hzp0dmQfeGB0bfwb4TeDZDZv/HJAC/v65syMecH50bPxjwI8QCrtNGY4Lls0wQmO5gt5A4aMZyURJNEnacBpD6AdntBia4HiSXEHn0A4FXBAI8FROpxSmzNYpyCFdULPvbMeaYSvsSwsGdVhaEyF7PCOpuwEn19iZ2K5gEIUzXZKXW6RcbyKAXxlW8QPBkJWkhsZj3T6fG/D4yrLHp3sVls2AM+rOjE2DQGAbOqrqMiCiWaERERERER9cOhFw/37N///GJtsEwI4FHKF4e2dFvN3ke8A/arHtZ4G/XhFvAJw7O/IPt3uCrBpGkXpuRXgEdVMjG3ehheGt5wuy2s0pDK1FVBBoKLehr8I6OI2/2cTQdygmsHfYgbpTvECg+ApPdCnrjIafyirMVxWG1bUfnTDl+kNdMV4um5vu8yf6FR6IS3LFGMdjOn4AZi3Gzw94XGmYPNOtcK2gcuI2OjPLhoJOKvJKi4iIiIj4QNPJlfLonq1ilWPAjQ2/mwPio2PjmXNnRyprfv8oMDY6Nv6fCOvlFoB/e+7syJ9u9QTDMRXHF/SKBI4XRs2KDYV9SQcZSBxv/VtiuZBOKPQoKq6r4fi7X3xeM+GhlIMStE6R7tMltZqOE+zOc498f4nlwylyh7d24K1ZGh9NxnkuZyOBn9snGdJhqZbA2ZBKrhhwOu2iBRo+cCIJP9In6dEgrghiK/rz4rLOk3oaZ0UTOp5Kvxbwjw7BvOVzQqSbjsFGbh6DvTgWEbtLdKw+OETH8v4kOm73L9td8zsy8r3t1WxPmjBNu5bamr+tFXA9wO8C/wL4V8DHgH8zOjZeP3d25D9u9gSfks8gakt85caZdb9PTFsYrs67GyzuBpJlfuz4Bc6IbpbrXXx58cgOXtbWxBSbX3z0Jb4QPEnZWi+qpPA5qXyfr+ceZ7yR2ZXn23/9q1xtHOJ5//TW26ULfPrIe/yY/Qx/5/AlehI1vn35FCUzzbsbtlWlx9995EV+M32UQ5kCg6kyVwv7WKpnsT0Fx1ep2zHqTpyZDY9VhMdnj11gLneQqfJA26/jq1OfbXvbiLtLdKw+OETH8v4kOm73H4qi8MS+zf/ekSRf6fr8feAsMERYh5YFfgj4/Q0Rsp1QBjZewW+W9xc3/F4C3zh3duQPV/79+koN3a8Dmwq4cvplHN/mC0fm2lqQpvj0JGpM+JN4fowvHBlv63Gd0qvVqfR9ibHCRlsNKCiSMwN5unZjbmIQcOKlSfb583Qfmd1yU0HAYLLGk4/8vzR8wVwpwaf3bTwMq3RrBiOHprlYgZl8nIf0Cvu720xlevBEzwJP9Gy/qeOrfHXqs/zU4efQZIvCxIh7huhYfXCIjuX9SXTc7l+sIEWOT276904mMRwFXiPsEH0ZOExYl24TNhn81OjY+CfOnR3Zwr9/W+YJmxDWchDInTs7sjEytwxc2vC7i7DFqwWGYj61uo+mtvdBFiIgLqFHD2gID03Zmy+A7QoeTQqeK673g+uPSRp+OLFBiNt/bsX2UT2PVN5q67X4roISBDSqMR5LaMDmj8nXVCquzmmhIRI3jVH2znlGk+6eHY+I3SU6Vh8comN5fxIdt/sP39/6eHVS6f2HgAc8RhjlEgDnzo78NWH6cgj45zta5SrPAY+teMHd5EeBb7XY9hXgIxt+d4pmUbeOXl0QF+13jAYBiCD0aYvvYWG86UhG0s37H4oJKvbuDTDXzNCQOFbc3Dh4LYtljUGji+Nt+LJ5vqBXxqIGgoiIiIiIiD2mkyvtTwB/ee7syARht+ktzp0duQD8X8CP385iVvbzGvB/j46NPzE6Nv5bwH8D/DuA0bHxE6Nj410rm/8J8InRsfF/Njo2/pHRsfHfBH4N+N+2eo6AgOGOMscCPxBIIegWe2flYToKg7qgW11vwzGoC0xn955XNzxEEKA1fFRz+7uxAIHSgeCNiIiIiIiI2Hs6EXApYKv06DzQd3vLAeDnV/77feD3gN84d3bkxZXfXSGsu+Pc2ZGrwI8BP0kYjfs94B+s2bYlFVuQVDozxPV8gSIgxd4Z6bq+IBZITm0wzx3SBb67exEtzfSwNAVhBaSrUTg9IiIiIiLifqSTUNQ7hGLpX27y988CE7e7oHNnR+ZWnqfV38SGf/8AeLKT/deczsWQ5wu8AGJ7HIkyHIVPZnS+X1r1UhuMCXLG7gk43fCwYgpxJHrOhoFdaIyIiIiIiIiIuKN0IuD+FfDF0bHx/wh8eeV3B0fHxn8c+K8JTXh/a5fXt+s4TuczMj0fCPZ+EkKprvJEt8LDKcGlekBWBV1AZhdryjTDx5YKtpTo+SgCFxERERERcT/StjI4d3bkS8BvE6Y4/2rl1/+BcGzVOeDfbGeiey+g+p1H0RxPot2BMQiuLxGWzq/tC+eDDukCN4CBXZyBqhsejpQ4UpIoRAIuIiIi4n4nVbDpWtp8Ck7EB5OOfODOnR35k9Gx8S8CvwA8vPL4KeDZc2dHLu7B+nadbqnQqbVFqaEgggTcgXGkxYbKQ90qn+hxCBCUHejexdStbnoYCGwhiZfa60SNiIiIiLh3Ofx2iWTV4Y1zB+72UiLuIB3P1ljxefv32254j9IrNKBT4SIQd6gTMxzIHuOXBn1eqjo07N2N/GmGR81XcaQkU40EXERERMR9jR+QXbBIFG1iNQcrvXfNdhH3Fp1OYvg08DnCaQmtFE1w7uzIr+/CuvYMcSfCaLdJ1VTYH1f5aMbnarHzmr2t0E0P31expSTRcMEPQN7770lERERERDPpgo3q+HiVgIErdWY+0n23lxRxh+hkEsPvAv+arROJAaHJb8RtIajUdfrSHjf8XRRwQYBmeKAE2EKiWD6JuovRFd2xRURERNyPdM+b1NIaeNBzqREJuA8RnUTgfgd4E/jZc2dHpvdoPRErmI5CvB5jaBeDY4oTIL0Aafu4QhA4kCxakYCLiIiIuE/pXjApaRqKCgfnDBTbx9OjaTgfBjo5yn3AX0Xi7c5h2hq96u52oApAVAMQAlsqaHlv1/YfEREREXHnkK5PZsnCsiWGVKAeMHC9dreXFdEBJ19Y5sA75R09thMB9xbwxI6eJeKeQDc8fClwrDCs50hJLB81MkRERNwesZqL3ohsie40XTkbEQSIRReEoCZVuscbd3tZEW0ivIDeGYPByfqOHt9JCvX3gG+Ojo3/r8BfE47VCjZutDIrNeIeRDM8LE2CDHW7LSSJYnTSjYiI2DmK7XP66wsY3Rrv/ujQ3V7Oh4rsvEklrcNCeFNeUTX2TTZ43wsIlKg57V6nK2ehOj7pSQuCMDPWCZ1E4OpAgbAW7nvAZcLZpBt/Iu5RdNPDUVc7IhwpSVSiCFxERMTOOfZaAeEG9F+soRnNN4R6w+Xo60WE33S/H3GbdC+YlNeU2TQUFbXi0TvbfhSuZ8YgfheuA9LtzI/1g0j3vEkjrqKXnB1dizuJwP0psB/4M2CaTt1wI+46muFhK6ua3ZaSbNW+iyuKiIi4n+mZaTA4UedqdxcnyxaDV2rMnl7fBXngYoUD71SwkpK5R7J3aaV7R7zqILwAs0u7o1EvxfbpylnkYquX8UAI6qj0jNfJH05tuw/hBZz8Xg43Jnjj8we2Xb/ecPEVgRu7PWuE/ht1TryU583PD2MnO7ajvTtsESHLLJh05SxmT3X2+e6eN1lOxUk7Btk5EyOrd/T4Tt65x4F/d+7syH/X0TNE3DPohoezJuhqC0nMdFFsD0+/M0bFERERHwxUy+PBlwrM7E+jvOVQVnQGLqwXcNLxGbpap6yqHHmhyNKxNG78/jrXCC8gu2hSGk40/U2xfc58dQHd9AgkmGmNWp/OlY/34Wl72wmaWTLxFQHzHmvdvaqqRv+1Bte8gO55g4HLBsOTf8PSfiC5fh/d8wbSD0jcsDnyRpHrH+vd9PlUy+PM1xYQQcD4pwapDsZ2tG7V8jj+agGl4nPgrTLXP9G3o/3cSYQX8JG/mWfqdJbc0Q3COAg49lqRrkUTXxXMP5xpa583BfhyQsVQVJLTFox0tq5OPmE3gGjY2n2MZvq4a24gHCmRVkAqmsgQERHRIcdfKWDpEvNyWEBf1jR65kzi5dWo/uBEHV+BXFWDvMfRV4p3ccU7Y/BajVPfXKSvRaH5wXfLuJpkohZnvqRRrEoyF+scfqO05+vqnjcppXVw1keFaqpKsuTw9H+aZuS7y7hGgC8k+9+vNO1j4EaDfHeMeTvBoZdCEdKSIODBH+SxNYm1FHD62Tn2v1cJo1Idcuy1IpausGyoDL9VQbHv/WRe31SDZNHm+PfzTaUA2UWLVMlmyY9x4tt5svPGur+ncxYnX1ih3pbNAAAgAElEQVRGtbwNjwsFuJj1MBSFrnmr43V1IuD+APjN0bHxhzp+loh7At3w8P3VL3sgBG4giEedqBERER0wMFGnb6rBHHGURnhOsaWCbQqGxldsLIKA4UtVFjIJhCFYVBMMv1kmnbuP4gArr8EKJCe+k0c6q2JDr7scGK8ym0wQmBLD1jCWFYoVjYOvlEiUOi9PUS2vbVHUPW9SFc1JNE9IloIYC/EE1xsJylcUzh88xv7z6wWXdH36phpUPJWGqlKtKjz83PK613iT/ZeqZBdN5tw4y0acXF7j2PN5Tr6Q27SWTbp+0766Zw0GrteZEwlqjoZS8hi+2Cws7whBQO90Y/tavCDgwHsVFvqTxGfsJpuWA+9VyPXHqVZUKiXJI3+7dCutfvh8iTN/u0DvtQYHz6+3CumeWxXgplTI5u2O60Q7SaH+JGEjwzujY+MvAbPARhOxe36U1ocZzfTwA421zcOhF1zUiRoREdEeyZLNiZfyTO3vQntr/bmjrOoMvltj8ukesgsm8aqDVdZQAENRqdclJ8bynP/5YYQfFuH3zBrMP5TG6N66/ke1PA6+W8HVJEvHU9ipva+dyi5aJMsOE2qS4zMVjrxRZOKZMOX3wNtlahkN8b7D2hRmXdWwqjYnXsjzzn+271bdlHR9jr9apLg/3pyGA4bHKxx7tYCnSRpZDSOjMf9wF9WB5lSlZnqkijYLMa3laKRCLA5Xg/BvKlwYPsKvvm6SWbKoDMWBUAACiBkXECzFEhyZqXHslQJXP9F3a92pvMXR14tM7MugvR3e7FdVHaumMHy+hplUmHxqQ+o1CHj020ukCjZzIxnmRrrwpeDEy3nm9qVQz9sgBDkZ48BrZWZOZ+9o/aDwAk68nGfoao0bj3czc2bz6RVdyxbpgs2ClqLk6xz6QYmlY2kQgkTZoWfG4Gq2CwWXZT3OgcUGj3xtET+loDU8rg500fNWgwONMjOPZ2/VD/bMGywoccDDUFT0ep1UyaLWG2/7dXTyDfj7a/7/hzfZJhqlda8SBKGRr1xfL2ELSawQCbiIiA8besPl+KsFLn+8v23nft11OPXCIvn+ON47TtNs6bKqMbBcpWvZYni8Sq43jvLe6g3jop7g6ESdU99cJF1wkL6PhaRrxuTtn9nfukg8CBi8Vufom0VsTUFUfY6+UaRwKMHCg2kKh5IEezTPefhSheW+OOK9gAWR4OArJRYfTBMogsGrNa72ZFDc5gzGop7gyPt1+k7XyR9Jo9g+j4wtkcrbDIxXKf/ncZzEai2g3nB54K0SUwNptGkbfEkyZ/HgjMmbv3Sg6X0ZvFbHSqrIKY+gjURaIxan6qnsP1+h8uOhQBi4XieficFcuO9ACBZEggOvVeidM6gMxqkMxtj/fpWloQTigs26a4dUWDZ0Dr9UYvl4ikbvqtDcf6lKqmBT8DQGX69w8J0y9T6dAEHjeoCy8nrKms5ArsrQlSoLbdaO3S6K4/Pwd5dJFhzygc6BV8vMntpcQB547+bn2KOg6xyfq9E3GR7X4fEKlR4d5aaIF4I5NcmhqQblRzRmLRXtXZeKqtFftDhwocLkUz3odZdE2SHQwpsWXwgsT5KZ2SMBd+7sSDSb4z5GtX2EHyDsgLVfQkdKkqUohRoR8WHjgfNl+iYa9A/XWXyoa/sHBAGfu/gaHlCeESgt7vs8KTFMhcOvluguWFzNhJGJtX9fcmIoOZ/JriTMuaiVgGPU2H+5yvzJ9RfxeMXhwRfzpAs20/0p3KsusqES8yXJwOWhGzmcHoWpM90sH03tahQnVnPpnTK4lkkj8WioKo2q5MGxHHaPRqE/jvLeelFzE0dKipbGsecL1H82xsjzywQBXBMpTiyUOf79PJc+O3hr+yNvlmikNOyrHq6tQhWsQOGEV2Ngss7ykfStbaXrc+BimdlMiiBo/+a7oMc5dKnG1bP9BBJ6ZwxupFOINYk0Q1G5YSeIlQKk7TI4Y+F0KVSmBWqL7F5d1TArNg+N5Tn/s6EAj1cdjrxZYnIgDRdcaoEkJV2SrsdMfwpljV1GIATFQOfgy2UWTnZ17IPWKZrh8ei3lxCOzw2RQF92GXQaDFyvsXSi+TsQq7r0TTXCz4Dw8BCUPI3DL5Yo70swdK3ORHcKueY9DIRgihSMg3Yz2yUEOWUl2ngmS/e8iZ1QYNrn5ufnViPD6fZfTyTKPiTcHKPlV9f/3paSZOQFFxHxoSJVsBm8WsO0JT2X2vMMOzhe5kh+iUmZQiluXqtT1nT6rtWpZTWUa83nloqmU5xXEZc9RE3gSUnOjXHk+QKquXohjFVdHvvmIp4H12QK/4KHXKm3s6RKsaAxXYzTmIdjY3me/NIs/Td25mjfiv3vV6llNeS1VZG0qCfITJj0zhoUDI1W4u0meT1GbM7ho1+ew5GSuaKGNuuxoCYYvFClZ8WrrWvJZGCizoKMIe3V/flCUvI0Dr5YWle7NnQlrMFyb3SWOamqGqLiM3S5Ss+sGS59unkfrqJQr6hUFxSWFnRyVxTULY73gp4gc81g+FJYY/fgi3kq3TrBeyvHXgjqgcZy/makaj0FXSc9bzIw1frYDUzUefKLMzz63CKH3i6RnTd35CGXKtg8/tV5PGCmqqNNegRCUAo0hl8pt6w9HL5UobrhM5DXYmSnTUa+u4wVVxBX2zsOFVVDKboceKdMz7xJMRmDYPV4m4pCpsNGhi0jcKNj438O/Nm5syPfXvn/7Yhq4O5RNMPHUwS+I9adcxwhSdR25gIdERFxHxIEHH29SGEgjve2w4BdR2zj3J+dNzh2vsCfPPYz/OjL39py9xVVY6huUNBiELQ3a7mo6WTzNY6+XOTKp/vRGy6PPbdIPaWRuyFQ66334wtBydQpGwG9DZuT+WWKv5FoSgnfrHmaOZXFyDbPl07nLfSGR+FAAqRAuj77rtSYyiTXvQZPShbcOGgSZcLZ8pwZCMGCTKABhTmJWgkFgqUoVAyVE9/O8cYvH+T4K0UWhxIoF5r3l9diHJ+u0TNnUDyQRHgBBy9WmM8kUaY6nGMtBCWpM/RWFeNwjHxXHDHb2S5a4UnJshPjyPNFVDMgVbCZEEnUNkWWLyQlX+fEczn0ZzzmH+7CVyXCCzj2WoGhqzXm+lPoCw49iw0O2SW8LoV3PzNEvbc937S+yQYPfT9HbiBO5Tpo1VWxVtRiHJupkV0wKe9ftYpR7PAzcCObQmz4DJRNjewNg+sPZBFOm0JaCHIyzoFXy/h9CjPxJKyLfir0Fw2k6+Or7cXWtkuh/irwMvDtlf/fjg9EDVys6jLywjLnP7fvtkVNsmRjx5W77n2kGx6OKptejy0lqu0Ra7hYqeYTW0RExF1gD2+oemYNMksmV2NpNAUOVAy6F0KB0Ip41eHh7+aY3t/F1YFhfnSb/QdCcFXrwh8Pi+PbQggWlASH3iyTP5bgyJtlTF0hPy1R69t35gVCkLd1eqpV9r1fZfax9YaqfVMNhq7UiBcc3vnp9ed1xfZ55DvL6DUXM6sy82gW4QcEAvwbLnLDa6ipWtjC18ZLa6gqLMHGs/9yLM7RuRpnvrZArOEy56qoLfbnSUnFVDn0UonizycZulZDugHOtLej9FlJ0zk+VyWJx0Q2vS59ejuUVY1swebwm0UmDmVRL3QWHVzS42TKDgdfLDE8XmXq8Sz7rtTQ6x5XejJo79jYQqEG5AOFwYLJmS/PMf5jQxQPNvvz3UR4AQffLXPoQpnpA1145x0Uf/0b7UpJzVA4+FqZ8rmVffkBD5wv4eoSJpo/x3k9hu86eNNuR8ehrGr0F0xIQFBfv19TKiiGR1feojy0+Wtay5YCbm3d24epBi5RdcjmTKTj49+mwe3I88vkjiaZPNOzS6vbGZrpYWvNr8UVAhxIViMBFxFxLyAdnye/PMfcyTQzj2V3VcgJP+DoGyXmB5OoF8IUUiNQ6X2/3lLAKY7PyNgylaxO40oAR9t7Hl/IFpOyt8ZUVKoNhUe/vkRpf5zlRQWl0sFOhKAodfa9WWH2VGbd+zZ8qUquO87QpRoDp+osH12tKTvyZhFHFUwbCXrqDg8UCmhqwPRQGjm9Nx5lgRAsEmf/DYNrI92oFzYXUnk9ztGJGtkFg4PvlJnvTiJndia8XClpNBRUH8Skw65VUQnBvJYkHnj47zlNoredx1cCnWo5oNuwOV7MUzkQ44YVR5tcH5kMhGAxiNO7bPPoVxe49sN9LDzURazuEq+5xKsu6YJNqmCTKjr4ClwbzKC8YW/6XcrrcR64Ug89DIXgoR/kSZQdrmdSqFaLNLOULBsxpNFiZ9u8zmUZp8v3Ic86XRgIgRUopKfN3RFwaxkdG/8nwNfOnR15fZO/PwV88tzZkf+93X3eqyhOAB7EbY/GbQi4eMUhUXZIFu5+jZlueNiyxZdVCFwkWsmBfe19aCLuD6Trh07tUWr8vqJ31kCxfY5+r0Cs7nHt6V64zS5L4QdohsfgtTqa4VEvardO/lVFpe9qg2tnN0T9goCHfpADLyCfVxDW3n+OlmIJsrbNUlFDK3Yunkqqzon52jq7jHTOIrNscUVPoTk6x75ToPBrSTxN0rVksu9yjSu9GdSGQwmdkhGQ1F1MO2iKnO0mdVVjyhL477tN3bxrcVYiRCPfWAJdYJf825JdS7EEmuWDtbsxGUdKnJK8rbUFQlB0YhTtACqgbTaxUwgKSgynIDj+nTzHXysCAb4UGHGVuq5SCDSWY6GBtDK7dbrbUhSsuuDh7+RIGC7lbp2JIIn23u47NFQ0nUqBlhFcQ1FIzdjwZHv72lbAjY6Ny5Wn+gMgPzo2/uYmm/4S8NvAfSHght+rEAiYH2luXVYcH98HveHRSLd4cJv0zBlhbUnu7jtNa6aHs8lJwpECrbQ7ofSIe4fHv7rA3MNpFk7emfb8iN2h/0aDXHccd8Zj+LUKuuHx/g/3t10Xs5bBqzWOvFVCMzxEECAEXN+fQX179cJUUzX25askSw6NntWaokMXymTnTa5pabS8i6fufRmILwRFM4Zm7uyc6UlJ3VTY91aZyk+EAm74UpVCXwzlPY+8FiOzVOOB18OxUQ++VGBxKIl6YU10RggajhbeyO8xtlQRbdSt5/U4R5bqTJzuQc7e3rnaUhSsyj0+zqzNm86qpmPWVURK4FkBXgUQN78nNz9D7e0rp8cYnLG4PpIleNdBc+/8NdFQFLKbTcNowZZnhNGx8X8KOMBNS+l/u/LvVj+/A1zrfMl3h8ySRd9y6/in4vgEPiibFM62S++MgW+Hrcu3TRDsqPPmJrrh4YjWh9sVEq0cCbh7lh2Mq9HrLsmSzQNvlnb0+Ii7g+L49M4a1FwVS1GYMRN0Xwh904TX+jj2TdbRzObvr2Z6HHutyHI6zqSSYMqKM7Ecx397fVTBlRLLlvRfXnWYz84bHL5Q5npPGq3Dbse7TVHXGbpUR7U8NMOj/0advK+HokAIFkWCg6+WePDFHIrlUZ3jno9SW4rCtJfAvs+OxZ3AkRI7J/Cqco1465y6qnHdSMB5F+Henc+DIVXSJQfFau96vF0E7jzw54QS9teAV4FLLbYLgBzwf7a/1LuLZnmoQWtBpDgBBKDUdy6YpOuTXbSoqhp6i5Nrp3TlbB75zhKv/vzBHXkdaYZP4LX+cDtCEqtGJ4Z7jXTe4sEf5CkeiHPjo5sPmW5FdtHE1STJSYvuBYPS/tYF6hGdkSzamGkVv41B5YmygxOXt5zX26FnxgjT3lOhMagjJTN2ggfea3B4qMTkR9fX0vZN1hl5fpnyQIx3fnJ9cf7h8yXMhIJ51UNYgq0Sb1VVo+eywdTT4Q3nye/lmN2fQnlr69TTvUhdUaFqsO9SDRkEGEkV5bLNzXhFQ1UxqpKhSzWuHM6iTN0f576GqiGq228XcRu0KjO6g1hS4htw6jvLvHd2AGubJtvtmhieBZ4FGB0b/xTwx+fOjvzFbi32bqKZPtJvLdBUxwcflMbOBVx2MYyLO5WApNZ6P8ILiNVdzMz2zQOxukus7pJdMint77xWTW8xRusmrhTEIwF3z7C2c8rUFAYu1ncg4CwK6RgZx2f/GxVKP31/CzjF9jnxcp6pM90tbSDuBMILOP31RcrDMcY/NbjltomSzeNfW8DTJBc/M9i23cHA9Tq5rhhiZvV3npQsujEe+EE4faA6GKYGYzWXB18sMD+YYvhihUMHy0yfDkcCJYs2+y7XuNrXhdKiCHsjVVXjyEIdreFy8gd5jISKcdm75Zh/XyEEJUVn31sVZBJmu5JNdiYLsQRx30e+u34MVkTEXUUIrsfT7Lts8pHSHG99JgZbnGralpvnzo4c/aCINwjn6imN1ikJxfEhAPU2BFzPjEExo+PaEs1uHYHrn2xw6tuLba7Xx/cgO9Fp2wvgB2GKpcWQYghTqPFGJODuBTTD4/TXF9j/fpWJoS6KU5L0gtV2SP0m2UWThlAo6jqDl+vo9bvfSHM79M4YDE7UOf3sPKlC50PCd4Psoon0fIbOV+mZ3tz8VrF9Hnl+mUJvDGfG48yX5uib3N4sV7F9euYMak7zfXVd1ahWJA9/Mxw2LryAh19YpprRqF/xWXTjHPlugfSyCUHAsddCnzdlvL3jbkmJ3wg49a0l0nmLBUO/NaT+fqSk6nQtWEg/wG/hl+YJSb2qrjNSjYi4F3BXou7WrM/pr89vuW1H04BHx8Z/EfhpQk3Y6pYyOHd25DOd7POuEAQrXTibCbgg7NraqYALAnpnDeb1GLoI0FZOuBtTn7rhkWi0meu2wqhgdsKAT3S2HG1ljJY0/ZZpFEdI4oYXmfneAxx6t4ywA25YCdQLLpZQEI2A7kWL/OH2omh6I5yz5+s6hlTwajD8bpUbT3cWxesU6fr032jQlbcp7o9TGo7vWnCjb7rBQn+S9HsNTj87z7s/va/lkO+9pG+qQTEbR5s0efBbOd74lYPNM0SDgIe+n8NHUJqVVL0EPcsmI3+7yOQzPUyf2dwWpHe6gadJ5FTrqNCtYeMvF3BSCrGax6wTR7d9aqpGuuIw8s1lbvxQT+jzpqdQN+vi24gQVBWd9JzF5WPdaBfub8HvSUnJVmnoepR2jLj/EIJlEqjlrbMNndiI/D5hJyrAMmHjwn3JTYGmbNLpdDOFqho7i0olKi7xqkMgdTwhkE6AbnlYyfVvt254KKa3rQs6gGZ7WLpC95LZkVMzhFEdAQS11n93pEC1fVTLw413pOkjdhHF9hlacf5WF1eEvRA0hEL6htm2gMssWjgxBTHjEQhJQdPZd77K5JM9uzor8iaJssP+96sMXgtH4VR0jZMXq0gNlg+kOZ9agCM73790fXpmDW4kU9RFgoElk8dG57n4uX2U9zcPfo5XHI69XmTqdJZa/y6JvCCgb9pgJp4APc7RhRpHXy1w9ZP96zY7+E6F7OJK52YxPH8U1ThW0eGB7xXxdMHcI9lWz8DAjQa5dBymW99YBkIwJ5Icer2C169wtb8L/eL6MU8PTNc56eSYHU6jXujsBjSvx6gqAcqF1vM97zcW40mYuNuriIjYORV168H2nVytfxMYBz537uzI1O0s6m6jmaGgUTaJOimOTwA7bmXvmTVopDWY8PGEABdiZrOAC9OaoTizE1sfCtXyKWVidE2b9Mwb5A+l2l6Pbnh4isBzRcvzsiskwvZJ1V3KkYC7a+y7Umvp/G0oKpnp5tZy6fr0Thvkjq7/LGQXTcpJjWAl2lpWdQbzVfon6ywfuw1fnBbEKw4f+coc1azOZCZJMOkiG4JSECeluUjf5RfMHyCdGpMf626OWLVBdsEM340595YRZpCzeOwr81z/eC+zj66atqZzFo9+Zwk3EJweXeDdnxq65Qd2O3TlbDTTI6i5iJURSQdeK7N0IkV1IE46b9E7Y3DwYoVrQ11oG5zoG5pGrhZwfKxAeTBOfYOwVC2P7nmDiVQXks1vHC1FYdnQcFIxlHebDU7nRYKs7WLMBB37cTlS4pQ7fFBERMRdo5PveB/wF/e7eAPQLD/0RHJpac2h2AGOKlu25rdD76xBMREDIQiEwA9AqzWflDXTw3cI05dtrNmVgrrQyFzprA5OMzwsTdk0dRMIgRdI9HJUB3e3EH7A8HiF+XSiyTC1oShkl0zw10dmBq/VGfnuMtm59Z+H7KJFbc29WSAEZV9j3xuV9hYTBPRfr29qW7F2u+OvFCj1xshfkYjx1WHjCEHd1cgVdf7sYz9C74U6T3xpjux85zWcfVMGha4YYs2+c0qcpYLGkRcKnPrWIprp0TPT4LFvLJLrjTOb06gtwamvLJCd78BXyfXpnmteY+90g0pGR+TDNRiKSrWu8MjfLvH0X01z+huLZKZMJga6kG+3Tk5UNJ16STDyjSUUe/15p3fawNNvpk+3pqzHaEzQ8vtsKQpLlRiyEFnHRER80OlEwJ0H9u/VQu4kquURBALhBmitBJzrYysKutV5BE46PplFE9NcPbl6QiJrzfvSTB/cAK2+vXBSLR8/CFvkuyc7uwjemoO6BY6UKJGZ712jb7KBavu4M82fE0NRiTVc0qX1jp8DN+q4FjzwYvHW71TTI1my8TdY4BQ1nf7rDfTa9gKhd8bg4ReW2ff+1sVDfVMG2UWTXF0Df/OU21KmhxtWCnPW57GvLDDynSUyi+Y6f7pE2eGBN4sMv7dBZPoBfTMNKi2SBTVVZ7qWIDFu8sQX53hkbJnZ4RTGBR9pCHJqgtqy4NTfLNAz28Z3xg84+UKOU99cpGdmfdNB/1SDorK+HmUplqBSlUwmUkzU4+SvKoh33S3rSBf1BPq0w4nv5SAIUGyfQ2+XOPZakaVMHJz7P3UZERFxZ+hEwP33wK+Pjo1/bq8Wc6fQTB9LV8ALWoo01fHD6QQddv4BdC+YBFIgZlcvlJ4QqC1MgTXTQ3gg2/CbU20f3xehgMtZqGb70bJkxcVQt06NukIQK0URuLtCEHBgvMJCbwJZao6c+EJguZLs5GokSa+7ZBYt5jJJeicaZFYiW9lFC1eXiLn1nylbUfCMsPN5Ow6+W8EOJIdeLG0ahZOOz7HXCswMpVEnt/+eBEKQ9+PMFmKoEzanRxc487UFDr5T5vTfLvDRL8/SM2lw/IU8XWucyDPLVtjAs9D6OVwpmbUS1BcCJntSuG+468RkTktQWZY88rVF9G06rY++USSzbFG2VB78dg650rWdKIcj8fwNxyYQgpIdQ1z1ELX2hFcgBHMyweDbNR5+fpmnvjjD0NU6090pzGt3f2JLRETE/UMnBU+/BRSBr4yOjd8A5qGpxSk4d3bkU7u0tj1Ds3zMmEJXIFBbpEkVJ8ATEs3xO+7M7MpZVJIazK1qY0+IZk+5ILT2kF7QlmGwZnnga1hSEjQCemdMlk6E9UzCC3jwpTwzj2bWjcK5SbJkUwg0mg/XKo6U6JUPnoATfhA6393mLMm9pGvZIp23WdDUTWcvGopKetKCj4T/7p9sYCYVnMmAqqXywItF3vm5xEr9m04QNN+b1RWVzBWTuUdbF9EDdC2ZdOUsriZSnLxWYt+VKvMPN4/iOnyhjC8E9nWvo7tAS1WxSlD2FLp8j8FilWJfnKVkF/KaizAFJ59b5s1fOoCvSvqmG5SzMdjKbUcICkEcLvm0KvLMazHSS3WOvFzk8o8MtNzFvver7H+/ytWeDNqUzZFCjSOvF5n4oT76phrUuzS45u9Kl7YtFZYtndQNi6l9aYKrDsLaeh5mRERExEY6Ofd+bOW/UyuPOwAc2vBzeFdXt0eolocjJb4QSGO9qBFegPQCPASKG9y6C9/4+I31SDdJlF0Muf4y7AqBvkHAKU74PD6gbGclEgRhFMILLyB1qdJ1dTWScuz1IoNXa/S/36LNNAhIFh38bTJnrpDEah+8FOpD38/xwFul9jb2g7sydurAe1XyfXGU6c0FdkNR6V5TPzZwvU4uFYdAkIvF6ZtokFkIU5pV2fq+rKZo9E43tnyNB9+tkOuLo0x5FIm1jMIlSjYH3qswk0wg2yyr24irKBSrOgsLOtZFHznpAYKlWIL4rM3hlRFgfVMGRXmbxr1CsKjG2X++QirfPHiyZ9bg+KuFcEbouEOwZtxSKmfRN90gH4vtqsVORdOZz8fgontHhsRHRER88Gg7Anfu7MiRPVzHHUU3fVwh8RHIDWa+ihtG3XwPhBsQtz0a+npBduq5JeYfTrN4oqtp38myQz3QWRvt8oRA3ZC+0VesPRxXbOs3p7ih7YlwAyBMo/ZMhWmm/ut1hi5XqTsKqSkbnln/2HjVRXF9pOGyVazEEYJUG7V49wJH3ypwwpnd1ppCeEE4j1YVTSOIWvHgS3nSBZuLnxnETu68GzdWcxm6WmP2kcy2XZea4dE31eBapgspNn//G4rC/rKB1nBR3ICunMViTEMSRk+rhsKx7xVIGi5eTG8Zy6mrCgcrDl15i2p/c2dmomTTO2NwNduFIlwKms6JhSpDV6ssnAyjcPGqw8h3cxT64ijv7b6LfSAEi0Gcwy+VaPRqxGsuvvBv+1lMRaVelxz/bp4LP7P/lhjrnjN4+LvLzAynEG+t2mc0VJV6VTLy3BJx22MxoXXc1RkRERGxl+zonDQ6Nv7A6Nj406Nj492jY+PtzYi5h1BND5eV1KbVHBkTgGcAHugtomPxqkNfi2464Qeh/9uGm3xPSPQNnaaa6REIsHyJZmwt4FTLD+cw10KxWVdVuooW2TmDB1/KMzXchbEM2eXmbrtUycHVJV5x60ugKyWx+2AaQ6zmcvhiic+8/zZikyjoTbKLJorrk5qy0LZ5bYmyw+C1Ouqyy5ln50mUd2BzGATsv1TlidE5Drxd5pHnlrbt5OybbmAnFOS1racLOELim9AzZzBwo0E9oyFnVj9TuVic7usGgQpitvVr9YXEcBW6r7Wugzt4sUK5N4ZyJXztgRAU0MMonB+QWTA589UFDL8MtHgAACAASURBVF2hsKDsmYt9XdWoVwUPjeWoZjTEwu7Uhi3FEvRcbdA3Fb7+/ut1Hvn2EnP7ktjvhBHAtSzGEiSmbOykgrxP5mVGRER8eOhIwI2OjX9hdGx8gtAe8UXg48B/NTo2/vbo2PhH92KBe4Fm+XiBwBeiycxXcXxEAI4nV2rX1gsv6fiotk9yvvmCG6u5SD9AbLj4e0Kgb3gezfSxNQVPSrRtbERUy0P44K6kWsKLueDUtxYp9Mbw3nEwVZVk1WlqbkgWbepxbdv0jyMkuuUhnXs7jbrvSpV6WiPuOgxObN0l2TtrUOiO49fDSNxWHH67RKk3xmxex5/1OPPlebqWm9Ntm5EoO5z++iIPvFVksj/NdCFG16UGJ7+7vGXKsm+yQT4ZgxY1a+sQgoaikrphhenTWIy1gsORClVLxRQK+Jvvq65qdF9rfi/0hsvARJ3lQF+336IWI7lgc/K7y5x6bpGl/gTFCVAKe1twvxhLQsGnom//2W0XV0pKjs6x5wsMv1fhoe/nmDrQhfOWh3Cbn8MXkjkS5OoqO7zXjYiIiNgz2j4rjY6Nfxr4IlAG/gWrZ/nXgTjw/dGx8Sd3e4F7gWZ5BF6Y5FQ2RL9U28eX4PsCD9Fk/3Ez9ZlYtJsuzImKg6dKvMr6t9UTzR2tmunhKHJF3G0tmjTLx1XFLWNWhKCmqLhISnMKwhXYQoIZkM2tF5apkkNd2T4d6EqBtAMS93AUTngB+67UmE8kee3wgzzwcnFzcRQE9MwYlNGoSY3sFt55iZJN/40GeV8HIZkPEhgLAaefnefIG8Vw9uYWIixZtDnztQUcBBOk4IKL70nmvAT9b9c4/mqh5eNVy6N7wcSw2/saGorC4LU6ybKDW2ze33w8weLM1se6rqj0zJtN/ocH3qvS6NJQLq///PhCUPR1+i/Xub4/g/W2hzT2vmbLF4LrMo313u7eUOT0GIk5i6NvFJnYn8F/w9kykmgoKmZus9aSiIiIiLtHJ7eV/wNwkTDq9h9u/vLc2ZFXgKeAOeAPd3V1e4Rq+uDdTKFuqIFzAlxFgggjdBsH2usNDxEE6DWvKXKWLLs0YiobUzGuEE12JZrpYSsy7Hbdxq5EtXwcZf2hWoglmFnWVyMhQmBKlcT0+qhRqmhje9tfcD0Evgfxe7gTtX+ygfAC3HmfNw6fIL0QRqNakai4JCoOfsWnrqr0TG0u4A5fKFPqiyEvr0ROhWBZSZDPK3S/U+cjX5rjo8/OcfBCuampJV5xOPWtJQp9MYpXQJ1dPZa2VJiz4wy/VObAxeZq/94ZA1eXyBvtpWsbikqi4lDJak02ITfXHYitv9INRUGte/SuMatNlB32j1dYiMVbRgJzeozJWhxxfmuxs9sEQrDbka9ACGZkkhkvhjzv7GpjQkRERMSdpJOz4zPAs+fOjjRdCc+dHakAfwk8vVsL2zP8MMomHD8UaE01cD7uyrxIt4WAizU8jLhKYAVkN6TYkmWHRgu/NU8INHt956pu+jhS4iHQtjEMVm2/yYg3EKLJKsKUCum51TVJ1ydecfGtNjorhcCVEqXYfsRDNT0Grm0yYHUP2P9+laWeBKIKlqZT8MMuyVbRrZvjzMS8T11RSZVs4pXmtHdyJfqW89anDgEqSoylnM5ULkZjEfa/WuajX5qjdyrs5NQbLqe+tUQ1rVG5GiDtZjFgKipLZoxjzxeIVdeL477JcPZl4LX3NTSlgjR8atptpBXFhmkeN6cp9MeQ45sISSHwgg9OFMpUVJxclBKNiIi4v+nkLOat/GxGACRubzl7j2qvjNEygxUBt/4lKY6PJ8O3xROiqcFAXxlLZUqF2IY6uETZwWoRofCERHpBKOJW0EwPB7Eq7rZas+Xjyu0PlaEo6+q2kmUHQYDItSfKHCHRK+0LuIEbdU6+mGs5jmy3SRVsMssW9erq+7sci5OZMemdbjH6aMagsGL94EqJYwt6bzQX7x+6UKbUG0O5vHkUzFUUylWNuWIMYzZg5OtLPPLtJR791hKmrlCYlqsjpFpQVTWcYsDRlwq3ficdn555k4bTvjAKhGAylsaauL20Yl1R6Vl5LwYm6nQtW+Qq6pbTFCIiIiIi7i06EXDfA351dGy8SaSNjo1ngL9LWA93T6PaYQ2bXw/ThhsjcKoT4K2YvnpCoG5Ik+oNF1sqWFIhtbD+op8oO/gtRuGEA+0DYuZ6AResCDjVDbZsHtDs0LduO0ypkC47KCuCMFl0MOMqgdneYXaFINbBPNSuZRtZ9+lean/W5E7Z/36VYk8M5cbq++RJSdnTOPzi+lo4xfbJLppYa/y16opK5v9v777jJDnrO49/qqrTxE0TNkmbtGJLQgGBLAmEpMYCERt81mEwYMHZGBsOfITD3DlgbA5wACeMz9gYRPJhMJbKMkkShUBIoKxdSbXarE2zuxN2Yuequj+qZ7anJ+zMzu7M9Oz3/Xrta6YrdD09tT3z69/zPL9n7/h2Np6cOvs2mdAw6POTHO5PktpVIChB94kY1uDpM5zHEw107hiiuSdqw8ojOQITjEPTzz6tlbNmfj+nMhyL0dpToPFkgc2PnuRwRxOxaWrQiYjI4jObvwS/D3QCjwHvJ8q4vdpxvU8CTwGbgI+e9RaeZfFCQGiAX4wGSsdKk3ShGqcCuNpxbomcT9EwKJgWzVVFQWN5n3jBx5ikJEgAhIFBoqrOWjwX4FfG4RmlkOQ0WbhYIcCfQYBRME3MfEBrbxQUNPUXGUnMvJ5ZyTRJDs28fEZrd4EwD00Hzm0AZxUD2veN0GtM7DrsjSdZdjDHhidOFetd3pXHjxnjymmMWPFoJupooBdEq1f0dqTGymbMVMm0OJZN0b0/NuPZmAXLYiRrsvknfZUCtVn6WlJQmP+uvGKlJMnz7z5BMWFR2r14xz2KiMjkZvzXI5O2twMvAwrAB4hSFu8GfhewgDdm0vaPzkEbz6p4sbKwu2lWui8nBnCBMdqFak6YIZrI+viYUbar/9TsxMaBEpgQ9Ew+uNw3TKyqGa3xvA/lKOtFAMlpSonEC8G0fdfV18lj0Xg4CqiaTpbITlGVfzKzWY0hnvdJDZXIWhatB2debmOmGvuLrH52iK0/7eHK/+yinDQx9k8MNMqmyZGgkQt+cpILH48WdV95OEtfcxKqxqRlYxYNgyWa+6K2rt05RGqwTG+PxdkuRjuVE8kGVuzO0vZclpWHcwwFCzSuzDAYtuIk+sociTVM2/0rIiKL06zKzWfS9sPAlY7rXQrYQCOwG3gkk7bPoPLp/IsXfIqx6A9nwMQMXKwUjgVLvmHQWDNGLpn1CYIYBTMK7hoHS2SXJWgYLJFNxQinqMFVNoyxNU8NPyReDDCMaGmsIDSwRnxom7zNsUJAcLo6YRV5y6LpaJSBazxZpC8282GJJcOkJVtThqSvSClpUmwa/1+lpbuAHzcZzpq0HcvNes3Y6TT1Fbnyri5yjRbDiQTHrSSlPBOKLo/KxmIcy6a48CcnMcJoAsPhVAPjV8MwyZctVuzLUUrE2PB4Pwc6mok/OX/Zp7JpMlCIc/E93YSNJsbhMvMVPNbqjSdJxANiXlEzMUVE6tBpowLH9VY5rvcpx/X+X9XmfcAbgS8A9wP7HNd7/Tlq41kVy5+aZRoYTNqFGlR3oVZn6MKQRM4nLIX4pkm5ZNB8IsroNA6Uycanjod9oxKkUVmYPgyhMsO1bBiYQ1N3xcUKAcEMSoFANA6u9USBeN4nkfOxZrG+adk0SOVPzZY1/JBLfniCzY+dnHBsS3eBwaYEWTNGaqRM48nZjeVKDZbGdUFX69w7zMDyBMf2xxneBcGuAOvI9F2Vo0HcBfefjLKmk0zcGInFWLYvz9af9TK4PAFPz/9njp5EilhPmcGWBCxg5qtoWQyfPHtFckVEZH5NG8A5rtcMPAh8GLi0atefALcCDwOfBoaA/+e43kXnqJ1nTbwYjE0IiCYQBOMHwJcCgrA6gPPH9seKAWY5wKx0q+ZNi1RXFAQ0DJSiKvhT8KsWtI/nA0zAHxkNJCeWKxnfZn/6+b9VcpZF88kizT1FQssg6J754uwlw8QqBSRyUVaq/cAIyZEy7U8NT1gSqqWnyJBp4RsmxbI5bZ21CcKQ593fw6U/PDFhOSwjCGnfP0KfOfvgYjSI6zUT0Dtx/4gVY9XhLC3dBU6MxCetvn+uBYbBYaORoa55v7SIiCwhp8vAvRPYDLw1k7YvA3BczwDeDjwLXJ9J2x8mKu47CPzmuWvq2REv+JQ5FTgZQYhVlYWzSuFYuTYfA6scjhVvHV2FIRyIDiiYFk3Ho8xTw2CJ6appRAvaVzJweZ+yZYx1t05Wb25MGEYzZf0ZDpY3Lax8QOe+IUYaYhNqxU2nbBhQIlrUPgxZ/9QgR9uaiPWWWVG19qsRRIuplysrCGStGE3PzXwc3IqjeZpOFmk4UqTtwPhCvMu78lilgLDrzGZFZmMxBo7FJg3+slYMMxfQ1dFI/ODCLRmWt2KUB1WHTEREztzp/oq8Gbgjk7a/XrXtSmAl8JVM2g4AMmm7H/g2cMtcG+S4Xqfjenc6rjfsuN5zjuu9ZwbnJBzXe8pxvY+f7thYMTgVwGFglCFR9sftHwvgDAOjHJKqlPhIZH38mIFfin5sBSuaiWqWA1JDZchNne2qntEar9SSG7dvigDOKoUYQYgxk2K8RKUuCqHFqn1ZRuLxGZ0zxjAoYRI7WWbFkRyp4TLDvTASxljpnQq0GvtLWOUAozfK1GWtGMu7ZjgTNQy58Ml+jq1qZGA4xppHxq9Q0LFvhN7lKYyB2TV9Rpc2DHYnWyluX9zrvYqIiJzO6QK4zcDPa7ZdS1RC5N6a7buBC89Cm75OVBD4RqJyJZ+Ywfi632d8F++U4gWfsKqLlADi+aou1HIw1l3pGwb4UeYNogCuELfGsjt506RpsETjQAkzDOHk1Fmj6hmt0dqmZtU+g1hu8sH0sWKAAZgjM+8KzVsWRj6kMIvs26iyYRDv91n/1CDHV6aInQgZisVp2zMy1pXc0lMg1xAjrARZOSuakRufwTqqo9m34ZMmfYkEqw5kx8bCWaWAVQezDAazmlszK4FhqGCtiIjUvdP9hW9i4jS5FwMl4PGa7RaQnEtjHNe7nChwuy2Tth/NpO1vA/8AvGuacy4j6up9eibXiFdNCAiJYpJ4/lTgYRVDGB3vZUSFdkcnAiSyp2awQtRdGcsHtD03QjFpEUwzKL1sGCTyo2PgfIpmdQBnTljxYVSs4GOEUCzMPOjImxZGIcQ/g+oeJdNk1XNZWk8UGBqK2jgUi9F4skRrd5Rla+kuMJhMjAWyo3XFVhw9zTi4quxb7IhPybTI5k3WPRpFgisPZvEtA2OGa4OKiIicr04XwB0Arhh9UBn/djPwWCZt1047vLJy/FzcCOzIpO3qId4/AdKTHey4nkU0E/YjQM9MLhAr+FA+FaAFhnGq6zOMxsNVD9j3MTAr9duSufGBV2gYFAOTtr3ZaBH7aQbd+4ZBolKSJJHzKRnjM3C19eZGRdm62S3qnbMsYqUA8wwWpi8bJsu6C/S2pYg9F7UpMEyyZYs2L1p+qbW7QLa6PYZB1orRvG/6btTq7NuovkSSjmeGied9OvaN0NO6MMVtRURE6snp+qr+Dfiw43p3At8BfgfoAD5bfVAlc/bLwN/OsT2bmRgEHgVSjuu1ZtL2YM2+9wMDmbR9u+N675jJBaxiSDE0x7owS6ZFMGJQ8mOYpYAwNCgRozi637Kgst8aCckRo1DV/TkSj5PqK9OzpmHc9gnXBcxSnlLZwsxBNrTGjs8HAalCiZI/ye3IGeStGIXYzMezFawYRSNGdigGsdl1F+ZiZRr8AsfLDZjxU0FlX7KBFbtyhFcbJAd8iimLoCobOZhI0nykOPE1hCGmH43jW/fEIEdWNePvNPFjo+MIY7SNFFn/0ADLjhY4vmwZYWz6CQyjP4vZ/ExkYeheLR26l/VJ961+FWLTh2inC+A+AbwS+JfKYwM4TtStORq4fQj4JaIM2J/Ooa0AzUBtP9xw1b6xAM5xvS1EmbdrZnOB7nwbt1/ziwylGgH4bw/+gEf6t7L9wCaaCzm2Zu/iize8Zmz/mx65jwNDnfzswDZaj93L02su5NHXbR17vht27+C6/Tu5t+UFPPa6qauorBgZ4jd/+j2+u+dmlh3/MdvXbeTxy6Pjt3Qf5dVPP8IdB1414bwXHNpDMTjA7a+7eTYv84ytHujj4hNH+PHWy8aNKmwu5HjPfXdx8MGtXFAs87mXvH5cxnFtfy9vedjlrr0vp2zFuPj4YV7+7BM050/dzv5YG//4klsY3jq+uPCVh/dyy9OP8XRTJ//0/FvgspkFnV981Zvn9mJl3uheLR26l/VJ963+WJbFVdPsnzaAy6TtrON6LwbeAbyIKEj7+0zaHu2utIFfJZrQ8J6q7WdqAGiv2ZaqfK2tJvuPwJ9l0vbe2VygI9XN2+79V4JKCY8twwM0bjjB5o07aRgssqbhOLf98BuU/Si7tGFkiHWtB1i9cT+XPHaQZX1HuPrJB8eeb3mxwNp4jhf35PmFJx+Y8rpWELBxuI9bV38HO3mc1p6jXPNEdHxjucSmYIg3bPjOhG7YC4dOsrwny2/9x5dn8zLn7JKdtUMcoX2onzc2dTPUluC37vrKuH1GGLJxpI9fN7/NqoNZVh3OcnB9C7njZQzfICyHBD689QffnPC8RhiyLtePv2H5hOedTCEW54uvejPv+O6/kCxrvNxipnu1dOhe1ifdt/qVbWrBe9H1U+4/7XS/yli3f6j8q3Un0JpJ29kzbuF4XUTrrVZbD/Rk0nZtZi4NvMRxvT+uPE4A1zuu9xuZtL16qguEFsQL5bFAyQhDUoUycatMyi9hEWDly1hGpRsvDEjlSsTNEql8ibgVw6waWuYTEi+WiQ8WsKYrDBuGGH5Icy5PslAmbpbGnscKfOIln5RfxE+OLwacKpUILBbFGy9rWSwfLDGyIjVpewqBySU/OsZge5J9TU3EniyOzYAxiLqRLSbvHj0Ya6C8u0RyFsV1k+XSovi5yOnpXi0dupf1Sfet/vjl6cexz6leQyZtz7D414zdDXzKcb3OTNo+Xtl2M3DPJMfaNY+/DDwKfGa6C5QsE4xTkxQCwKrMDrVKIWXLhJoJBvGcTzwfRPXY8gHVEwqKpsXesIlg4mpT41VmtMb7fcxygBGGjE7w9Q0Dw4dU0WekJoCLFQP8BVovs9ZgLE7bSJFSyWSypSF6EkmCBouRw1OXRZlKybSiuc0iIiJyWueu4NYZyKTt7Y7rPQx8yXG93wOuA95NZRZqZamu45m0PZRJ2zurz3VcLwv0ZtL27umuUYpZVAcfvmFEKx0Q1SEbXSd1VGCYxAsBiWxU/tcfmuQ5jZn9GH3DINVXisKxoaoADoPQh8RImZGWxLhz4oVgwqDAhVIyLY6UU3C0xGSzYkdiceiazXxZEREROROL8W/trZWv9wMfBN6RSdujg8t2E812PWMlc/xLDgwDq3gqgPOt8fvLlRIfiZxPKW6OLX91JnzDpPFkGQwoV+cuK+VMrOGJ3YuxwqmVIRaD4VgC8ovxv42IiMj5Y1Fl4AAyafsoMHE6ZrRvyr7ETNq+aSbPX64N4DCIVzJwsVKIb46/RLSgfUAyO375qzPhGwYN/aWoRIlhTthnTlLMN1YICHyLqOywiIiIyOLMwJ1TJSYGaLHKWqdWKcCfJLCKF/1oFQZrbj+usmHQMFSmOEkgWDYM4pNk4OJFf7LhZiIiInIeO+8COJ+JXaixYpTdskoB5doMHAaWH9IwWKJozO3H5RsGph9O6MaFKBMYy9ZEamEYjc/zpy9sKyIiIueX8y6AC8JJukhLlS7USWZ8+oaBUQpp6i9SnmaprJmIZptOHsCVDZNYdnygZpWiFQzMvLpPRURE5JTzLoALa5JZAVVdqOWQYJIADh8aB0qUg7kGcCYEIeVJyoL4hkEsNz4DFytWWpNVACciIiKnnH8BXE0vZWCA5YcQhFjFYOJwM8MgwMAoh4T+3DNwps+UAVyiJoCLF3yMEEqFxVEHTkRERBaH8y6AM2rGk42OS4uVAqxyOOlcT98wIACjMLfZBOVKF2owyZA23zBI1Dx/rBBQjhmch7dJREREpnHeRQZhzaJfo9m1ZNEnVgoIJ+km9Q0DIwRjZG6TCXyiYHGyFQd841Q5k1GxQhCVHBERERGpct5FB37NsgaBYRAGBvGCj1UMJs2OlQ0DIwgpD52FSQzlEGuSi/iGQaI4cQxceY6lS0RERGTpOe+igzAc/5JDwyAEzFzUhWpM0b3pG3PvyvQNg+OxFOWTEztqo3p0AdXLLsQLwaQzVkVEROT8puiAU6sgWMWA0J8YXAWViQxzZhj0JlIEuYk/dt8wMf2QeNU4uFjBx1cAJyIiIjUUHVBZDzUXYPkhRnliCq5ompSL57YNvmFAKSRVHcAVg0lnrIqIiMj5bdGthboQfAwSwz6EIeYkEwx640kYCc9puBsAYWgQHynD8iQA8XxAbvrTRERE5DykDBxRBi4xHK3BEOYmKSRiGHCuuzIr4+ysqpmusWJQPSROREREBFAAB0QBXLISwPnFheuy9A1zfABXCAjmWDxYRERElh4FcERdqMlsmRAI5lard27tMAysrI/hh7R0F6KVGRawPSIiIrI4aQwclS7UnE+50Tz3XaXT8A2D9c8OsWH/EGYAw80xykNoGoOIiIiMowAO8A1oyvvkW+IL2o7eeBIjZjKSjGP0lAlPGBiTLu4lIiIi5zMFcEQZOCME31zYXFc2FoMTAD6h8m4iIiIyBY2BI1oPlSDUslUiIiJSFxSxUFmjNKgU0xURERFZ5BTAUelCDUItWyUiIiJ1QRELUReqEYSq2CEiIiJ1QQEclcXsA/BDdaGKiIjI4qcAjkoXqh+q4JqIiIjUBQVwQGAAfqgfhoiIiNQFxSxES2kRGMSC4PQHi4iIiCwwBXAAhkGAgVlUACciIiKLnwK4iqFYnNLAQrdCRERE5PS0lFbFkYZGGF7oVoiIiIicnjJwIiIiInVGAZyIiIhInVEAJyIiIlJnFMCJiIiI1BkFcCIiIiJ1RgGciIiISJ1RACciIiJSZxTAiYiIiNQZBXAiIiIidUYBnIiIiEidUQAnIiIiUmcUwImIiIjUGQVwIiIiInVGAZyIiIhInVEAJyIiIlJnFMCJiIiI1BkFcCIiIiJ1RgGciIiISJ1RACciIiJSZxTAiYiIiNQZBXAiIiIidSa20A2o5bheJ/B54BeBXuDPMmn776Y49hbgU4AN9ACfzaTtT81XW0VEREQWwqIL4ICvAz5wI7AB+KLjeoczafvO6oMc19sM3AH8NfBrwHXAZx3X25dJ2/96RleOxaCxcS5tl5nK56FYXOhWiIiI1KVFFcA5rnc5UeB2QSZtdwGPOq53LfAu4M6aw38F2JtJ2x+pPN7huN5LgXcCsw7gWt94K5s/+gek2trO/AXIjBWHhhh8cjuH/uQTFJ54YqGbIyIiUlcWVQBHFLztqARvo34CvHeSY5cD99Vs6waunPVVYzE2f/QPaF69etanypmJrVhB4003ktq4gaeuvg6CYKGbJCIiUjcWWwC3GThQs+0okHJcrzWTtgdHN2bS9u9WH+S43nLgViYGdeMUYjGsWHzcNqO1RZm3BdK0bh3F5csJB4dmfE6hcv8KNfdRFh/dq6VD97I+6b7Vr0Js+hBtsQVwzUCuZttw1b5BJuG43guArwGtwB9Nd4GvvfxWfN8ft60hleCGM2iszJ1hGHzpll8hl5/9eLgvvurN56BFci7oXi0dupf1Sfet/liWxVXT7F9sAdwA0F6zLVX5erL2YMf1TOCjwP8GngWuz6TtvdNd4C13f4vGkfHZHqO1Bfj9M2yyzNXbv/+NWWfgvviqN/OO7/4LyXLpHLZM5kr3aunQvaxPum/1K9vUgvei66fcv9gCuC7gZTXb1gM9mbQ9LjPnuJ4BfAt4LfBx4JOZtH3aNE6yXJ74n7hcnkOTZa4S5TKcwS+WZLmkX0h1Qvdq6dC9rE+6b/XHP01sstgK+d4NXFapBTfqZuCeSY69DcgAmUza/thMgrd657geDzxxcNLtw9lz9/LvfnAP3X0jADzuHcXbd+KcXUtEREROb1Fl4DJpe7vjeg8DX3Jc7/eIaru9G0gDOK53EXA8k7aHiCYs/ADYU9k+KpdJ20fmuenzpq8/y6FjA1ywetmCXP8F9toFua6IiIicsqgCuIpbgS8A9wPHgHdk0vYDlX27gXcAXwI2AZdUtlW7D7hpPhq6EC7asIqn9xync1Uzibg1YX+uUGL7s8fo7c+SSsawN3ewpr0FgL6BHNt3dTGSK7K2vZXhbBF7czttK5ro7hvhqT3HGckVSSViXHThKjauW8H9jx0gly/x4JMHedGl6zjeO0wqGaMxlWDXgW5e/uKtY9d2f76XrRvbWN+5jANHTrL3UC/5os+a9hYu29pJPDaxvSIiIjJ7iy6Ay6Tto8CrpthnVH1/6TltSBBAf/85vcSY5cvBnFlv9vrOZZwczPHM3uNcuW18NiwMQx7afpg17S1cdcla+gZyPPr0EVqbN5GIWzy04xCXbV1NZ1szB46c5NCxgbFzH995FHtzB2vbW+gdyPKzJw+xtqOV66/ayN0P7uHK562hfWUTx3ujScFr2lvYsesYA0N5lrWkGBopkC2UWN3WQlf3EHsP9XH1ZReQiFvs2HWMp3YfV/ZORETkLFl0Adyi0d8Pt902P9e6/XZYuXLGh19x8Wrch/ezvnOEthVNY9v7h/IUS2Uu3hjVtOtc1UxnWzNd3UOkkjGaGuKs62wF4KILV7H/cN/YuVdfup7lrSlK5QCDKE4ulvxJs3wAibhFx6omunqGWNaSoqt7iNVtLcQsk+eOnmTrhlW0NiUBsDd3Bfd0AAAAGTZJREFUcN8j+7lyW4hhGJM+n4iIiMycAripLF8eBVbzda1ZaGxIsG1TG9t3HeOmqzePbc/mS+QKZRzXG3d8Mm4RhiENqfGFHFPJU4+P9Q7xyDNHSMQtljenmIl1Ha3sOdjLtk3tdHUPsm1zx1g7ntjZxRM7u8YdXy4HxKcICEVERGTmFMBNxTRnlRWbb5vXr+TI8UF2P9czti2ViNHcmOBl12wZ2zaSK2JZJkdPDFIonipgHIYhuXw0pbz75AgHu/pJ/8JmEvEYxZLPc12n7z7ubGvhiWe76Dk5Qq5Qpr2SDUwlYjxvUzvrOqJsn+8HDGeLCt5ERETOksVWRkRmyDAMrti2hj2Hese2rWhtIAhDDnb1U/YDevuz/PiRaBJC+4om+gayHOsZouwH7Hquh3wxqjETBiEAvh+SL5Z5es/x6HFlfVLDgEJpYj2amGWyelUL23cdY11HK6YZdY+u61zGvkN9ZPMliiWf7buOsXN/9zn9eYiIiJxPlIGrY8uaU2xet5LdB6MgzjQNrrnsArY/e4wdu46RTMa49KIOVrQ2AHDVJet4as9xCoUyaztaaWlKYhgG7Ssb6VzVzA8f2juWPfODgEefPsLLrtnCmrYWHveOErMmxvvrOls5cmKQK7etGdt24ZplFIpl7n/0ACU/oH1F47j9IiIiMjcK4OpIJm1P2GZv6cDe0jH2uKUpyUuu2jDhuHI5YFlzkpuvPVUy73v37yIRtzAMgyu3rR03q3V956k6c5de1MmlF0W1lVe3tYx73tVtLRPaZRgGF29sG5tMISIiImeXulDPE8Wyj/vQPnpOjlAq++x+roeYZdLcmFjopomIiMgsKQN3nmhMxbn84jU8vrOLQrFMa1OSq5+/XmU9RERE6pACuPPIhrXL2bB2diVLREREZPFRF6qIiIhInVEAJyIiIlJnFMCJiIiI1BkFcCIiIiJ1RgGciIiISJ1RAFdHHNfjgScOTrp9OFuc83OfyXMc7Orn/scOzOnaIiIiMjsK4OpMX3+WQ8cG5u16QWWdVBEREVk8VAeuzly0YRVP7zlO56pmEnFrwv5cocT2Z4/R258llYxhb+5gTXsL2VyRe362l9feuA3TNAiCkLvu28nN127h/sefA+CHP9/LDS/cyP4jJ7FMg4HhPM2NSV5gr+WZvSc42NWP7wcsa0lx+fPW0NqUnO+XLyIiIiiAm1IYBgTFwXm5lploxTBmlgxd37mMk4M5ntl7fNzapQBhGPLQ9sOsaW/hqkvW0jeQ49Gnj9DavInp1lt4xYu34rgeL7tmS7S01pGTHDkxyDWXX8CK1ga6+0Y4emKQl75wI8l4jKf2HGPnvhP8wmUXzOFVi4iIyJlSADeFoDjI8Qc/OC/X6rzu01jJma+QcMXFq3Ef3s/6zhHaVjSNbe8fylMslccWke9c1UxnWzNd3UOsbW+Z6ukmta6jlZXLGgFobU5y7RUX0piKky+UMU2TYmluY+5ERETkzCmAm4KZaKXzuk/P27Vmo7EhwbZNbWzfdYybrt48tj2bL5ErlHFcb9zxyUm6Wk8nXnVOEITs2H2M4ZECTQ0JTFPrp4qIiCwkBXBTMAxzVlmx+bZ5/UqOHB9k93M9Y9tSiRjNjQleds2WsW0juSKWZU6YjFAolmd8LW9fN42pONddcSEAew/10tU9NMdXICIiImdKs1DrlGEYXLFtDXsO9Y5tW9HaQBCGHOzqp+wH9PZn+fEjB8jlSyTjFqZhcHIwB8BzXf01zwfF0uRBXRCGBEGI7wecHMhx4Eg/QRAShpqhKiIishAUwNWxZc0pNq9bOfbYNA2uuewCDnUN8P37d/H4zqNcelEHK1obsCyTyy7u5HHvKD96eB8AMevU7V/T1sJPH3+OgeH8hOs8b2MbA8N5vnv/Lnbu7+aK560mmy+x52DvhGNFRETk3FMXah3JpO0J2+wtHdhbOsYetzQleclVGyY9f8PaFWxYu2Ls8bZN7WPfv+j568e+f4E9fnZrS1Ny3Fg7gFdef/HY9xeuWbxdzSIiIkuRMnAiIiIidUYBnIiIiEidUQAnIiIiUmcUwImIiIjUGQVwIiIiInVGAZyIiIhInVEAJyIiIlJnFMCJiIiI1BkV8q0jdz+4h1y+NPbYskzaVzRy+cVrSCVnfysPdvVzsKuf66/aOO77bK7IPT/by2tv3KaF60VERBYhBXB15spta8ZWPsgXyjzy9GGe3nOcF166btbPdeGa5ZOuotDYkJh01QcRERFZHBTA1bFUMsbajlaeO9qP7wc8s/cER7sHAYP1na1s29yOZZoMjRR4YmcXg8N5GlJxtm1uZ21761jW7Xkb23liZxcA7kP7uOay9WMZuHt/toeLN7azYW0U6B09MYi3r5tfvHYLuUKJ7c8eo7c/SyoZw97cwZr2lgX8iYiIiJwfFMBNIQgD+vP983Kt5anlmMbshyPm8iW6uodY1pLimX0nGMoWufFFmwiCkEefOcqu/T3YWzrYvusYq9uaefGVF9I7kOWhHYdpf0nT2PO0r2ziym1rxnWhjlrb0crx3qFTAVz3EOs7WwnDkIe2H2ZNewtXXbKWvoEcjz59hNbmTTQ1JOb+QxEREZEpKYCbQn++n9vuuG1ernX7G25nZcPKGR37xM6usWyZZZm0LW/kki0d3PvgHq6/aiOpZBwAe3OUVbO3dGAA/UN5svkS7SuaePl1FxGzZhYwru9cxv2PHcD3AwBO9A6zbdMm+ofyFEtlLt7YBkDnqmY625rp6h7iogtXzfInICIiIrOhAG4Ky1PLuf0Nt8/btWaqegzcqEKxjB+ENDWeynwlEjEKxTIAV12yjj0He/j5jkOUywHrO5dx6UUdM7respYUDak43SdHAGhuTNDcmODIiUFyhTKO6407Phm3ZvxaRERE5MwogJuCaZgzzoottHjMwjCiLtWWpiQAI9kCjak4YRjSfXKES7Z08vytqxnOFnjgiYOsWt444+df19HKsZ4hghDWr14GQCoRo7kxwcuu2TJ23EiuiDXDzJ6IiIicOf21XQJM02BteyvevhMUimWyuSK7DvRywZrlGIbBzn0n2H+kj7IfEAQhQRCSqMmUGYZBseQThuGE51/X2cqxnmFO9A6ztqMVgBWtDQRhyMGufsp+QG9/lh8/cmBcmRMRERE5N5SBWyIuu3g1O3Yf44c/3wsYrF/dyub1UQbxqkvWsWP3MXbu6yYet9hywSpWLW9kpGqywsplDZTLAT9+9ABX15QkaW5M0pCMk4hbpBLRfxnTNLjmsgvY/uwxduw6RjIZ49KLOljR2jBvr1lEROR8pQCujrz8uoum3JeIW7zwkslrwa1a3shNV2+esL26DlxTQ4JXvGTr2L7aOnA3Xr1pwvktTUlectWGGbVdREREzh51oYqIiIjUGQVwIiIiInVGAZyIiIhInVEAJwtqslmvIiIiMj0FcAD5PMWhoYVuxXmp0NcH2exCN0NERKSuKIADKBYZfHL7QrfivNRz7w+hXF7oZoiIiNQVlRGpOPQnnyC1cQNN69ZhGMZCN2dJC8OQQl8fPff+kMMf/PBCN0dERKTuKICrKDzxBE9dfR00Ny90U84P2awybyIiImdo0QVwjut1Ap8HfhHoBf4sk7b/bopjXw38BbAReAz47Uza3nHGFw8CGBw849NFRERE5sNiHAP3daABuBF4P/AJx/VeX3uQ43pbgX8D/hm4BngE+K7jek3z2FYRERGRebeoAjjH9S4nCtxuy6TtRzNp+9vAPwDvmuTw3wbcTNr+i0rW7YOABbxm3hosIiIisgAWVQBHFLztyKTtrqptPwHSUxz7/dEHmbTtAw9McayIiIjIkrHYxsBtBg7UbDsKpBzXa82k7cEZHDv5iu4V2SZNUqh3hVgMy7LINrXgayLEoqZ7tXToXtYn3bf6dbp4ZbEFcM1ArmbbcNW+wRkcO9UrbgXY9YFPzbGJshhcBXgvun6hmyEzoHu1dOhe1ifdt7rXCgzUblxsAdwA0F6zLVX5enKSYxsnObb2uFGHgQsZHwSKiIiILFatRPHLBIstgOsCXlazbT3Qk0nbtdm2LqKArPbYA5M98YffeUsIHDoLbRQRERGZDxMyb6MW2ySGu4HLKrXgRt0M3DPFsS8ffeC4XgJ46RTHioiIiCwZRhiGC92GcRzXe4Ao4vw94DrgM0A6k7YfcFzvIuB4Jm0POa53KVHx3g8TzT79XWAbcEVlRqqIiIjIkrTYMnAAt1a+3k9U2+0dmbT9QGXbbuCXATJp+2ngTcB7gPuAFcDrFLyJiIjIUrfoMnBz5bjezcDdmbStFenrjON6PyKq7zeZl2bS9v3TnHsA+Hgmbf/TOWia1HBcLwRCYF1N3UYc1/sQ8OfA7Zm0/fYFaJ6cIcf1rgQeB/4jk7YzC90emZzefwKLMwMn57dvA1sn+ffIQjZKJhUAk/2Rfz2gTHh9ehNQBl7huF7rQjdGpqX333lusc1CFRnKpO09C90ImZEHiP5Y/MPoBsf12onGrj4w1UnTcVwvnknbpbPTPDkDvwJ8Dngv8Drga7N9At3DeXPW339SX5Z0AOe43i8QTYJ4AVGRXwf4nUzazjqu93bgQ5X9HyWqP/cd4G2TlCyRRcBxvZcTdQ1sA/YAH8uk7W9WHbLRcb17gBcDO4EPZNL2j+a9oeePO4BPOK7XkknbQ5VtrwV2AAerD6x067wHWA3sBz6VSdtfruz7EfBT4ApgC2DPS+tlHMf1rgU2EgUELwH+K5UArjJE4e+Iliq8kej99d7R8cmVLr13EgV+Pwd+c35bf16a8/vPcb23AZ8H2jJpe6Ry7FuJgvhO/S1c3JZ6F+q3gYeJPpH8GvAqookRoy4C3ga8EXgL8Grgv81zG2UGHNe7GPgW0S+Wa4EvAF+t/NEZ9UHgTuB64CHgPx3XWzPfbT2PbCdavu6VVdteT3QPxlQC7z8g+sB0NfAV4EuO61XXcXw/8EOirI8sjDcBuzNp+xmiD7O3OK5XvbLNHwL/RvT+exD4XiXjM+qPgI8R3Ws5987G++9OwABeUXXKGwBHwdvit2QzcI7rpYCvEmVpcsB2x/V+QrSG6qgYUcbtcOWce4Hnz3tjpdrbHNd7U822vyWaZfyFTNr+fGXbE47rvRC4DfhZZds/Z9L23wI4rvce4DXArwKfPvfNPm/dSfQL/5uO6zUQ1Wb8GOM/KGWJsjX/BuC43h7g/wCbOJUp+EEmbX9m3lot4ziuZxJl3L5e2fQdoj/6rwP+pbLtm5m0/YXK8e8jyva8FfjLyv6/yKTtb89bowXm+P7LpO37HNf7PlHg9++Vv5u3ECU0ZJFbshm4TNrOA58F3u243j87rncf8F+IPm2M6h4N3ioGgIZ5bKZM5ABX1vz7c6Lutfc6rpcf/UeUMdhSde7Do99Uysk8ShQkyLlzB/Bqx/XiRJ/iezJp+/HqAzJp+6fAQcf1Pum43r8S1W80GP9efHq+GiyTugFYy6nszUNAL1FQN+rB0W8yaTsgmlhU/f7TPZx/Z+P996/AaxzXs4gK5wfA9+frBciZq/sMnON6fwXsGP1kSPSaAsf1NhNNh7+TaNWGzxF101TTTJ3FZyCTtnfWbqz8gvpz4Ms1u0aqvg9q9sVq9svZdz/R++hGok/xTu0BlfE3/4tovOnXid6XB2oOW1r1jOrPaNb7R47rjW6zgFdWdaMWas5pYPx90z2cf2fj/ecA/0Q0dvgNwJ2ZtF17r2URWgoZuOcBV1U9Xk30yfH1wOFM2v61TNr+SiZtP8LEtVOlfuwkqnm0c/Qf0aDc6vEf14x+Uwn4XkQ0oFfOkUqm8y6i7PZrqRl/U/E2okHT/yeTtu9gCXxwXEoc14sRFUj/J8Znvt9IFKS9pnLoVVXnJCuPn5nXxso4Z+P9V5kA8T3gl4i6zL9xThstZ81S+EX6c6KutR8TfUL830Tp3yNEsxIzle9/A7gcGHZcb+VCNVbO2GeAHzuu9xDRFPnXAb9ONMN41Nsq+7cD/52ontU3a59Izro7iH7p54hWRal1BHhdZYbwWqKxVSXg4sq4VFlYNwNtwF9n0vZTVdufclxvH6e6UX/dcb2HAQ/4AJAi6n6ThTWn918lCPwG0cSwPPCDeWm1zNlSyMD9GdHMqM8Rza55kqir9JvAlyrb7gQOE3UTvJTx4zqkDmTS9kNEExb+B9FYnNcDr8+k7WerDvtT4Lcq+y8nWlpNXQHn3g+IunG+O0X9r98BEkSB9x8C/5NogtFfA43z1UiZ0puAh2qCt1FfI5qd30Q0mejdRCVftgK3ZNJ277y1UqZyNt5//0E0Ju4bquFXP5bcUloiInJ2aam6pc1xvRagC3hZ5cOy1IGl0IUqIiIiZ8BxvcuIysE8q+CtviiAExEROX99C0gS1cyUOqIuVBEREZE6sxQmMYiIiIicV+qyC9VxvQ6iVRZuISo2eQ/wrkzaPu643laixXmvIVqm5w+qFzx3XO8W4FNEC2b3AJ/NpO1PVe2/jWhNvw7gx8BvZtL2ofl4XSIiIiIzUa8ZuK8CG4kWp38N0fqmX6wsBXIXUd2b64hKjHzFcb2rACqrM9xBVCfuauCPgT92XO+Nlf03AP+XaC25FxMtrXWn43rVS/6IiIiILKi6y8A5rreWaMHeqyurK+C43vuJsnBvBdqB36ishfqk43qvJCri+27gV4C9mbT9kcrT7XBc76XAO4kKUv4P4IuZtP2lyvO+iyhLdzXR2oAiIiIiC64eM3BriDJs1UskdVe+vh24rxK8jfoJkK58v5yJlaq7iZbfgmg9ubFFfDNpe4Coqn8aERERkUWi7jJwmbT9KLC+ZvNvEC0j0s/ERbKPAp2Vc3+3eofjesuBW4H7HNdbBqyc7nwRERGRxaDuArhqjus1A39JFMB9iGhh81zNYcNA8yTnvoBomZhWokkLo8fM6HwRERGRhVKPXagAOK53I/A08BbgPZm0/WmiSQe1ayumgJNV55mO632MaExbAFyfSdt7K+dyuvNFREREFlpdBnCO690K3A3sAS7LpO3PVXZ1ARfWHL6eqJwIldmk3wL+F/Bx4KrRBZwzaXuYKNs25fkiIiIii0HdBXCVsWr/CHwDeHklezbqbuAGx/WSVdtuJpqhCnAbkAEymbT9sUzaLtY8/d1EM1xHr9UOXFF1voiIiMiCq7ultCrZt68D1wKDNbsPATuJZpr+FfB64CPAJZm0vd9xvbuIgtb31ZyXy6TtI5Uiv3cCvw7sBz5Z2ffKc/V6RERERGarHicxbALiwKNT7HsNUYbuQWAvUbZtf9X+S4DdNefdB9yUSdvfd1zvd4hWalgB/IBogoSIiIjIolF3GTgRERGR813djYETEREROd8pgBMRERGpMwrgREREROqMAjgRERGROqMATkRERKTOKIATERERqTMK4ERERETqjAI4ERERkTqjAE5ERESkziiAExEREakzCuBERERE6owCOBEREZE6E1voBoiILCTH9f4I+GjN5hDoBX4O/EUmbf/oDJ73JuAm4G8yabtvTo0UEamhDJyISORvgPdW/n0A+DrwIsB1XO99Z/B8NxEFhivPVgNFREYpAyciEvn32kyb43p/CNwL/KXjevdn0vZjC9IyEZEaCuBERKaQSdsDjuv9FvAw8D+BNwM4rverwPuAS4ESsBP4+0za/kpl/4+AGytPs9txvdszafvtlX2XAx8HbgAs4GfAJzJp252nlyUiS4C6UEVEppFJ248A+4BXADiu91bga0AAfBL4K2AZ8GXH9d5WOe2vge9Wvv8YMBrYXQ08ADyfqMv2b4A1wL2O6/2X+Xg9IrI0KIATETm9p4GVjuutBH6ZKKB7aSZtfyKTtv+YKJsWAmmATNr+d+ChyrlfzaTteyvf/yNwFLg8k7b/MJO2fw+4BtgOfGbeXo2I1D0FcCIipzdY+Zog6jq9MZO2/ar9qwCjsn9Sjus9H7gCuAtY7rjeesf11gMrgP8ENjiut+lcNF5Elh6NgRMROb0VRF2m3Zm07Tuu98uO630MsIFNRAHc6diVr++v/JvMamD/XBsrIkufAjgRkdO7HNhTCd6+BNwG3AncAewiGtd2/DTPMfr79u+B70xxzLNzb6qInA8UwImITMNxvZcC64E/dVxvA1Hw9rlM2n5P1TEtM3iqg5WvQ5m0fVfNNa4lqjl3z9lptYgsdRoDJyIyBcf12oDPAyPA3xF1pcLEbNtkXaJhzeOHgC7gLY7rLau6RitwO/CuTNrOn412i8jSpwyciEjklyoTDSD6cHsB8A6iEiG3ZdL2Icf1jhONUftIJevWB7ySaOzaCeBqx/VemUnb3wN6Ks/1+47rfTWTtu9xXO89wDeBhx3X+wbRxIdfBdYBL52flykiS4EycCIikfcBf1v591fAW4H7gRsyafvrAJm0XQReCzwI/DbRslvbgWuBPyUK+m6pPN83gUeIArTXVc7/d6J6cseBDwHvJhpDd0MmbY+WHREROS0jDGuz/CIiIiKymCkDJyIiIlJnFMCJiIiI1BkFcCIiIiJ1RgGciIiISJ1RACciIiJSZxTAiYiIiNQZBXAiIiIidUYBnIiIiEidUQAnIiIiUmcUwImIiIjUmf8PRqAfi3KS1J4AAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "dark"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Proportion of sentiments of top twenty tweets by day\n",
-    "positive_likes = positive_df.groupby('date')['nlikes'].value_counts(normalize=True).unstack()\n",
-    "\n",
-    "# Plot a stacked line graph\n",
-    "p1 = positive_likes.plot.area(stacked = True, figsize=(10,6), alpha = .70, fontsize=14)\n",
-    "\n",
-    "p1.set_title('Sentiment Distribution of Top Twenty Tweets by Day', fontsize=20, pad=10)\n",
-    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
-    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
-    "p1.legend(['Negative', 'Neutral', 'Positive'], facecolor='white', framealpha=1)\n",
-    "# p1.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.9"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/eda_visualizations_notebook.ipynb b/eda_visualizations_notebook.ipynb
index 59800a5..761d578 100644
--- a/eda_visualizations_notebook.ipynb
+++ b/eda_visualizations_notebook.ipynb
@@ -1327,7 +1327,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,
diff --git a/functions.py b/functions.py
index 7919eca..e615864 100644
--- a/functions.py
+++ b/functions.py
@@ -346,6 +346,12 @@ def clean_text(text, stop_words):
     
     return text
 
+def lda_getter(x):
+    '''Turn a list of tuples containing LDA topic weights into a dictionary
+       and grab the topic number with the highest weight.'''
+    x_dict = dict(x)
+    return int(max(x_dict, key=x_dict.get))
+
 def mask_pos_finder(text):
     pos = TextBlob(text)
     for tag in pos.tags:
diff --git a/lda_sentiment_stacked_bar.png b/lda_sentiment_stacked_bar.png
deleted file mode 100644
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diff --git a/lda_v1.pkl b/models/lda_v1.pkl
similarity index 100%
rename from lda_v1.pkl
rename to models/lda_v1.pkl
diff --git a/nlp_features_notebook-Copy1.ipynb b/nlp_features_notebook-Copy1.ipynb
deleted file mode 100644
index 51c178d..0000000
--- a/nlp_features_notebook-Copy1.ipynb
+++ /dev/null
@@ -1,5813 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "\n",
-    "import twint\n",
-    "\n",
-    "# Fixes runtime errors with twint\n",
-    "import nest_asyncio\n",
-    "nest_asyncio.apply()\n",
-    "\n",
-    "import matplotlib\n",
-    "%matplotlib inline\n",
-    "import seaborn as sns; sns.set_style('ticks')\n",
-    "\n",
-    "import nltk\n",
-    "from nltk import RegexpTokenizer\n",
-    "from nltk.corpus import stopwords\n",
-    "from textblob import TextBlob\n",
-    "import re\n",
-    "import string\n",
-    "import emoji\n",
-    "\n",
-    "%load_ext autoreload\n",
-    "\n",
-    "%autoreload\n",
-    "\n",
-    "from functions import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pd.set_option('max_colwidth', 150)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Twitter scrape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):\n",
-    "    '''\n",
-    "    Function to return a pandas dataframe of tweets in English containing search terms using twint.\n",
-    "    Required parameter: search term.\n",
-    "    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).\n",
-    "    '''\n",
-    "    c = twint.Config()\n",
-    "    c.Lang = 'en'\n",
-    "    c.Search = search\n",
-    "    c.Username = username\n",
-    "    c.Since = since\n",
-    "    c.Until = until\n",
-    "    c.Limit = limit\n",
-    "    c.Pandas = True\n",
-    "    # Hide the printing of every tweet during scrape\n",
-    "    c.Hide_output = True\n",
-    "    twint.run.Search(c)\n",
-    "    df = twint.storage.panda.Tweets_df\n",
-    "    # Transform date string into datetime object\n",
-    "    df['date'] = pd.to_datetime(df['date']).dt.date\n",
-    "    return df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):\n",
-    "    '''\n",
-    "    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.\n",
-    "    Periodically saves progress to CSV after each daily search.\n",
-    "    Required parameters: start date, end date, search term.\n",
-    "    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).\n",
-    "    '''\n",
-    "    df = pd.DataFrame()\n",
-    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
-    "    for d in range(len(date_range) - 1):\n",
-    "        since = date_range[d].strftime('%Y-%m-%d')\n",
-    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
-    "        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)\n",
-    "        # Drop empty columns\n",
-    "        day_df.drop(columns=drop_cols, axis=1, inplace=True)\n",
-    "        # Add new daily data to dataframe, reset index, save to CSV\n",
-    "        df = pd.concat([df, day_df])\n",
-    "        del day_df\n",
-    "        df.reset_index(drop=True, inplace=True)\n",
-    "        df.to_csv(f'Datasets/{filename}.csv')\n",
-    "        print(datetime.now(), f'{since} Saved!')\n",
-    "    return df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
-       "0                        []       4         0    False          0  \n",
-       "1                        []       3         2    False          0  \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  \n",
-       "3                        []       3         0    False          0  \n",
-       "4                   [#hugs]       1         0    False          0  "
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Search loop params for March tweets\n",
-    "\n",
-    "start_date = '2020-05-01'\n",
-    "\n",
-    "end_date = '2020-05-16'\n",
-    "\n",
-    "search = '(mask OR masks) AND (covid OR covid19 OR corona OR coronavirus)'\n",
-    "\n",
-    "filename = 'may_first_half_tweets'\n",
-    "\n",
-    "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
-    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']\n",
-    "\n",
-    "limit = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 8)"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename,\\\n",
-    "                       drop_cols=drop_cols, limit=limit)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Preparing csvs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 174,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(191902, 17)"
-      ]
-     },
-     "execution_count": 174,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
-    "test.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 175,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "date\n",
-       "2020-05-01     10017\n",
-       "2020-05-02     12871\n",
-       "2020-05-03      9557\n",
-       "2020-05-04     10019\n",
-       "2020-05-05     10009\n",
-       "2020-05-06     18885\n",
-       "2020-05-07     10000\n",
-       "2020-05-08     10010\n",
-       "2020-05-09     10017\n",
-       "2020-05-10      9676\n",
-       "2020-05-11     10000\n",
-       "2020-05-12     10008\n",
-       "2020-05-13     40812\n",
-       "2020-05-14     10000\n",
-       "2020-05-15     10019\n",
-       "Stat Butler        2\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 175,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test.groupby('date').tweet.count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 176,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(144036, 17)"
-      ]
-     },
-     "execution_count": 176,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_drop = test.drop_duplicates(subset='tweet')\n",
-    "test_drop = test_drop.drop_duplicates(subset='id')\n",
-    "test_drop.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 177,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                      0\n",
-       "conversation_id         0\n",
-       "created_at              0\n",
-       "date                    0\n",
-       "tweet                   0\n",
-       "hashtags                2\n",
-       "user_id                 2\n",
-       "username                2\n",
-       "name                    7\n",
-       "link                    3\n",
-       "retweet                 3\n",
-       "nlikes                  2\n",
-       "nreplies                3\n",
-       "nretweets               3\n",
-       "quote_url          133479\n",
-       "retweet_id         144036\n",
-       "reply_to                3\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 177,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_drop.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 178,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                 0\n",
-       "conversation_id    0\n",
-       "created_at         0\n",
-       "date               0\n",
-       "tweet              0\n",
-       "hashtags           0\n",
-       "user_id            0\n",
-       "username           0\n",
-       "name               0\n",
-       "link               0\n",
-       "retweet            0\n",
-       "nlikes             0\n",
-       "nreplies           0\n",
-       "nretweets          0\n",
-       "reply_to           0\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 178,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_drop.drop(columns=['quote_url', 'retweet_id'], inplace=True)\n",
-    "test_drop.dropna(inplace=True)\n",
-    "test_drop.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 151,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[]                     2\n",
-       "1256719851021897728    2\n",
-       "1256720281038716928    2\n",
-       "1256716917659906050    2\n",
-       "1256720164449468416    2\n",
-       "                      ..\n",
-       "1258825216035188737    1\n",
-       "1256329153134989313    1\n",
-       "1258539046386589698    1\n",
-       "1257656889011249152    1\n",
-       "1257786716036964356    1\n",
-       "Name: id, Length: 144036, dtype: int64"
-      ]
-     },
-     "execution_count": 151,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_drop.id.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 157,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(144036, 17)"
-      ]
-     },
-     "execution_count": 157,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_drop = test_drop.drop_duplicates(subset='id')\n",
-    "test_drop.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 158,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "date\n",
-       "2020-05-01      9749\n",
-       "2020-05-02     12238\n",
-       "2020-05-03      9125\n",
-       "2020-05-04      9646\n",
-       "2020-05-05      9520\n",
-       "2020-05-06      9514\n",
-       "2020-05-07      9563\n",
-       "2020-05-08      9503\n",
-       "2020-05-09      9354\n",
-       "2020-05-10      8967\n",
-       "2020-05-11      9163\n",
-       "2020-05-12      9334\n",
-       "2020-05-13      9457\n",
-       "2020-05-14      9469\n",
-       "2020-05-15      9433\n",
-       "Stat Butler        1\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 158,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_drop.groupby('date').tweet.count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 160,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "date\n",
-       "2020-05-01    5933\n",
-       "2020-05-02    6192\n",
-       "2020-05-03    5888\n",
-       "2020-05-04    6076\n",
-       "2020-05-05    5939\n",
-       "2020-05-06    5788\n",
-       "2020-05-07    5762\n",
-       "2020-05-08    5457\n",
-       "2020-05-09    5738\n",
-       "2020-05-10    5468\n",
-       "2020-05-11    5676\n",
-       "2020-05-12    5599\n",
-       "2020-05-13    5783\n",
-       "2020-05-14    5613\n",
-       "2020-05-15    5810\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 160,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
-    "\n",
-    "test_drop[test_drop.tweet.str.contains(filt)].groupby('date').tweet.count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 180,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(75000, 15)"
-      ]
-     },
-     "execution_count": 180,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_5k = test_drop[test_drop.tweet.str.contains(filt)].groupby('date').head(5000)\n",
-    "test_5k.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 181,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "date\n",
-       "2020-05-01    5000\n",
-       "2020-05-02    5000\n",
-       "2020-05-03    5000\n",
-       "2020-05-04    5000\n",
-       "2020-05-05    5000\n",
-       "2020-05-06    5000\n",
-       "2020-05-07    5000\n",
-       "2020-05-08    5000\n",
-       "2020-05-09    5000\n",
-       "2020-05-10    5000\n",
-       "2020-05-11    5000\n",
-       "2020-05-12    5000\n",
-       "2020-05-13    5000\n",
-       "2020-05-14    5000\n",
-       "2020-05-15    5000\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 181,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_5k.groupby('date')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 208,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "test_5k.to_csv('Datasets/5k_may_1_15_tweets.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 209,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1256720837660545024</td>\n",
-       "      <td>1256715090545512449</td>\n",
-       "      <td>1588460571000</td>\n",
-       "      <td>2020-05-02</td>\n",
-       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.639668e+08</td>\n",
-       "      <td>modernactivism</td>\n",
-       "      <td>Modern Activism</td>\n",
-       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1256372751314685953</td>\n",
-       "      <td>1256015002651299847</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Absolutely. Most successful countries address ...</td>\n",
-       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
-       "      <td>8.397868e+08</td>\n",
-       "      <td>RealRandyCohen</td>\n",
-       "      <td>ARJAY</td>\n",
-       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.210424e+18</td>\n",
-       "      <td>RSRINIVASABABU1</td>\n",
-       "      <td>R SRINIVASA BABU</td>\n",
-       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1588377573000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
-       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
-       "      <td>3.932328e+07</td>\n",
-       "      <td>themamamaven</td>\n",
-       "      <td>Nancy Johnson Horn</td>\n",
-       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
-       "      <td>1588377570000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.284107e+09</td>\n",
-       "      <td>NolandTt</td>\n",
-       "      <td>Tom Noland</td>\n",
-       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     id      conversation_id     created_at        date  \\\n",
-       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "\n",
-       "                                                tweet  \\\n",
-       "4   Coronavirus-Did the US just supply a million f...   \n",
-       "22  Absolutely. Most successful countries address ...   \n",
-       "23  Bhubaneswar: Transgenders sew and distribute m...   \n",
-       "24  Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
-       "26  I only sneak out every 4 days or so for grocer...   \n",
-       "\n",
-       "                                             hashtags       user_id  \\\n",
-       "4                                                  []  2.639668e+08   \n",
-       "22           ['#coronavirus', '#covid__19', '#masks']  8.397868e+08   \n",
-       "23                                                 []  1.210424e+18   \n",
-       "24  ['#covid__19', '#mask', '#wearamask', '#hack',...  3.932328e+07   \n",
-       "26                                                 []  2.284107e+09   \n",
-       "\n",
-       "           username                name  \\\n",
-       "4    modernactivism     Modern Activism   \n",
-       "22   RealRandyCohen               ARJAY   \n",
-       "23  RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24     themamamaven  Nancy Johnson Horn   \n",
-       "26         NolandTt          Tom Noland   \n",
-       "\n",
-       "                                                 link  retweet  nlikes  \\\n",
-       "4   https://twitter.com/modernactivism/status/1256...    False     0.0   \n",
-       "22  https://twitter.com/RealRandyCohen/status/1256...    False     0.0   \n",
-       "23  https://twitter.com/RSRINIVASABABU1/status/125...    False     0.0   \n",
-       "24  https://twitter.com/themamamaven/status/125637...    False    10.0   \n",
-       "26  https://twitter.com/NolandTt/status/1256372709...    False     1.0   \n",
-       "\n",
-       "    nreplies  nretweets                                           reply_to  \n",
-       "4        0.0        0.0  [{'user_id': '263966773', 'username': 'moderna...  \n",
-       "22       0.0        0.0  [{'user_id': '839786785', 'username': 'RealRan...  \n",
-       "23       0.0        0.0  [{'user_id': '1210423564052004865', 'username'...  \n",
-       "24       1.0        9.0  [{'user_id': '39323281', 'username': 'themamam...  \n",
-       "26       0.0        0.0  [{'user_id': '2284107283', 'username': 'Noland...  "
-      ]
-     },
-     "execution_count": 209,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may1 = pd.read_csv('Datasets/5k_may_1_15_tweets.csv', index_col=0)\n",
-    "may1.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 210,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>1261808631747657728</td>\n",
-       "      <td>1261808631747657728</td>\n",
-       "      <td>1589673595000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>Yes - but only for \"crooks who hide their face...</td>\n",
-       "      <td>['#facemasks', '#crime', '#masks', '#ccpvirus'...</td>\n",
-       "      <td>7.905461e+08</td>\n",
-       "      <td>AlanTonelson</td>\n",
-       "      <td>(((Alan Tonelson)))</td>\n",
-       "      <td>https://twitter.com/AlanTonelson/status/126180...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>[{'user_id': '790546093', 'username': 'AlanTon...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>1261808527766695941</td>\n",
-       "      <td>1261808527766695941</td>\n",
-       "      <td>1589673570000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>12 more deaths, 12 more hospitalizations. \\n\\n...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.033256e+07</td>\n",
-       "      <td>deanbarker</td>\n",
-       "      <td>Dean Barker</td>\n",
-       "      <td>https://twitter.com/deanbarker/status/12618085...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '20332563', 'username': 'deanbark...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1261808522284748805</td>\n",
-       "      <td>1261808522284748805</td>\n",
-       "      <td>1589673569000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>After the fight with Corona Virus,the next fig...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.173606e+18</td>\n",
-       "      <td>gyaigyiimi</td>\n",
-       "      <td>Sb Orlando🇬🇭😊💉</td>\n",
-       "      <td>https://twitter.com/gyaigyiimi/status/12618085...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>[{'user_id': '1173605836725379074', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1261808482380058624</td>\n",
-       "      <td>1261808482380058624</td>\n",
-       "      <td>1589673560000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>rude of coronavirus to ruin mask fetishes for ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.229881e+18</td>\n",
-       "      <td>eliszabethmoss</td>\n",
-       "      <td>ms moss says viva la revolution</td>\n",
-       "      <td>https://twitter.com/eliszabethmoss/status/1261...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '1229881477518778369', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1261808398120747008</td>\n",
-       "      <td>1261808398120747008</td>\n",
-       "      <td>1589673540000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>Face Masks Fashion &amp; Health Care. \\n\\nNow I st...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>5.594146e+08</td>\n",
-       "      <td>dawoodfarsi</td>\n",
-       "      <td>dawood al-farsi | داود الفارسي</td>\n",
-       "      <td>https://twitter.com/dawoodfarsi/status/1261808...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '559414580', 'username': 'dawoodf...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     id      conversation_id     created_at        date  \\\n",
-       "20  1261808631747657728  1261808631747657728  1589673595000  2020-05-16   \n",
-       "21  1261808527766695941  1261808527766695941  1589673570000  2020-05-16   \n",
-       "22  1261808522284748805  1261808522284748805  1589673569000  2020-05-16   \n",
-       "23  1261808482380058624  1261808482380058624  1589673560000  2020-05-16   \n",
-       "24  1261808398120747008  1261808398120747008  1589673540000  2020-05-16   \n",
-       "\n",
-       "                                                tweet  \\\n",
-       "20  Yes - but only for \"crooks who hide their face...   \n",
-       "21  12 more deaths, 12 more hospitalizations. \\n\\n...   \n",
-       "22  After the fight with Corona Virus,the next fig...   \n",
-       "23  rude of coronavirus to ruin mask fetishes for ...   \n",
-       "24  Face Masks Fashion & Health Care. \\n\\nNow I st...   \n",
-       "\n",
-       "                                             hashtags       user_id  \\\n",
-       "20  ['#facemasks', '#crime', '#masks', '#ccpvirus'...  7.905461e+08   \n",
-       "21                                                 []  2.033256e+07   \n",
-       "22                                                 []  1.173606e+18   \n",
-       "23                                                 []  1.229881e+18   \n",
-       "24                                                 []  5.594146e+08   \n",
-       "\n",
-       "          username                             name  \\\n",
-       "20    AlanTonelson              (((Alan Tonelson)))   \n",
-       "21      deanbarker                      Dean Barker   \n",
-       "22      gyaigyiimi                   Sb Orlando🇬🇭😊💉   \n",
-       "23  eliszabethmoss  ms moss says viva la revolution   \n",
-       "24     dawoodfarsi   dawood al-farsi | داود الفارسي   \n",
-       "\n",
-       "                                                 link  retweet  nlikes  \\\n",
-       "20  https://twitter.com/AlanTonelson/status/126180...    False     0.0   \n",
-       "21  https://twitter.com/deanbarker/status/12618085...    False     2.0   \n",
-       "22  https://twitter.com/gyaigyiimi/status/12618085...    False    43.0   \n",
-       "23  https://twitter.com/eliszabethmoss/status/1261...    False     2.0   \n",
-       "24  https://twitter.com/dawoodfarsi/status/1261808...    False     1.0   \n",
-       "\n",
-       "    nreplies  nretweets                                           reply_to  \n",
-       "20       0.0        1.0  [{'user_id': '790546093', 'username': 'AlanTon...  \n",
-       "21       0.0        0.0  [{'user_id': '20332563', 'username': 'deanbark...  \n",
-       "22       1.0       10.0  [{'user_id': '1173605836725379074', 'username'...  \n",
-       "23       0.0        0.0  [{'user_id': '1229881477518778369', 'username'...  \n",
-       "24       1.0        0.0  [{'user_id': '559414580', 'username': 'dawoodf...  "
-      ]
-     },
-     "execution_count": 210,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may2 = pd.read_csv('Datasets/5k_may_16_31_tweets.csv', index_col=0)\n",
-    "may2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 211,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(75000, 15)\n",
-      "(80000, 15)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(may1.shape)\n",
-    "print(may2.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 212,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(155000, 15)"
-      ]
-     },
-     "execution_count": 212,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may = pd.concat([may1, may2])\n",
-    "may.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 214,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "may.to_csv('Datasets/5k_may_tweets.csv')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Loading csvs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 233,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
-    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
-    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
-    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
-    "months = [jan, feb, mar, apr, may]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 234,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 17)"
-      ]
-     },
-     "execution_count": 234,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = pd.concat(months)\n",
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Obtaining target variable"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 235,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 236,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conditions = [\n",
-    "    df.sentiment_score > .05,\n",
-    "    df.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 334,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(575949, 20)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(df.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 257,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.reset_index(drop=True, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 295,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>sentiment_score</th>\n",
-       "      <th>sentiment</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
-       "      <td>-0.8176</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
-       "      <td>-0.8905</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
-       "      <td>0.6705</td>\n",
-       "      <td>positive</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
-       "      <td>-0.7783</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
-       "      <td>-0.2960</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at       date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
-       "\n",
-       "                                                                                                                                                   tweet  \\\n",
-       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
-       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
-       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
-       "3                                                                                                            Thought death masks gave you the horn freak   \n",
-       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name  \\\n",
-       "0               MLTSHP   \n",
-       "1                 MiLu   \n",
-       "2             odiecher   \n",
-       "3       Ashley Collins   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
-       "\n",
-       "                                                            link  retweet  \\\n",
-       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
-       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
-       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
-       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
-       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
-       "\n",
-       "   nlikes  nreplies  nretweets  \\\n",
-       "0     1.0       0.0        1.0   \n",
-       "1     0.0       0.0        0.0   \n",
-       "2     1.0       1.0        1.0   \n",
-       "3     0.0       0.0        0.0   \n",
-       "4     1.0       0.0        1.0   \n",
-       "\n",
-       "                                                    quote_url  retweet_id  \\\n",
-       "0                                                         NaN         NaN   \n",
-       "1                                                         NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
-       "3                                                         NaN         NaN   \n",
-       "4                                                         NaN         NaN   \n",
-       "\n",
-       "                                                                                                                                                reply_to  \\\n",
-       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
-       "\n",
-       "   sentiment_score sentiment  \n",
-       "0          -0.8176  negative  \n",
-       "1          -0.8905  negative  \n",
-       "2           0.6705  positive  \n",
-       "3          -0.7783  negative  \n",
-       "4          -0.2960  negative  "
-      ]
-     },
-     "execution_count": 295,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 19)"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['date'] = df.date.astype('datetime64[ns]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 19)"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# EDA/Feature Engineering"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sentiment\n",
-       "negative    18052\n",
-       "neutral      8223\n",
-       "positive    21355\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df.nlikes > 10].groupby('sentiment')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sentiment\n",
-       "negative    105452\n",
-       "neutral      49210\n",
-       "positive    121327\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df.nlikes > 0].groupby('sentiment')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sentiment\n",
-       "negative    221363\n",
-       "neutral     115386\n",
-       "positive    239200\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('sentiment')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Timestamp('2020-01-01 00:00:00')"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.date[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    1\n",
-       "1    1\n",
-       "2    1\n",
-       "3    1\n",
-       "4    1\n",
-       "Name: month, dtype: int64"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['month'] = df.date.apply(lambda x: x.month)\n",
-    "df['month'].head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "month  sentiment\n",
-       "1      positive     0.412361\n",
-       "       negative     0.409046\n",
-       "       neutral      0.178592\n",
-       "2      negative     0.421300\n",
-       "       positive     0.401849\n",
-       "       neutral      0.176851\n",
-       "3      positive     0.430622\n",
-       "       negative     0.387278\n",
-       "       neutral      0.182100\n",
-       "4      positive     0.405667\n",
-       "       negative     0.346007\n",
-       "       neutral      0.248327\n",
-       "5      positive     0.417187\n",
-       "       negative     0.393458\n",
-       "       neutral      0.189355\n",
-       "Name: sentiment, dtype: float64"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('month').sentiment.value_counts(normalize=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "count    575949.000000\n",
-       "mean          0.017756\n",
-       "std           0.505938\n",
-       "min          -0.998400\n",
-       "25%          -0.381800\n",
-       "50%           0.000000\n",
-       "75%           0.440400\n",
-       "max           0.999600\n",
-       "Name: sentiment_score, dtype: float64"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.sentiment_score.describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "month  sentiment\n",
-       "1      positive     0.412361\n",
-       "       negative     0.409046\n",
-       "       neutral      0.178592\n",
-       "2      negative     0.421300\n",
-       "       positive     0.401849\n",
-       "       neutral      0.176851\n",
-       "3      positive     0.430622\n",
-       "       negative     0.387278\n",
-       "       neutral      0.182100\n",
-       "4      positive     0.405667\n",
-       "       negative     0.346007\n",
-       "       neutral      0.248327\n",
-       "5      positive     0.417187\n",
-       "       negative     0.393458\n",
-       "       neutral      0.189355\n",
-       "Name: sentiment, dtype: float64"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('month').sentiment.value_counts(normalize=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>sentiment</th>\n",
-       "      <th>negative</th>\n",
-       "      <th>neutral</th>\n",
-       "      <th>positive</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.692308</td>\n",
-       "      <td>0.054945</td>\n",
-       "      <td>0.252747</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>0.566879</td>\n",
-       "      <td>0.089172</td>\n",
-       "      <td>0.343949</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.602564</td>\n",
-       "      <td>0.108974</td>\n",
-       "      <td>0.288462</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.587097</td>\n",
-       "      <td>0.083871</td>\n",
-       "      <td>0.329032</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.500000</td>\n",
-       "      <td>0.097701</td>\n",
-       "      <td>0.402299</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-27</th>\n",
-       "      <td>0.425400</td>\n",
-       "      <td>0.180400</td>\n",
-       "      <td>0.394200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-28</th>\n",
-       "      <td>0.421400</td>\n",
-       "      <td>0.177800</td>\n",
-       "      <td>0.400800</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-29</th>\n",
-       "      <td>0.395200</td>\n",
-       "      <td>0.148600</td>\n",
-       "      <td>0.456200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-30</th>\n",
-       "      <td>0.431400</td>\n",
-       "      <td>0.149000</td>\n",
-       "      <td>0.419600</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-31</th>\n",
-       "      <td>0.431200</td>\n",
-       "      <td>0.141600</td>\n",
-       "      <td>0.427200</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>152 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "sentiment   negative   neutral  positive\n",
-       "date                                    \n",
-       "2020-01-01  0.692308  0.054945  0.252747\n",
-       "2020-01-02  0.566879  0.089172  0.343949\n",
-       "2020-01-03  0.602564  0.108974  0.288462\n",
-       "2020-01-04  0.587097  0.083871  0.329032\n",
-       "2020-01-05  0.500000  0.097701  0.402299\n",
-       "...              ...       ...       ...\n",
-       "2020-05-27  0.425400  0.180400  0.394200\n",
-       "2020-05-28  0.421400  0.177800  0.400800\n",
-       "2020-05-29  0.395200  0.148600  0.456200\n",
-       "2020-05-30  0.431400  0.149000  0.419600\n",
-       "2020-05-31  0.431200  0.141600  0.427200\n",
-       "\n",
-       "[152 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# sort by percentage of trees in good health\n",
-    "days = df.groupby('date').sentiment.value_counts(normalize=True).unstack()\n",
-    "\n",
-    "# plot a stacked bar graph\n",
-    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
-    "#                    title = 'Tree Health Across Boroughs', \n",
-    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
-    "\n",
-    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
-    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
-    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
-    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# sort by percentage of trees in good health\n",
-    "days = df.groupby('date').sentiment.value_counts().unstack()\n",
-    "\n",
-    "# plot a stacked bar graph\n",
-    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
-    "#                    title = 'Tree Health Across Boroughs', \n",
-    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
-    "\n",
-    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
-    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
-    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
-    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>sentiment</th>\n",
-       "      <th>negative</th>\n",
-       "      <th>neutral</th>\n",
-       "      <th>positive</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.692308</td>\n",
-       "      <td>0.054945</td>\n",
-       "      <td>0.252747</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>0.566879</td>\n",
-       "      <td>0.089172</td>\n",
-       "      <td>0.343949</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.602564</td>\n",
-       "      <td>0.108974</td>\n",
-       "      <td>0.288462</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.587097</td>\n",
-       "      <td>0.083871</td>\n",
-       "      <td>0.329032</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.500000</td>\n",
-       "      <td>0.097701</td>\n",
-       "      <td>0.402299</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-27</th>\n",
-       "      <td>0.425400</td>\n",
-       "      <td>0.180400</td>\n",
-       "      <td>0.394200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-28</th>\n",
-       "      <td>0.421400</td>\n",
-       "      <td>0.177800</td>\n",
-       "      <td>0.400800</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-29</th>\n",
-       "      <td>0.395200</td>\n",
-       "      <td>0.148600</td>\n",
-       "      <td>0.456200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-30</th>\n",
-       "      <td>0.431400</td>\n",
-       "      <td>0.149000</td>\n",
-       "      <td>0.419600</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-31</th>\n",
-       "      <td>0.431200</td>\n",
-       "      <td>0.141600</td>\n",
-       "      <td>0.427200</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>152 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "sentiment   negative   neutral  positive\n",
-       "date                                    \n",
-       "2020-01-01  0.692308  0.054945  0.252747\n",
-       "2020-01-02  0.566879  0.089172  0.343949\n",
-       "2020-01-03  0.602564  0.108974  0.288462\n",
-       "2020-01-04  0.587097  0.083871  0.329032\n",
-       "2020-01-05  0.500000  0.097701  0.402299\n",
-       "...              ...       ...       ...\n",
-       "2020-05-27  0.425400  0.180400  0.394200\n",
-       "2020-05-28  0.421400  0.177800  0.400800\n",
-       "2020-05-29  0.395200  0.148600  0.456200\n",
-       "2020-05-30  0.431400  0.149000  0.419600\n",
-       "2020-05-31  0.431200  0.141600  0.427200\n",
-       "\n",
-       "[152 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stop_words = stopwords.words('english')\n",
-    "stop_words += ['mask', '#mask',\n",
-    "               'masks', '#masks',\n",
-    "               'face', '#face',\n",
-    "               'facemask', '#facemask',\n",
-    "               'facemasks', '#facemasks', \n",
-    "               'covid', '#covid',\n",
-    "               'covid19', '#covid19',\n",
-    "               'corona', '#corona',\n",
-    "               'coronavirus', '#coronavirus',\n",
-    "               'rona', '#rona',\n",
-    "               'virus', '#virus',\n",
-    "               'viral', '#viral',\n",
-    "               'viruses', '#viruses']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Apply text cleaning techniques\n",
-    "def clean_text(text, stop_words):\n",
-    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
-    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
-    "    remove stop words.'''\n",
-    "    \n",
-    "    # make text lowercase\n",
-    "    text = text.lower() \n",
-    "    \n",
-    "    # remove mentions\n",
-    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
-    "    \n",
-    "    # remove links\n",
-    "    text = re.sub(r'http\\S+', '', text) \n",
-    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
-    "    \n",
-    "    # convert emoticons\n",
-    "    emoticons = load_dict_emoticons()\n",
-    "    words = text.split()\n",
-    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
-    "    tweet = ' '.join(words_edit)\n",
-    "\n",
-    "    # convert emojis\n",
-    "    text = emoji.demojize(text)\n",
-    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
-    "    \n",
-    "    # remove punctuation\n",
-    "    text = text.replace('...', ' ') # special cases\n",
-    "    text = text.replace('-', ' ')\n",
-    "    text = text.translate(str.maketrans('', '', '!\"$%&*()+,./;<=>?@[\\\\]^_`{|}~')) \n",
-    "    \n",
-    "    # tokenize words\n",
-    "    tokenizer = RegexpTokenizer(\"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    \n",
-    "    # convert contractions\n",
-    "    contractions = load_dict_contractions()\n",
-    "    words = text.split()\n",
-    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
-    "    text = ' '.join(words_edit)\n",
-    "\n",
-    "    # remove stop words\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    words = [word for word in words if word not in stop_words]\n",
-    "    text = ' '.join(words)\n",
-    "    \n",
-    "    return text"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 6min 19s, sys: 2.16 s, total: 6min 21s\n",
-      "Wall time: 6min 24s\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0                                                                                                                  death thomas unknown peasant died river\n",
-       "1                                                    ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
-       "2    know joke #ccpchina comes epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst us already dear fellow #hker...\n",
-       "3                                                                                                                            thought death gave horn freak\n",
-       "4                                                      interesting cult death wearing thinkingface electronically posing cia brennan chief facewithmonocle\n",
-       "5    see doctor stuff know war increased quality medical care hospitals start admitting patients even chemical attack doctor rushes spot gives intervie...\n",
-       "6                                                                     plague doctorgas combination sicknesspoison stuff good combination especially coming\n",
-       "7    thoughts cost nothing prayers half unlike costs firefighting equipment like hoses trucks aircraft least thoughts throwing prayers threaten preciou...\n",
-       "8                                                          killed mine miraceibel rosa death counted mining fatality record keeping deaths linked industry\n",
-       "9    also feel like scene phil another pointless addition particularly commenting ben deliberately chosen someone could clown engaged ben knew martin w...\n",
-       "Name: clean_tweet, dtype: object"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%time df['clean_tweet'] = df['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
-    "clean_tweets = df['clean_tweet']\n",
-    "clean_tweets.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "clean_tweets.to_pickle('Datasets/clean_tweets.pkl')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "clean_tweets.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "clean_tweets = pd.read_pickle('Datasets/clean_tweets.pkl')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pattern = \"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\"\n",
-    "tokenizer = RegexpTokenizer(pattern)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>#a</th>\n",
-       "      <th>#a4</th>\n",
-       "      <th>#aa</th>\n",
-       "      <th>#aajtak</th>\n",
-       "      <th>#aapi</th>\n",
-       "      <th>#aarogyasetu</th>\n",
-       "      <th>#aarogyasetuapp</th>\n",
-       "      <th>#aarp</th>\n",
-       "      <th>#aatmanirbharbharat</th>\n",
-       "      <th>#ab</th>\n",
-       "      <th>...</th>\n",
-       "      <th>zsasz</th>\n",
-       "      <th>zucker</th>\n",
-       "      <th>zuckerberg</th>\n",
-       "      <th>zuma</th>\n",
-       "      <th>zurich</th>\n",
-       "      <th>zuzana</th>\n",
-       "      <th>zweli</th>\n",
-       "      <th>zy</th>\n",
-       "      <th>zyada</th>\n",
-       "      <th>zzz</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0</td>\n",
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-       "      <td>...</td>\n",
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-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
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-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 46067 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   #a  #a4  #aa  #aajtak  #aapi  #aarogyasetu  #aarogyasetuapp  #aarp  \\\n",
-       "0   0    0    0        0      0             0                0      0   \n",
-       "1   0    0    0        0      0             0                0      0   \n",
-       "2   0    0    0        0      0             0                0      0   \n",
-       "3   0    0    0        0      0             0                0      0   \n",
-       "4   0    0    0        0      0             0                0      0   \n",
-       "\n",
-       "   #aatmanirbharbharat  #ab  ...  zsasz  zucker  zuckerberg  zuma  zurich  \\\n",
-       "0                    0    0  ...      0       0           0     0       0   \n",
-       "1                    0    0  ...      0       0           0     0       0   \n",
-       "2                    0    0  ...      0       0           0     0       0   \n",
-       "3                    0    0  ...      0       0           0     0       0   \n",
-       "4                    0    0  ...      0       0           0     0       0   \n",
-       "\n",
-       "   zuzana  zweli  zy  zyada  zzz  \n",
-       "0       0      0   0      0    0  \n",
-       "1       0      0   0      0    0  \n",
-       "2       0      0   0      0    0  \n",
-       "3       0      0   0      0    0  \n",
-       "4       0      0   0      0    0  \n",
-       "\n",
-       "[5 rows x 46067 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer(min_df=5, token_pattern=pattern)\n",
-    "data_cv = cv.fit_transform(clean_tweets)\n",
-    "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_vec.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 46067)"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data_vec.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's pickle it for later use\n",
-    "data_vec.to_pickle(\"Datasets/vec.pkl\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_vec = pd.read_pickle(\"Datasets/vec.pkl\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_vec.sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-8-13cd52f9105f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtop_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mtop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mascending\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mtop_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2771\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2772\u001b[0m             \u001b[0;31m# shortcut if the key is in columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2773\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2774\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2775\u001b[0m                     \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
-   "source": [
-    "# Find the top 30 words said by each comedian\n",
-    "top_dict = {}\n",
-    "for c in test.columns:\n",
-    "    top = test[c].sort_values(ascending=False).head(30)\n",
-    "    top_dict[c]= list(zip(top.index, top.values))\n",
-    "\n",
-    "top_dict"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Look at the most common top words --> add them to the stop word list\n",
-    "from collections import Counter\n",
-    "\n",
-    "# Let's first pull out the top 30 words for each comedian\n",
-    "words = []\n",
-    "for comedian in test.columns:\n",
-    "    top = [word for (word, count) in top_dict[comedian]]\n",
-    "    for t in top:\n",
-    "        words.append(t)\n",
-    "        \n",
-    "words"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
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-   "source": []
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-  {
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-   "source": []
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-  {
-   "cell_type": "code",
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-   "source": []
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-   "cell_type": "code",
-   "execution_count": null,
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-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 256,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    2020-01-01\n",
-       "0    2020-02-01\n",
-       "0    2020-03-01\n",
-       "0    2020-04-01\n",
-       "Name: date, dtype: object"
-      ]
-     },
-     "execution_count": 256,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['date'][0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 221,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>155000.000000</td>\n",
-       "      <td>155000.000000</td>\n",
-       "      <td>155000.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>14.591948</td>\n",
-       "      <td>1.282916</td>\n",
-       "      <td>4.496426</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>1108.467257</td>\n",
-       "      <td>33.923692</td>\n",
-       "      <td>338.266606</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>349204.000000</td>\n",
-       "      <td>7955.000000</td>\n",
-       "      <td>121056.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              nlikes       nreplies      nretweets\n",
-       "count  155000.000000  155000.000000  155000.000000\n",
-       "mean       14.591948       1.282916       4.496426\n",
-       "std      1108.467257      33.923692     338.266606\n",
-       "min         0.000000       0.000000       0.000000\n",
-       "25%         0.000000       0.000000       0.000000\n",
-       "50%         0.000000       0.000000       0.000000\n",
-       "75%         2.000000       1.000000       0.000000\n",
-       "max    349204.000000    7955.000000  121056.000000"
-      ]
-     },
-     "execution_count": 221,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may[['nlikes','nreplies','nretweets']].describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 126,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "pos = TextBlob(tweets[2])\n",
-    "print(pos.tags)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 122,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "('masks', 'NNS')\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tag in pos.tags:\n",
-    "    if 'mask' in tag[0]:\n",
-    "        print(tag)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 115,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
-      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
-      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
-      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
-      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in tweets[5:10]:\n",
-    "    pos = TextBlob(tweet)\n",
-    "    print(pos.tags)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 128,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 10)"
-      ]
-     },
-     "execution_count": 128,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 130,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "      <th>pos</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>VB</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "      <td>VB</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
-       "\n",
-       "   subjectivity pos  \n",
-       "0      0.288889  NN  \n",
-       "1      0.425000  NN  \n",
-       "2      0.000000  VB  \n",
-       "3      0.000000  NN  \n",
-       "4      0.648409  VB  "
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
-    "masks.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "NN     0.541166\n",
-       "NNS    0.384220\n",
-       "JJ     0.027616\n",
-       "VB     0.022642\n",
-       "VBZ    0.007547\n",
-       "VBP    0.004974\n",
-       "VBN    0.003602\n",
-       "VBD    0.002916\n",
-       "NNP    0.001715\n",
-       "SYM    0.000858\n",
-       "VBG    0.000686\n",
-       "FW     0.000686\n",
-       "RB     0.000515\n",
-       "PRP    0.000343\n",
-       "IN     0.000343\n",
-       "JJR    0.000172\n",
-       "Name: pos, dtype: float64"
-      ]
-     },
-     "execution_count": 133,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.pos.value_counts(normalize=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 231,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1. Get a wrist brace for the carpal tunnel\n",
-      "2. Take a pill for the prostate\n",
-      "3. Get breathe rite strips\n",
-      "4. Get wife apnea mask\n",
-      "5. Take cover until november than vote the orange man out.\n",
-      "Lil bruh said fuck it mask off\n",
-      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "\"fuck it, mask off\"\n",
-      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
-      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
-      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
-      "\n",
-      "Don't spread fake news, thanks. \n",
-      "People is already scared...\n",
-      "Pop smoke dior\n",
-      "Drake war\n",
-      "Futur mask off\n",
-      "fuck it mask off\n",
-      "Fuck it mask off\n",
-      "They really just said \"fuck it mask off\"\n",
-      "Only fck wit rich niggas fck it mask off\n",
-      "Mask on 😷😷\n",
-      "Fuck it mask off 😶😶 type shit\n",
-      "Never gonna stop, give it up, such dirty hands\n",
-      "I always mask it up, for the touch of the dumber kind\n",
-      "My, my, my, aye-aye, whoa!\n",
-      "M-m-m-my carona\n",
-      "fuck it mask off\n",
-      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
-      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
-    "    print(tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 288,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0      spongebob slides sand mountain tree oxygen mask\n",
-       "1    started freshly washed bed sheets face mask be...\n",
-       "2    using coverage yellow card mask fact team lost...\n",
-       "3                                                 mask\n",
-       "4    know mean depressed mask pain let others happy...\n",
-       "5    daughter sick nasty cough weeks ignores advice...\n",
-       "6    grinningcatface pencil aside butt masks yes ex...\n",
-       "7    energy something else post pics generic lookin...\n",
-       "8                      kind mask much one different us\n",
-       "9    market moved given detox scalp mask since prom...\n",
-       "Name: clean_tweet, dtype: object"
-      ]
-     },
-     "execution_count": 288,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
-    "masks_cleaned = masks['clean_tweet']\n",
-    "masks_cleaned.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 290,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "<p>5 rows × 15034 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
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-       "\n",
-       "   zvanetsa  \n",
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-       "2         0  \n",
-       "3         0  \n",
-       "4         0  \n",
-       "\n",
-       "[5 rows x 15034 columns]"
-      ]
-     },
-     "execution_count": 290,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks_cleaned)\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 292,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
-    "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
-    "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
-    "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 294,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[(0,\n",
-       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
-       " (1,\n",
-       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
-       " (2,\n",
-       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
-       " (3,\n",
-       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
-       " (4,\n",
-       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
-      ]
-     },
-     "execution_count": 294,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
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-       "      <th>nreplies</th>\n",
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-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1256720837660545024</td>\n",
-       "      <td>1256715090545512449</td>\n",
-       "      <td>1588460571000</td>\n",
-       "      <td>2020-05-02</td>\n",
-       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>263966773</td>\n",
-       "      <td>modernactivism</td>\n",
-       "      <td>Modern Activism</td>\n",
-       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1256372751314685953</td>\n",
-       "      <td>1256015002651299847</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Absolutely. Most successful countries address ...</td>\n",
-       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
-       "      <td>839786785</td>\n",
-       "      <td>RealRandyCohen</td>\n",
-       "      <td>ARJAY</td>\n",
-       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1210423564052004865</td>\n",
-       "      <td>RSRINIVASABABU1</td>\n",
-       "      <td>R SRINIVASA BABU</td>\n",
-       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1588377573000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
-       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
-       "      <td>39323281</td>\n",
-       "      <td>themamamaven</td>\n",
-       "      <td>Nancy Johnson Horn</td>\n",
-       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>10</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
-       "      <td>1588377570000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2284107283</td>\n",
-       "      <td>NolandTt</td>\n",
-       "      <td>Tom Noland</td>\n",
-       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50377</th>\n",
-       "      <td>1257684042209800193</td>\n",
-       "      <td>1257684042209800193</td>\n",
-       "      <td>1588690216000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
-       "      <td>['#coronavirus']</td>\n",
-       "      <td>43413162</td>\n",
-       "      <td>ThirstiesInc</td>\n",
-       "      <td>Thirsties Inc</td>\n",
-       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50379</th>\n",
-       "      <td>1257683998983282689</td>\n",
-       "      <td>1257683998983282689</td>\n",
-       "      <td>1588690206000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>As President Trump attempts to project an imag...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>14915067</td>\n",
-       "      <td>witfnews</td>\n",
-       "      <td>WITF news</td>\n",
-       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50381</th>\n",
-       "      <td>1257683985439821825</td>\n",
-       "      <td>1257683985439821825</td>\n",
-       "      <td>1588690203000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
-       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
-       "      <td>218949823</td>\n",
-       "      <td>Hellacort</td>\n",
-       "      <td>David Hilycord</td>\n",
-       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>11</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50382</th>\n",
-       "      <td>1257683964254466049</td>\n",
-       "      <td>1257683964254466049</td>\n",
-       "      <td>1588690198000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>146037421</td>\n",
-       "      <td>briandordevic</td>\n",
-       "      <td>Brian Dordevic 📲📷📈</td>\n",
-       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50383</th>\n",
-       "      <td>1257683935116627968</td>\n",
-       "      <td>1257619031588319234</td>\n",
-       "      <td>1588690191000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>757353589966827522</td>\n",
-       "      <td>HRH_LUCY_NL</td>\n",
-       "      <td>HRH Princess Lucy</td>\n",
-       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>25000 rows × 17 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                        id      conversation_id     created_at        date  \\\n",
-       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "...                    ...                  ...            ...         ...   \n",
-       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
-       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
-       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
-       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
-       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
-       "\n",
-       "                                                   tweet  \\\n",
-       "4      Coronavirus-Did the US just supply a million f...   \n",
-       "22     Absolutely. Most successful countries address ...   \n",
-       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
-       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
-       "26     I only sneak out every 4 days or so for grocer...   \n",
-       "...                                                  ...   \n",
-       "50377  \"Clutches have been awesome during #coronaviru...   \n",
-       "50379  As President Trump attempts to project an imag...   \n",
-       "50381  Coronavirus, face masks and America's new faul...   \n",
-       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
-       "50383  @Koning_NL It appears, still the only people w...   \n",
-       "\n",
-       "                                                hashtags              user_id  \\\n",
-       "4                                                     []            263966773   \n",
-       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
-       "23                                                    []  1210423564052004865   \n",
-       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
-       "26                                                    []           2284107283   \n",
-       "...                                                  ...                  ...   \n",
-       "50377                                   ['#coronavirus']             43413162   \n",
-       "50379                                                 []             14915067   \n",
-       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
-       "50382                                                 []            146037421   \n",
-       "50383                                                 []   757353589966827522   \n",
-       "\n",
-       "              username                name  \\\n",
-       "4       modernactivism     Modern Activism   \n",
-       "22      RealRandyCohen               ARJAY   \n",
-       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24        themamamaven  Nancy Johnson Horn   \n",
-       "26            NolandTt          Tom Noland   \n",
-       "...                ...                 ...   \n",
-       "50377     ThirstiesInc       Thirsties Inc   \n",
-       "50379         witfnews           WITF news   \n",
-       "50381        Hellacort      David Hilycord   \n",
-       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
-       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
-       "\n",
-       "                                                    link  retweet  nlikes  \\\n",
-       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
-       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
-       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
-       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
-       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
-       "...                                                  ...      ...     ...   \n",
-       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
-       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
-       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
-       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
-       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
-       "\n",
-       "       nreplies  nretweets                                          quote_url  \\\n",
-       "4             0          0                                                NaN   \n",
-       "22            0          0                                                NaN   \n",
-       "23            0          0                                                NaN   \n",
-       "24            1          9                                                NaN   \n",
-       "26            0          0                                                NaN   \n",
-       "...         ...        ...                                                ...   \n",
-       "50377         0          0                                                NaN   \n",
-       "50379         0          0                                                NaN   \n",
-       "50381         1          8                                                NaN   \n",
-       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
-       "50383         0          0                                                NaN   \n",
-       "\n",
-       "       retweet_id                                           reply_to  \n",
-       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
-       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
-       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
-       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
-       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
-       "...           ...                                                ...  \n",
-       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
-       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
-       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
-       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
-       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
-       "\n",
-       "[25000 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_5k"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
-     ]
-    }
-   ],
-   "source": [
-    "test.groupby('date').tweet.str.contains('corona').value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
-      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
-      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
-      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
-      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
-      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
-      "Now that there is an ease on Lagos lockdown.\n",
-      "\n",
-      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
-      "\n",
-      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
-      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
-      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
-      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
-      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
-      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
-      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
-      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
-      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
-      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
-      "\n",
-      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
-      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
-      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
-      "\n",
-      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
-      "God the inside of the eye looks like a fuckin rubber mask\n",
-      "mask: on\n",
-      "me: horny \n",
-      "@breanna_gar i’m GEEEEKING rn 😂\n",
-      "Talk about the face mask 😹😹😹\n",
-      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
-      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
-      "\n",
-      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
-      "\n",
-      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
-      "@MayorBowser @GovernorVA\n",
-      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
-      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
-      "oh well lol no mask here either .. ever... \n",
-      "\n",
-      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
-      "Grateful that my neighborhood smells really really good even through a mask\n",
-      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
-      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
-      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
-      "NOW they care? Typical Republican behavior:\n",
-      "Against govnt assistance, until they lose their job.\n",
-      "Against federal aid, until that hurricane hits.\n",
-      "Against womens' right to choose, until someone makes them wear a mask.\n",
-      "#VoteBlueToCleanUpThisCrapAgain\n",
-      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
-      "\n",
-      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
-      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
-      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
-      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
-      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
-      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
-      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
-      "I am just glad the mask covers up her but ugly face.\n",
-      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
-      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
-      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
-      "When will it sink in? This is deadly serious.\n",
-      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
-      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
-      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
-      "Another fake video? Nobody is wearing face mask thou🤔\n",
-      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
-      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
-      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
-      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
-      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in test.tweet[50:100]:\n",
-    "    print(tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
-       "1  Ready to heard this? Homemade hair treatment a...   \n",
-       "2  We all know what a joke #CCPChina is when it c...   \n",
-       "3        Thought death masks gave you the horn freak   \n",
-       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name                                               link  \\\n",
-       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
-       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
-       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
-       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
-       "\n",
-       "   retweet  nlikes  nreplies  nretweets  \\\n",
-       "0    False     1.0       0.0        1.0   \n",
-       "1    False     0.0       0.0        0.0   \n",
-       "2    False     1.0       1.0        1.0   \n",
-       "3    False     0.0       0.0        0.0   \n",
-       "4    False     1.0       0.0        1.0   \n",
-       "\n",
-       "                                           quote_url  retweet_id  \\\n",
-       "0                                                NaN         NaN   \n",
-       "1                                                NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
-       "3                                                NaN         NaN   \n",
-       "4                                                NaN         NaN   \n",
-       "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '843195118924546048', 'username':...  \n",
-       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
-       "2  [{'user_id': '963032516759207936', 'username':...  \n",
-       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
-    "masks.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.8176"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.8176"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment[0]['compound']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.000757438644754942"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conditions = [\n",
-    "    masks.sentiment_score > .05,\n",
-    "    masks.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    17100\n",
-       "positive    16882\n",
-       "neutral      7457\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.221553e+09</td>\n",
-       "      <td>chong_wh96</td>\n",
-       "      <td>Chong_wH</td>\n",
-       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.075768e+09</td>\n",
-       "      <td>Yamanik30</td>\n",
-       "      <td>ACAB</td>\n",
-       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.209989e+18</td>\n",
-       "      <td>Harry31348302</td>\n",
-       "      <td>Harry</td>\n",
-       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.156025e+09</td>\n",
-       "      <td>JaceLucena</td>\n",
-       "      <td>katka</td>\n",
-       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.583843e+07</td>\n",
-       "      <td>nyman11209</td>\n",
-       "      <td>Hobonator</td>\n",
-       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "\n",
-       "                                               tweet hashtags       user_id  \\\n",
-       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
-       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
-       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
-       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
-       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
-       "\n",
-       "        username       name  \\\n",
-       "0     chong_wh96   Chong_wH   \n",
-       "1      Yamanik30       ACAB   \n",
-       "2  Harry31348302      Harry   \n",
-       "3     JaceLucena      katka   \n",
-       "4     nyman11209  Hobonator   \n",
-       "\n",
-       "                                                link retweet  nlikes  \\\n",
-       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
-       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
-       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
-       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
-       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
-       "\n",
-       "   nreplies  nretweets quote_url  retweet_id  \\\n",
-       "0       0.0        0.0       NaN         NaN   \n",
-       "1       0.0        0.0       NaN         NaN   \n",
-       "2       0.0        0.0       NaN         NaN   \n",
-       "3       0.0        1.0       NaN         NaN   \n",
-       "4       0.0        0.0       NaN         NaN   \n",
-       "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
-       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
-       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
-       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
-       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "masks2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
-    "\n",
-    "conditions = [\n",
-    "    masks2.sentiment_score > .05,\n",
-    "    masks2.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    38152\n",
-       "positive    31819\n",
-       "neutral     14237\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.03440293915067452"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2.sentiment_score.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    }
-   ],
-   "source": [
-    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
-    "\n",
-    "conditions = [\n",
-    "    masks3.sentiment_score > .05,\n",
-    "    masks3.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    34682\n",
-       "positive    32128\n",
-       "neutral     13190\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks3.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.013039305000000001"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks3.sentiment_score.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 201,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 206,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 The new police issue masks might not prevent covid19 identifying them as human.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "1 Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "2 … I guess Nancy can put in masks for everyone in her coronavirus funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "3 Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "4 Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
-      "\n",
-      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "5 all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "6 Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
-      "\n",
-      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "7 This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
-      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "8 I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "9 Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "10 I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "11 From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "12 Cara mengingat pencegahan virus\n",
-      " W-U-H-A-N:\n",
-      "\n",
-      "Bahasa Inggris*\n",
-      "\n",
-      "*W* - wash hands\n",
-      "*U* - use mask properly\n",
-      "*H* - have temperature checked regularly\n",
-      "*A* - avoid large crowds\n",
-      "*N* - never touch your face with unclean hands\n",
-      "\n",
-      "#CoronaVirusIndonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "13 Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "14 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "15 Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
-      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "16 I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "17 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "18 #coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "19 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "20 Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "21 Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "22 trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
-      "\n",
-      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "23 \"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "24 So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
-      "\n",
-      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
-      "\n",
-      "#CoronaVirusUpdate \n",
-      "@TheUnhingedOne_\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "25 Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "26 It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "27 99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
-      "\n",
-      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "28 No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "29 The Coronavirus is freaking me out. At least I got some masks. 😷\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "30 If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "31 Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "32 Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "33 the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "34 Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "35 😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "36 Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "37 How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "38 Current in demand items selling out in stores but available on Amazon: \n",
-      "Water  https://amzn.to/2vurRCi \n",
-      "Masks  https://amzn.to/2wT7M8X \n",
-      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
-      "ad \n",
-      "#coronavirus #coronavirusus #coronavirususa\n",
-      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
-      "#coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "39 It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "40 I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "41 N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "42 If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "43 There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "44 at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "45 No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
-      "\n",
-      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "46 The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "47 A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
-      "\n",
-      "Don’t give me , washing hands is better malarkey. \n",
-      "\n",
-      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
-      "\n",
-      "#coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "48 Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "49 I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "for i, tweet in enumerate(masks3['tweet'].head(50)):\n",
-    "    print(i, tweet)\n",
-    "    print('\\n-----------------------------\\n')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 new police issue might prevent identifying human\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "1 wear need go outside benefit using benefit much basic hygiene manners\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "2 guess nancy put everyone funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "3 washing hands disinfecting electronics save\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "4 americans worried need buy us surgeon general says\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "5 people worried start wearing guess made china facewithtearsofjoy\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "6 get toilet paper sanitizer paper towels tissues vodka next people waiting line hours stores open buy stuff going try luck costco today #japan #coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "7 webinar discuss research related long term respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register #emgtwitter\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "8 went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "9 yet wear worried leading charge\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "10 backed next gen pollution filtration botanicals\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "11 doctors talked apparently help effective hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "12 cara mengingat pencegahan w u h n bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands #coronavirusindonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "13 also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "14 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "15 since medical running stock try going environmentally friendly getting reusable\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "16 seeing glammed love #blackpeople going fly regardless #periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "17 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "18 #nyc panic shopping brunch packed\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "19 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "20 living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "21 crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "22 trump empathy compassion care people die cares think poe red death mar lago hideaway wall country ravaged disease\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "23 ny panic shopping brunch packed kimiko de freytas tamura via nyt check contact us small business needs\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "24 stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy #coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "25 snapchat shoulda made filters irl could keep cute\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "26 moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "27 people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "28 need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "29 freaking least got facewithmedicalmask\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "30 need go see doctor example wear surgical protect others needed unwell go\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "31 okay celeb wearing met gala year saying fit inspired\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "32 seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "33 funniest part basic protect either lol requires n respirator\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "34 informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "35 facewithmedicalmask prevent experts say depends\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "36 wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "37 prepare washing hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "38 current demand items selling stores available amazon water hand sanitizer ad #coronavirusus #coronavirususa #sarscov19 #sarscov2 #china #wuhan #flu #coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "39 ironic say saying effective preventing infection\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "40 refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipeline deadline soon possible yea\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "41 n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "42 one doctors tells wear protect totally dysfunctional immune system going wear\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "43 babies flight today see one person huge airport media democrats worried\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "44 job home depot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "45 need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "46 authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "47 question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched #coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "48 damn surgical block incompetent send flood god\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "49 interested raising fears canada suggesting wear speculating financial impact canada #housing think slow hot housing markets usher correction markets #ldnont\n",
-      "\n",
-      "-----------------------------\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "for i, tweet in enumerate(masks3['cleaned_tweet'].head(50)):\n",
-    "    print(i, tweet)\n",
-    "    print('\\n-----------------------------\\n')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 113,
-   "metadata": {},
-   "outputs": [
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-      "text/plain": [
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-      ]
-     },
-     "execution_count": 113,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 114,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
-    "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
-    "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
-    "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 115,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[(0,\n",
-       "  '0.018*\"hand\" + 0.013*\"sanitizer\" + 0.012*\"people\" + 0.008*\"get\" + 0.008*\"wear\" + 0.008*\"like\" + 0.007*\"gloves\" + 0.007*\"facewithmedicalmask\" + 0.007*\"paper\" + 0.006*\"got\"'),\n",
-       " (1,\n",
-       "  '0.015*\"hospital\" + 0.012*\"health\" + 0.011*\"staff\" + 0.010*\"patients\" + 0.010*\"care\" + 0.010*\"nurse\" + 0.006*\"new\" + 0.006*\"workers\" + 0.006*\"hospitals\" + 0.006*\"medical\"'),\n",
-       " (2,\n",
-       "  '0.023*\"us\" + 0.022*\"doctors\" + 0.022*\"gloves\" + 0.020*\"nurses\" + 0.019*\"china\" + 0.018*\"kits\" + 0.016*\"without\" + 0.015*\"test\" + 0.013*\"risk\" + 0.011*\"million\"'),\n",
-       " (3,\n",
-       "  '0.028*\"facewithtearsofjoy\" + 0.023*\"wearing\" + 0.021*\"gas\" + 0.013*\"man\" + 0.013*\"one\" + 0.011*\"wore\" + 0.009*\"house\" + 0.009*\"rollingonthefloorlaughing\" + 0.007*\"via\" + 0.006*\"gaetz\"'),\n",
-       " (4,\n",
-       "  '0.026*\"people\" + 0.021*\"wear\" + 0.020*\"wearing\" + 0.012*\"infected\" + 0.012*\"need\" + 0.011*\"protect\" + 0.010*\"get\" + 0.009*\"hands\" + 0.008*\"like\" + 0.008*\"sick\"')]"
-      ]
-     },
-     "execution_count": 115,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n",
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
-       "\n",
-       "   subjectivity  \n",
-       "0      0.288889  \n",
-       "1      0.425000  \n",
-       "2      0.000000  \n",
-       "3      0.000000  \n",
-       "4      0.648409  "
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
-    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
-    "masks.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.set_style('ticks')\n",
-    "\n",
-    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 date  polarity  subjectivity\n",
-       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
-       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
-       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
-       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
-       "4 2020-01-01 18:59:24  0.271591      0.648409"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
-    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
-    "masks_ts.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 95,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
-       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
-       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
-       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
-       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
-       "               ...\n",
-       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
-       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
-       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
-       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
-      ]
-     },
-     "execution_count": 95,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks_ts.set_index('date', inplace=True)\n",
-    "masks_ts.index"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 96,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.004358</td>\n",
-       "      <td>0.369293</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>-0.001089</td>\n",
-       "      <td>0.379444</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.111727</td>\n",
-       "      <td>0.440448</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.040365</td>\n",
-       "      <td>0.383991</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.047351</td>\n",
-       "      <td>0.418947</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            polarity  subjectivity\n",
-       "date                              \n",
-       "2020-01-01  0.004358      0.369293\n",
-       "2020-01-02 -0.001089      0.379444\n",
-       "2020-01-03  0.111727      0.440448\n",
-       "2020-01-04  0.040365      0.383991\n",
-       "2020-01-05  0.047351      0.418947"
-      ]
-     },
-     "execution_count": 96,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks_ts_daily = masks_ts.resample('D').mean()\n",
-    "masks_ts_daily.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 97,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
-      ]
-     },
-     "execution_count": 97,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 98,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
-      ]
-     },
-     "execution_count": 98,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import datetime\n",
-    "\n",
-    "dates = []\n",
-    "start_date = datetime.date(2020, 1, 1)\n",
-    "end_date = datetime.date(2020, 6, 11)\n",
-    "delta = datetime.timedelta(days=1)\n",
-    "\n",
-    "while start_date <= end_date:\n",
-    "    dates.append(str(start_date))\n",
-    "    start_date += delta"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.9"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/nlp_features_notebook.ipynb b/nlp_features_notebook.ipynb
index 0e1a381..32de890 100644
--- a/nlp_features_notebook.ipynb
+++ b/nlp_features_notebook.ipynb
@@ -1,20 +1,23 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Creating NLP Features"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# import necessary libraries\n",
+    "\n",
     "import numpy as np\n",
     "import pandas as pd\n",
     "\n",
-    "import twint\n",
-    "\n",
-    "# Fixes runtime errors with twint\n",
-    "import nest_asyncio\n",
-    "nest_asyncio.apply()\n",
-    "\n",
     "import matplotlib\n",
     "%matplotlib inline\n",
     "import seaborn as sns; sns.set_style('ticks')\n",
@@ -22,11 +25,21 @@
     "import nltk\n",
     "from nltk import RegexpTokenizer\n",
     "from nltk.corpus import stopwords\n",
+    "from nltk.probability import FreqDist\n",
     "from textblob import TextBlob\n",
+    "from collections import Counter\n",
     "import re\n",
     "import string\n",
     "import emoji\n",
     "\n",
+    "import gzip\n",
+    "import pickle\n",
+    "\n",
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "from gensim import matutils, models\n",
+    "import scipy.sparse\n",
+    "\n",
     "%load_ext autoreload\n",
     "\n",
     "%autoreload\n",
@@ -36,10 +49,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# increase column width to more easily read tweets\n",
     "pd.set_option('max_colwidth', 150)"
    ]
   },
@@ -47,71 +61,113 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Twitter scrape"
+    "# Loading csvs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
+    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
+    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
+    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
+    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
+    "months = [jan, feb, mar, apr, may]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 17)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.concat(months)\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Obtaining target variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# instantiate Vader sentiment analyzer\n",
+    "analyzer = SentimentIntensityAnalyzer()\n",
+    "\n",
+    "# create a column with the compound polarity score\n",
+    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "def twint_search(search, username=None, since=None, until=None, drop_cols=None, limit=None):\n",
-    "    '''\n",
-    "    Function to return a pandas dataframe of tweets in English containing search terms using twint.\n",
-    "    Required parameter: search term.\n",
-    "    Optional parameters: username, start date (since) and end date (until) to search, columns to drop, maximum number of tweets (limit).\n",
-    "    '''\n",
-    "    c = twint.Config()\n",
-    "    c.Lang = 'en'\n",
-    "    c.Search = search\n",
-    "    c.Username = username\n",
-    "    c.Since = since\n",
-    "    c.Until = until\n",
-    "    c.Limit = limit\n",
-    "    c.Pandas = True\n",
-    "    # Hide the printing of every tweet during scrape\n",
-    "    c.Hide_output = True\n",
-    "    twint.run.Search(c)\n",
-    "    df = twint.storage.panda.Tweets_df\n",
-    "    # Transform date string into datetime object\n",
-    "    df['date'] = pd.to_datetime(df['date']).dt.date\n",
-    "    return df"
+    "# turn this into our target classes: negative, positive, and neutral\n",
+    "conditions = [\n",
+    "    df.sentiment_score > .05,\n",
+    "    df.sentiment_score < -.05\n",
+    "]\n",
+    "\n",
+    "choices = [\n",
+    "    'positive',\n",
+    "    'negative'\n",
+    "]\n",
+    "\n",
+    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(575949, 19)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.shape)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def search_loop(start_date, end_date, search, filename, username=None, drop_cols=None, limit=None):\n",
-    "    '''\n",
-    "    Function to loop over date range and perform twint_search function for each day, returning one combined dataframe.\n",
-    "    Periodically saves progress to CSV after each daily search.\n",
-    "    Required parameters: start date, end date, search term.\n",
-    "    Optional parameters: username, columns to drop, maximum number of tweets per day (limit).\n",
-    "    '''\n",
-    "    df = pd.DataFrame()\n",
-    "    date_range = pd.Series(pd.date_range(start_date, end_date))\n",
-    "    for d in range(len(date_range) - 1):\n",
-    "        since = date_range[d].strftime('%Y-%m-%d')\n",
-    "        until = date_range[d + 1].strftime('%Y-%m-%d')\n",
-    "        day_df = twint_search(search=search, username=username, since=since, until=until, drop_cols=drop_cols, limit=limit)\n",
-    "        # Drop empty columns\n",
-    "        day_df.drop(columns=drop_cols, axis=1, inplace=True)\n",
-    "        # Add new daily data to dataframe, reset index, save to CSV\n",
-    "        df = pd.concat([df, day_df])\n",
-    "        del day_df\n",
-    "        df.reset_index(drop=True, inplace=True)\n",
-    "        df.to_csv(f'Datasets/{filename}.csv')\n",
-    "        print(datetime.now(), f'{since} Saved!')\n",
-    "    return df"
+    "df.reset_index(drop=True, inplace=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -135,173 +191,226 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>conversation_id</th>\n",
+       "      <th>created_at</th>\n",
        "      <th>date</th>\n",
-       "      <th>username</th>\n",
        "      <th>tweet</th>\n",
        "      <th>hashtags</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>username</th>\n",
+       "      <th>name</th>\n",
+       "      <th>link</th>\n",
+       "      <th>retweet</th>\n",
        "      <th>nlikes</th>\n",
        "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
        "      <th>nretweets</th>\n",
+       "      <th>quote_url</th>\n",
+       "      <th>retweet_id</th>\n",
+       "      <th>reply_to</th>\n",
+       "      <th>sentiment_score</th>\n",
+       "      <th>sentiment</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.212523e+18</td>\n",
+       "      <td>1.577923e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
        "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
+       "      <td>8.431951e+17</td>\n",
+       "      <td>Best_of_MLTSHP</td>\n",
+       "      <td>MLTSHP</td>\n",
+       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
+       "      <td>-0.8176</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
        "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
+       "      <td>1.044739e+18</td>\n",
+       "      <td>lumora_lu</td>\n",
+       "      <td>MiLu</td>\n",
+       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
+       "      <td>-0.8905</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.212518e+18</td>\n",
+       "      <td>1.577922e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
+       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
+       "      <td>9.630325e+17</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>odiecher</td>\n",
+       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
+       "      <td>0.6705</td>\n",
+       "      <td>positive</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
+       "      <td>1.212516e+18</td>\n",
+       "      <td>1.200523e+18</td>\n",
+       "      <td>1.577921e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Thought death masks gave you the horn freak</td>\n",
        "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2.819219e+09</td>\n",
+       "      <td>Hevysmoker</td>\n",
+       "      <td>Ashley Collins</td>\n",
+       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
+       "      <td>-0.7783</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.212510e+18</td>\n",
+       "      <td>1.212391e+18</td>\n",
+       "      <td>1.577920e+12</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>2.361956e+08</td>\n",
+       "      <td>FaithR8s</td>\n",
+       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
+       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
        "      <td>False</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
+       "      <td>-0.2960</td>\n",
+       "      <td>negative</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
+       "             id  conversation_id    created_at        date  \\\n",
+       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
+       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
+       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
+       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
        "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
+       "                                                                                                                                                   tweet  \\\n",
+       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
+       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
+       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
+       "3                                                                                                            Thought death masks gave you the horn freak   \n",
+       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
        "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  \n",
-       "0                        []       4         0    False          0  \n",
-       "1                        []       3         2    False          0  \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  \n",
-       "3                        []       3         0    False          0  \n",
-       "4                   [#hugs]       1         0    False          0  "
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Search loop params for March tweets\n",
-    "\n",
-    "start_date = '2020-05-01'\n",
-    "\n",
-    "end_date = '2020-05-16'\n",
-    "\n",
-    "search = '(mask OR masks) AND (covid OR covid19 OR corona OR coronavirus)'\n",
-    "\n",
-    "filename = 'may_first_half_tweets'\n",
-    "\n",
-    "drop_cols = ['timezone', 'place', 'cashtags', 'user_id_str', 'day', 'hour', 'search', 'near', 'geo',\n",
-    "             'source', 'user_rt_id', 'user_rt', 'retweet_date', 'translate', 'trans_src', 'trans_dest']\n",
-    "\n",
-    "limit = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 8)"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%time df = search_loop(start_date=start_date, end_date=end_date, search=search, filename=filename,\\\n",
-    "                       drop_cols=drop_cols, limit=limit)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Preparing csvs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 174,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(191902, 17)"
+       "                                  hashtags       user_id        username  \\\n",
+       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
+       "1                                       []  1.044739e+18       lumora_lu   \n",
+       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
+       "3                                       []  2.819219e+09      Hevysmoker   \n",
+       "4                                       []  2.361956e+08        FaithR8s   \n",
+       "\n",
+       "                  name  \\\n",
+       "0               MLTSHP   \n",
+       "1                 MiLu   \n",
+       "2             odiecher   \n",
+       "3       Ashley Collins   \n",
+       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
+       "\n",
+       "                                                            link  retweet  \\\n",
+       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
+       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
+       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
+       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
+       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
+       "\n",
+       "   nlikes  nreplies  nretweets  \\\n",
+       "0     1.0       0.0        1.0   \n",
+       "1     0.0       0.0        0.0   \n",
+       "2     1.0       1.0        1.0   \n",
+       "3     0.0       0.0        0.0   \n",
+       "4     1.0       0.0        1.0   \n",
+       "\n",
+       "                                                    quote_url  retweet_id  \\\n",
+       "0                                                         NaN         NaN   \n",
+       "1                                                         NaN         NaN   \n",
+       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
+       "3                                                         NaN         NaN   \n",
+       "4                                                         NaN         NaN   \n",
+       "\n",
+       "                                                                                                                                                reply_to  \\\n",
+       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
+       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
+       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
+       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
+       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
+       "\n",
+       "   sentiment_score sentiment  \n",
+       "0          -0.8176  negative  \n",
+       "1          -0.8905  negative  \n",
+       "2           0.6705  positive  \n",
+       "3          -0.7783  negative  \n",
+       "4          -0.2960  negative  "
       ]
      },
-     "execution_count": 174,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test = pd.read_csv('Datasets/may_first_half_tweets.csv', index_col=0)\n",
-    "test.shape"
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### Take a look at our target variable"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 10,
    "metadata": {
     "scrolled": true
    },
@@ -309,60 +418,47 @@
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01     10017\n",
-       "2020-05-02     12871\n",
-       "2020-05-03      9557\n",
-       "2020-05-04     10019\n",
-       "2020-05-05     10009\n",
-       "2020-05-06     18885\n",
-       "2020-05-07     10000\n",
-       "2020-05-08     10010\n",
-       "2020-05-09     10017\n",
-       "2020-05-10      9676\n",
-       "2020-05-11     10000\n",
-       "2020-05-12     10008\n",
-       "2020-05-13     40812\n",
-       "2020-05-14     10000\n",
-       "2020-05-15     10019\n",
-       "Stat Butler        2\n",
-       "Name: tweet, dtype: int64"
+       "positive    239200\n",
+       "negative    221363\n",
+       "neutral     115386\n",
+       "Name: sentiment, dtype: int64"
       ]
      },
-     "execution_count": 175,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test.groupby('date').tweet.count()"
+    "df.sentiment.value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(144036, 17)"
+       "positive    0.415315\n",
+       "negative    0.384345\n",
+       "neutral     0.200341\n",
+       "Name: sentiment, dtype: float64"
       ]
      },
-     "execution_count": 176,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop = test.drop_duplicates(subset='tweet')\n",
-    "test_drop = test_drop.drop_duplicates(subset='id')\n",
-    "test_drop.shape"
+    "df.sentiment.value_counts(normalize=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 12,
    "metadata": {
     "scrolled": true
    },
@@ -370,4667 +466,406 @@
     {
      "data": {
       "text/plain": [
-       "id                      0\n",
-       "conversation_id         0\n",
-       "created_at              0\n",
-       "date                    0\n",
-       "tweet                   0\n",
-       "hashtags                2\n",
-       "user_id                 2\n",
-       "username                2\n",
-       "name                    7\n",
-       "link                    3\n",
-       "retweet                 3\n",
-       "nlikes                  2\n",
-       "nreplies                3\n",
-       "nretweets               3\n",
-       "quote_url          133479\n",
-       "retweet_id         144036\n",
-       "reply_to                3\n",
-       "dtype: int64"
+       "count    575949.000000\n",
+       "mean          0.017756\n",
+       "std           0.505938\n",
+       "min          -0.998400\n",
+       "25%          -0.381800\n",
+       "50%           0.000000\n",
+       "75%           0.440400\n",
+       "max           0.999600\n",
+       "Name: sentiment_score, dtype: float64"
       ]
      },
-     "execution_count": 177,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop.isna().sum()"
+    "df.sentiment_score.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "id                 0\n",
-       "conversation_id    0\n",
-       "created_at         0\n",
-       "date               0\n",
-       "tweet              0\n",
-       "hashtags           0\n",
-       "user_id            0\n",
-       "username           0\n",
-       "name               0\n",
-       "link               0\n",
-       "retweet            0\n",
-       "nlikes             0\n",
-       "nreplies           0\n",
-       "nretweets          0\n",
-       "reply_to           0\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 178,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "test_drop.drop(columns=['quote_url', 'retweet_id'], inplace=True)\n",
-    "test_drop.dropna(inplace=True)\n",
-    "test_drop.isna().sum()"
+    "# uncomment to save\n",
+    "# df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 151,
+   "cell_type": "markdown",
    "metadata": {},
+   "source": [
+    "## Load file with sentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "scrolled": false
+   },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "[]                     2\n",
-       "1256719851021897728    2\n",
-       "1256720281038716928    2\n",
-       "1256716917659906050    2\n",
-       "1256720164449468416    2\n",
-       "                      ..\n",
-       "1258825216035188737    1\n",
-       "1256329153134989313    1\n",
-       "1258539046386589698    1\n",
-       "1257656889011249152    1\n",
-       "1257786716036964356    1\n",
-       "Name: id, Length: 144036, dtype: int64"
+       "(575949, 19)"
       ]
      },
-     "execution_count": 151,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop.id.value_counts()"
+    "# uncomment to load\n",
+    "# df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
+    "df.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# convert date column to datetime\n",
+    "df['date'] = df.date.astype('datetime64[ns]')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA/Feature Engineering"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
+   "source": [
+    "- **See if number of likes has an effect on sentiment**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(144036, 17)"
+       "sentiment\n",
+       "negative    105452\n",
+       "neutral      49210\n",
+       "positive    121327\n",
+       "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 157,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop = test_drop.drop_duplicates(subset='id')\n",
-    "test_drop.shape"
+    "df[df.nlikes > 0].groupby('sentiment')['tweet'].count()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 18,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01      9749\n",
-       "2020-05-02     12238\n",
-       "2020-05-03      9125\n",
-       "2020-05-04      9646\n",
-       "2020-05-05      9520\n",
-       "2020-05-06      9514\n",
-       "2020-05-07      9563\n",
-       "2020-05-08      9503\n",
-       "2020-05-09      9354\n",
-       "2020-05-10      8967\n",
-       "2020-05-11      9163\n",
-       "2020-05-12      9334\n",
-       "2020-05-13      9457\n",
-       "2020-05-14      9469\n",
-       "2020-05-15      9433\n",
-       "Stat Butler        1\n",
+       "sentiment\n",
+       "negative    18052\n",
+       "neutral      8223\n",
+       "positive    21355\n",
        "Name: tweet, dtype: int64"
       ]
      },
-     "execution_count": 158,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_drop.groupby('date').tweet.count()"
+    "df[df.nlikes > 10].groupby('sentiment')['tweet'].count()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- **Doesn't seem to affect much**\n",
+    "\n",
+    "- **How about month?**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 160,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01    5933\n",
-       "2020-05-02    6192\n",
-       "2020-05-03    5888\n",
-       "2020-05-04    6076\n",
-       "2020-05-05    5939\n",
-       "2020-05-06    5788\n",
-       "2020-05-07    5762\n",
-       "2020-05-08    5457\n",
-       "2020-05-09    5738\n",
-       "2020-05-10    5468\n",
-       "2020-05-11    5676\n",
-       "2020-05-12    5599\n",
-       "2020-05-13    5783\n",
-       "2020-05-14    5613\n",
-       "2020-05-15    5810\n",
-       "Name: tweet, dtype: int64"
+       "0    1\n",
+       "1    1\n",
+       "2    1\n",
+       "3    1\n",
+       "4    1\n",
+       "Name: month, dtype: int64"
       ]
      },
-     "execution_count": 160,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "filt = 'covid|dead|death|doctor|infect|novel|nurse|outbreak|rona|sars|viral|virus|wuhan'\n",
-    "\n",
-    "test_drop[test_drop.tweet.str.contains(filt)].groupby('date').tweet.count()"
+    "df['month'] = df.date.apply(lambda x: x.month)\n",
+    "df['month'].head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
-   "metadata": {},
+   "execution_count": 20,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(75000, 15)"
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
       ]
      },
-     "execution_count": 180,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_5k = test_drop[test_drop.tweet.str.contains(filt)].groupby('date').head(5000)\n",
-    "test_5k.shape"
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 181,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "date\n",
-       "2020-05-01    5000\n",
-       "2020-05-02    5000\n",
-       "2020-05-03    5000\n",
-       "2020-05-04    5000\n",
-       "2020-05-05    5000\n",
-       "2020-05-06    5000\n",
-       "2020-05-07    5000\n",
-       "2020-05-08    5000\n",
-       "2020-05-09    5000\n",
-       "2020-05-10    5000\n",
-       "2020-05-11    5000\n",
-       "2020-05-12    5000\n",
-       "2020-05-13    5000\n",
-       "2020-05-14    5000\n",
-       "2020-05-15    5000\n",
-       "Name: tweet, dtype: int64"
+       "month  sentiment\n",
+       "1      positive     0.412361\n",
+       "       negative     0.409046\n",
+       "       neutral      0.178592\n",
+       "2      negative     0.421300\n",
+       "       positive     0.401849\n",
+       "       neutral      0.176851\n",
+       "3      positive     0.430622\n",
+       "       negative     0.387278\n",
+       "       neutral      0.182100\n",
+       "4      positive     0.405667\n",
+       "       negative     0.346007\n",
+       "       neutral      0.248327\n",
+       "5      positive     0.417187\n",
+       "       negative     0.393458\n",
+       "       neutral      0.189355\n",
+       "Name: sentiment, dtype: float64"
       ]
      },
-     "execution_count": 181,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "test_5k.groupby('date')['tweet'].count()"
+    "df.groupby('month').sentiment.value_counts(normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- **Not much effect here either**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Cleaning text\n",
+    "#### Start with NLTK stopwords and add our own subject-specific ones"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 208,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
-    "test_5k.to_csv('Datasets/5k_may_1_15_tweets.csv')"
+    "# start with NLTK stop words\n",
+    "stop_words = stopwords.words('english')\n",
+    "\n",
+    "# add search term words and hashtags to the list\n",
+    "stop_words += ['mask', '#mask',\n",
+    "               'masks', '#masks',\n",
+    "               'face', '#face',\n",
+    "               'facemask', '#facemask',\n",
+    "               'facemasks', '#facemasks', \n",
+    "               'covid', '#covid',\n",
+    "               'covid19', '#covid19',\n",
+    "               'corona', '#corona',\n",
+    "               'coronavirus', '#coronavirus',\n",
+    "               'rona', '#rona',\n",
+    "               'virus', '#virus',\n",
+    "               'viral', '#viral',\n",
+    "               'viruses', '#viruses']\n",
+    "\n",
+    "# very common/conflicting stop words discovered during eda\n",
+    "eda_stop_words = ['wear', 'wearing', 'get', 'one', 'people', 'us', 'like', 'n95',\n",
+    "                   'go', 'going', 'would', 'surgical', 'via', 'also', 'use', 'even', 'know']\n",
+    "\n",
+    "stop_words += eda_stop_words"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create clean tweet column with our clean_text function\n",
+    "#### Save as a series, because that'll be helpful later"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 209,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1256720837660545024</td>\n",
-       "      <td>1256715090545512449</td>\n",
-       "      <td>1588460571000</td>\n",
-       "      <td>2020-05-02</td>\n",
-       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.639668e+08</td>\n",
-       "      <td>modernactivism</td>\n",
-       "      <td>Modern Activism</td>\n",
-       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1256372751314685953</td>\n",
-       "      <td>1256015002651299847</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Absolutely. Most successful countries address ...</td>\n",
-       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
-       "      <td>8.397868e+08</td>\n",
-       "      <td>RealRandyCohen</td>\n",
-       "      <td>ARJAY</td>\n",
-       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.210424e+18</td>\n",
-       "      <td>RSRINIVASABABU1</td>\n",
-       "      <td>R SRINIVASA BABU</td>\n",
-       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1588377573000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
-       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
-       "      <td>3.932328e+07</td>\n",
-       "      <td>themamamaven</td>\n",
-       "      <td>Nancy Johnson Horn</td>\n",
-       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
-       "      <td>1588377570000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.284107e+09</td>\n",
-       "      <td>NolandTt</td>\n",
-       "      <td>Tom Noland</td>\n",
-       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     id      conversation_id     created_at        date  \\\n",
-       "4   1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22  1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23  1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24  1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26  1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "\n",
-       "                                                tweet  \\\n",
-       "4   Coronavirus-Did the US just supply a million f...   \n",
-       "22  Absolutely. Most successful countries address ...   \n",
-       "23  Bhubaneswar: Transgenders sew and distribute m...   \n",
-       "24  Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
-       "26  I only sneak out every 4 days or so for grocer...   \n",
-       "\n",
-       "                                             hashtags       user_id  \\\n",
-       "4                                                  []  2.639668e+08   \n",
-       "22           ['#coronavirus', '#covid__19', '#masks']  8.397868e+08   \n",
-       "23                                                 []  1.210424e+18   \n",
-       "24  ['#covid__19', '#mask', '#wearamask', '#hack',...  3.932328e+07   \n",
-       "26                                                 []  2.284107e+09   \n",
-       "\n",
-       "           username                name  \\\n",
-       "4    modernactivism     Modern Activism   \n",
-       "22   RealRandyCohen               ARJAY   \n",
-       "23  RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24     themamamaven  Nancy Johnson Horn   \n",
-       "26         NolandTt          Tom Noland   \n",
-       "\n",
-       "                                                 link  retweet  nlikes  \\\n",
-       "4   https://twitter.com/modernactivism/status/1256...    False     0.0   \n",
-       "22  https://twitter.com/RealRandyCohen/status/1256...    False     0.0   \n",
-       "23  https://twitter.com/RSRINIVASABABU1/status/125...    False     0.0   \n",
-       "24  https://twitter.com/themamamaven/status/125637...    False    10.0   \n",
-       "26  https://twitter.com/NolandTt/status/1256372709...    False     1.0   \n",
-       "\n",
-       "    nreplies  nretweets                                           reply_to  \n",
-       "4        0.0        0.0  [{'user_id': '263966773', 'username': 'moderna...  \n",
-       "22       0.0        0.0  [{'user_id': '839786785', 'username': 'RealRan...  \n",
-       "23       0.0        0.0  [{'user_id': '1210423564052004865', 'username'...  \n",
-       "24       1.0        9.0  [{'user_id': '39323281', 'username': 'themamam...  \n",
-       "26       0.0        0.0  [{'user_id': '2284107283', 'username': 'Noland...  "
-      ]
-     },
-     "execution_count": 209,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may1 = pd.read_csv('Datasets/5k_may_1_15_tweets.csv', index_col=0)\n",
-    "may1.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 210,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>1261808631747657728</td>\n",
-       "      <td>1261808631747657728</td>\n",
-       "      <td>1589673595000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>Yes - but only for \"crooks who hide their face...</td>\n",
-       "      <td>['#facemasks', '#crime', '#masks', '#ccpvirus'...</td>\n",
-       "      <td>7.905461e+08</td>\n",
-       "      <td>AlanTonelson</td>\n",
-       "      <td>(((Alan Tonelson)))</td>\n",
-       "      <td>https://twitter.com/AlanTonelson/status/126180...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>[{'user_id': '790546093', 'username': 'AlanTon...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>1261808527766695941</td>\n",
-       "      <td>1261808527766695941</td>\n",
-       "      <td>1589673570000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>12 more deaths, 12 more hospitalizations. \\n\\n...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.033256e+07</td>\n",
-       "      <td>deanbarker</td>\n",
-       "      <td>Dean Barker</td>\n",
-       "      <td>https://twitter.com/deanbarker/status/12618085...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '20332563', 'username': 'deanbark...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1261808522284748805</td>\n",
-       "      <td>1261808522284748805</td>\n",
-       "      <td>1589673569000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>After the fight with Corona Virus,the next fig...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.173606e+18</td>\n",
-       "      <td>gyaigyiimi</td>\n",
-       "      <td>Sb Orlando🇬🇭😊💉</td>\n",
-       "      <td>https://twitter.com/gyaigyiimi/status/12618085...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>[{'user_id': '1173605836725379074', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1261808482380058624</td>\n",
-       "      <td>1261808482380058624</td>\n",
-       "      <td>1589673560000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>rude of coronavirus to ruin mask fetishes for ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.229881e+18</td>\n",
-       "      <td>eliszabethmoss</td>\n",
-       "      <td>ms moss says viva la revolution</td>\n",
-       "      <td>https://twitter.com/eliszabethmoss/status/1261...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '1229881477518778369', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1261808398120747008</td>\n",
-       "      <td>1261808398120747008</td>\n",
-       "      <td>1589673540000</td>\n",
-       "      <td>2020-05-16</td>\n",
-       "      <td>Face Masks Fashion &amp; Health Care. \\n\\nNow I st...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>5.594146e+08</td>\n",
-       "      <td>dawoodfarsi</td>\n",
-       "      <td>dawood al-farsi | داود الفارسي</td>\n",
-       "      <td>https://twitter.com/dawoodfarsi/status/1261808...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>[{'user_id': '559414580', 'username': 'dawoodf...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     id      conversation_id     created_at        date  \\\n",
-       "20  1261808631747657728  1261808631747657728  1589673595000  2020-05-16   \n",
-       "21  1261808527766695941  1261808527766695941  1589673570000  2020-05-16   \n",
-       "22  1261808522284748805  1261808522284748805  1589673569000  2020-05-16   \n",
-       "23  1261808482380058624  1261808482380058624  1589673560000  2020-05-16   \n",
-       "24  1261808398120747008  1261808398120747008  1589673540000  2020-05-16   \n",
-       "\n",
-       "                                                tweet  \\\n",
-       "20  Yes - but only for \"crooks who hide their face...   \n",
-       "21  12 more deaths, 12 more hospitalizations. \\n\\n...   \n",
-       "22  After the fight with Corona Virus,the next fig...   \n",
-       "23  rude of coronavirus to ruin mask fetishes for ...   \n",
-       "24  Face Masks Fashion & Health Care. \\n\\nNow I st...   \n",
-       "\n",
-       "                                             hashtags       user_id  \\\n",
-       "20  ['#facemasks', '#crime', '#masks', '#ccpvirus'...  7.905461e+08   \n",
-       "21                                                 []  2.033256e+07   \n",
-       "22                                                 []  1.173606e+18   \n",
-       "23                                                 []  1.229881e+18   \n",
-       "24                                                 []  5.594146e+08   \n",
-       "\n",
-       "          username                             name  \\\n",
-       "20    AlanTonelson              (((Alan Tonelson)))   \n",
-       "21      deanbarker                      Dean Barker   \n",
-       "22      gyaigyiimi                   Sb Orlando🇬🇭😊💉   \n",
-       "23  eliszabethmoss  ms moss says viva la revolution   \n",
-       "24     dawoodfarsi   dawood al-farsi | داود الفارسي   \n",
-       "\n",
-       "                                                 link  retweet  nlikes  \\\n",
-       "20  https://twitter.com/AlanTonelson/status/126180...    False     0.0   \n",
-       "21  https://twitter.com/deanbarker/status/12618085...    False     2.0   \n",
-       "22  https://twitter.com/gyaigyiimi/status/12618085...    False    43.0   \n",
-       "23  https://twitter.com/eliszabethmoss/status/1261...    False     2.0   \n",
-       "24  https://twitter.com/dawoodfarsi/status/1261808...    False     1.0   \n",
-       "\n",
-       "    nreplies  nretweets                                           reply_to  \n",
-       "20       0.0        1.0  [{'user_id': '790546093', 'username': 'AlanTon...  \n",
-       "21       0.0        0.0  [{'user_id': '20332563', 'username': 'deanbark...  \n",
-       "22       1.0       10.0  [{'user_id': '1173605836725379074', 'username'...  \n",
-       "23       0.0        0.0  [{'user_id': '1229881477518778369', 'username'...  \n",
-       "24       1.0        0.0  [{'user_id': '559414580', 'username': 'dawoodf...  "
-      ]
-     },
-     "execution_count": 210,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may2 = pd.read_csv('Datasets/5k_may_16_31_tweets.csv', index_col=0)\n",
-    "may2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 211,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(75000, 15)\n",
-      "(80000, 15)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(may1.shape)\n",
-    "print(may2.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 212,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(155000, 15)"
-      ]
-     },
-     "execution_count": 212,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may = pd.concat([may1, may2])\n",
-    "may.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 214,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "may.to_csv('Datasets/5k_may_tweets.csv')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Loading csvs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 233,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "jan = pd.read_csv('Datasets/5k_jan_tweets.csv', index_col=0)\n",
-    "feb = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "mar = pd.read_csv('Datasets/5k_mar_tweets.csv', index_col=0)\n",
-    "apr = pd.read_csv('Datasets/5k_apr_tweets.csv', index_col=0)\n",
-    "may = pd.read_csv('Datasets/5k_may_tweets.csv', index_col=0)\n",
-    "months = [jan, feb, mar, apr, may]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 234,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 17)"
-      ]
-     },
-     "execution_count": 234,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = pd.concat(months)\n",
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Obtaining target variable"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 235,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "df['sentiment_score'] = df['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 236,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conditions = [\n",
-    "    df.sentiment_score > .05,\n",
-    "    df.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "df['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 334,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(575949, 20)\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(df.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 257,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.reset_index(drop=True, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 295,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "      <th>sentiment_score</th>\n",
-       "      <th>sentiment</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212523477896294400</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]</td>\n",
-       "      <td>-0.8176</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/1212518043353530368</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]</td>\n",
-       "      <td>-0.8905</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557690748928</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430526826479616</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username': 'odiecher'}]</td>\n",
-       "      <td>0.6705</td>\n",
-       "      <td>positive</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/1212515585562726401</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]</td>\n",
-       "      <td>-0.7783</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409858670593</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...</td>\n",
-       "      <td>-0.2960</td>\n",
-       "      <td>negative</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at       date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12 2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12 2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12 2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12 2020-01-01   \n",
-       "\n",
-       "                                                                                                                                                   tweet  \\\n",
-       "0                                               https://mltshp.com/p/1HLSB  \"This is the death mask of Thomas, an unknown peasant that died in a river.\"   \n",
-       "1  Ready to heard this? Homemade hair treatment and ann cherry dead sea mud mask... Fucking putas swear they are more woman than me.... Bitch shut th...   \n",
-       "2  We all know what a joke #CCPChina is when it comes to epidemic outbreak,think of how they stayed silent about #SARS.\\nDear world,stay away from #H...   \n",
-       "3                                                                                                            Thought death masks gave you the horn freak   \n",
-       "4                               Interesting cult of death mask he’s wearing, 🤔\\nelectronically posing as he did as of the CIA while Brennan was Chief. 🧐   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name  \\\n",
-       "0               MLTSHP   \n",
-       "1                 MiLu   \n",
-       "2             odiecher   \n",
-       "3       Ashley Collins   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌   \n",
-       "\n",
-       "                                                            link  retweet  \\\n",
-       "0  https://twitter.com/Best_of_MLTSHP/status/1212523477896294400    False   \n",
-       "1       https://twitter.com/lumora_lu/status/1212518043353530368    False   \n",
-       "2        https://twitter.com/odiecher/status/1212517557690748928    False   \n",
-       "3      https://twitter.com/Hevysmoker/status/1212515585562726401    False   \n",
-       "4        https://twitter.com/FaithR8s/status/1212510409858670593    False   \n",
-       "\n",
-       "   nlikes  nreplies  nretweets  \\\n",
-       "0     1.0       0.0        1.0   \n",
-       "1     0.0       0.0        0.0   \n",
-       "2     1.0       1.0        1.0   \n",
-       "3     0.0       0.0        0.0   \n",
-       "4     1.0       0.0        1.0   \n",
-       "\n",
-       "                                                    quote_url  retweet_id  \\\n",
-       "0                                                         NaN         NaN   \n",
-       "1                                                         NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430526826479616         NaN   \n",
-       "3                                                         NaN         NaN   \n",
-       "4                                                         NaN         NaN   \n",
-       "\n",
-       "                                                                                                                                                reply_to  \\\n",
-       "0                                                                                      [{'user_id': '843195118924546048', 'username': 'Best_of_MLTSHP'}]   \n",
-       "1                                                                                          [{'user_id': '1044738746913034241', 'username': 'lumora_lu'}]   \n",
-       "2                                                                                            [{'user_id': '963032516759207936', 'username': 'odiecher'}]   \n",
-       "3                                 [{'user_id': '2819219369', 'username': 'Hevysmoker'}, {'user_id': '1107018506300780544', 'username': 'cutedeadguys3'}]   \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8s'}, {'user_id': '14745988', 'username': 'ThunderB'}, {'user_id': '14138785', 'username': 'Telegraph...   \n",
-       "\n",
-       "   sentiment_score sentiment  \n",
-       "0          -0.8176  negative  \n",
-       "1          -0.8905  negative  \n",
-       "2           0.6705  positive  \n",
-       "3          -0.7783  negative  \n",
-       "4          -0.2960  negative  "
-      ]
-     },
-     "execution_count": 295,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.to_csv('Datasets/5k_jan_thru_may_tweets.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 19)"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = pd.read_csv('Datasets/5k_jan_thru_may_tweets.csv', index_col=0)\n",
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['date'] = df.date.astype('datetime64[ns]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 19)"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# EDA/Feature Engineering"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sentiment\n",
-       "negative    18052\n",
-       "neutral      8223\n",
-       "positive    21355\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df.nlikes > 10].groupby('sentiment')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sentiment\n",
-       "negative    105452\n",
-       "neutral      49210\n",
-       "positive    121327\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df.nlikes > 0].groupby('sentiment')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sentiment\n",
-       "negative    221363\n",
-       "neutral     115386\n",
-       "positive    239200\n",
-       "Name: tweet, dtype: int64"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('sentiment')['tweet'].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Timestamp('2020-01-01 00:00:00')"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.date[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    1\n",
-       "1    1\n",
-       "2    1\n",
-       "3    1\n",
-       "4    1\n",
-       "Name: month, dtype: int64"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['month'] = df.date.apply(lambda x: x.month)\n",
-    "df['month'].head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "month  sentiment\n",
-       "1      positive     0.412361\n",
-       "       negative     0.409046\n",
-       "       neutral      0.178592\n",
-       "2      negative     0.421300\n",
-       "       positive     0.401849\n",
-       "       neutral      0.176851\n",
-       "3      positive     0.430622\n",
-       "       negative     0.387278\n",
-       "       neutral      0.182100\n",
-       "4      positive     0.405667\n",
-       "       negative     0.346007\n",
-       "       neutral      0.248327\n",
-       "5      positive     0.417187\n",
-       "       negative     0.393458\n",
-       "       neutral      0.189355\n",
-       "Name: sentiment, dtype: float64"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('month').sentiment.value_counts(normalize=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "count    575949.000000\n",
-       "mean          0.017756\n",
-       "std           0.505938\n",
-       "min          -0.998400\n",
-       "25%          -0.381800\n",
-       "50%           0.000000\n",
-       "75%           0.440400\n",
-       "max           0.999600\n",
-       "Name: sentiment_score, dtype: float64"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.sentiment_score.describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "month  sentiment\n",
-       "1      positive     0.412361\n",
-       "       negative     0.409046\n",
-       "       neutral      0.178592\n",
-       "2      negative     0.421300\n",
-       "       positive     0.401849\n",
-       "       neutral      0.176851\n",
-       "3      positive     0.430622\n",
-       "       negative     0.387278\n",
-       "       neutral      0.182100\n",
-       "4      positive     0.405667\n",
-       "       negative     0.346007\n",
-       "       neutral      0.248327\n",
-       "5      positive     0.417187\n",
-       "       negative     0.393458\n",
-       "       neutral      0.189355\n",
-       "Name: sentiment, dtype: float64"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('month').sentiment.value_counts(normalize=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>sentiment</th>\n",
-       "      <th>negative</th>\n",
-       "      <th>neutral</th>\n",
-       "      <th>positive</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.692308</td>\n",
-       "      <td>0.054945</td>\n",
-       "      <td>0.252747</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>0.566879</td>\n",
-       "      <td>0.089172</td>\n",
-       "      <td>0.343949</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.602564</td>\n",
-       "      <td>0.108974</td>\n",
-       "      <td>0.288462</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.587097</td>\n",
-       "      <td>0.083871</td>\n",
-       "      <td>0.329032</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.500000</td>\n",
-       "      <td>0.097701</td>\n",
-       "      <td>0.402299</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-27</th>\n",
-       "      <td>0.425400</td>\n",
-       "      <td>0.180400</td>\n",
-       "      <td>0.394200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-28</th>\n",
-       "      <td>0.421400</td>\n",
-       "      <td>0.177800</td>\n",
-       "      <td>0.400800</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-29</th>\n",
-       "      <td>0.395200</td>\n",
-       "      <td>0.148600</td>\n",
-       "      <td>0.456200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-30</th>\n",
-       "      <td>0.431400</td>\n",
-       "      <td>0.149000</td>\n",
-       "      <td>0.419600</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-31</th>\n",
-       "      <td>0.431200</td>\n",
-       "      <td>0.141600</td>\n",
-       "      <td>0.427200</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>152 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "sentiment   negative   neutral  positive\n",
-       "date                                    \n",
-       "2020-01-01  0.692308  0.054945  0.252747\n",
-       "2020-01-02  0.566879  0.089172  0.343949\n",
-       "2020-01-03  0.602564  0.108974  0.288462\n",
-       "2020-01-04  0.587097  0.083871  0.329032\n",
-       "2020-01-05  0.500000  0.097701  0.402299\n",
-       "...              ...       ...       ...\n",
-       "2020-05-27  0.425400  0.180400  0.394200\n",
-       "2020-05-28  0.421400  0.177800  0.400800\n",
-       "2020-05-29  0.395200  0.148600  0.456200\n",
-       "2020-05-30  0.431400  0.149000  0.419600\n",
-       "2020-05-31  0.431200  0.141600  0.427200\n",
-       "\n",
-       "[152 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# sort by percentage of trees in good health\n",
-    "days = df.groupby('date').sentiment.value_counts(normalize=True).unstack()\n",
-    "\n",
-    "# plot a stacked bar graph\n",
-    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
-    "#                    title = 'Tree Health Across Boroughs', \n",
-    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
-    "\n",
-    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
-    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
-    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
-    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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vXs1LL71ELBZj4sSJ/OQnP+nQ70opxV133cVDDz3EmjVrWLNmDbm5udTU1HDppZdyyimnpI8dPXo0Dz/8MHfffTdvvvkmL7zwAsXFxZx33nl861vfSgefHT0um/3gBz9g2rRpPPzwwzz99NOYpsn48eO55pprOlVYWwi/Urqr0/uEEEIIIcSAIGMIhRBCCCEGOQkIhRBCCCEGOQkIhRBCCCEGOQkIhRBCCCEGOQkIhRBCCCEGOQkIhRBCCCEGOQkIhRBCCCEGOSlM3UUNDQ288sorVFRUZBTsFUIIIYTINvF4nJ07dzJv3jyGDRvWar8EhF30yiuvcN111/V3M4QQQgghOuyOO+7gS1/6UqvtEhB2UUVFBdDyi50wYUI/t0YIIYQQon3btm3juuuuS8cvR5KAsItS3cQTJkxg6tSp/dwaIYQQQohja2+Ym0wqEUIIIYQY5CQgFEIIIYQY5CQgFEIIIYQY5CQgFEIIIYQY5CQgFEIIIYQY5CQgFEIIIYQY5CQgFEIIIYQY5CQgFEIIIYQY5LIyIFy7di1VVVUZ/66++moAdu7cyTe/+U1qamo466yzeOmllzIeu2HDBs4991yqq6u5+OKL+eijjzL2P/DAA8yfP5/a2lpuuOEGotFon12XEEIIIUQ2ysqA8IMPPmDx4sW88sor6X+33347WmuuvvpqioqKWLNmDUuWLOHaa6/lk08+AWDXrl1cddVVnHfeeTz++OMMHz6cq6++Gs/zAFi3bh133XUXN910E7/73e945513uP322/vzUoUQQggh+l1WBoTbtm2jqqqK0tLS9L8hQ4awYcMGtm/fzo9//GMmTpzI5ZdfTm1tLWvWrAHg0UcfZdKkSVx22WVMnDiRW2+9lV27drFhwwYA7r//fi666CIWLVrEtGnTuPnmm3nyySdpbm7uz8sVQgghhOhXWRkQfvjhh4wfP77V9s2bNzNlyhQKCgrS22bMmMFbb72V3j9r1qz0vtzcXE488UQ2bdqE67q88847GftrampwXZd33323F69GCCGEECK7Wf3dgCMlk0k++eQT/vKXv/CLX/wCrTVf+MIXuPbaa9m7dy9lZWUZxw8bNozdu3cDtLu/rq6OpqYmEolExn7LsigqKko/XvjXyx+9zNPvPd3h4yuHVXL5jMt7sUWiPVv2buG3b/0WT3v93RTRBdUjqrm4+uJW28OJMHf81x3EnFg/tEoIcSz7P95/1P1ZFxB+9NFHOI5DXl4eq1at4uOPP+aWW26hubmZRCJBIBDIOD4YDGLbNgCxWIxgMNhqfzKZJB6Pp39ua//RrFq1itWrV3f30kQv+utHf+WNz94goALHPLYp2cRftv9FAsJ+8sbON/jbp38jYBz7tRLZZV98H6/vfL3NgHDH/h1s3LWRpkQTOWZOP7ROCHE0yfqjxzpZFxCecMIJbNiwgeLiYgAmTZqE1prvfOc7nH/++UQikYzjk8kkOTktbz6hUKhVcJdMJikqKiIUCqV/bu/x7bnmmmu45pprMrb94x//YNmyZZ2/QNEronaUoBEkJ3DsD6J9iX3UR+tJukmCZvCYx4ueFUlG8PDIDeb2d1NEJ9VF64jH4m3uc7WL67lotLy2QmQhFVBH3Z+VYwhTwWDKhAkTsG2bsrIy9u7dm7Gvvr6e0tJSAEaMGNHu/lRQWF9fn97nOA779+9v1c0s/CfmxDBUx/6cTWXiaY/mpEwm6g/hZFiygz6lUOmqDUdyPAdPe5jK7ONWCSF6QtYFhOvWrePUU0/NyORt2bKFIUOGUFNTw9atWzNqB27cuJGamhoAqqurefPNN9P7YrEYW7ZsoaamBsMwmDZtGhs3bkzvf+uttzBNk8mTJ/fBlYneFLU7Xk/SMixc7RJJRo59sOhx4URYggafUkrharfNfY7n4Gq3w1/MhBDZJevu3FmzZqG15oc//CHbt2/nxRdf5I477uDSSy9l9uzZjBo1iuXLl/PBBx9w7733snnzZs4//3wAli1bxubNm/mP//gPPvzwQ2688UZGjRrFnDlzALjwwgu57777WLduHe+88w4/+tGPWLZsGfn5+f15yaIHdCYgNI2WDOH++NEH2IreEUlGJGjwKYXC9doPCD3tyWsrhE9l3RjC4uJifv3rX3PbbbexdOlSCgoKuOCCC7jiiitQSnH33Xdz4403snTpUo477jhWr17N6NGjARg9ejSrVq3itttu45577qG6upq7774bw2h5gzr77LPZuXMnN998M8lkksWLF7N8+fL+vFzRQ5rtZjS6Q8dahoWnPfY07+nlVom2hJNhlDr6WBaRnZRS7c4Odz0XrXX6/VYI4S9ZFxACTJkyhQceeKDNfWPHjuXBBx9s97ELFixgwYIF7e6//PLLufxymV06kDieQ9JNdjggNJWJUorPIp/1cstEW8LJMFp37LUS2UWh8PDazARKhlAIf5M7V/hezG6pe9bRIMM0Wsav7Y3sPcaRoqc5nkPciXc4eBfZRSmF1hrHc1rtczwHjZbsrxA+JQGh8L1UIdz2xjYdyTJaEuMHEgd6rU2ibamJPO1NTBDZTaHQ6DbvNVe3lJxRSEAohB9JQCh8L2pH0Vp3OMgwlIGhDJoSTb3cMnGkcCIMuuPBu8guhjJA036GUEuGUAi/koBQ+F5zshlPe50al2YqUwLCfhBJRvC0J8vW+ZjmGF3GkiEUwpckIBS+F7WjbX5AHY1lWIST4V5qkWhPOBnG9myZVOJThjLazcZLhlAIf5OAUPhezIlhuzZBq+PL0JmGKYWp+0E4ESbhJAhZof5uiugCpVpmGbf1BSy1bJ1kCIXwJwkIhe9F7Si2Z3dq9QtTmbJ0XT+IJCM42iFgytJ1fqRQoMF27Vb7HM9BoSRDKIRPSUAofC9qR3G1m5493BGWYRF1Or66iegZ4WQY13Nl6TqfUqpllnHSTbba53iOBINC+JgEhML3Upm+zhTENQ0zXb9Q9J1wIkzACEjg4FOpsjMJN9Fqn6tdDPlIEcK35O4VvhdzYljK6lSQYSqzpUCyTG7oU5FkRLqLfSx1jyWc1gGh7doS6AvhYxIQCt+L2tH06iMdZRomtmu32fUlek84GZbuYh9TtKxU0tZ942pXAkIhfEwCQuF7UTva6SDDMixc7dJsy8SSvhRJRiRo8LFjjiGUGcZC+JYEhML3ona000FGKiAMJ6QWYV8KJ8ISEPqYoQwUiqjdekKW4zmdGscrhMgucvcK34va0U5/EJnKxNMe++L7eqlVoi3hZMvSdcLf4k681TbXcyVDKISPSUAofK9LAaFhorWmLlLXS60SR/K0R7PdjJaI0LdS91l7GUKJB4XwLwkIhe9F7WinZwubykQpxWfhz3qpVeJIqfJAnifrGPtVqvC0lJ0RYuCRu1f4XlvZimNJFbFuiDb0dHNEO1JrR7e1Dq7wh9T4z7a6jG3XlgyhED4mAaHwNddzSbgJPDqXdUqVqTmQONAbzRJtCCfCeNrD05Ih9KvUGMF2y85IRCiEb0lAKHwtlR3sbJexoQwMZUhA2IciyQiO50hA6GOpDGF7axkLIfxLAkLhazGnZfk51+t8N6RlWDQlmnq6SaId4WSYhJMgaAX7uymii1IZQNtrOyCUDKEQ/iUBofC1qB0FTZeyTqYyiSQjvdAq0ZZwIozt2QQMWbrOr1IZwja7jLvwpUwIkT0kIBS+FrWjuNrtWkBomOmZr6L3RZIRXM9NT+gR/pMqO9Nul7EkCIXwLQkIha9F7WiXxy5ZhiUBYR8KJ8NYhiUrlfiYdBkLMXBJQCh8LWpHsV2bgNn5bkhTmUSdzpesEV0TSUYkOzhAtNU97HhOpyd3CSGyhwSEwteidhTbs7sUaFiGRcyO9UKrRFuaEk0SEPqcUgqFIum1XXZGEoRC+JcEhMLXonYUT3tdCjRMwyTmxCSr0UciyUinlxgU2cdQBo7bepiG4zkoLRGhEH4l787C11IBYVcCDVOZOJ7T5qoLoueFE2EZYzYAKKVwdNsBoby8QviXBITC16J2tMsTFSzDwtUuzbZMLOkLqaXrhL8pFLbTelKJq13JtgvhYxIQCl9LBYRdYRomnucRTkig0tu01kSSETQSMPjdUTOEQgjfkoBQ+FrUjqbXJe4sU5l42qM+Wt/DrRJHitpRNBrPk2Xr/E6hWgV/WmsJCIXwOQkIha9F7ShGF/+MLcNCo9nTvKeHWyWOlOoudrWsZuF3SrUOCFOF4aXLWAj/koBQ+FrUjna50LFpmCil2BXe1cOtEkcKJ8JorSUgHADayhCmXlcZEiCEf0lAKHwtake7PHM1NfawIdbQk00SbYgkI1K4eIBoK0PY1lJ2Qgh/kYBQ+FrU7vpKI6ZqGXt4IHGgp5oj2hFOhkm6SSlMPQAcLUPYlTXFhRDZQQJC4WvdCQiVUpjKpCne1IMtEm2JJCMk3SRBM9jfTRHdpJRqtXSdTCgRwv8kIBS+5XouCTfRrXFLpmFKfbw+EE6EcT0Xy5QMod8ZymhVdiYVEEqGUAj/koBQ+FbMaVmHuDsfQqaSgLAvhJNhDMOQpesGAIVqtXRdKmMok0qE8C95dxa+leouPrL7qjMsw6I5KSuV9LZIMkLACPR3M0QPUEq1mi3ueA5oCQiF8DMJCIVvRe0o6G5mCA1TAsI+EE6Eu1xAXGQXRdtjCCUYFMLfJCAUvhW1o7jaxaPrAaFlWDQ7EhD2tnAynJ7VLfytvQyh1hqJCYXwLwkIhW9F7Wi6q6qrTGUSt+M91yjRpkgy0uV6kSK7tJUhdLXbsjShTCoRwrckIBS+FbWj2K5NwOz62DTTMFtmKkvB5F4lE3cGjrYKUzueg6c9CfqF8DEJCIVvRe0otmd3q9ixZVg4ntOteobi6LTWRJKR/m6G6CEK1SoTmAoQtZIvVkL4lQSEwreidhRPe90KCE1l4nouzbaMI+wtCTeRziAJ/2srQ+h6Lq52MeQjRQjfkrtX+FYqIOxObTvLsHC1SzghXZq9JfW79TwJCAcCQxltZgg9z8Mw5CNFCL+Su1f4VtSOEjACKNX1cUumYeJpj/pofQ+2TBwukoygtW61uoXwJ0Xbs4w9uvflTAjRv+TuFb4VtaPdrm2XKoWyO7K7J5ok2hB34njaaxVECH9qq+yMq92WDKF8pAjhW3L3Ct+K2bFu17azDAulFLsiu3qoVeJIMSfWrdVkRHZRKLTWGTPz07OMu5GtF0L0LwkIhW81283d7qJKZRgbY4090STRhrgT7/ZscJE9lGoJCA+fWJJaqURWoxHCvyQgFL4VtaPdzkikMoxN8aaeaJJoQ8yO4XiOBIQDhEKh0RndxrJ0nRD+l/UB4Q9+8AMuvvji9M9bt27lf/yP/0F1dTVLly7l7bffzjj+mWeeYfHixVRXV3PVVVfR0NCQ3qe15uc//zlz5sxh1qxZ/OQnP8F1pSvLr6J2tNtjlpRSWIZFU0ICwt4Sd+K42pWAcIBoK0Poei5aa5lUIoSPZfXd+9prr/HYY4+lf45Go/zrv/4r1dXVPPHEE8yYMYMrrriCSKSl6O3bb7/N8uXLueqqq3jkkUeIRCJcd9116cf/9re/5cknn2TlypWsXr2atWvX8utf/7rPr0v0jJgT65GshKlM9if290CLRFtiTqzb5YFE9khlCNvqMpaVSoTwr6x9h45Go/zbv/0b06dPT2975plnCAQCLF++nAkTJvD973+fwsJCnn32WQAefPBBzjjjDJYuXcqkSZO44447eOWVV/joo48AuP/++7nmmmuYNWsWJ598Mt/97nd56KGH+uX6RPf11OoieYE8duzf0SPPJVqLO3HJHg0g7Y0hRCOTSoTwsax9h/75z3/O7NmzmT17dnrb5s2bmT59err4qVKK6dOns2nTpvT+WbNmpY8vLy+noqKCTZs2UVdXx65du5g5c2Z6/4wZM9i9eze7dskMU79xPbcl0OiBDGFBsIBdkV0ciB/ogZaJI8WdOKYyJVgYIAxltIwhPGzmuKtdPGQtYyH8LCsDwk2bNvHcc89x/fXXZ2zfu3cvZWVlGduGDRtGXV0dAHv27Gl3/969ewEy9g8fPhyA3bulBp3fxJwYQI8sh1YQLCBmx3hr91vdfi7RWsyOyfjBAaS9Lq/lo5QAACAASURBVGOQDKEQfpZ179LJZJIbb7yR73//+wwdOjRjXywWIxgMZmwLBoMkk0kA4vF4u/vj8Xj658P3pc55NKtWrWL16tVduyDRK1LdxT2xHFp+MB+AP237EwvGLej284lMcScugcIAkuoyTrqH3jcdz5EhAUL4XNbdwb/85S8ZO3YsZ511Vqt9oVCoVfCWTCbJyck55v62gr/Uf+fm5h61Tddccw3vvfdexr/HH3+88xcnekzUjoKmR1a/MJRBfjCfzbs390DLxJFSXcZiYEh1CyfcRHqb4znSXSyEz2VdhvCPf/wje/fupba2FgDbtnFdl9raWs4555x0129KfX09paWlAIwYMYL6+vo2948YMSL9c35+S0Yo9Vypxwv/iNmx9LilnlAQLOC/9/+31MvrBZIhHFiUaukyTjiHAkLXcyVDKITPZd0d/MADD7B27VqeeuopnnrqKc4//3ymTp3KU089RXV1NZs2bUovmaS15s0336SmpgaA6upqNm7cmH6uXbt28dlnn1FTU8OIESMYNWpUxv6NGzdSVlZGeXl5316k6LZmu7llUHsP1cItCBbQlGjivxv/u2eeUKTFnJiscTuApJauO7LLWIJ+Ifwt61IhFRUVGT8PGTKEnJwcxo4dy7Bhw/jpT3/KihUruPDCC3n00Udpbm7mi1/8IgD/83/+Ty6++GKmT59OdXU1t9xyC/Pnz2fcuHHp/T/72c8oLy/HNE1+9rOfcckll/T1JYpuSjgJ1m1bR9JLErJCPfKcBcECbNfmhR0vUDm8skeeU7SIO3GkN3HgaCtDKF3GQvhf1gWER1NQUMCvfvUrbrrpJh577DGqqqq49957KSgoAKC2tpYVK1awcuVK9u/fz6mnnsqKFSvSj7/00ktpbGzk2muvxTAMli5dyqWXXtpflyO6oD5az7+//O+81/AeJTklGeOYuiNoBglZIV775DWunHlljzynaJGaES4GBnXwf4ffe66WLmMh/C7rA8Jvf/vbGT+fdNJJPPnkk+0ev2TJEpYsWdLmPtM0Wb58OcuXL+/RNoq+sbV+K7f89RYao43kmDkkvWSPdlMVBAt4t/7dHns+0SLuxPu7CaIHpe655mRzepvt2pIhFMLn5Cud8IWkm+SmF29if3w/pjJxtHPsB3VSQbCAPc17aIg2HPtg0WFxJ95jYz1F/0sFfocH+j0x218I0b8kIBS+0BBtIGpHiSajaNU70UVBsIC4E+fNXW/2yvMPRo7npNe5FQODoQyUUhkBoUwqEcL/JCAUvlAfrcfzvF7JDKbkBfJQKNZtW9dr5xhsYnbL+EEJCAeOVOB3+NhQCQiF8D8JCIUvNMQaiDmxXi1wnCpQ/Xbd2712jsEmlUU6fN1b4W+pLmPbs9PbXM+VMYRC+JwEhMIX6qP1JJwEOVZOr56nIFjAjv07Mmqsia5LjR/sqQLiov+lMoFHlp0RQvibBITCFxpjjRiGgWn07hJoBcECIskIHzR80KvnGSxiTgwPL11MXvhfKhN4eNbX1ZIhFMLvJCAUvlAfrSdoBnv9PLmBXGzP5u+f/b3XzzUYxJ04rudKQDiApDKESe9QFt127fYOF0L4hASEwhcaog0EVKDXz2MZFkopPm36tNfPNRikAkKZcDBwpMcQHhYEStkZIfxPAkLhCw2xhj4JKkxlolDUR+t7/VyDQdyJY3s2lpH1NfBFB6Xuw8PHDcoYQiH8TwJCkfVcz6Ux1tgnpUuUUgTMAI2xxl4/12AQs2M4nkPA7P3srugbbWUIpeyMEP4nAaHIevvj+9HoPitdYhkW++P7++RcA13cieNpT9a5HUCUalnLOKPsjJZxokL4nbxLi6xXH61Ha91nA9cDRoADiQN9cq6BLubEJCAcgJRSkiEUYoCRd2mR9RpiDSTdZJ+tdmEZFk2Jpj4510AXd+IopSQgHGAMZWSsGiRjCIXwP3mXFlkvtY5xbxelTgmYAZrt5j4510AXs3t3dRnRf46cVCJdxkL4mwSEIus1xBrwtNdnExMswyLhJDJWYhBdE3fiMsN4ADKU0WrpOiGEv0lAKLJefbSekBnqszFKASOA4zkyjrAHxJ24dBcPQAqF4x6RIeyjIR1CiN4h79Qi6zVEG/q0bIllWDieQ0O0oc/OOVDFnJgEhAOQUirdZexpT4JBIQYAeacWWa8h1tCn49ACZgBPe3wW/qzPzjlQpSaViIFFcSggTP2/jCEUwt8kIBRZTWtNQ6xvM3Wp5eu279vep+cdiOJOHKUlIBxoDs8QyvhBIQYGCQhFVoskIyTdZJ9+6ASMlu7p3ZHdfXbOgSruxEHiwQGnzQyhdBv7Vo52qdEHQLK8g5oEhCKrNcQaQJNR86y3GcpAofo8MzkQxZxYeqkzMXAopXB1y5e0w8cSCn8aR5Rar4GhOtnfTRH9SAJCkdUaog3Ynt2nGcLUesYSEHZf3IlL5mgAOjxDmAoM5WX2ryAeBh4hT0ptDWYSEIqsVh+tJ+bE+nSWMch6xj1Ba90SEEo31IBjKCMdEKaWsJPA37+CeAQMk0L6ZnlQkZ0kIBRZrSHWgO3ahKxQn543YARk+bpuSrgt2QYJFAamVNbe1S5o8JAuY78K4WEpg2KJCAY1eflFVquP1hMwA31eyy5gSkDYXTE7BoDnSaAw0BjKyBhDKEG/v4XwMJWixJDxvoOZBIQiqzXGGgkawT4/r2VYRJKRPj/vQBJ34oBkjgYipVQ6Q5gKCGVogH+1jCFUDDXkNRzMJCAUWa0+Wo9p9F1R6hTLsEi6yXRQIzov5sTQWh+adCAGjIxJJZ7bEgxKLOFbQTxMoFDJiziYSUAoslpDrKFfypYEjAC2Z0u3cTfEnXhLKRL5jBlwjiw7o7WWepM+FsLDUIoC5MvbYCYBochaCSdBJBnpl/pmlmHheq6sZ9wNMTvWkj2SiHDAUahWYwilDqF/hQ5mCPMkIBzUJCAUWStVB9D2+r4UQmo9453hnX1+7oEi7sSxPRvLsPq7KaKHHTmG0NNen0/8Ej1Ea4J4LfVX8QhIYD9oyR0sslZDtAHP8/plDJqsZ9x9cSeO4zkSEA5ACpXOCLraxfVcCQh9KoBGAa4RwNJasoSDmNzBImulilKbqu8nlaTWM66L1PX5uQeKuBPH1a4EhANQqwwhkiH0q9DBKgCeChBQEJTVSgYtuYNF1mqINZBwEuRYOX1+bkMZGMpgb3Rvn597oIg5MelKHKCOrEMor7N/BfFAa5QRIMcwyPekssJgJXewyFoN0QYMw+iXsjNKKSzDYl98X5+fe6BILVsngcLA5GmvpayQ50pA6GMhPDw0uVYIQxkUmTJdfLCSO1hkrYZYA0Gz74tSpwSMgKxn3A1xJ46pTJSSD5iBxlBGusZkquyMBIT+lMoQFlp5KGXIaiWDmNzBImvtj+/HUv03/swyLA4kDvTb+f0uZsf6Jbsrep9CodE4npMuOyOBvz+F8DCAXCsXZVgUyes4aElAKLJW1I726/kDZoBwItyvbfCzVIZQDDxKtQSErncoQ9gfBeRF9wUPrmNsmgGUClBoyCzjwUoCQpG1mu3mfj2/rGfcPTEnJt2IA5RCoXVLhtDVLcXH5bX2p1BqhrgywLAokLXHBy25g0XWak72f0CYcBOynnEXxZ04hiFvMQORUocCwnSGULoafSmIh6cMlFIoI0AeTn83SfQTebcWWcnTHjEn1q/LngWMAI7nyHrGXRR34igtQcJAlBpDePikEuky9qcQHt7BoR3KsAhpF1NWKxmUejQg9DyPTz75pCefUgxSqfGD/bk+amo94/pofb+1wc9idgyJEQam1BhCx3PSBaqFPwXx0Acn7ykVwAJypdt4UOpUQDh58mTWrl3b7v4nnniCL3/5y91ulBCpgLA/P2zS6xk3yXrGXRF3pat9oEqVnbFdG8dzWrobs7HLWGuG6r5fC91PQnjo1OQvwyKgNLlaVisZjI5a06Ouro7XXnst/bPWmjfeeAPHaT3GwPM8/vjHP2bnm4LwneZkM1rrfs8QKqXYsX9Hlx5/z9/voTHWyPdP+37PNswnZOzlwJXqHk6tV52tE0pGE+dMXccf9Ejqjb5f8cgPgniodJdxgJAyCLkJMPL7uWWirx01ICwpKeGee+5hx44dQEs3wSOPPMIjjzzS7mMuvvjiHm2gGJya7WY87fVrQJhaz3h3ZHeXHv9Bwwds37+9J5vkK3EnTj8OARW9KNVlbHs2rnazNhEwligWmnIvLAFhOzIDQgvLMClWmk/7uV2i7x01IAwEAtx33318+umnaK352te+xhVXXMHcuXNbHWsYBiUlJRx//PG91lgxeDQnm7G9/u3qSa1n3NUxhI3xRnaGB2d38+EFi8XA0ypDmI3zE7VmNDHyTYvjTcU7WfqnaGqPAJp4P9XsDOEdqgagWnpFSqzsDPBF7zrmMhCjRo1i1KhRANx2223MnDmTMWPG9HrDxOAWtaMk3SRBq/+WrkutZ9wYa+z0Y7XWNMYaaUo0DcqSHDE7BvTvpCDRe1JlZxJuIj2GMNsMxaEAl1zDpEI7WZutXkg9Rdpmjaro83Ob2sNEYx4M6FvGgloUKbL29yV6T6fWBVuyZElvtUOIDJFkBMdzyLVy+7UdXV3P+EDiAJ72iDtxonaU/ODgGo+TGj8oAeHAlCo7k3AOBoRZOJ28ghhaexSEhkF8HyHtksiylXOG6wRjiRHQNvnaobmPl+oMHZxNnLF8sRFgiMreAFr0nk799SWTSVauXMkf//hH6uvr8bzWb/ZKKbZs2dJjDRSDU9SO4nlev6+FaxkWTcnO1yFsjDWChqSTJJKMDM6AUIPno/IVOdqlECf9r+Cw/87B43lK2aVkHBoczCShiNkxXM/NygLkY4jhGiGK8spwE/sYpmN8pgr6u1kZajiAQlMRCDLMbqbZHNqn5w/igdZYh00KUoZFgTo0y1hpzRfYw1YK2K4G1/vYYNOpgPCOO+7gwQcfZMKECcycOZNgsP+688TA1mw3o5Tq99mLATPQpcLUjbFGbM/G0Q774/sZUTCiF1qXvWJODA8Prf2RZjhRN3EK+0BrNB4G4BkBPCMERj4jdDOT7LAEhAelMoIxJ4bjZV82ydQe5STQgRKUmUu+aVKejPEZ2RMQlugkY4kRDw6nUEUY5yT5uAefX2lNEO+oWdEgHhpNvnEoFGhZreRQua8K4ozSMZKezXZLAsKBrFMB4bPPPssZZ5zBypUre6s9QgAtk0oso2+7T9piGVaXltBrjDUSs2Nordkb3UsVVb3QuuwVd+K4nuubgHAcURxlUZJfxshgHoXBAkwzkN6fDO8g4h3gL56GLBwv19dSdQdjdqzPxxDmaYdJRNjEUHQ75x1BAkN75AVCKMPENHMYb3lszKI/x1oO4GqYOmQkZvwzjnfivNyDCfUqIszW+3iEinaDwtDBL21DrMMCQmWRo12U1milOIEIptJMDpqs90/CX3RBp9Ivzc3NnHbaab3VlrRt27bx9a9/ndraWhYuXMj/+T//J71v586dfPOb36SmpoazzjqLl156KeOxGzZs4Nxzz6W6upqLL76Yjz76KGP/Aw88wPz586mtreWGG24gGo32+vWIzova0awICHOsHOJOnH/u+WenHtcYayTpJQEGZWHrVFdiNk42OJKpPUpJogJFTBpaQVFucUYwCGAGhlCsHIp0sp9amV1SGcKEm2gpO9OHYwhPooka3UiZjrV7zGjiKDRVBaUAGFYeFar3qhYorSnWSYwOfgEq1knGEcUODac4mIey8hmB3aNLxpWSJKSTjPba7+EI4WGgybPyDm00AlhocnEJao+xxMg3gxThkKNlVZqOsrTHOB0Fn3wphk4GhFOnTuUf//hHb7UFANu2ueyyyygvL+epp57ihz/8IXfffTdPP/00WmuuvvpqioqKWLNmDUuWLOHaa69NL5e3a9currrqKs477zwef/xxhg8fztVXX50e67hu3TruuusubrrpJn73u9/xzjvvcPvtt/fq9YiuababMbNgAPiw3GG4nsudr97Zqcc1RBvSmZO6SF0vtS57xZ04tmcTOCKwykZlJDG1R2Gg/SEwRrCQItPgOC/chy3LXqmhHAknge32XXkoU3ucQDNDDIsK3X7mfjQxklYhQbPlNVVWHoU45OnWiyr0hCoiLNGfcaH+hNP1Xip1hOBRgqcaDuBqzZSCMqAlYM1TLiU9uELIUGwKrBDTzPa/xATxMJRB0AqltynDwlKaXG0zjmYM7ZKTU0KugpKjBOEi00k0cbquo9RHq750KiC8/vrree6553jooYdobOx8KY6OqKur46STTuKmm25i7NixLFy4kFNPPZU33niDDRs2sH37dn784x8zceJELr/8cmpra1mzZg0Ajz76KJMmTeKyyy5j4sSJ3HrrrezatYsNGzYAcP/993PRRRexaNEipk2bxs0338yTTz5Jc3PnuwRF72pONnc5u2RozUK9l7G6+9lf0zApLyznrx//la31Wzv8uMZYIwWBlvFKjfHeuVeyWWpsWTZkeY9lJHHAY2L+sHaPUUaAYCCfqQHJkADpezPpJvu0MPV4ogS0Q7FlUtXOn1a+dijGJhA4NF7QMHPJU1Di9U6PUBkJlDIZkTuEqabLIuo5W3+GaiM7VKSTjCdKMjSc4TktY/IMK59Cw6Tc67nPoqHYBJTiBMMm0E7mMYiHqRRkTCoJkKMMQm6MSpqxVZAx+aPIM01GSkDYMVpzAhHyDYNJdH4M+rGeu1zHezSbnNKpgPC6664D4N///d+ZO3cukydPbvVvypQp3WrQ6NGjueuuu8jJyUFrzcaNG3njjTeYM2cOmzdvZsqUKRQUHLrRZ8yYwVtvvQXA5s2bmTVrVnpfbm4uJ554Ips2bcJ1Xd55552M/TU1Nbiuy7vvvtutNoue12w3d7kbagb7Ga8jVOt9PdKWsvwyYk6sU1nCxlgjQTOIoQwOxA/0SDv8JOEk8LTX7UlBo3SMf9E7qdX7CfVSd1U5cRwzjxzr6BNGjEAhY5RNUErppO/NVAHyvlJFBNsIUJJbymjVdhdtBXG09qgIHZoAoaxc8kyL0arj2ZrjdJQzdV27wdThhpHEsfKoLKlkStk0TiyewFRLM0G3DgZmsx9Pw5TC0kPtMywsK5eJgZ7pXgxplxw8EmY+Q5Wmwou0fRwenjJQhweEyiJgGIxWdstYzJwSTCuAaeZwvBSs7pCRJCjQDoVmgGrTafOLQVcEtccZ7OUsvZtleicTdHOPdkl36ut7dXV1n44Jmj9/Pnv27GHhwoWceeaZ3HrrrZSVlWUcM2zYMHbvbllabO/evW3ur6uro6mpiUQikbHfsiyKiorSjxfZI2p37Zv8KB3jJJrINQNMVprnXI9kN4MS0zApLyjnxR0v8l79e1QNP/YEkcZ4I0opTGV2aZay38WcWI8EhJOIMBSH+aqJad5+3mMI7zCEaA/VazO1RxlJCJQc+9jAEArVZ5R7ET4yh/TI+f3q8AxhX9UhHKptRpLACZViBgvJb65jmE6w94iZ36OJ4SmLirxDr6lSBoaVy/GmzYaOfH5qzQz2U0aCk3U9r6iydg81tUcxNsoqOnguhZVTQmmigflemO26EPfgfVChY4zRUWKhUkpDhRnPY1h5jFH7oAcmLg3FAa0xAgUUug5T3Tg7aP03G8LDOzIMMCwUBlPNlsB6Qm5Run2j1L5+m1E+SYcJ4vG26n5pHkNrvF6MZSqJ4AJlhRUEmj6mXEf5rJsle4Zqm8XsoVDbOKFhTCTO8GQ9n+oAGyhhTw9UQOjUu2pfj7e7++672bNnDzfffDO33XYbsViMQCBzTFIwGMS2W8awxGKxVqVwgsEgyWSSeDye/rmt/UezatUqVq9e3d3LEZ3QbHe+6ySkXRbQQAyLSUOPIxHe0eaH90n6AOOI8rQq7/Bzl+WXsSuyiztfvZP/PO8/j3qs67nsi7W8cVqGxYHE4MsQxp14t8sGmdpjNDHigWKmF1ewK7yTYYkDVLhRnqCiR2b7lh4cP5hnHvvNVFl5FFohKp0YH7Xx4TqYHJ4hdL3OZ25ztMts9qGAKCZRTCJYNBAkgtnma1tFBK09TsgfhmHlMsQ0GJUMs/ewNYoNrakgjhcY2ip5YVh5jFT1GQHXKB0jjEVYZX6ulJGkRCcpCOZzihvnI7eZT4y2P9BLsFFak2cceg6lFIH8UYxNvkdV8gBbzGKU1pzCPuLKYlbRqFbPo6x8hrCXQhzCdG/s7VBstHapCBVgupoqey/Pul46ME0J4qGP+HKllAGGSa5S7DcLGJHbEoApM5ch7CVPOz32hazDtKaGA+TrJB+RxwHV9d/PJB3mFPbxgh7Oxyrv2A/oJEt7LROGgsXk5AyjKLqbyU6Ez+h6QHicjrKAepSGUOF4aoeUorWmPN5AQXgnpU4dv9VjWr2+ndWlRzc2NrJ27VruvfdePv30UxobG9m2bVu3GtKWadOmsWjRIpYvX87vf/97AoFAOvhLSSaT5OS0vCGEQqFWwV1qfygUSv/c3uPbc8011/Dee+9l/Hv88ce7e3miHbZrk3STnVvlQmtOo4Ec7VA2ZCyFOSUUWiEmGfGMw5TWnEiYUq+5U2MwTMNkZMFIXtzxIu83vH/UYw8kDqDRONrBNEwiyba7awaymB3r9qSgCuJY2qMolI9h5VJRPJETisYzxdKU6fixn6ADUuMHJ+QfO0OolMIIFjLJdDO6aUp0S/AwmByZIexMgjCoXc6ijgk6wmTDZraKMJ9GFuvd/Iv+hK/yKWfqOibpcPr3bBwck5WwhlIaKjzYxZrXahzh2INjDIeEWtcbVGYuBaql+DjARB3hLPaw2NvdqktvEmFcpagoOp5RoXwWG43tzrAdRhKNx7jcIzJ+gQKKQ0XMN5sJaq8l260T5OaVk3fYJI708VYe+QYMd7v/fjEUG9MwKQgNwQwWMVR5VOjWzxvCgzaKiisjgKUgJ3AoG9cy8QWKujgO09Qeo3WsZeZtJw3FIR+X4abBTN31MdmTdJi5NJKvNGeohlaTjILa4xy9mwW6vsMzxo80jiiWdikNDUEpg0CoiGmW06UxfwXaYZHey2K9B0cFqCg5gdohLUMNlFIEc4czrmgcx1lGj0xI6nRAeN9997Fw4UK++93v8vOf/5xPPvmEN998k3POOYcf/ehH3a47VldXx/r16zO2TZgwAdu2KS0tZe/evRn76uvrKS1t+QWNGDGi3f1FRUWEQiHq6+vT+xzHYf/+/a26mUX/SnUX6070TVQSYayOEg+VMbmgpKW7NjiEqiPGb4wmRp52GGKojOKrHTEifwRRO8ovX//lUY9rjDWitU5PquhKHUO/izvxbk8oGUsUjaIq/9BYKyM0lBIrwNQ2xmZ1RTkJbDOP3EDHultays+4DDv45jtRR/gSuzhXf8aIHgpS/SCdIdROp8rOWNrjTPZSpJOYBWOpHVnNtJHTqR45ndrSqYwuKGdYaCgnWLBINXKO3kWRTnIcUULaZWjosAAlkM8YI5lxf1cRwVEBphz2N5M+/mBAM8xtZoyOMp8GXGUx2dJMPOzvKaRdjieKHSgmP5BHbuE4jrcM5nl72xyvNZwkqAD5wcJW+wL55Yy2YLrXwAz2EzXymF7Y9ueNMnPINYMcb3Z/TOZQbBwj1FIv0spniBViimr99xnEgza+uCllgedy4pDhh7ZZOS3jMGk/8MjRLl/QdSzTn7FI72Gm3seJuonP6z1cxKecoev4vLeb4k5+gaoghvZcinNKmG4lO/14gEodYS6NhI1cJpRUMc4yWagPvaam9ljMHsp0nBoV4XSvLiOIM7SmRu9nsd5z1GDxBJpxVIDK/JbfnREqolh5R50VfyRTe0zX+/kKn6WHGMwqrWJcbuvucsPKo9AwKOuBCUmdCgj/+Mc/cscdd/D5z3+eX/ziF+ng78QTT2Tx4sX8/ve/54EHHuhWg7Zt28Y111xDQ0NDets///lPSkpKmDFjBlu3bs2oHbhx40ZqamqAljGOb775ZnpfLBZjy5Yt1NTUYBgG06ZNY+PGjen9b731FqZpMnny5G61WfSsVHdxZ7qijiOGYwSZWzw6vc0IFFLEoQ9vgEqasdAMtwLkeJ37RmUaJvnBfDbXbT7qcalVSjzttQSEXej+9ru4E+9Wd7HSmrHEcAJDCZiHF801CeaUUBPo/uQOQ2tGkEAFWn+Qt/uYQCFDDYPjdJhqfYAFNBBVIcaHcjibPRl/awNZauk627WxPbtD48paPnD3MlzH0fmjmTV0xKHnMiysYAEVQ4/jxGETmVo6lclFx3NiAJbpzziFfbjK5MTDginDKqAAL50ZKdAOo4ijQ8WYZhtBjhkixwhQY0ZZRD1RFaRy2CRG5AxlvhHGOvj3NPFgqZVROcUHz5NLccFopltJJraRZRtOEtfKbXN8vWHlMTRnGKdYMYLaYVRhRZttS/0eDCuf8Wb3B+kV4aAPDoNQSmEFhzLZtFsFMiE8jDYCQit3BKVDxpJ/2EQrpUwMM4fx7UwsKdAO57KbkTpGSSCHKktzioowj0ZGk0AHiikoGE1VTg61nZzwN4o4rhmiaMg4ykyL2Z3MEp6gI8yjgbDK5ZRhE8kPDaGk8DhOshym6v0orVlIPSN0DCevgsriCcwM2CzWdVjaY7hO8CV2MV3vp5JmjtNtl5/K1w7lxNGhkvTrbFgFDLVCnKg6lhk1tOYM9lKj9xE38xlTUsWC4eMzXovDKSOAZeYwsQcqfHXqHfu+++5j7ty5/PSnP2X27Nnp7eXl5axcuZIFCxbw2GOPdatBs2bNYsKECSxfvpxt27bxl7/8hZ/+9KdceeWVzJ49m1GjRrF8+XI++OAD7r33XjZv3sz5558PwLJly9i8eTP/8R//wYcffsiNN97IqFGjmDNnDgAXXngh9913H+vWreOdd97hRz/6EcuWLSM/jgZkiwAAIABJREFUX5bjySbNyWa01ridmFWai4dphjKCByPQUjtu3MGbN6RdjiOKFxxKrmFS0IUP74AZOOas4dQqJTlWDqYyuzxBxs9iTqxbAeFIEoS02+Ya0GaohBJDM97bn7E9pF2q9QEKdeu6eEO1zWm6PuMDvZQEpvbINzu+BKcyLAKBAk4148zU+zhgFHByaRUjiycxIRTiHOoGTfFqpRSO2zKG8JjZfK35HPWU6yh2bjlz2hhDd+RzB3KHMX74VCbmD2Ok8nCDxViHBVNGIL9lHOHB2pCVREB7TMgrbuc5DUwrj7GGQxKTSUUTGBbMbRnrZ8KJXsvShZMJkzBzmVh4qAyRmTOcUTmFnGpkBgKG1hSTxDBz270WK28kZaZJxCygquDoQxMMK49Sku3ObM7XzjGLHSutGYKNaRz6uzaCQylSHuVHZKlaMoSt71MjkE9pwcg221eu7FbnL9JJzmU3ebjkFR7PzNJJVJdNY+rI6dSOrOWU8unMLZ3AiUNHkZtbxnQrSUEbNSGLdLLVcyutW4Isq2WoQF7eCKpNu8Nfvkp0knk0EDFymT18IvkHewOMUDHluSUsNMIsZi/H6SixnBHMLa7AyhnGcUXHU2s5fFnv5Dx2U4CLkT+aytxCZrQT3E2kGaU9js8rOtR+pbBCxUwxnfTrWqKTLND1LbOEj3AKjZTrKMncchaOmMzo3GOPV1ZWLmNU9zPLnXrH3rZtG6effnq7+xcuXJguEt1VgUCAe++9F9M0Of/88/nhD3/I1772NS655BJM0+Tuu++msbGRpUuX8oc//IHVq1czenRLVmj06NGsWrWKP/zhDyxbtoz6+nruvvvu9MLrZ599NldddRU333wz3/jGN5g6dSrLly/vVntFz2u2m3E8p1PDD3JwW7o5DqMMi0CwkGkHa8elbtZhucMwlcEw1flv4gEjQCQZOWrbGqIN2J5N0AxiGRYJJ9Glgfd+1t0M4TiieGgmFwxvtU+ZuQwJFjLbTKQ/PJTWLGIvs/Q+/kV/ygJdT5FOkqcd5uoGlvEZVTrMGdQz+eAXhJEkAI8T8tsOINpjBodQqCAcLOFzpSeQb4VQZpCSokpOCAY5h7o2P+wGGoXqcNmZWg4wVkeJBss4rWRMx89hWJQUTaBy+ImcXDzmiH0BAlYulYGW17+SCAmrkPLconaeraXAeEBZHFc0gfLclnGGRiCf4twSTjOjjCfKUG0TCmb+TSilCOQMY4zhZgT8RbRk3XKN9tMzhhmiZNjU/8/emwfJcdb3/6/nefqca2cvrW5pdfmSL8Am5rKDHahg7FQwpFIuUhAcXOZOxUnMkSpIKsGuJHxJ/QzmiMPXNwbs8HVMAhhDMPgQPnXYlmydu5J2Je29c/dM9/P7Y3ZWuzuzq5k9LK3UrypXWdMzPc/MTnd/+nO837yr/cTqBMKIEBEBrdPo/b2TAa7UR7lYD9fcDhCjhATsSTfHMZoMi7MnBDJCa0w0soEwQBgu8bF+vgptusD7OYpC05JYx4UTy8xCIKQ5KXtqOG20S8nmYHKWcL1Oc53u4fwp2cM2PCwdjGfIlNNOu2nyVk6cJRRjveU+gguaO4mbEzOeAiu2ilWWzVoypM0W3tW8eny7sptZlVzPJkOQUQnOajubS5LLMZw2NqoiTVNvPMf6XPMqyvIpv0FllcvG5wbDvFv38cf0sok076WPtwSD420P5+gU5+gUKbOZtydXUi/SiNZ2ktGa1TqLW2dypaEmn2g0Sio1vVJ/T08Pkcjcp3aWLVvGt7/97Zrb1qxZw3333Tftay+//HIuv/zyabffeOON3HjjjXNeY8jCkS1mKQWl8UC+Hhx8pKwufUgzwbLcKBFdYhNpPOnQGWsn7x2lzVANSyiYyqTgF8gUM8Ss6sZ1OK5BKITAkAa+9skUMyTsM2cyNVfMzV6eQmvWkKVkNuHUaL4XQqDsFlbnu2gtFRgQDm9hmKU6T8npYKOhacoPsbF0mJJQCB2Qs1o4J7aEmHcMlR1EjmUdSsolYjZ2zlJOO8tUhDVGdNJvVCqb1uRGNg29znu9o/w/ls156u9URghBMSiOD5VY2uddDLCLOIfE8YzZKp3lTYwwqmL8fsvqGfY4Pcp0qVVolUaU1WKAFeSJ6hLKnlmSxHA72OAsqSrvGpFlLM8PcoXXh4/gokR1n5+ymkgqybriCC+qco9iGx5aB6x2Zm47ENKsa25YGlFi0mClznJkylRqUnusIE/ccHhXMIoOBFtldfDbRIlAByQnZL6FkCgzztnF0XE/Yovy/xgNnGelURb4bg4yZFQTEV3iD+gDBMub17O+Ro/bVISyiLqtXOr381LgUxCKpPZ4B4M4QnCZyPHKBFmYFWODX5UbNyEVkchSzi8epCcY4Sg2g5g1/Zo3k6JV59GRlbTb1dUGIQ3iTRtozwxwYWxZ1TVH2UlWL7mYNRN+L8pupkUd5pziMFvU8V7VjWRo0kW0Vd2/KowIcdPlbaVRclqQt9s4P74E2+vHyhyj2fd4nQSXMUhKRXhXa2dD1z9puLhC0xJk6JmgqtGOxx/oYxQ0PCvb2K5nHvRrKCB85zvfyQMPPMCHPvShqsXu2rWL+++/nyuuuKKRXYaEVJHxMni+h62qg4FaSK2x0KgalwxpxklIuLA4SIssEthjfUvSJCmCxgNCaVIKSgxmB2cOCMfKNUoqSkGJtJc+owLCfCnf0OTpRNrwiOoS0py+lUNZ5ZPyeaVRurXPBYySMpv4/eZVSClpja9kKNPLnkKejmg7a8bu2LUTo1Ps592ZQTIB+Mb07iTTIYTEqTFAAOUTc1tTJ+cO7aa3OMDTqvricLogKAeEvvZBQytFVukM60WGbbqJZ2kmRokrGCArLC5t7Zy2f262SDNGXBzjUj1ISQgummZgY9K6a/X6KZtEpIMW/whHjCRurRsRaeJYCS4qZXhx7LzRRgEpFUlnfo5tIRWGleCS0gjbg8kaqptJEWjNkqYNRIt9kO6DgKqgsIkiSmuWTQnOpBmlmQGiukRGGOUJY8BoQL5JKBdXGawSHj1jfXe29mluqi8YrKCcdjpy/ZxVGuZV2cyV9BMA7fGVkOthbTHFPlH+TleQw1ORSe0jymmlPT/A23JDFHSARpLG5EWa2EMUhCCui7yZYTIqxuWJ6vL3+PdiuKxumj4bN/X3IqSJa7fwltIgzwVlKR9H+7yVIbLS4e1N1e9VliFaQYRBVkTajmtQ2lE2GBHs0W5Wl46SExYXtazHatDyUxgRospgtfDomfB4J1k0mk43RpM3QEwbdM+wn4YCwptvvpkPfvCDXH311VxyySUIIfjBD37A/fffz69//WtisRif+9znGvogISFTyRQz+NrHUPX9PN2x8kWtO12hHCKmy8XFFHmtOSdWDgCENGkSjdswmcrE1z5HM0dZnayd7RjMDY6XSw1pEOiAodwQy+Mz902dTszFaWbt2EnsnMj0/VZCKmynhTeV+lgb5MkIi99rWTt+oyqkQUt8FZdOiduEkETi61iHZH+mn9IJ3Elmg7ISdMSXc9noYY76afbK2jcOi51KD2GlZGwQgNasdZuIemmW+jmUEOUBoWQnCXP6PrvZIo0oCSlJUsCz2hu+kE7EcDtoL+VxzemDeGk1sSw3TDLwGBYWrXgUVXReDRuMyDJWFIa5wB/keVEuvzraZwMZPKuFVieKtiOsA0j3UQgkO+XxgDRJEZSJNeW3LY0oUQntxTQZlcQmQOsAu4EsdkXge60qEQRDdOg8JXcFZ5+gN3Iq0nBJ2Ene5o/QFgzQpAsYsU6WxtoplIa51E+zT8cx0CyhQGBMbh0RQhFvPocLmooUvDSH88M0F7O0FfvZpFM8QyuXMYhGc1bTqnm/ETGcVpbk+lnjp9gnmriMQUzts7Rp3aQ+9okoq4lNVnXQbLrtrDVcgtEeRKSDVqvx46Sm8LrWdJLBMxOsaDmbJfl++o90zbifhuoZHR0dPPzww1xxxRVs2bIFrTU/+9nPeOqpp7jyyiv50Y9+xKpV9feHhITUIuNl8AO/bh07e+xCZMnqk7IQAmnGiUpFwUzSNHaXKZQ1qz4vU5pordk/tH/a5wzkBsYDQiVUOYBMH234vRYrWutyn2Wd6dcOnecsnWKjTrNBp8uSH0aMaI0Sz0SU3UKr1Git2ZDsJFojq1MLIQRufC0bWs7inPjCZPAMdykrnQR/IAbnZ8hkrBdoNnIbC4UUcnyaXqNRaATgxFawoWUT55qCZp3Hia+iM7Iw2XGhLCzDwRGClTP0Dta1L2nQ3LSeVTOstVI27gxGEVrTShE5zzcV0nBJum28XeXGz1Fnk0Zpn5VjAzNCCOzYGjrdJG+XqUnSOxXJmarPp1xcadEpy71vFgFaa5qMxoJoaURYIfJs1uWs/GXJ+gX+J2K4S1guNWt1mozVxpubyqV8w21nvfRp1wWWUkBoTbM1/YSt4zSzPtnJxrZzOae5k81GwAf1YZbpPIHdwYo6hjIaRRhRmswIb5FZVuks63SGnNXWcD9yBWnG2NC6qaEsa9U+pgz8tFEe3HHN+JhmYTsrkhtm3EfDQmFLlizhtttuQ2vN0NAQvu/T0tIy7xF4yJlLtpjFkEbdd90ufrlnZpoTm7SaiMkjJJ3jB5uQJi6lhi2MKus6MHKg5vZSUCoLU48dlIY0EAh60j01n386ki2WM3wnGgpq0R6XMsQKnUMQIChX8LXW4FQPk0xFGBGaYytoLcGqBk/6QgjsBSzhCyFwE52sKe3kvd4xfqyX4c1SqNvSAW9ngHU6Q4DmGdrYRWxenFrmgkDgBeUAVWuNMRYQWsJEmS6r2zbTUkgTn2OgdiKU1Yzl+XRGGy//N0q5bBznwlKW/UERpQOsGQZKZovhLmVZfpBLCgM8wRLOIUXOiLNuwmesXOSXe6MsKx63RmuihFDVLQ1CCJQZZX0pw/8G5YBQoIk0mLkVyiUiNIekw9taGut1m7QfI0rSbqIUZHhHy+Rhjlajh4tLIwxTbr1ZX8fftvJ9rLObGUod5LVCgd9LrpjV2up5L8NpY73XjeUPkBMmb22ufwhkIZBGhKjwSVJkGGu80nLWxKn7E2jDzko5tlgsMjAwQBCUexCOHp2c/Vi+/MwpjYXMP5lipiFRYxcfCSSm6TlTZpz25s0smdhkLU2U0ETwSTdwGFQCvL5MX83tw/ny9F9JlzAxxwPIY+ljdb/HYmdcR3KayTZb+1zGEOvJUEJQcDp4U6KNiDTLgWQQgDyxFIwQAjOylFNVRVRIk2TTOs4e2s37ikf4KUtrNr7PxBJd4PfpK/d9WW1cYBSJ5gZZovM8RetJHVoRQuD5HlJINGMBoSj3zcJYw/4CB4NQlnU5JzJ9j9h8I60mVuRGWE8GTcBKZ/5bAoSyiEU6eEuph2wwhKuLuG71dVVaCZqVxeYxazRTB0TwJ0nOTHq+GaU9N4ylgzENQoFdx7E2EWUlcK0kG+12IkZjr52IEAIrsY63N03p0RMKy23nwlIPB/0iJSOK1aA0VEtTJ5fNemX1oexmWtVhjhXzuE3r5/RdzAfCiBATglY/zbBqppMsnhEjfoJKy0QaCggPHz7MF7/4RZ577rkZ7/537tzZyG5DQiaR8TIN2Z5VTmzODKUbNdWJQppYQEQXSDfgyymEwFQm/dn+mtsrLiVFv4hruuMXx8H87O2WFhsVWZ7ppHbOI8V6nSZrt3FhYinN1vEpXwHUHCddpEgzRkdyPZuH90AjQaHWXMAob2EYD0Uk3slbx/xLo1YvTqqHVr+Hx1hK5o32lR1DIPBKHo7pgAaJRiJq6tqdTiiziaSUnFcaQQpJs7UwmWbDWcKSXB8XFkbJCpu31HBfEUJiOs1sLh3j135AgnLJ0K2huABjfYRC06azWCJAIZCNDjBIk5bkehrrGpxmX9NkuQ27lbbMEQZLHoG58Jnf2SCkgRtdTlSmOW+BWk8aW4+NrSw6lc8gRRKUwDpxpWUiDZ1JvvzlL/PCCy9w9dVXs3LlyrBMHLIgZIvZhjTsXPzy8xsIIoU0caUiEuRhGtP66TClyWCudoA3mBvE84/3eUkhUUKdUMz6dCJVSOEH/rRe1E0U0dLmirZ1b/DKTg7KSrA8uQHqDAqVDngHg2zQaUZVjIta1tI2FjQLIXCiy1lnxnCG92EVe3mUZWRPQlBYkZ1xcCZkCE//gFAoC8eK01QaZlQ6C3YdFFIRiS6ntdRF0Wyd9n2U3UJr9ihriiME0kTrgOXTZIWE4RJVBqu8HIEwQCjEKfj3Esoi4rQQKx3FWYBhpPnCcJdwnntqWN+WnW5c1qocg34WdMCGaUTap6Ohs8iLL77Ixz/+8XCSOGRBSXvpBgPCAF/U33MI5YBQjolTH2hwfYY0xkvDU6m4lEzUtlNSMVqYH+/dxUDaS5dLidP0FiUoEdQpKXS6UA4KNyKG9+AUD7OdJK8TozTldx7RJa4as3dLWW1c3rKm5tSishKsaNmIMfQ62jvCoywjN8sexdkiEOM3P5WAcGzG+w1dx8lAWk3E8yOkjLnr7s6EsltZ2qToMKa/aRXKJWZGeUspz2taYAhBfBpZJCEUyoiw0fA4EAQEb/BvphGMyFKSfkBH5NTMEJ6KCCNCOyOso4hnRGmxG2tnaCggbGpqorl5dlM0ISH10qjVm42PbjBDIoRCCEWbavzu2FQmI4XaGb+B7EC5f3BCGcaQBilvekH3041KQOjWurPXmgQlVI2m99MdZcVZ3ryJYLSbNm+Ii4MhdpEgg0GUEjF8lpPH1j5EV3PlCaY3pRGlI7kJPfQ6QfEIP2Ep+RoX+OU6x+8xRA7FYRx6cBjAwiYgNva+oxgMisZ6oCo9hACBDlDoctH4JA+7vBGUp40V/QscUAkhcJyZr7lla7RW1ha6yftZitJBzSDZJY0oy0SaI5joUzgglMpmebLzZC9jUSGNCK4IaNIBusFyMTQYEH74wx/mwQcf5NprryWZXPhm4ZAzk8pQQr24BOhZTPoJadIsA6hd2ZyWifZ1Uy9+g7lBbGVPelwJdcYFhL72aw4GOQRYBJgNDA2dTkgzyurWcyh5KXpSvbQVU2T8IlJIfGFRUg7NkaV167pJM8rS5o3ood1Q7OF5Wugigh7T/7uYES5iBA+D5Qas90fI+QNoocpDylqjx0r722UzL5Kse+q+Yl1XQaHRp2D5cSEQyiLRej5vaky5bcFQdpIWdYjWUgHfnFm6RJpRoiJgqc4TyFO3HBvSONKIEJMKtMc6p3EJm4bOyjfccAPPPPMMV111FW9605toba1O5Qoh+OpXv9rwQkJCoCxf0WhAWPYxnoWYpzRJzFKc2vM90l6auD050zWYG5yUHYRyhjDjNfaZFjOVYLlW2T9Bacam9zMFw4qzujWODooEgY+cchPRCNKMsax5I/7wftqLffRrg1dIsIYcy3SOlJHgkpY1NJkuOiiSyg3SXchQFAaukCyxXGRplERmgJVBhidYwlAd2UIhBEW/iNaaQAcY6DHhmTMDcQpl14Q0cewksdIAqRoahBOpiHnbFE7pDGFI4whpYhgOWpRon4X+YkMB4Z133smTTz4JwG9+85vaCwoDwpA5UPALBDqYdiChFtP5GJ8IIU1iNJ65q9jXDeWGagaEUy30lFQNl8EXM2kvjaFq93QmKKK1z4oGpBBOZ4Q0UfOgYyfNGKvaNrO0MMTBVC8dpSHSQYDnLufdyRUTHFxMEtEONld9/a3E7GYio120FXvZrhNsJzGpBO1on7NJUUCxU8TLWU3tj4WB4ozKEJ6KKLuFpuwguRM4PAlpYBgubrFE7iRNqIcsHGZsDec5jZsuQIMB4T333MMFF1zArbfeytq1a8Mp45B5pxI41RsQVnyM5SxKN0KauLpxceqKfV1vprfKvm4gN1AVCBnSOOMCQnOaICdBCUNIYmeQr/MbhRACy2lhnd2MX8wyrH3aGvieDTvJ6tYY8dEuYvkhzvVH2EWCfUTYQIZNZFDapygUO4kjEGWXEq3Hh0oaNL8KmUekmaA1vhLHOPEggTSiuDJLIQzgTzukESE2yzi/oZelUik+9alPsX79+tm9W0jICch4GdDTixpPxRnzMTZnlSG0MGYhTl2xr9s3uI+3rnjr+ONFv0jKS1UFs4Y08HyPUlBqSHB7sZL20tPqSCYo4Uv7lJS6OF0QQmBYURpvKR8T9U2uJ+kXOJY6RHN+mPP8ETSQN1s4ywzIFnPgl9+n4khTsa4LM4QnDyEEdqSDeub3pRnF5Rgj4d8rZAINXZ0uuugidu3atVBrCQkhU8w0VDJ2Kj7Gs+m/UrMTpzaViRCC7uHuSY8P5YcAqgSZlVD4gU/aS5N0Tv9hrLSXnrYfLkHxjJOcWYxIZbM0uZ4O3+NIth9lxlnixClmeymMZbsFYjwY1LocEJ7uGoSnC8KIEpeC3qB4spcScgrRUED4d3/3d3zkIx8hEolw1VVX0dbWVrNsHFrXhcyWjJehpEt1B4TjPsbm7KaMHamI+LmGxKmVUAgEx3KT7egGc4MEOqCoi7gcH3IxpIGvfUbzo2dEQJjyUjMEhCWkmn+rr5CFQSiLZfHj53MhJFIHiLEJe015oEQKiUHALN1QQ95gpLKJNq3n7PDvFTKBhn4NH/zgBykWi/zHf/wH3/ve96Z9XmhdFzJbMsUMRb84bQ/aVJwT+BjPRNnPWNIiRUPi1NPZ1427lExxdTSkQaADhvJDrGZyz+HpSNpLV30HUPYwtgkwxNyHKEJOFuVuXTU2SFKZMC4HhBpxhk+PLyaU1UR4axYykYYCwo997GNnhOhoyMkjW8zi+d4kp4+ZcAiQghl9jKfjuDh1479pU5oMZifb1/WkesgVc8SsyadZJRWBDjiSPsKFXNjwey0mtNbTDtDExyRnIuEw2uJFCIQ4blM3MUOo0GgdXh9CQhYrDQWEn/nMZxZqHSEhQLlkPJ2ocS3KPsaqIR/jicxanFqZVfZ1ewf34hhOTR1CIQSHRw/Pao2LiUwxg0bXHApKUELrgGXWwtp9hSwc5ZIx5YCQ6oBQhgmDkJBFy4xX3Z6eHlpaWnAcZ/zf9RD2EIbMlooodb1exs4sfIwnIqRJ0yzEqQ1pkCpM1jDcO7QXu8bARCW47cv2zWqNi4nKdzJ1sAbKAyVKCGLT+KyGLAYkQoDSQTlDWBGllkZZdiYMCENCFi0zBoRXXnkl//zP/8w111wDwLvf/e66LrxhD2HIbMl4GYwGAjxnFj7GExHSJDoLcWpLWYwWRsft6zJeht50b83nViRYpmYUT0cqLiW1MoRNlAikNaPPasgpjpAoQFGq6iGs9BWGhIQsTmY8M3/qU5/irLPOmvTvsIcwZCHJFrMNafXN1se4gpAmEe03LE5tSGNcdzBhJ9g/vB+tNflSnsiUkqgQAiUUI4WRWa9zsZApZigFtafEE5TwQ8mZRY0QEkMIZFA8rkM41k9Y7isMZWdCQhYrM155P/3pT0/6dz09hJ7nzW1FIWc0mWIG1cCk4mx9jCsIaWEQzEqcumJfl7AT7B3cO6NDhyENRgujs17nYiHtpfF8r+b3kKCIaEDeJ+QURAgUAjWWFQRAg9IgABnmC0JCFi0N3c5deeWV/PKXv5x2+09+8hPe+c53znlRIWcuGS/TUNlptj7G40gTS4CrCw29zFQmfuDTmyqXifcO7UUKiWPWnnZWUlX1HJ6OjAeEUwZrLB3gEGCeAU4tpzcSKQTWWHk40AEBAcbYIStC67qQkEXLjGfnwcFB9u7dO/7vw4cPs2PHDhKJan/MIAj4xS9+EWYIQ+ZEtpite6BkLj7GFYQ0cYQi4ucbEqc2pYlGs3d4L7+36vfYO7gX15g+U2lIo6zPd5qTKqTwtV8VEMYpgta4MgwYFjWiHBDaIhgvGaOPX0jCv25IyOJlxoDQtm1uvvlm+vrK05FCCL7zne/wne98p+bztda8733vm/9VhpwxpIvpujOEc/ExriCkiZKSFqnpauB1Ffu6g8MHKZQKHBw9OOPzDWmMT1CfzqS98t9valCfoIQmYKkdlowXM0JIBAKLydZ15tghG5aMQ0IWLzMGhNFolG9961u8/vrraK354he/yJ/8yZ9w8cUXVz1XSklLSwuXXXbZgi025PQnW8yWsw51MCcf4zGEnJ049bh9XfYYB4YPEOgAz/dw5DQlY6GmFWwGGMmPMFoYZVXTqobWcaoxXR9lghIKQVMoObPIKQf6jpAIEYzrEBoAWiPDKeOQkEXLCRt6zjvvPM477zygrEP4nve8h02bNi34wkLOPLTW5Iq5ugPCufgYT0Qoi3ZRqmm3Nu1rxuzrBrID7B3ae8JSd6VkXJGpmcq92+9ly6Et3PvH9y7qSf60l645FJSgOCY5E9rWLWrGfpuOFOVMvi5rhhoCtAYznDIOCVm0NNThPXXqOCRkPqlkB4OgPtuQufgYT0QqlyVisKGAEMp9hAO5AfYM7iHQwYx2e0oqin4Rz/ewjWrpld5ULzv7djKYG6Q10troRzhlSHvpcd3FiSQoESjrJKwoZH4RIAS2YLyHUCAwKGcL7bBHNCRk0dLwyN/3v/99Hn30Ufr7+/H9avFZIQSPP/74vCwu5Myi0mPnU/27qsVcfIwnIgyHGCVc7ZNrwALPVCYj+RH2Du4lYkZmzOwZ0sDXPmkvXTMg7M/2k/JSvNr3Ku9cs3gn9dNeuub3kKAEMrSsW+yU/7YSS3C811eUrezQGjfMEIaELFoaCgi/8Y1v8I1vfIOmpiY6Ozsx51iqCwmZSLaYBU3dGcK5+hhXkMrFFZpkkCWn6u9xM2XZz7h7tPuEk9GVgDBVSFVlALXW9Of68bXPb7t/u/gDwil9ZIYu6zwqEZ4vTgvE2FCJEOMC5GosvW6FLQEhIYuWhgLChx56iEsvvZQ777wTywrLPyHzS9pL42ufgHpLxgG+UHPuuRPKJaIMlpGnlwYCwrGhtOPWAAAgAElEQVQMYckvUSgVptUghPJQSaAD+rJ9rG1eO2lbRbuv6Bd55dgrs/0YpwTpYrW0TpwSaI2t5ha4h5waCFHOEFZugsolY42E0JYwJGQR01B+f3BwkGuuuSYMBkMWhGwxSymof7ij7GM894yEkAqlbNYajQWWFbeSXClX07t3IoY00FpzNHO0alt/tr+cGdUB+4b3NbSGUwk/8GtOiUcoB/mtxql73pCDOewtB5Ej+ZO9lEWAHBemrvytyz7GYIdZ4JCQRUtDt3MbN25k//79C7WWkDOcjJfB8z2sOgOHufoYT0Qol2Ui1dBgialMikGRYlAkfgI5FUMaCCE4PHq4alt/tp9iUMQ1XY6lj5Er5nDN2dvxnSwqPaBTS/4uPlJDs3XqahA6vz2A83Q3+v9BaVMbhYuX421eAmaY1axCSExRQggx7lZiUPauk2GGMCRk0dJQhvAv//Iv+eEPf8gTTzyxUOsJOYNJe2lKQWlaP+CpOPgg5ucCJA2XJB6mrq9cDWN9gYGPrewTlq0rUiwD2YGqbf3ZfrLFLEknSa6UY+/g3qrnLAYqTixTs6Xl/kGBPUNJ/WRj9KbRiRimaMXeOUr8vm1EH9x+spd1SiLE8QwhlHtgFRUNwsUrmRQScqbT0NX07rvvJhKJcNNNN+E4Ds3NzVUXwnDKOGS29KZ7EUJg1Ol36xDU1LybDUK5OAJadJ6jor5p2Ergmi/la04OT6QiZN2f66/a1p/tpxSUaHaa6Rru4plDz7C5Y3PjH+Ikk/bSBDqoCghdfLQoC4CfkmiNOpaGllYMZylojT50EPlML/kr1+Mvr7bqPLMp9wwKIcqDJQTlkrEQEE4Zh4QsWhoKCAuFAmvWrGHNmjULtZ6QM5iu4S4ixszyLRXKPsbBnHyMJ+3PcIlKSVuQ5Wid8ii2YZOwE3VZ7QkhsA2bw6naJWNLWVjKwlQmL/a+2PD6TwXSXho/8McnTytE8AnmqbS/EMjRAiJfQldOh0Igli1H7TiG+/PdpP/8zSd3gacaQpYDwgkZwspQSZghDAlZvDQUEN57770LtY6QELpGuhrIDpazUMZ8CeEKA6Us1hpQ75yvFJJz2s+p+y0cw6FntKfq8UpAKIQgYkbYM7in7n2eSqS9NAW/UFXydwjQ85TJXQjUkTRaBxg5ebyJxjCQ7Utxnz9G7g/T+EtjJ3WNpxKiEhCO3bgFupwh1EIuapedkJAznVldTUulEi+99BL/8z//Q39/P+l0mpGRkfleW8gZxEh+hJHCSFV2aToqPsb2PJWohBBI5bJc1t9D2CiO4XAsewytJ0+u9Gf7x909ImaEg6MH8YP6xLlPJdJemqJfxJriSBLBBzFPE8ZeCQql+dnXGOpoGuEHGP6UoZelSzGGfZzHds/r+y16hMQgGJedqWQI9Txl60NCQk4ODR/BP/3pT7niiiu4/vrrufnmm9m9ezcvvPACl19+OXfeeedCrDHkDKBrpItAB+T9+mQ/5svHeCLCcGmliNQNetjViWM45Io5BnLHB0sqotQV+Y6IGSFTzNCTqs4knupUdCSNKZOmLj5ijsM/6kiKyI9fpfmffkPizhfmtK+qfR9No10XYU7pAzUMRPtSIs8eRfZl5vU9FzflDGEFTXmoJAwIQ0IWNw0dwU8++SQ333wza9eu5ZZbbhnPdKxcuZJNmzbxta99jUceeWRBFhpyetM13EXaS9c9YdxCEQnE51HKRCoXR/gktTdv+5yIYzh4vkfXcNf4YxVR6kpmNGJG8EoeL/W+tCBrWEgqLiUTXVuk1tgEsy7ti5E88X9/nqb/bwv284fBdLBe7kceqxbAni3qSBqdmOZ3tHQpatjH/cXiLOMvCEKgCMamio9PGeuwXBwSsqhp6Cz9zW9+k82bN3PPPffwR3/0R+OPr1+/ngceeICLL76Yu+++e94XGXL60zXSBZqqcmMthNacyyg5I0rEnL/eLmG4xISiJZi/YGMijuEQ6IDne54ff6wiSl30i+PPEULw9KGnF2QNC0naS2NOsS5zK72esyztO88extw7QNC5Cqt5E66xBmM4wHru4JzXC0CgUX0ZhD2NJI5pIls7cLccQQ5m5+c9FzlCSKTWqLGAMKCiQxhmCENCFjMNHcE7d+7k6quvRta42zcMg/e///2hcHXIrOga7iJi1jdhvJocMV0i4rTM6xqEtDCVwRq1MCVjU5ooqdjVv2v8sYoodUWqRQqJa7q81v/agqxhIUkVUhiiulyM1tizHCoxuobQyTiR0RaUcMsBWjxJ5Lk+mIfSvhzIIkoBBDOsb+lSjMES7n/tnPP7nR6UZ/vNsUO13EMYhCXjkJCFINBEHt2FtbV3wd+qoSPYNE1KpekbuoeHhzHnsacr5MxAa03XSNekUuNMbGaUolBcFO+Y13VUBktWLlBAKITAMRy6R7rHH6uIUk/UMYyYEQ4MH1iQNSwkaS9ddbMYGev1bJ3an1cPfoBxcBQdn6ID2NKCcTiFPDT3QTZ1NI0OfIzsDAGhZSE7VhB59hjG7modyTMOIRFCY471EVZ6CAlLxiEh8477s93YT3cTu38bxp5qY4P5pKGA8NJLL+Whhx6iUChUbTt27BgPPPAAb35zqNkV0hj92f6yH3Adk7WtusBSCuC0YS6ATZYwXJbgzUv2qRaO4dCbPn6nVxGlttXkgHAoP8RQbmhB1rBQpL10lS6ki48EErPo9VS9KfB8pJ4SrDU3o1Ia59lDc1htGeNoGhGAIWe2HmTpUlRGEXvoVfAXbhJ9MSBEuXvQEJS1CHXZyzjUIAwJmV+sl3pxfttFsKoNa8AgftdWZH9jrStitIDszyKHcsh0dew2kYYCwr/6q7+ir6+Pa6+9ljvuuAMhBL/85S+59dZbef/73086neazn/1sQ4sNCeka6cIPfAr+zD9WgPNI4WvN+fH2BVmLVC6uCEgwv9ImFWxl05ftGw9+B3ID4xqEFSJmhHwpv+jKxulide+li48hBKZqPENodI1A4GOmakz/JptxXuiHYG6BuzqSRscjiBPdXEiJXL0Wa08K+8kDkzcdS59Z/YVCogClfYQQaHTYQxgSMs+oQyNEf/wqQXsMN9OOXL8Jq6dI/HsvIHLFuvYhh3Ik//m3NH3tKZL/8iTxu2ceVmzoCF6/fj33338/S5Ys4d5770VrzX333cfdd9/N6tWrueuuuzjnnPqFekNCoNw/mPJSWMbMAyWu9llPBs9uJWHW5ybSKMJwiAhI+nMfLDlHp3iTHp70mGM45Et5+rJ9APRl+qp1+8wIGs0TXbU9w7ce2co3n/1mlZ7hyabiZTyRCD6+NBCzCBbM7mGIuCirxuBQSwvG0Qxq/+BsljqOOppGx+vMXiaTKCNB7Cd7ESN55GCW6A92kPy3Z0h8+9l510c8dREoBDLwEYjxkrEIewhDQuYFMZInfu82tG1gGSuR0gbHQa3agP16iugD2+o631jbjyKKJUSyBdnUgYi3zvj8hmtuZ511Fvfeey/Dw8N0d3fj+z4rVqxgyZIlje4qJAQoZwhNaZ5wwvgcUggdsDYyv8MkExHKwZEma2WJ7hM/fUY2kMby87xoJMcfq0jP7Bvax9LYUgZyA+Oi1BUMaWArm+1Ht9fc78/2/Iz/2f0/vG/j++hs7pzjKueHUlAiX8qP6ylWcAkIxCz6irXGODCMbk5ArZvhZBJ1QOA8e4jM+plPctNS9FEDWYJlTVCnDrhYvQbjtR0kvvsccrQAgSZY3o714kHcn79O7tpzZ7eWRYQQEkOA1EUSdoKIEcEgCF1KQkLmgtYYB0ewnz2Mtf0IBBq5euPkCkkigZFfjftcN+aBX1M8ux3v/A68s9vAqg7nrJePErQmiKhVAJilPDC9puoJb+mKxSIPPvggX/jCFyY9vmfPHr7whS9w/fXXc8UVV/AXf/EXdHfP9RIacibSNdw1aaiiFlJrziFFzoizJtK8YGsRQqKMCJ3G3LNvMfxy6XlCJq/yOZ87/Bxaa/qyfVVBFEDcjrOrf1dVFlBrzc7+nfRl+vjPnf855zXOFxmvfJKZ6jTj4qPrtCOciBzKI1MFhOHWfoJS5bLxS/2z7ulTfRl0ADJoIJBxHFTbcqwDaYIV7Rgdm4gUlmNEO4g+3o06PDqrtSwqhERSdivZ2LqR5Ynl5QxhWDIOCWkYkStibzlI4vYtxL/1HNZLPehl7cjlG7BTNc5/S5ZgLN2EEcRxtg4Qu2crTf/nqbKL0wTkUA7j8Cg01X+9nPEI9jyPj3zkI3zlK1/hJz/5yfiE8YEDB7jhhhvYt28f73znO/noRz/K/v37+dM//VP6+8MpvJD6CXTAwdGDVcMIU1lCAUf7NNlNNbcb+waxtxycl2EQYUTomKNjidSaCD4RKcanMWFMekYo9gzuqRKlnkjMitGf7edI+sikx/uyfQzmBsmVcvx0z09nvb75plIunjoYFMGHOsXGJ2J0DaODAJWe4XfR2orRl8N89eiJd+gHOE/sx9h/fFBHHc1A4GOkG7TVW74cc/WFRDPLMItjJ+yVKzFGIPqjl+fc13jKIyRSCCYqN5ZLxmGGMCSkXtSRFNH/fJXkbb8l8siryGyAXrcKK3kWkexS7Nz0bVEinsBs6cTqOA/bWo392ij2FG1W65Vj6CDATNffvz3jVfjuu+/mpZde4m/+5m949tlnMYzynf7tt99OoVDg6quv5rvf/S5/+7d/y8MPP4xSim9/+9t1v3lISG+ql2JQpBjM3CS7ghwazdmx2uVB57ddRP7zFZzH9sw5KJSGiztHx5Lo2FCKLUQ5KBqjIj1zcORglSj1RGJWjLyf55lDz0x6/NW+Vyn6RaJWlH1D++hNLbw2VT2kvTSBDsb1FAHQGhcfNQvbOqNrGJTCFDNM/yYSSN8mft+OGTW6RKpA/M4XcH+2m/h/vIA6Ug5e1ZEUAolhJaZ9be0dCjCmfCbDQK5Yg/PKMNaW07tSIpAIIbDE2N9aV4ZKTu66QmaPHMkT+e/XoHRmT9C/UciBLIk7nsV64TBBRytq5QYixoay3qqcRiS/FkIgWttQMk7k8e5J1RLr5aPoZAyT+s0bZgwIf/rTn/Le976XG264Adct3wl7nsevfvUrhBDccMMN489NJpN84AMf4Ne//nX9H2Yauru7uemmm7jkkkt417vexW233TYudXP48GE+9rGPcdFFF/GHf/iHPPHE5Mb7LVu2cM0113DhhRfyZ3/2Z3R1dU3afu+99/Kud72Liy++mC984Qtks2fQdOApSNdIF0W/iOfPHHytIk/RiOIatQ8WNZxHeZLYf++Zc1AojSgJoWgPUrPeR5wSWgdEpcQKJk9P24ZNT7qnSpR6Iq7hooTil/t+OenxnX07yZVyLIstI1PM8JPXfzLrNc4naS9NyS9NKnGbY9On9epLTsTsGka3NiFmErSWEnHuuZgpi/g923D/+7Wq8rHRPUzTN36HcXAEvWYVdo9fntJLexhH0+hkdP7081paUMSIPbIbMXriiflFy5jsjD32d5WUY0EZ9hAuWsxXj2H/Zj/G68dO9lJOf7Qm+uiu8o1UxyaiuWVY+ficzkNi2TLM7jTmK+VqiRzJY3SPQHNj/fYznqm7urp4y1veMumxrVu3ksvlaG9vr5ooXr16NceOze0H5XkeN910E5Zl8eCDD/Kv//qvPP7443z9619Ha80nP/lJkskkDz30EH/8x3/MZz/7WQ4eLKdKe3t7+cQnPsG1117Lww8/TFtbG5/85CcJgvJF4rHHHuPf/u3f+PKXv8w999zDjh07uO222+a03pC50T3STdpL407XKwY42qcVD8OYJlukNXIoh79uKWbQXA4KH9877f7UwZFyeXk6pIlhWKyfg8xhDB+hNQllEg3yk7Y5hsNAboAj6SPkirma/ZNCCOJ2nB3Hdkx6fGf/TmJmDNd0iZgRHnnt1PAOT3kpCn5h0qR4xbbObDAgFLki6lganDomyU0T1Xk2ZilJ9Gf7iH/3OaIPvUL0wR3E7t1K/N+fBw1yzSYimVbkmo3Ye7PE734R1ZtGR+dxWl0IxNq1mL0FnP/dN3/7PdUYu3A5Y9cvNdYSEU4ZL17kaAFRAvuFIyd+8gKiDo2cPjqfXglrx5GqFhJzZx/GawMEa1ccbzmZK8kkqmgReWwfaI35crlcbGQaa4eZ8QgOggClJt+hP/NMuYT1tre9rer5qVRqPJM4W7Zv3053dze33nor69ev59JLL+Vzn/scjz76KFu2bGH//v38wz/8Axs2bODGG2/k4osv5qGHHgLghz/8IWeffTYf//jH2bBhA1/96lfp7e1ly5YtQLkE/uEPf5grr7yS888/n6985Sv8+Mc/JpOZfuomZGHpGu7CUQ7GDDpwK8mhdUCHVfu3JfIlhOcDCrG2E9NPEnt0N9bvagd9kZ/tJvLI9ALDQgikEWG1qnP0tAYxShhSYEpFcspR5hgOhVKBV/peoRgUJ4lST9qHFePQ6CFShXKmMlvMcmD4wPg0Z4vbwq7+XQzm5ia9Mh+kvTSloIQ5oV/QxUfrgEiDAuJG9wg60KhCna+TErlmHWZkJfbuNPaOfuzXhjC7MuiOVsxoJ/boWGY5FkMt7cTZNogYzSNkg/2DJ8JxUJEkkS29p8+FrYryD9oe+x1WAsIwHFy8yJSH0AJnx2DN361IFxb89yz7MjTd8Sz2M10nfnKgcR/fizy2AL7zfoDsy2DsHcTa2ov9u4OIbH26fxOJ/GIv0fu3Eb1/KxTHriWeT/TR19BJl8hg7X74WSEEYulSrN0jqP1DWC8fhaYYlj6B4P4UZjyGV69ezc6dk/07H3/8cYQQXHHFFVXPf/LJJ1m9enVDC5jKunXr+O53v0s0elwbTAjB6Ogo27Zt49xzzyUWO14Tf/Ob38zWrVsB2LZtG5dccsn4Ntd1Oe+883jppZfwfZ8dO3ZM2n7RRRfh+37VZwx54+ga6Tqh/uAK8mihWB2p3T8oh3JoDbJE+cDoXIeZtok+fqCqdCxGC5gHhpCpArJvhvF7I0KLLmLVGPiohxglfFEWnG6eclNVkZ55oecFbGVPK9cRs2Jki9lx+ZnX+l8j0AH5Ujnj2Ow0k/bSPLb3sVmtcT5Je2n8wEdNKPGWA0I9vW2d1qhDIzj/uw/7+cPjFxyjaxgRaCyvMXcTsaQDa8X5OIlzcGJn47obiRRWYJamvH9LC0ZsGWrUR/qz81iekbY21NHcaWtzJ4QAIccDQqMSEIYV40WLHM2XHWf6c6iuydqpIlsk+a9P4fxqYbPe5usDaN/HebbnhM91ftuF88u92L/dP7s3m6alSIwWaPr60yS//jTxO58j+v1tRB96hcQ3tyAH6m8vExkP+9nDCCdC5OnecTFp99f7EcM5RMsKxCzUF2akrQ2VFkQffQ2zexjd2rg824wB4dVXX80jjzzC448/Ti6X46677mL37t20trby7ne/e9Jz/+u//ounnnqKK6+8suFFTKSlpWVS9jEIAu677z7e9ra30dfXV6V32NraypEj5TT3dNuPHj3K6OgohUJh0nbDMEgmk+Ovn47bb7+ds846a9J/11133Zw+Z0h5mOJw6vDMT9KaleTwjaaqbHUFOZwH7aPyY9uFQLQvweyq9ru1tx9B+wHGiEYdnt4aThgRIkLTqmfXYxqjhK8shDBIisknH8dwEEJwJHMEU00/gRsbE2SuTBPv7N/JaGEUY+xE4hgOtmHz8KsPz2qN80nFx3hiv2AEHwXEzclNzXIwS/SHL5P86m9IfPNZ3J++Tuz7O2j6P09hvdSLcWAI3RJHnOBGYU4sX47ZcRZWcR7v0is0NaEKEuepGdoSFjtCYI0FgAZBuW3jNJsqEdnipKn00xmZ8giWNqNyYL84+ZxsbzkI+WL5pm0BMfcMIEsCa296RicOdSSF+/geVC7A3t14htDoGib5T09gP9U9KTAUuSLxu15CjuTRK5ZhNK3Ejm/EiWzA3psjcfsWjAP1/R6cpw9CoYhoW4nZ3Inz0gCJO36H89sDBKvacUcbt/I8IUohO5ZivzZSvsY1WC6GEwSEH/3oR7ngggv49Kc/zZve9CZuu+02TNPkn/7pn7Cs8pv94he/4CMf+Qi33HILnZ2dfPSjH53VZ5mOW2+9lZ07d/LXf/3X5HI5THPyBdSyLIrF8o8nl8uNr2vids/zyOfz4/+utX0mPvOZz/Daa69N+u/hh0/+RXix05ftI9ABhdL0DfiteDjaxzGnb0WQw3mED0pMOMhaWlCpAGfKxKe14yjEI0hPYfTMkCFUEaJKsVzn6v9AE4jhI4QF0iQuJweEhjQwpEGhVKgSpZ60BiGJWlFe6i3bDe3s24lruuNBpBCCZqeZ7ce213QJeSM5ljlW1Qfq4iOlRE0Jeu0th7Bf6oFEAlavwmo5C8tdi9XrE79vG8b+IXS8sVJHwwiBiMYQM3z/s0ZKRGsbzvaBui2mFhsCSeVMqtBodMO9oqc6zhP7if/7c7P6G4pccVH97cVoARwbkWjC2TZ4PFAqBThbDiILAqs7N6vSaV2UAsx9Q+h4DDnqYeyaZhbBD4j+6BUwJEokMA+nGitla03kJ68hUx6xH71K5D/HWoeKPrH7tqGOjMK69bj5JZhmO9KNl8WgV52N3RuQ+PbzWNtO0GdZKGFv6SZY3opdiEJrK+aSDdivp8EPsEqzFNKvhyVLUKM+2jWxgsbPoTMewZZlcdddd/Ev//IvXH/99dx44438+Mc/5vLLLx9/zssvv8yLL77Itddey/3334/jNDAyPQNaa/7xH/+RBx54gK997Wts3LgR27bHg78KnueNv6dt21XBXWW7bdvj/57u9SFvLKOFUQIdzDhhvJI8ELBpBjFqNZQHqRDmhGDfMBDNrbjP949LKcjBbHnatL0NYduYvflp9ghCKpRyWWc0nvUQWhOlhFIGQhrEathgOIZDwS/UFKWeSMyKsXdoL4VSgV0Du7Cm9Lw1u82M5kf5TddvGl7nfNKb6h3PXFaIEOALs6okbhxNoxNRIt4K3GwLyowimlswl5+DZa9GiQiqAamEU5K2NtRgAXPrDFkVP8DYM7BwF9mFREjsCUMlGrDV6RUQGgdHEFkPeWj4xE+eQuz7O4jds3UBVrUAFH1krghCQXMzRm8a2VPuW7a29SJSBViyBJkqLtgUstE9DJ4Pba3IwMR+sba2qPurfaieUfTK1Si3GZn2kEfqvxm2XuxFHRoh2LQWizYiv+om/u/PEfvByxj7BtGbOnEHa2TvHAe17lzMYYP4fdtnPGadZw8hsh6GNaFk29SEsfpcrFgnZnEB4w3TRK5Zj2ktm9XLT1jEVkpxzTXXcM0119TcftNNN/G5z30OKefvZBAEAV/60pd49NFH+frXv85VV10FQEdHB7t27Zr03P7+ftrb28e39/X1VW3fuHEjyWQS27bp7+9n06ZNAJRKJYaHh0PbvZNEqpCqqcE3kZXk8FSEuD19il0O59Axp3psv7UV49BuzJ1HKZ6/DGv7UfB9zJQFrovRO3M5WBoRVojB8pRYA5IAEXwkYAoDISfrEFaoDJbUEqWeSNyK05/p5/F9j5Mv5vECb5LFX9SMoqTi4Vcf5n0b31f3GucTrTVHMkeqxMVdfIIafTLqSBoiCZhqxTmmqWXRBrNLzJ46RCJI5eI+3Yt32dpJm2RfBvuFHuwXexCpAqU1TaRuvHRxNeEJiTmmQ2igy5kXFiDberIINEZPCuUpzH2D+Bvb636pSBcw9w5A3itnn07xQFmmyjfkIhBjlpAB1tbD5JfHcZ/sRiciWGoJBL3YL/dTvGjFjPuzdhzBb3LxV9ffjmHuHoAgwM7GEMkkzs4h0lO+O3VwBOfX5ZJrZCgGUQ+ZCzD29eGtqENL1CsReWwPuiWGOxhHrEpiDUQR27ooJQTBplVEB2ZYs2GgOlbBvldR+wconbe0+jmlAOfJbnR7Ejsz5abWcVC8AcmnlhZmYRYKzMNgmOu68xoMAtx22208+uij3H777bznPe8Zf/zCCy9k165dk7QDX3jhBS666KLx7S+++OL4tlwux6uvvspFF12ElJLzzz+fF154YXz71q1bUUpVyeeEvDGMFkYplArTDpWYOmAJBaQ5c+pbDufBrXGgNTUhiwbO0+UsjbX9CEFbEpN4+eDsS8/oKiEMlzilmhm+mYhS1uOLKokQBo72q1xPbGXj+d4JA+KYFaMYFPm/W/8vuVIO35+8FiEErulyYPhAQ2ucT4bzw+RL+So9RRcfpohSi2wRmSrAQvYHngoIgWhrx9o9PD68JFIFYvdtI/n1p3Ge2IeOxZCxVpyX+rGfnGVz/ElCIMcvOpUpYzuniX/nOVTP4rfvU30ZKPiIQoDV1ZgKhfVqH9oPUCN+Q9mrk4VMFdBaIz0NpomIJXC3DmLsGSyvv60doQxEIoH12szZUnV4lNiDO0h863fl9pw6MfcMotuaEMqC5mbUQA41sX/TD4g9/AraMXC81rJNom0jlIW1v77v2H2iq6ws0LT0uL5payvm8rMxEsuJDNUxhBGNIosK6/WBmpvtl3rL7xFdwLLwAnLK3bps3bqVu+++m89+9rNs3ryZvr6+8f8uvfRSli9fzuc//3l2797Nd7/7XbZt28aHPvQhAK677jq2bdvGt771Lfbs2cOXvvQlli9fzmWXXQbA9ddfz/e+9z0ee+wxduzYwd///d9z3XXXTZpoDnnjSHkpSkFpUsZrIsvJI3RAywz9gzAWEFo19iEEoq0N5+UBjH2DGEfSkBi7A3RdRLaEHJo+FSWNCFEJrX5jAtVxfNA+HWYUpIlC40wJKl3TJV/KnzBDaCoT13TZP7yfQAc4ZnXgaymLofzJa37vTfeitcYLJpf+XXyYkiFUR9Pli09hEWXDZktrK2q0hPW7bqxtR2j6t2cwd/Xhr1uJ2b6JaHEVtr0SgyZi/7VnYSQ0FnhIJJsAACAASURBVAohMBmbCkcjAXvIw9g/SPyuFxH5qenfxYU6NAqBj9QWRndjx7/18lGEVBhpMA6c+pPmcjQPQYBRGDuHNjdjdo8Q+enraFvhDo9luhIJjCMZ5OA0lRWtifz3a2hTYY0YxO/aOrPe6xgiW8ToGYV4Yvx9ZF5gbz0+bew8cxB5NA3LVqD8sXOgEBCNYnad+LiRI/nyQMfKNtzUlMxdJILpdNTnxa0UIhrF2lvjN6E1zm8OoJNRnIUYGnkDOOUCwp///OcAfO1rX+Md73jHpP+01txxxx0MDg7ygQ98gEceeYRvfOMbrFy5EoCVK1dy++2388gjj3DdddfR39/PHXfcMZ7BvPrqq/nEJz7BV77yFf78z/+czZs38/nPf/6kfdYznVQhRaCDaQcrVpIDBBuibdPvxPORGa8qEzVOWxtqyCP64Ha0H2BVzMJdF5n3kYenv+MVysGRJmtVYxe3KCWUkESsKEIaGELj6smZwKSTZG3T2vFJ4pmIWTGyXpaIGakpUWMpa7wf82TQm+olW5xykajY1k3xMVZHy43VZv4M6Nu1LGQsSfRXB4k+uANcC7lqI9GRVgw9dsEQAtHZidnnE3tg++LRLhRy3KO77GMMlgdojbU7ReThl+fFV/xkYRweRUiFbG7H6MvW3ecpskWMfUMEq5cilIV5oDpYUd0jJG/7DXL41OiLEKMeItAIc0ykvbkZOVrCODwCK5YhKsdwIoFMlzB21h6qsF4+hrF/mGD1ClTnuZi5CLEfvILz893Ivkx5cKVQqvpdmHsHyiLKubFzuFKIeAJnxxBojRgt4D6+l2BpM+7QlPNlNIrRkyr3H86A+/Pd5fOOnofMXSyGeWDkuLbgGMbBEWR/FtHcNrPD0inMPAvhzJ1bbrmFW265Zdrta9as4b777pt2++WXXz5p6GUqN954IzfeeOOc1hgyP4wWRjGUMa0OXysevhmbUbRajpQHQ8R05wPXRVoxjP4C/spmDD120nMchC8xD6coXVD7pUJIlBGhs5TniQau0zFKaGmglEmgTRwhMf0cyOOZTikkrXWWFeJWnJ5UD1rrmt+VKU0832M4P0yL27j21Fw5kj5CoVQg6SbHH7MJkFAV7KujaYRpIK15dAg5lenoQB3dR2nzGiIDTYh0jd+yaSJXduK8sg/vf/eSv2pj9XP8APuFHrRr4m1eMn92e7NGjusPGmiEAFksD1SpaDuRp3opbmzDu3TlSV7n7DAOjRC0JCAdQxwroQ4OUTrrxL3m5s4+8H2MvA2RCFZ3hqkFZ+vlo8jBLNbzB8lftWlhPkADyFQBhEIYY4GfbSOdGHh57JHIcY9qx0EaDvYrQ/z/7L13kCX1ee/9+YVOJ0wOO5sTICEUACEEErq8unWVscLFsXDJLsuFSja3ypZKwlKVjEuS9Vq+ZV4LcY10zWv5KkuWMBaGFyQhAQqkZWEXlk1snJ2wk09O3b/3jz6Tz5nZyTu7/amiiu3u06fPnNPdTz/h+y29ZcZOyj7eQ4dDweWhZCgWv/NSrBPHSDz4Cv4vjk9cu/wml/SfvpGgObweWoeHQCqsSnIyRdXUhO49jRzI4j16HMo+WrcjKjMCrXgcOVxB9aTwt9cePLT39GDv7SPYtRFvbBmcQZJJZHcf6sz097QODIAJsEfc8zCyOjfOuwxhxMVDupSe5mwxkyQVlKwjalxFjhYwJkDl57hBtrWhsj4iMaVhWGuEbaN7535KF1aMTsp0mfoTybWO269OAwuh0VLO0iJcCI1uI5ay6mYAbWVT9suczayND2lPugdHO7M0CAGsGdp0qi+DaVyab+e6oqkJfemVxEda5xaibWlBWU0kHjgWymJMaWXQx0do/PKTxO47QOJf99Jw15NYBwfWNAMnxGRAGGYIBbIUgBGITZvR5RiJHxxA9S3eD3zN8ANUbxoRj4fDQSXQr9TuGZuJ/WI/eA5WOQGxGLqGLIp1bBhZErjPnR/lZJkqYmLO9HNy+3Z081aUmBJACQENDTiHR2f1Xru/OoUcySNauyZ/50Igt+/EatyJSnQiGtoRzR3YJ3Ik7w2FmjEm7B/sbJmeVatmKWM/fhlnXx/Bjo04hRoPkfE4smDQx2r/LdWpMeL/foCgswFvtKnmNgsmkUDmDdaMiWv75QFMezNqDhvW850oIIxYM9LFdN1ysTIBLsEsKZNZ243kQ/kOM0fGqa0N0dSFnZ7R13EOk8baaaNR2/wW/VxuUud0E07gw7g8jNRIBM1LqCDYyuby9svrZkptZeMbn1dG6vs3ryR9mb5ZfaDjtnVJPeWYjUH3Z2CJ9pbrjnMMfsW27WiTJPbTkzT93eMkvrMvdEn4388ismXYtRPH3oJzPE/yn/eQvOcZ1Kmx+Xe8EggZClIzniEUiIIPhrDkt2s39mAQSq+Uzt9+QuvlgVlBq+rLQMUgfBU+OLoezsn5y7uiUME6OoRpbw2Dm3gcmZ0uiyJyZXRvGoTGOjY2Zw/zaiFTBfBmPHgnEuh4jYxoQwNypICcMjgkUkW8Xxwn6GrBHZ1xjRUC0diE7XbhWBtxZBdW+y6cgykS39iL6s8ixwqImRUD20Z6CZyXhgliNu5Ynelf20bYDvbx2YM/IlUk+a0XMK6FLTYixWJnb2dgWeFv4sjk70YO5VADWUT8HKadz2OigDBizUgVU/Vt26oZJnueCXY5WkAgEXV8jgFQCtWxCcWMwRPXRfdn5wzyhLJpaX4VO2PN/Fcxwg1mCDVXr964BuFEhlCC1DStoKSIrUKLvENDh1bsPeaiN9M7LTsI1YESY2jVk72CIlUMhw3myApf1GiN3Lobu/NydNCM+/RZnGe68Xd04Xi78MYaEK3tWBsvx1EbcQ+laLzrSeI/OoDIzi2uv+wIMTFdrKpDJaLoIxAgZVgG37ob51Ca2I8Pzr2vhb51uoj782NL77cs+yS+s4/Yv+2ftlifCQdKrEz1ehGPo0/NPzltHRyASoCqVH/zsRgiH6BPTmav9PERTBBAWzsqVZlbp3KVkOkSWOd4TjY2ojI+1oGwj1CO5El+64WwpCvbzm0wo6EB3b4dd88gia8/hxmXAptJczMyHyC6Ns++dk8lHseaOfhT9kl+83lEroTq2D7bvnKpJJNYx8cm7h32ywPVz7FOa8VVooAwYs1Il9JzBIQVAhPQrOe+UMnRAiZeQ4PwXPC8UHg2Vd8pBUKR6sbGXexu2MS1Ksd1Qf3ykUOAhUFPyXwKoWlcwQqplhqBoCc9vwfocpMtZUmX0rPK2TECpICYPZkx0H0ZjAnQi3MDvHiwbXTnduyu1+A0X0481TH9higlomMD1sbXYPvNeD8/ReP//CX2ntX7/gUyfDAyJhSmFhJZ9DGWnjwXGxrQyU5iPz+N9eK5S5DMh/f4SWL/32HsvUv7vNaxESj7OAeGpknl6NNjYFmoccvFeBw1lENk5r5O2C+dBVtjF6qvc12ktLCmZK+sV4bDgRyrDenE8fYM1Nnb6iFTRZjnOjuBZSFiCdwDY1gHztLwlSdRPWnM7p04xQX0Bbe1oWOdWKezkPDQssZw3YYNyLZtuCPzTOzG46i+6XZ38f84iDo9htm1Aye1AhWJRAI5WpiQlLIODmAa42gZZQgjIhZFupSmnlFHkgoSQ5sz9wkmR/O1NQjPBddF5n1k7/xOBEII3PhGtsXbuMKqP9GWIJyic6dkNoXUJOtOvSwdIQS2sunPLN9N91zpzfSCgVJltuSMEAo5peSvzmYQvkH769yFZLVQCmHNkdlQCrlpO3bHq7CHJMlv7cc6tEp9aUIiRZgd1BgMElH0wZrRG7FpE1bOJvHdFxFj596HWxc/wN7bgywIYo8cX1IfpXUkfLDTowLniRMTy9WZNKa5YTKwjcUQuQrq1BzSTqUK1qFBzIYpE6ZCVAdLJkvG1ivDmPZmhNKhgPDR0YnBuDWhVEEUK7AQUfGGBuwjwyS/+QLGdZCbLiE2vHCbNLFpM5bVhqjnQqUUqukcso7xODJfQZ0Or+P2/j7sZ3sIdm0MB1xWgmQSmfXRR84i8mX08VFoWf2BvuUmCggj1oRipUjJL9UdlBiXbnHmadBVIwVwFily7HmIiggzAueIUA5NooKocyNK4BOYgA5n8riFtGq6lSwntrIZyK1+tqE33UvRLxIw/Xv08GfZ1qm+DMZz5w5yIhZOLIbe8iqsEUXiO/tXxwpPSIQJ+wd1NUMoyj7oGYGFlIidu7G7iyS+s29OIfhzwXp5ICyPNzZiH0+jX178b946PIjpaEE2txF7+mzYzlDyw0n4qX2u8TiyLLFeqR8QWoeHQgu48ozf9rgsih8g0sVQ8NqrZryam1HptS0bT7qULOBFTU3IbAV/eycuW3Cyi3wgFwKxZRsuNRw/FkI8jiyGgz9yNE/8vpcxrXG80fp2p0vGcZDKwTmcCr/7IEAX138rTBQQRqwJ6VLY81EvIEzg4wu7bkkZCC+yqeLie9IsC6EtdN/cpaCpSOXgGBNmAmuQoIIS0DTVXUXqiZ66lcJSFsP54RXbP8AzZ55hIDv9Btyb6SVbyuLNCNxr2dapqodxxAogJXLHLuyTeWL3vbSw15b9BQ9+CCSiGgyGXsYCUaxgdI0eKs9DbdiGu3eQ2A9fRA4tvmfA2dMDroWV3IoqKGKPLG6QSg7nUIM58BLQ0YEaKGA91x0OfARmuryJUgjPm9OxxD44CEriFGdUNOLx0G+3P4N1bCRsmchW9+15SDuOt2ftpo1lqhiqNCxEKL6hAXX51cTTG+ZVgVgVxgd/jmeJ/+AlKPuoxOblGyKphRChHuGxVCg1ZCms0gplI1eRKCCMWBNSxRTGGCpB7RtRkgpBHQeTcWSqiDAm9OBcLJ6H7jn3G5SQDq6AuF/7NQkqCKGRavJiJISFZQLsevXxZcBWNqOFUcwKBZ2VoMIXnvgCX332q9OW96Z7sZU9awI6hj89UA8M6mwW4VwEgtRrRTyOau7C+3Uv1r7a4sGzKFZo/F9P03TnbxY28SpEWDI2AYogzBgWfFB1So9tbWinndgTZ2j80hMkv/7cgqVzRKqIfXiQYGMnQmpE10acg6OoEwt36bEOD2ECHyujw6BNxYg/1h06lPg+Vm7G73R8sKTW8RoTZhs7W2cLEo8PlpwYDPsHpcIKpgQOzc1YR0fCB9s1QKaK4blZXmCVpd73vFbE41gvD6KPDWN2bl181nIhJJPo/mw4UNK5fsWopxIFhBFrQrqYxg/8OTKElUnpljqEGoQGWVxCEOR56L65J42nIpSDqxRt1C7LJaoahFMzm0JqNAbXrJz8hq1sipUimdLK2J/1Z/rxjc8PX/7htCC+luQMjNvWTQaEciiHqARg1v9F87ymqwur4JD4/kuoU2PYe3uJ3f8yyX9+dvZghzEkvv8isj+N7s6S/NoziPQ5BiZCogBFZaKHkFIFVJ1bihCIbduwu67AphVn/yjJf96D88uT5/zRnOd6MFNdbtraUBlD7Kd1soSlCurUGNZLZ2eVqq3DQxD3Ql9zIRAdHVjHUzhPnQbPQVkzMtnxOGqkUDNwUz1pRLqEqNXeMj5YciIbBivtzdMDh5YW1FgZ64W1KRvLdBERgNDr/EEtHkcWfYLNrXiDq5SpSySQ2TIUy0ixzv9+VaKAMGJNSJfSFP0iqsZTlTSGGP68GoRytOrBWVrCyei6yEzx3GU7hEIKzUZdOyuZxMfMKGELaWELgRusXBbAVjbloMxgbnr56bne5/jLh/+SQmVpjes96R4qfoWz2bMcOHtgcnmmZ9b3JI0JNSSnTFqr/kxoT5WNLjkripSIHbuwu4s03v0k8e/tw3nqDNbJLA3/8jzuY5ODGN5Pj2EdOEtwyVbstktxj+Zo+N/PzN2DWPbD9UKihEAGlVB+RghEyQ8lZ+bCtlEdW7E3XI6TjpO4/3B9b9ypGIPz7BlMRxN2qTqUpBSyowv3uUHk2QwiU8Le20v8e/tp/Idf0fI3P6fhn54m8X+ew/n1icl9VQKsY8OY1pbJwZHWVmTGoPvSmKYaAUUshsxVUKdnt2VYhwch8LHTNa5D1cES5+Uh1HAe3BmTuJ6HtMLsZOhysnzWhXKsgPOb03P2bYYtN1NcStYrLS2IhhacSvvqZepiMUSgEOUKTubCaIWJrs4Ra0KqmKLkl2pml2L4CMCqI1o9jhzJIwKQzhKmVj0PUaggz9FRQQiBUA4dst5QSQUxM7MpNY6UxMzKacXZyqYSVDg5Oj3j8lT3Uzx15il+c/o3S9p/T7qHTDlDxVT4wYEfAFDySwznh2dled3qAM3UYF/3ZxCBQYv132dz3uN5qG2XIps3YjXvwG1+DW7DZViFOIn7DhH70QHsF/rwfn6MYGsbscFGSCRQG3fjHEyT/OdnwgGLGcixAo1feSrMJCJRCJTxqwFhdcr4XG/GUiK2hx7O8R/M73usT4wih/LQNGNQoKMDlfJp+Kenaf7iY8S/vw/7xbMI4RJs3IjYsBlnxCXxH0cnpnn1iREoVpDBlPNUKWRbBzIPODUyfbEYwpfYR2eXp+1DQ5jWBpSqI7sSj6OGCuEDUS2duk2bsPqKJO/dQ9P//Tix/zyEvbcX68BZ9CvDi3Z78R45SvzfD+A9cLDu31emipj4DJeS9Yhto7p2oiurmKmTEtHUjPCSiHnam9YLUUAYsSaki2l842Op2U+mSSqhy8U8fSpqtACuPX9WYi48D1kSqO5z70OSyqFVzL5hahOEOoQzMmZCWEghaaoTRC4H4+LUBwYOTFt+fPQ4mWKGb+3/1pL235PuQSBodBp57ORjQFguxoSB4VRi1QGaqZdI1Z/BJGLrPxOxXmhowLY60bopzJhIidxxCZZoJ/boKeLf3UfQEsfNdUxmVBoa0B07cV8co+Eff40+Oqm3Kc9maLjnGVRfGt2dmsgQ2gRVCztRlS9ZQGBh28jOzbh7B7Gfm1tT0NnTAwqcoRk3fMtCbtiMqjgEWzahOnbgNlxOLNhCrNCOW2lFbt+F1V8m9sNw2MY6PIQwBic7I6vT0YFKG1RQY1BCKYQXw3l5dFpwJXJl9OlRaKjjpAFhdrHgg6WxRQ0ZrZYW9LbX4jjb0Fmb2M9Okfj2CyS/vofk156m4f/5FfrQAqepi5UwMDYW8Z+cwPlV7dK8TBfBOQ8GQ9Yru3fjNL9qrY9i2VjfstoR65Z0KY0UcpbDBYxr+QV0zpP5k6N5TGyJT4SWhVAa+2SOc83fCeWQMGWUCfCnHP+4BqE18zMJiRCSlnr9VcvAuDh1d6p7YpkxhuOjxylUCjzZ/STFShFHL+7i35PuwdUuTW4Tp8dOcyZ1ht50L+WgjB9Ml9Tx8AkwNE1xP1D92XDCeGXVdyLmQgjE5i1YAw7GGkO6m1HFGZmN5ma0vhTTfRJ1z7MU3rKF0hWdJL67Pxw+IIlIjwEi1L+sThoLI8Ie0YUEhAAdHeihIRI/OsjIZe2YxOxMiyhUsPf3E2zpRGVqnO9dXTgA40PAM08zx0G2b8J7tofim/rDwZSOZoSZ8V6eh7riqvoTt52dWMdPol8eoHJ5aOtmHRkKM3/5OR504nFEzidojoOps28pES2t2LSC70O5jKmUMEEZjh+n8tgJ0pe113+PGdgvnoVSBbN1J/aLfSR+eBDT6FF6bef0t00VwfLq6sFGXFxEGcKINSFVTGHVkYuJU0ELScyeLyAsYJb6dCsENDfj7u1D9Z5j2Vg6WBiSZnqvVQKfgIAWe0YPoRAIqWlawbKMFBJLWfRlJ6dL+zJ9FCoFGt1GhvPD/KZ78WXjnnTYK9jkNpGr5HjgyAMTkjOuNf0m7REgTEDLuEtJ2UcO5sC6MBqv1zuivQOn8RKsYp3vI5nE2no5tt9M7NFTJO99FpREde7C8uPgB8higERgi1B2Rk0E+gv8jQuB2LED60yB2L/Xlsux9/eHAyJiCX1anZ3ovE3iey+F0+71PGfnOkfb2lAFi/gDhyeyhNbhQdAaqzJHK4TrIpvbUP45Hr9S4LqIRAOyoRXZ0om7b7jmwI8cytXsf3ae68HEXZx8HLFrN1bGIfGNF9Anp4jwGxNmCGtJBUVclEQBYcSakC6m6w6NJPHxpTW3Qr0xoY/xcpQgt25FjwQkvrP/nJq6hXKISUlihvRMI2WkgXanRvlIaJJyZdNjlrQ4mz078e/jo8ep+BU87SGE4Jv7vrmo/Zb8EgO5AYwxONohZsV48PCD9KZ7JwLRqXj4KCHxdNhTpYZyEBhkZZ33KV1MSIncvB277VK024rVsD2U8tAaUTGIUnieuEKGWoTjp81iZiI8D9WyEe83/agzsz2DnT1nMA0eztgCrNFqfB6xfQd2dx5TqaAW4zkrBGLTJpwjqXBi25hQvqajZe5BBiFg925c2Vl/m7loa0ONlLCfOjV9t9kSjXc/RfKrz0Bl8g8vR/JYx0ego32yXWDXpdhDgvj3J4NuUfTDQaBz8R+OuCiIfgkRa8J4ybgWCSoE8wieimwZUQkQC7FcqofWyM07cF4exXn8+LybC2VjS0Wnmh7gdVHAVw52DfkJIS0Si7pbnju2sqeJUx8fOU66lCZux2nxWniq+ymKlYVPOvdn+jHGTPQKNrlNHBg8wOGhwzVL0B4+RuqJgF6OFsD46EwUEK47Egms5NbJbKJSEASQD3toHSnCDGElwBhYtENjZyd6NMD92dFpi+XZDPrUGKazY+nTo4kEqnEDEhubRQ43tbaiShbx/zyC6k4hMiWEXkKgei54HtJrIPbr3mn9i96jxxC5Es6hYdxHJ/9u9t7eUEsxM+XctCxk6wacI2MTQyrjGcfoQS1inCggjFgTUsUUss7PL9QgnDvzJ0fzGGMQy+XS1dKCUg0kHnhlwrC8HqFHr0WXmqI1aAxdFAis2qUoITWxOu4my8W4OPU4x0aO4WkPJRUtXgtD+SGe7H5ywfs9kz5DOShP6A82uU1kihkODh6smeWN4eOLyeVyrIAIQIkVvnFGrDxKISogcmEw4VT9jFXZAEvIAmuNbOsg9vRZ5PCkQLbzbA8Gg51apsGHLVtwOl+7+KlaIRCbNmO/kib+7wcgCLDHVmEoo70d63QGdTwcfpMDWZynuvF3dKFVK4mHTqD6MqE8z3M9+J0tWGZGy01rKyrtY/8mzDSOu5TItdHEjjgPiQLCiDVh3LpuFlVbOFVj+ngqajAHQYDKL1//i9i2HWvQDxvo55HBCKVnJtMhbZSwTUC8ztCGkBaO8ZErbF+XK+cmNAePjx6fkPVJ2smwbLx/4WXjnnRPaE9nhZnPuBVHSRVmI2t8HG+GFqMcK4IRCDvqIVz3KIXwQWaLICQeYdeg8g2YALEUZaUNG1CjFdxfVIWm/QBnby9BVyuWfx49TLS0oMo21okxTFsjylqFY2tuRmXBq04Lxx4OM4J2vhGxdRt62Cf+vX0T8jwyUaNtRWtEYwveM6FQt0wXwQ9QqynVEnFeEwWEEatOYAKypSxBjRJqDB/J/BqE9v5+8GyUU6c5fDHYNnLjNtz9w+gD/XNuKpRD05SR2Y0UgIBLvDqG6kKjRNXBY4WwlU3ZLzOUGyJdTE/0/UE42LLYsnFPugcpJ3sFhRA0uU2kSinKwewUbQwfIaYGhAWIuetf6yyiOoAgEJlKGBCK8PelSwYMS/OPtW1kYxuxX/UicmWsQ4OITAm5nOf4clDNEqoxH5KrpKupFKK1DXfPINbBAewDZwl2bMLyvbAcvGk77oujJL6zDyTYozW0FAFaW9H9OfQrQ1XrT4G0z6NgO2JNiQLCiFUnU8pgMATB7IAwjo8xBm+OfiGRLWEdGsRsWIa+opm0tKBSAfaR2Y4E045BOsRMBduEAd5GCpRVjLhTe5JQSAsLg7vS4tSmwunUaU6MnsAYQ8GfdChp8VoYyi28bNyT7sFV07MILV4LqWJqluQMhEGvnBLQy7ECJhZpnV0QKIVAIHM+AolXfajTZT/0FV+qQO+GDaiBIs4vj+Ps6cE4CnfsPHSBaG5GtW3Dzi5BFH+htLWhhgokvvUCgWfhjkwJRltaUDKJOpsn2NiOUnWyfk1NqLzE/fXpyQnj882XOGLNiObNI1addDEsF/tmdjAxoUE4x1Orva8PKj6qVOcpeClIiXA9rO657bSEcrCFocGUGMGhkyLGaq2/vdQ4QuL4BZAr80RuKxtjDAcHDtISayFTykyT9knaSRDwhSe+wE+P/ZSEnaDJbeK/X/7faYu11d1vT7pnlsVgo9vIq9tejTvDA1WbAAszbXs5FmmdXTBUgwdVCEBInOoUiSqbsC1gHrvJeYnFUG4jsUdPY5Qh2NaFWMxE8EojBKK9Y3VvoPE4UsWQ2TL+9q2o0SnBtxCI7TvQ3UdBziGSLSWipQX3hUEKr2+LHtQipnEenmkRFzqpYorABBNDClNJUkEJSM6hQeg814tpTuCUV6hcE4uhuzNzbiKUQ1wokkEOSwmUCYjNYRAvhMaSkkZhmNuTYfGMu5WcGDvBaHEUgZimESiEYGvjVobzwzxx6gmCICBbznJw8CB3vuvOmvssVooM5YcmSs9TGe8pnLasWhLX4+VhY8KScXsD56z8HXH+ImUYVOQqICxcfMrGYJUqYcC/HNmmri6sU4codSiswgo89K1XhEBs3owwQ3gjydmSj7aN2nk5aj5r6NZW1PGzWIcGoGmO4DHioiMqGUesOulSmrJfezx4fMK43lCJHMiiz6SgpX42bsnEYqjhHCJXf4RZSAutFF0SNpIHDLvjdfoHAaRGIGleweqMFBItNX2ZPo6PHJ+VvQNoi7XRlewi6SRp9BpBwAOHH+DYyLGa++zN9Na0p6uHVy35u9UMochXQgcLE11qLhi0DkvGQmITYDBYZYNALM1GcpxkEilj4DjY5VUsya4HmpuxW3Yj5umxnpNkEmkcZDEA+8Lw4I1YHqKrdMSqky6mKfq1bdQS+FRk/YuUFOsdXgAAIABJREFUs7cXEwTYtSyslotYDJGvIM+M1t1ECImQNhvUeP9gvGYANm17ZbFhhc84W9n0pfs4lTpVV+dxKh3xDrLlLHf+pnaGsCfdQykoUTHnJpkTI8CYgHYr/G5DeSCQK6u4E7GaKIXMVwCJbQIM4JTBWHp5BoeEQFz2Ktz4pUvfV8RshEC0tSHzwHL3YEesa6KAMGLVSRVTVILKLIcLGM8Q1gkIjQllKDa0oIMVnIyLxZAlgXVinsES5bBBlGmnhLLmL18L5U6TqplKmymy28xdpj4XbGVzYuwEFb9SNws7FS01GxIbePiVhzkxemLW+nHJmdg5iu96+EjMRMlfpopgfFQ+utRcMCiFyFeqHt0CTIBTMmAtY3Ch1PK4EEXUprUVlSrPK68VcXERXaUjVp10KY0xBjWz7FHVIJR1RKn1sRHEaAGRaFrZA7QshO1gdefn3ExIh4bqEEyzVSOIDUz43/j2yqHRlBE1LsJvYIy3mgG0WZqbia1scuUcRb94zlm9zkQnmVKGf3zyH2etG/cw1urc2o09fLRUaDWeISwgAoOS5+GkaMTiUAqZq4RZb0Ag0EUDOso2rRs8D3npFbil+sNkERcfUUAYseqM+xiLGeUlh3BC1RK1gw9nby8ocEZWQUg1FkOfnsexRNnYwgCCnfHZF9b4fQdI/p+9E/+W0sUlCLOgM2ihjIdPp5n7PefDkhZlv0y+kserYaFXCy01nYlOHjz6IKfHTk9b15PuqVnar4eHT0VMfrcyVQQUwoqmGS8YtA4zhAgk4WyDLlVLxhHrh3gcMY8jVMTFRRQQRqw6qWJqmhzKOHH8sCwsa/QhlXzsF/sJNneg5vE5XhZiMXRfeppp/EyEcnAwFFWsZvnbOjqMPnx2oiwjlIMrIBlMzzxaJiBJhRbtcAlzZyXnw1Y25aBMTMeQC2jw35DYQLqY5h+fmp4l7En3zM7kzoGHTzDVpWS0qkEYiVJfOCiFKJRByMmAsBhE/WgREeucKCCMWHXSpXTNICNJhcAEtNmzM1v2gbNQrCDFKpUeYzFkroLsr9/XJ5WLJxWmxvCGyJWRYwVkqoxIhxO6Qjl4StFupjuFNBP28thC8CrtL6mvx1Y2laAySzdwPrTUdMQ7eODwA7zQ9wIA+XKekcJITcmZesTwMVNdSlIF8KLs4AWFUoh8mbBYHMoZyYIBFd1OIiLWM9EZHLHqpIvpWeVigCbKKAEt9myrKmdvL8azcFOrFBB6HqIQoE8N1d1ESAuv8RKuad05a53qrfZJZn1kf6q6vUZIi03W9NOuhRLGBCS8VtqohH2Ji8RW9oQ14ELpSnZRrBT5Hw/9D46NHKMn3bMgyRmoDpVMESeWo4VI2uJCQylE2UcEAokJg8JCBZYihRIREbHmRAFhxKqTKqVqBoTbyFFQMbSeHkCIVBHr6BCmawWs6urhukihsU7OHVhJK1FTkFr3pBB+gMpJ1BT5GqlcOuX0MnQzZaTUxGIbaJCCTX5q8YetXXY275xTAqceWmoubbuUE2Mn+PMH/5y9fXsXNJyCMaEX9fh3ZEzYQxhNi15YKIUIQJQNQoAUApn3owxhRMQ6JzqDI1YVYwzpYnpWGTJpqvIt9mzlfOeFXowfoAuraMIuBMRiWN2LG/JQvWmM5yCUhd07WSIWyqHFTJd7aKFERblI5eBaMS7XtaVpzu2wBe3xdmy9uKycrWwuabmElwZe4u5n7l6Q5IxNgAR0NVMkcuVIlPpCROuwt7YUVHsIBaLgM9s6IyIiYj0RXakjVpWiX6QclGcFhDvIgQnY5c0OCO29vZiWJE5plaVLYjH0mfSievr0mTSmKQmui+6fHBQRyiGGj0s1S2gMLZShGnRJK8kOWUYtUX5mKXiWx87mnRwbPoZv/HOWnIlVbevs6mVFjhUiUeoLEaXAN8iSj8BgEMhKUO0ojIiIWK9EAWHEqpIupgFmlSF3kqOkYnR60zUGVW8a3ZdZWau6esRiyHQx7INbCGUfNZgFxwPPQ/VNZhmFdHGEocGE+4zjYxPgVPvupJUkKXw6zNKmjZdKwk6wo3kHWp67lIhXdSlJ6PGAMBKlviBRCuGDyJXCG8j4s4uJAsKIiPVMdKWOWFXGRan9YLIs2mjKtFJC1xgmsff2YjA4o6ugPTiTWAyZ95HdI+G/jcF5uhvr4MCcL1N9GUwAqiLBdVEjeSiFAbBUDjGpaK5Kz4wPlLRUtf6klaBBWeykvkP9VpPjv5oB5Aq7DCSdJM3eHP7MM/DwwQS0WWEmV44VEAGRKPWFhtYIIxB5H4WYEhCu6VFFREQskSggjFhVUsUUfuDjm8mAcHu1XLwzNiP48AOc53sJNrSixLmJLC8rnoeoSKwTY+AHxH90gNh9LxP78ctzvkz3piHw0VkbXBdRqCAHqgGetFBSs1mH2ZQWykgMm6qBlxASbSXn7CO8nDQ7TZpLzdjyfM5lwsNHCoFbFcSWYwVARqLUFxpKAeEgiRKAH2AMCD+KCCMi1jNRQBixqqSLaYp+cZow9U6yFFSMDnd6htA6OoxIl5DO/D7BK4JSCNfFPp4h8c0XsJ89g5QW9ivZUGaj3svOpBBao6xEGFQWDaonnDQWQoQeyDK8ebZQIpAO1pQhEGkl6aBMosZ0rzYBXRRo1hZvk2nsNew1nEkMHyUUsirSLceKmHgkSn3BoRQCkDnCDGHFAAZRib7niIj1TBQQRqwq6VKakl+acPZoMiVaKOPUmC62X+gFLXHH1rDkGIthHRnGOjhAcOk2bNkVClafHqn7Et2bJmhuCAMhx0EYiT4zKXAtlUurCIO9FsoEanr2U9pJkhI21pCf6aKAMAHGaWWrFrzeDC/TB106s2zrxgrgRtnBCw4pQQhUIQglZ/wATICMAsKIiHVNFBBGrCrjJePxgDCcLvbZHZ8+TIIxWEeHMZ2tiBq2cKtGQwOyHGAu3U18uBmRSCKLYB2tI1jtB6i+DLjVIE9KhOti9U+XnkmaMo7xaaSMmuEVLKRDzIrxOj1bEHozBUCwLbmJJq+dt6g8SVNerk+7JDx8jJyS6RwrgBMFhBccQoBSyKyPFBLpGzAgTaQ3GRGxnokCwohVJV1MI6VEVu3edpKjqBK0OtPLxXI4j8yUEGoNhkmm0t6O3nUlseFE+G+tEV4M55XalnZyKAflAMGU6VzXRfdNDokI5WJj2GpyCGNwZ/g6CyFQdjO75Oyy8WbylK0klrLQsQ1s0Iprz5MsYQwfxqeSx0WpI3/bCxOtUdkg9DGuBAhjEDX8ySMiItYPUUAYsaqkS+mJ/sGEqdBEGafGdLE+MYoJAqzMGv9EhQhLZFOJx8NBkxpTvronDcbHSk95jeuiBrIQhNsL5RCTkh0mhTEBm93ZJXHltNAiBbuDSZeTpCnTQAXbCoNTIS2SsQ1cpUp0mAVK46wAHj5ChAGhyIai1IIoILwgUQqy4eCTqgBGrG0mPyIiYslEAWHEqpIqpia07ZJUMCagw5p9I7FOjoLWaDG7t3DNSSSQowXk8GytQNWTRiBRasogjOch8uUJPUMhbSyp2CZKSClpdppm7Ucom5jTyDW6NBF4biGPMT7b3MTk+3ntdFg2V7O2E8fCGFwCVNWlRKZCUWpRjiZPL0iUQmXD7LVVCUvG4fRxRETEeiUKCCNWlXQxPVEujlMBY2i3Z2fI9IkRTGvj+Tmhmkggsz7qldl6hLonhWlKINT0krEs+Mi+8UljGdrUSUVFejV9nSHMEm4QPhuq2b/NFPClS+cUbUAhFI7TwG61toGXS7V8WC0Ry9FCKEpdiIKECxKtw4BQCBxfhC4lMzPpERER64roDI5YVYYLwxMBYQIfLQQxOzFtG5EpoQZzUKOUel7geQg09tEZWTljUL0ZTDw+e/uKQJ+ZnBoWysEWAnR9fUVpN9KiLa4ghTIBGymANbu8LpVHIxUcs3gP5KUSilIb3PEJ41QxFKUW5+l3GLE0lELkyyAUbgWMpc7Ph7eIiIhzJgoII1aNsl9mKDc04Xkap0IgLYSY/jPUp0YxxqDz5+kNRghEIoF9YvpgiRwrIPPl2c31WiO0he6bOmnsYguBPWUqd/bbSCy3hdepMlvJI01Agz07gBTawxEBTWvYRxjDJyCgqVr+D8vjEmFHU8YXJEohChXsxDbaBuNgnbvFYURExPlJFBBGrBoDuQEMhnIQyqQkqODXCIj0iVGEAasyOxt23pBIhBm/0mRWTnWHQyIqV+O08jx032TPoVQONgENau4bqXJaaFGGa00oc3NpfLans1QeCanpCOrb3a00Hj7SQJMV9k7KVCRKfUGjFKJYQcoYsaICHbUGRESsd6KAMGLV6M/04wc+ZX88IPRrSlVYJ0cJWhun9+Gdb8TjyEwF1V0tG/sB3qPHMa6FZWoEsq6L7psiTm03Eo9vYGu8fc63EcojacVpEYayTmCr2QG0kBqlbLZbaxd8efgoKbCtUCYoEqW+wFEKAoMo+lDyMVFAGBGx7okCwohVoy/TR7acxdY2GEOcCnJmhrBUCa3fZvbhnW8kEsiCwToaDpa4vz6F6k3B5q21A1nXDfvqcmEwLISiMbEZR88t1SGEQDutNCqJbde38BPaY5Ncux7CBBWMUBPlfzkaiVJf0GiN8A2iUEYUK9GEcUTEBUAUEEasGv3ZfipBBadaLrUwaDH9RqJPp8APEJXzODsIYFkI18M+lkGO5PF+eoygqxlvuE4g63mIoo8cSC/4rZTTQpPXwnZvtjzNOFJ5NFNGrYW3sTFsIU9BVfUR82XUSB6i/sELF6WgEkCuFGYJo4AwImLdEwWEEatGf6YfRzkIIYhXp1JtOb3MqU+OIoIAJ3+eZwihKlCdIvYfByEIsGUnop4zh+siSwbVXd8DuR5CKpoadtDhzp0hdE1As5ltd7fStFIiYSo4VcFsdSaFMQZZjC4vFyxKIXwQ2XyYIRTRdx0Rsd45r9MwpVKJD33oQ3z605/m+uuvB2B0dJTPfvaz/PKXv6SpqYnbbruND37wgxOvOXjwIH/913/NwYMH2bVrF3fccQeve93rJtY/+OCD3HnnnZw9e5brr7+ez3/+87S2zm7Uj1h++rP9Ez1wCSoEJqDNmm5NZ50YxTQlEXodZJcSCdTQCNbBCsHuLVijc9jsOQ5CaKyTOUpvWf5DkcojoRTNpQyDcspxGIOFobyCN+xt5IGAV8VCfUR9JoXwA+xiHCLzigsTpRBBKBElSj7EJKxdx0LEOiDQmopXX2YrYnnQ+TyyUpl/w1qvXeZjWTaKxSIf//jHOXLkyLTlt99+O7lcju985zvs37+fz372s2zbto2rrrqKXC7HRz7yEd7znvfwt3/7t3z3u9/l1ltv5Sc/+QmJRIJ9+/Zx++23c8cdd3D55ZfzhS98gU9+8pPce++9a/QpLy76Mn0TIswJfBTQ4kzJevlBKDnT3g5r78Q2P/E48kyFoClBbLhh7ny7EJBM4hweJbsSxyIttLTYoWHqGXM5aa5hlPvNBkZFfYmbpbCdHCWdJOmEWV3dncIkYghrHQT1EYtDa0Ais5WwZByPMoQR9cm+/e3IW25BNZ6HzlMXGMWxMYJvfpP4o48u+LXnZUB49OhRPv7xj2NmeMWeOnWKn//85zzyyCNs27aNyy67jL179/Ltb3+bq666igcffBDLsrj99tuRUvLpT3+axx57jIceeojf/u3f5pvf/CbveMc7+NCHPgTAl770JW688UZOnjzJtm3b1uKjXjTkyjnSpTQmMCCpDpRItJoMGlRfBoo+Yr2kleJxRFsX2mtClM/hVGpsRPeeQY7mCZqW90lZCIHUHpvLBRhvIzSG15AmTsB/MYPcT9eSZGCuNqP04NIrJjOQSVOmmTLGbplYprtTmMYkLO4hNWI9oBQCwoCw7BN1H0XUI9AaecsteO1zKypELBPt7eRuuYXg8ccXnCk8L8/ip59+mmuvvZbvfe9705a/8MILtLe3Twverr76ap5//vmJ9VdddRWyaqEkhOCqq65i7969E+uvueaaidd2dXWxadOmifURK0d/ph8MlIKwxy1JBV/Y02zbrGPDEPjY6XWSWRICsXUbTvkcn3obGpDpMvrlsytzOMqjjRKi+iDVRZEGU8axkrxG+1xmUvPsoT6u8XkDY/yXoG/a4Mp28mACdrjh30BkisixQpQdvNCpDpGoVDg1T2RZHVGHiudFmcFVRjc2Lqo8f15mCP/gD/6g5vKBgQE6OjqmLWttbaWvr29i/Y4dO2atP3jwIABnz56t+fr+/v45j+euu+7iK1/5yoI+Q8R0+rP9lIMyfhA2GsXxCWZo6tkvnsU0J1HWOhgoWQyeh1QuzktDlK6bnpG29/WhT4+Re8+li87iSe3iEdBgyowJm1eRxkewrXknInua/ys3xmkTJyfC036LyXEtI+yliVfmsZjrpIgxAdsVvNYf4XkV9t1uI0dJeXR44QVfV8W5dU5ApEl94SIEKIUaqw4x+VFEGBGx3jkvM4T1yOfz2PaMIMK2KZfLGGPqri+VwotWoVCYc309brvtNg4dOjTtvx/+8IfL8IkuHvoyfWRLWTwrfGqJU0FM0SCUI3n06TFobqm3i/WPENDQgHNoBKa2QwSG2ENHcH9xDH1kaPG7Vx5xKWgJMjjGZzs5yk4znnawE1vYqhVvDQZRJuB6M8Q7GKCNCjeKYex55Go6KSKBjfEObtA5EqaCZ3w6KKKsSTkc3Z1C+AYdnMcuMxHLg1LIsSLGgFgDtaOIiIjlZV0FhI7jzAreSqUSrusihJhz/Xyvj1hZ+jP9GAxaaoQxxPFRcjJBbe/rBz/Ayl7gpcaGBuRwAXlmsnxrHRpEjBbQY4b4/QenB4sLQCgHW2q2qIBLySJMwBYvnPyVyqExsZErdYnfNj28yqTI6GYubb2E7VrwumB4zn13UqSs49jxTWzSiuvMENvIgQnY6MYmtlNnUpjGBEKtkz7QiMWjNTJVAkwUEEZELJBcLsfw8NzX3dVmXQWEnZ2dDA4OTls2ODhIe7VZtbOzk4GBgTnXz/X6iJWjP9uPq8PAPYaPAKwpGoT2/j6C1gYsk1i7g1wNGhpQGR/rQN/EIvep0+AqVMsWnMMprBf65thBfYSQSO2xVRkuI01RxdgxxftYue10uUkSIsBKbOftHbuJO000e+28RedJmnLN/SoT0EYRqeIIZZOMd3GlKvJ6xvClzdZY9T2MQXenoOEC/w4jQpRCpgpgAkRpXd1KIiLWnFtuuWWine2ee+7hM5/5zBof0ToLCN/whjfQ399Pd3f3xLI9e/bw+te/HoDXv/717N27d2I62RjDc889xxve8IaJ9Xv27Jl4bW9vLz09PRPrI1aOvkwfVtW3OE4FYwLi1X/LoRy6Jw1NzWt5iKuDbSNiCdwDoQeyHM5jHRnCdHUi2jpQFYf4A4fBX1zKRSqXjRRpNGVce7qziRACt/ES3th1FVc1dk4s17ENdGnFm03tp9VWSkhjSFS1IZXbzgbbo4kKgdU4MRgkxwrIbAnUBZ7ljQhRKpxoN6DMedmOHhFx3jI6Ojrx/x/96Ef5whe+sIZHE7KuAsItW7bw1re+lU996lMcPHiQH/7wh/z4xz/mlltuAeBd73oXuVyOz33ucxw9epQvfvGLZLNZ3vOe9wDw+7//+zzwwAN8//vf59ChQ3zqU5/ibW97G9u3b1/DT3XhY4yhPzs5uJOoupR0WmGp0d7XB76PnblIAomGBuxXRqDk4zzdjQkMVjYeTi1v3oJ9PIP91OlF7VpoDweDj+CKho7Z64Wc8BueWCatatavxAYzWwByA0UgYGe8aWIfbmIzHVrTPkVHUlUHSlQ2mia5KNAaERiEYVo/cETEeqS7u5u3vOUtfOUrX+HNb34zb33rW7nnnnsAOH36NH/yJ3/CNddcw0033cQTTzwx8bonn3yS9773vbzpTW/i9ttv5/d+7/d46qmnAHjssce4+eabedOb3sS1117L3//93wPwl3/5l/T09PDRj36U++67j7vuuotPfOITHD16lCuvvJJCYfI6/IlPfGJiqPVXv/oV73//+3njG9/IH/3RH3Hq1Kll/Rusu8e6L33pS3zmM5/hd37nd2hra+Pzn/88V155JQCJRIKvfvWr/PVf/zU/+MEPuOyyy/ja175GIhGWsK688ko+97nP8eUvf5nR0VGuv/56Pve5z63lx7koGC2MUvJL+MZHo0lQQQlBzA4nW+39/QRtTWhzgU4Xz6SxEXmyF31kAOfZM5iuVqxybGKd6o2T+M+jDL9xE9gLO0Wl8ogJyOsGYgtwe1FuO525AW4oDvMDM12vsIMivnSJWVN6Be1GNrW/HjHFi1p3pxABWCYaKLkoUArKgCHqGY1YGI8+Cj/5ycq/z3/7b/D2t5/z5oODg4yNjfH444/z5JNPcuutt/KBD3yAW2+9lZtuuol77rmH559/nj//8z/nvvvuIxaLcdttt3HHHXfwjne8g69//evcd999AGSzWf7iL/6Cu+++m+uuu46XXnqJ3/3d3+UDH/gA//AP/8Dzzz/P5z//ea6//nruuusuAHbv3s22bdv4xS9+wbve9S4KhQKPPvoo9913H6dPn+a2227jy1/+Mtdeey3f/va3+bM/+zPuv//+Cam9pXLeB4SHDh2a9u/W1taJqL0Wr3vd6ya+kFp88IMfnGZ1F7Hy9Gf7McZQ9ss42gl9jKVGKQt5NoPuyxBs2wyZtT7SVSKRQBYlifsPIbIlaG0Mb6wQZgm3bMU6fgD3F8cpvOOSWS93nziB81Q32d++gsq2GWVhHSMR38hlYmGDUkJIvMQmLq0cY2slyylR7QM0JpSc0bN1xKYGgxBa1pnmJEKd95eViOVAKUTRAGJClzAiYr3zp3/6p9i2zdve9jaam5s5deoUqVSKj370owghuOaaa7jhhht44IEH6OjoYOfOnbz3ve8F4CMf+Qjf+MY3AHBdl/vvv58tW7YwMjJCNpslFosxODjIJZfMvq6Pc9NNN/HQQw/xrne9i5///OcTQeJXv/pV3va2t/HWt74VgA9/+MPce++97N+/f6JtbqlEV+6IFac/00+hMpkCT1RFqQGcff2YIMBOuxePbp1SiGQSfTZPpc3Fy8SnN28kEiivhfjDxylds5mgeVJgVI7k8X7yCjJToeF/PU32A6+m+ObNExk9IQR2vItNizgsaTfRbnu82U9xyoQl7EYquATo+bKNxoQBYUsrFBfx5hHrD6XADxBGwzJlKCIuEt7+9gVl7laTlpYprktaMzg4yPDw8DRTC9/3aWxsxBhDZ+dkP7YQgq6uLgCUUjz88MP867/+K57nccUVV2CMmeXANpP3ve993H333eTzeR588EFuuukmIJx5+NnPfsYb3/jGiW3L5TI9PT1RQBixfujP9pMr52h0wixTggpGuWAM9v5+TMdFVC4ep6EBkclCZyciVSO7snUr1ssvELv/ZTJ/dNXE4tiDhyEwyK2XIo+cJvH9l1DdY+Q+8GqwlpalEUJgeZ3sLp1gQ6VAn/DooIgxPhudub8fOZRHFCogo9LhRYNSCN9gtFqSJWJExPnMsWPH2LJlCw8//PDEst7eXuLxOI8++ig/+9nPpm0/bnTx3HPPce+99/Jv//ZvbNq0CWMMb3rTm+Z9v87OTl772tfy8MMP88tf/pI77rgDgLa2Nj7wgQ9Ma3M7fvw4GzduXIZPGRI91kWsOH2ZPixloaulxDg+UljIkTxqIAvxi9DWqK0NGWvESdWxF7JtZPsmvKf70YdDqST9yjD2S2cJdmzC8uOoHZdh007sF6eJ3XdgWQ5LOc20WQ7XiHACrpMiQmg6vbknwHX3GCYI0OmodHjRoHXoULLAPteIiPXEG97wBoIg4Nvf/jaVSoVXXnmFm2++mV/96le8/e1v59ixYzz00ENUKhW+8Y1v0NvbC0A6nUYpNaF/fPfdd5NKpSiXw/4gy7LIZGr3Sf3Wb/0Wd955J1dffTWtraGs17vf/W4eeeQR9uzZgzGGRx55hPe///2MjIws22eNAsKIFac/049TlSLRJsAhQEuFGsiFNmcjF6HtlW2jNu9GMYff5IYNqKwi8W8HoOQTf+AQQczCHa72941PJdNM7On+RUvVTEUIieN18BpVocWUqoLUiWme07XQJ0cBgZbJObeLuIAYzxCqKDsYceFiWRb33HMPP/nJT7juuuv44z/+Yz784Q/z7ne/m4aGBu68807uvPNOrrvuOg4ePMjGjRuxLIsbbriBG264gXe+853ceOONnDx5kuuuu45jx44B8P73v59PfvKTEz2HU3nnO9/JyMgI73vf+yaW7dq1i7/7u7/jb/7mb7j66qu56667uOuuu9iwYcOyfdbo0S5ixenL9KGqAwgJKmAMllCogSzCD7CIhIxrIiVy63bsV47Q8LVnkH1pzK4dqLEZ/XxNTaieQdTJUfydS7f+U04rbbqX6ypDNIkyRs+zz0qAva+fYFMbohRlCC8alEJUuHh6fyMuaDZv3jxriPXxxx+f+P9/+Zd/mfWa4eFhWltbeeSRRyaWXX/99TQ2NiKl5Itf/CJf/OIXa77fxz72MT72sY/VXJdIJNi3b9+s5TfeeCM33njjuXycRRFlCCNWlEpQYTA/iCHMAsbxCTC02BZyMAeWjdCRhlldmppQuhH76ChBRwPeSI3gubERmRfYz/csbN/G4Dx5Gjman7ZYSIXrdXC5CgXEm9Xc34/98llEroTUkdzMRYVShNHgRZjhj4gACoUCf/iHf8iRI0cwxvD9738fx3HYsWPHWh/aoogCwogVZTA3SGAC/MAHwgyhJKDNbkANZgmSsaghfR7Etm1IEuhYF0LWyMAphWhowH1xdPa6ObCf6yF2/0HcRw7PWqfdNtq0RBqfHYlWMIbk/7sH5+nuWds6e3owroWbucgGgy52tEYgFu29HRGx3tm4cSNbXZ0ZAAAgAElEQVR/9Vd/xa233spVV13Fj370I/7pn/5p2XQBV5uoZByxovRn+gmCgHJQxsUljo8WClt7qKE8wktCZa2P8jzHcdBbLkXPpdPY2Ih15gxyKEfQGptjwxCRLhJ78DCy6OM9PUDuQwHoyYuYkBaJWBexYBBLWciBLNbRYfThAUqvbsckw7K1HCtgHRki2LoRkYnKxRcV49qDS29djYhYt9x8883cfPPNa30Yy8L6DGMj1g3jkjNTewgrwkKUfeRYASKHg+WhqQmZKmO92Dttsb23l8YvPYE+Pn0SLf7AIUS+gmzeiB4qoA+enbVLHdvAazquAMA6PoIJAqzeErEHJ/ts7D09UAmw8vMHoREXGFKGfa7l6DYSEXEhEJ3JEStKX6aPol/Es8Jp2jg+gbJRgzmMARllB5cH10U6cdwXhiYWiVyZ2AOH0P1ZGr76LPb+PgCslwew9vUT7NqE5XUiyxrvyTNz7l6fGAHbQjdtxPtlL6onFfYgPteD39mM5Ufl4ouSjg6UM7ckUURExPogCggjVpTuVDcxKzYhW9JIGaSNGsqB8VG5KEO4bDQ2Yh8ZhWIYZXs/ewWRK8H23VijmuTXn8d99Bjx/ziIaXTxRhpD6ZqWVpwXh0Jh6VoYg3V8FNPWBBs3okcD4j96GX1sBDmURyYuQh3JiJCtW9GJ5ZO9iIiIWDuigDBiRelOdWNVy8IxUyGOj6Uc5EAO4YNSUWZp2WhqQo4VsQ4PIM9mcJ7sJti+AafUgNr1aqx8gsR/HEaM5pGtW5CiGoy3tqKGi1j7a08py5E8cqyAsGOgNXLjFpz9Q8TvOwBa4I5FskERERER650oIIxYMSpBhd5MbziJCLRRwpiAVl0tGcddhI4yhMtGIoGs/P/t3Xd8VFXawPHfnTstjXRCR4LACyZCJIAgxSWASlNeVEBkQakv2NBdEesK+IK7sqiwLgvqywpiYSG4IoI0ARVWEilBKRLBZCjpyWQymUy77x+BWWOApSSZwDzfz2c+Zm455zlcLnk859xz9Rj35hCy7gioCsbys713Oh26+DYY1IYQ1wiz9Rdz/kJC0GHGvPv0eYvVHy9G83pRrWf/uYiNRV9hQn/ahrdpQxR5XZ0QQlRjt9spLCz0dxiXTBJCUWtybDm4vW5cnspX9cTgRAc0C45BzS9DC5UHEWqUTocSHk7Q3lz0PxbibdkUg+cXb0JRFJQmzQjy/GqIT1FQoqMxHS5CKa2oVqzheBHo9Rh14f8+vmVLVJuC3iu9g0IIcT4PPvgghw8fvuzz1qxZw6hRo2ohoouThFDUGovVgtvjxul1AhBLBW41qPK1dfl2FJPpP5QgLtvZp421MBPBhZfxGrnoaNRiF8bvqq8zqD9ehBYbWXW9yAYN0LfphKlcEkIhhDif4uLLWxvW3yQhFLUm25pNqbOUIH0QaBoxOEEfjFLmOvsAgyyDWeMiItBhRoltfHlDuUFB6IwhBP0rp8pmXYkDtagcxXiedy7LguJCiOuExWLhtttuY9GiRdx666307NmTxYsXA5Cdnc348ePp0qULQ4YMYefOnb5z2rVrh9v97wfy+vbtyzfffMOTTz7JqVOnmDJlCqmpqSxcuJApU6YwYMAABg4ciMfjYenSpQwcOJCkpCT69u3L+vXr/dL2c+Q3sqg1FqsFg86AQTUQqrkx40VVjZXDxZqGzikJRY3T69F1SCTIegXnRkdjyDyF/kQR7hsqlxLRn11/UC3TyTtrhRA1wn7mG+xnvqr1eoIb9SS4UY9LPj4/P5+SkhJ27NjB7t27mTx5Mvfccw+TJ09myJAhLF68mH379vHII4+Qmpp60bL+/Oc/s2/fPubMmUOPHj1YuHAh3377LWvXriUqKoq0tDRWrFjBhx9+SKNGjVi5ciWzZ89m4MCBV9vsKyY9hKLWWKwWTPrKYeEYKtA0Lw2NJtR8O3i9GBxmP0coqmjYELVCJfT9DN/SNfrjRaCqGDR5T7EQ4vo3ceJEjEYjvXv3JjIykqysLKxWK1OmTMFgMNClSxd69erFunXrLrvsxMREWrRoQWhoKDfffDMff/wxjRo1IicnB5PJRGFhIR6PpxZadWmkh1DUCk3TsFgtvjeUxJ59oKSJORpd/nEUdOhMsuRMvaKq6G5ojTHzCMGf/ID9/psr31ASG4HikdfSCSFqRnCjHpfVc1eXoqKifD/r9Xry8/MpLCykS5cuvu0ej4fw8MtffzUmJsb3s6IovP7662zdupXGjRsTHx8PVP7u9BdJCEWtKHYUU+Yqw+11Y9QZicGJWx+Cquorl5wJC5Y5aPVRWBj68EYE7ziJu0Vk5bVqHgl2fwcmhBB176effqJ58+Zs3LjRt+306dOEhIRgs1W+YN7j8aDX69E0jZKSkguWpfzid96yZcuwWCxs27aN4OBgDh06xGeffVZ7DbkEMmQsakW2NRuv5sXpcZ59oKQC1MoHE9S8MrSQ8zykIOqHJk0w2A2E/eMHNM2LWi69g0KIwNSpUye8Xi8rV67E7XaTmZnJvffey9dff010dDQhISF89tlneL1eli9fTllZme9cg8HgSxp/zWq1YjKZ0Ov1FBYW8sYbbwBUeUClrklCKGqFxWqhzFmGqlMJx40RDbPeCF4NXaEdxWD0d4jiQnQ6lPg26As8KF4Ng/sylq8RQojriMFgYPHixWzatInu3bvz0EMPMXbsWO666y5MJhMvvvgib731Ft26dePEiRPccsstvnPvvvtunn76aZYvX16t3HHjxuFwOOjWrRv//d//TWJiIhEREWRmZtZl86pQNH8OWF/DDh48yPDhw1m9ejUJCQn+DqfeWZK+hOX7lxNuDudGyuij5dEiog1NK4KIeO0rtEZNCXLF/OeChP8UFeE02zEGNfV3JEKIa5QzLAyWLcNolE6AuuJ0OmHcOIylpVW2H3Q4GJ6VdcG8ReYQilphsVoINgSjKAqxmhOdotDQHI56sghN86IvR/721XeRkRiJ9HcUQggh6oAMGYtakW3NRtVVzj2LwYlLDUZVVXT5dhSPJq88E0IIIeoRSQhFjXO4HeTb89E0DeXsG0p0auV7i9V8Oxj0KAZ5bZ0QQghRX0hCKGrcSetJ0MDpcRKBC1XzEqRWzh9R88vQwkJkyRkhhBCiHpGEUNS4bGs2DrcDr+YlFicaXpqZg1FsFehPFFcmhEIIIYSoNyQhFDXOYrVgd9kJMgQRRwWKoifKHIn5qywUpxvVK8uYCCGEEPWJJISixlmsFoL0Qag6lSaU49KHoit3Y96djad5LCan9BAKIYQQ9Yks/CFqnMVqwaAaCNNchOJBZwjB/E0WOFzoFVnGRAghhKhvpIdQ1CiP18PJ0pMoKDTGgaZ5aa6ZMX+ThbdpDKZy6R0UQggROFwuFzk5Of4O4z+ShFDUqNyyXNxeNy7NRVMcaDoDLTJKwe5Er0rvoBBCiOvfhAkTSE1NBeDJJ59kx44dAPzzn//k4Ycf9mdoFyRDxqJGHSk4gsvjwu1x0UR1oCmhBO3MwtsoiqByWYxaCCHE9e/tt9/2/VxcXOz7eejQoQwdOtQfIf1H0kMoalRGTgYOt4OmBgNmvDQ54UApq0A1R/k7NCGEEOK8LBYL3bp1Y/78+dxyyy3079+fbdu2AbB9+3aGDh1K586dGTlyJBkZGQBomsarr75Kjx49uO2223j00UcpKioCYMyYMaxatYo//elPpKWlMWvWLP7yl7+wZs0aRo0aRUlJCYmJiZw8edIXw4IFC5g5cyYA33//PSNHjiQ5OZn77ruPgwcP1vqfgfQQihqVkZtBqDGUZpSiaR5a77OiRYRhtoWArEUthBABb+vxrWzK3FTr9fRv3Z++rfpe8vHFxcXk5+eza9cuvv76a6ZPn87SpUt57LHHWLhwIT169OCTTz5hwoQJbNy4kUOHDrF161Y2btyI0WjkscceY+XKlUybNs1X5u9//3sOHDjA0KFDue+++1izZg0A4eHh9O7dmw0bNjB+/HgA1q9fz6xZsygtLWXChAnMmDGDwYMHs2XLFqZMmcKGDRsIDa29kTbpIRQ1Jt+ez2nbadCgCQ4MFXoaZDkgIhJFkb9qQggh6rcZM2ZgMpno27cvN910E9OnT+f222+nd+/e6PV6hg8fTvPmzdm+fTshISHk5uayevVqcnNz+etf/1olGfxPhgwZwueffw7AgQMHcDgcdOvWje3bt9OsWTPuuece9Ho9d9xxB82bN/fNQ6wt0kMoakxGTgYujwuXx0kjg4Oo0140TcNUGiS9g0IIIQDo26rvZfXc1ZUGDRoQERHh+x4XF8d3331HkyZNqhzXpEkTcnJyuPvuu5k1axbvv/8+f/zjH2nTpg2zZ8/m5ptvvqT6+vbtywsvvIDFYmH9+vUMGjQInU7H6dOnOXToEMnJyb5j3W43p0+frpmGXoB024gak5FbOX+wuV6HUfPS6HsrWqMoVCXY36EJIYQQF2Wz2SgvL/d9P3XqFNOmTePUqVNVjrNYLERFRXH69GnatGnDhx9+yK5du+jWrRvPP//8JddnNBrp378/X3zxBRs3bmTIkCEAxMbG0rVrV9LS0nyfTz/9lJEjR9ZMQy9AEkJRYw7mHqycP6g4CbY7ibF4UEzymjohhBD1n9fr5c0338TlcrFp0yZ+/PFHevXqxfbt29mxYwdut5vVq1dz4sQJ+vTpw/79+5k6dSqnTp0iLCyM4OBgwsPDq5VrNBqx2WznrXPo0KH8/e9/x2w2c9NNNwHQp08ffvjhBzZv3ozX6yU9PZ2hQ4eSmZlZq+2XIePrWEZOBm6vm6TGSbVe17n5g5qm0URx0CBfw6CpmK2hoNZ69UIIIcRV83g89OzZk9jYWN566y06duzIggUL+NOf/oTFYiE+Pp6lS5cSGxvLnXfeyaFDh7jvvvuw2+0kJCQwe/bsamUOGjSI2bNnk5ubS5s2bars69q1KwCDBw/2bYuMjGTx4sXMnTuXGTNmEBkZyQsvvHDJQ9FXStE0TavVGq5TBw8eZPjw4axevZqEhISrKsvtdaMqKopScxPtcstymfrZVArKCxjcZjCTkycTavz300mapmF32QkyBKGrgQc+th3fxqtfv4rHU8FUtYCEbcU0LW1IcHnjqy5bCCHEtckZFgbLlmE0Gv0dykVZLBZSUlL4/vvv0euv7b4yp9MJ48ZhLC2tsv2gw8HwrKwL5i3XdquvYYXlhXx78lt2W3azP2c/TUKbcG+He+nVshd63fkvi9vrJseWQ6gxlHBz9W7pczRNY3HaYsqcZZQ4Slj63VK+Pfkt07tPR1VU0k6lkX46nZyyylfpBBuCCTWE0iG2A5M6TyLsCoZ5z80fTDRAA1sFwWdc6IKCLrscIYQQQtQ9SQjrkMVqYbdlN7stuzlScIQKd0XlU7iqiZ1ZO/n21LckNExgSNshmPVmbE4bNqeNAnsBWSVZWEotuL1uNE2jZXhLEuMS6RjXka5Nu6Lq/j0uu8uyiz0n9xCkD6Jpg6aUOcvYe2Yvj3/+ODEhMdiddkKNobg8Lsrd5dgqbOSQw+6Tu9lzag8v9XmJ9rHtL6ttGTkZhBpCuEU5Q1iOi/ByMybCZJaqEEIIcQ2QhLAGeDUvb+15iz2n9qAqauVHp6JTdOh1elRFpcxVxmnbaexOOwbVgF6nx6t5MevNKIpCi/AWFDuKSTuVxv4z+wk2BOPRPCgomFWz7ziXx0VJRQn59nx2WXZh0pvo3qw7M26bQVxoHGXOMv6W/jdQwOFxoOpUQowhtIluQ35ZPk63kyBD5TIwBr0Bg97ga4eiKKSfSmfSp5N4rNtjtIluw7HCYxwrPEa+PZ87Wt9BSnxKtSHmvLI8zpSdIcJrI9brIG5vBbq45ig2mTwohBCi/mvWrBlHjhzxdxh+JQnhVdI0jb+l/Y0Nxzbg9rpxe90AKCho/Ht6pqqoGHQGVJ2KQa1MwoIMlUOqEZqTclQigyKJMEdQ4a6oTCZVfbXky6Qz0dDQEKhMRAvthfzzyD85nH+YZ3o+ww95P5Bry0Wv0xOuaARpFeRjRKfoaBja8KJtCTWGcmP0jfxc/DOzdsyiRYMW2Jw2DKoBh9vBthPb6HKoCw91eoiuTbv65jxm5FauP5joLSA220F0noohJqRm/oCFEEIIUeskIbxKm49vZqttK0a1csLsuWRPp2l4AX71oIhJZwJA0TRaUk4iVhpqDpwofE84GTRAMZir1aPTNILxEIYbNwolGHAqOmJCYggzhXGs8BhPbnySxqGNCTIEEeex0o88dJqbCgxkE0QWweRhpAy1Wlzn6HV64iPjKXGUUOYsw2wwY1SNmPVmvOVedvy8g31n9pHcJJlOjTrRIbYDe07uweUoINnlJO47B0qrlhiKZe1BIYQIdPrycipKSiA21t+hBAx3SQnmX6yneKkkIbxK64+uJ7RZKE3dhbRQKgjT3IThJgQPbhRsmp4yVOyoaL94XUcjHDTwOtGXQ2SugbAIjZiIEtpTwiEqHxgJpbKs0LPlKQBeL1686BQVByrFGDiqhmKOakN26Sny7HkkmY301xVjLvLQyhpEUZyOmOAK2ntKcQFeRaVE02NHxYgXM17MeKhA5Rgh/EgISlBElXYqikJ0cDSRQZHkleWx27KbXdmVQ9bhpnBucJfS0OIgyh1GcGG4zB0UQgiBzu3Gu2IF9gcfRH+eNfpEzXKXlKCtWIHO7b7scyUhvEpGzcUg+3HalZVhtnkw2sBo9WKyesAArjA97hAFdxB4VAWvTodHVVDKNGIPOIg7CTqPF7zQKk7PmW4mWsQ58bg96B1gsoHJ6sVY6sFU4sZk86I3qVhj9JTFGKiI0tEuyobFZOJAgwh0aPRyFxDzYznttzgwOYq5QQUtyICjbQhFIR4qjE7cJtBUL4rDi8GuYbB78EaqtG9eSmGQyomgUByKSjAegvFgwIuFIDIJQR/SEK+i4NW8lDnL0NlPM8xWTvBRNyZzU5Ry+WslhBCiUsjWrXh37MAtK0/UOnN5+RUlgyAJ4VUbUZBFZ6uL4INuYssboBrMoBpAp0OpcMNpDbxecHvA6wG3G9xuNJOKFt0IXTMjBlsQOrsLtbiQlutsNNU7UTwait6IFhYMRiPoVFB0KEYdisNFyM9u+NEJtnIq4jw06+SgdVM7DiD2UDkt94IafwOmnGC8thLcOgchR10E6QFFBZ0COh3o9aCqKIoOJbMczzdWSpu7ueGGcipUHWq5ht7uRdWg7Y12OoYXkx9kJFdnRgfoDV5aljloXuAhOqg5piIZKhZCCFGVzu2uti6eqF8CLiF0Op3Mnj2bDRs2YDQaGTduHBMnTrzi8iIzncQaY4gkCoPh7IMUnrOfc8OmOs7/J+04+1890CAIAw1A0zA4ykGvRzGcXchTO1veOerZjxEI8mAsyMO8uYhGEXaKI7w0KAvF1KQFpqIgMIIaZb74y0LOlR0CmD0EZRURcaoUb5gBVB2KooMKN0p6EY7YcgpvVClpWI7e7sZo96C4Ncg3EF4aJUPFQgghxDUo4BLCP/7xj+zbt4//+7//48yZMzz99NM0adKEQYMGXVF5LQtb0zC4Qc0FqCgoQZfRy6aq6GIaYaIRJrsdc5ENvT4KxX6Fl1ZVUaJiMBFT+d17drseaNgEY3EhQWnFNDZ50RqEg8GE4tWh94SiXGBBbSGEEELUbwH1G9xut/Pxxx+zePFiEhISSEhIYMKECaxYseKKE0Kdrh69jic4GAO1OGSr06FExWD8ZbJYUXvVCSGEEKJuBNQA3+HDh3E6nXTu3Nm3rXPnzmRkZODxeC5yphBCCCHE9Sugegjz8vIIDw/HZDL5tsXExOByuSgoKKBhw4sv3PxLDkflBMBMp7PG4xRCCCGEqEnn8pVz+cuvBVRCWF5ejtFYdYj33HfnRRK7hQsXsmjRovPue/rMmZoLUAghhBCiFp08eZLk5ORq2wMqITSZTNUSv3Pfgy6yPtKjjz7Ko48+WmVbQUEBPXr04P3338dsrv5mkcv10UcfMWLEiKsuJ5Dqqck6hg8fzurVq2u9nouRei7Nr6/Vtd6euq6jPtVzsfuuJuupKVJPpcu9bnLv1I96HA4Ho0ePpmfPnufdH1AJYVxcHFarFafT6esZzMvLw2g0En6ZK6hHR0cDnDfLvhLbtm0jISGhRsoKlHpquo4LlXU9/ZldL/X8stzroT11WUd9q6cm4qhP7QmUei7nPLl36lc95/KXXwuoh0rat2+PwWBg7969vm3p6encdNNN6PX+zY27du0q9dTDOqQeqacu67me2iL1SD11Wc/11Ja6rOeXFE3TtDqv1Y9efPFF0tLSmDdvHnl5eTz99NPMnj2bgQMHXnZZ7dq148iRI7UQpahrci2vHXKtrh9yLa9Nct2uXRe7dgE1ZAwwc+ZM/vCHPzB27FhCQkKYNm3aFSWDQgghhBDXC/UPf/jDH/wdRF0yGAz079+fKVOm8PDDD5OUlHRV5XXr1q2GIhP+Jtfy2iHX6voh1/LaJNft2nWhaxdwQ8ZCCCGEEKKqgHqoRAghhBBCVCcJoRBCCCFEgJOEUAghhBAiwElCKIQQQggR4CQhFEIIIYQIcJIQ/gerVq2ib9++/g5DXIG+ffvSrl27ap/Bgwdf0rmrVq2qgygF4Ls22dnZ1fZ98MEHtGvXjgULFvghMnG11q1bR7t27Xj33Xf9HYq4ALn/BEhCKK5zzzzzDF999VWVz/Lly/0dljgPg8HA1q1bq23fvHkziqL4ISJRE9atW0fLli1JTU31dyjiIuT+E5IQiutaaGgosbGxVT6RkZH+DkucR3JycrVfSDabjb1799KhQwc/RSWuRnFxMV999RWPPPIIR48e5YcffvB3SOIC5P4TkhBehr179/LAAw/QsWNHOnXqxPjx48nJyQFgzZo1jBo1ikWLFnHrrbfSuXNn5syZg9fr9XPU4kI++ugjUlJSSEpKYtSoURw4cKDK/mPHjjFs2DASExN56KGHsFgsfoo0MKSkpJCenk5paalv2/bt20lOTiYkJKTKsUuWLCElJYWEhAR69uzJG2+84ds3ZswYZs2aRf/+/enVqxeFhYV11gZR1RdffIHRaGTgwIHccMMNrFmzxrdvzJgxvPnmm4wePZqbb76ZUaNGcezYMd/+du3a8frrr3Prrbcybtw4P0QfWGri/tu/fz/t27cnLy/Pd+xPP/1Ehw4dKCgoqJuGiCsmCeElstlsTJ48mR49erBu3TreeecdLBYLf/3rX33HZGRkkJmZycqVK3nxxRd5//332blzpx+jFheydetW3njjDWbOnElqaiq9e/dm7Nix5Obm+o756KOPGD9+PKtXr8br9fL73//ejxFf/1q3bk3Tpk3ZsWOHb9uWLVvo169fleM++eQT3n33XebMmcOGDRuYNm0ab731VpWEfs2aNcydO5e33nqLqKioOmuDqOrTTz+ld+/e6PV6UlJSWLduHS6Xy7d/6dKl9O/fn9TUVBo1asTEiROpqKjw7d+yZQsrV67kueee80f4AaUm7r+OHTvStGlTNm7c6Dt+/fr1dO/enejo6Dpri7gykhBeovLyciZPnsy0adNo3rw5nTt3ZsCAAVX+j9btdjNr1izi4+O5++67+a//+i8yMjL8GLWYNWsWSUlJVT4FBQW8/fbbTJo0iX79+nHDDTfwP//zPyQkJFR5kGTkyJEMHjyYtm3b8sorr/Ddd99x9OhRP7bm+te3b1/fsJXL5eKrr74iJSWlyjFxcXHMnTuX7t2706xZM0aNGkVsbCw//vij75jevXuTnJxMYmJincYv/i0nJ4e0tDRfQjFgwACKiorYvn2775iePXsybtw4WrduzezZsykuLq7yP9EjRowgPj6eNm3a1Hn8gagm7r9BgwaxYcMG3/Gff/45gwYNqrtGiCum93cA14rY2FiGDRvGsmXLOHToEMeOHePIkSPcfPPNvmMiIyMJCwvzfQ8NDcXtdvsjXHHWI488wp133lllW0REBJmZmfz5z3+uMtTodDpp1KiR7/svk4lmzZr5zmvbtm3tBx6gUlJSmDp1Km63m927d3PjjTdW61m49dZb2b9/P/PnzyczM5NDhw6Rl5dXZXpG06ZN6zp08Svr169HVVX69OkDQMeOHWnYsCFr1671JYlJSUm+40NDQ2nVqhWZmZm+/XId61ZN3H9DhgxhyZIl5ObmUlxcTFZWFv379/dHc8RlkoTwV/Lz87FarcTHxwOgaRqqqpKTk8Pw4cNp3749PXv25P777+fLL78kPT3dd67BYKhWnqZpdRa7qC4qKoqWLVtW2+7xeJgxYwY9e/assj04ONj386+frPN6vee9xqLm3HLLLaiqSnp6Olu2bDnvL5JVq1bxv//7v9x7770MGDCAGTNm8Nvf/rbKMUajsa5CFhdwbni4W7duvm1er5cvv/ySoqIiAPT6qr+CPB5PlfvOZDLVTbACqJn778Ybb6Rt27Zs2rSJgoIC+vTpU6WjRNRfkhD+yjvvvMPRo0d55513ACgtLSUyMpJNmzYREhLC0qVLfccuX75cEr5rVKtWrThz5kyVZPGll16ia9euvuGNo0ePMnDgQABOnDiB1WqldevWfok3UOh0Om6//Xa2bt3Ktm3bWLFiRbVjPvjgA6ZMmcLkyZMBsFqtFBQUyL1Yj5w4cYKDBw8yc+ZMevTo4dt++vRpJk2axLp16wA4dOiQb19paSlZWVm0a9euzuMVlWrq/hs0aBBbt26lqKiIiRMn1ln84urIHMJfSU5OZs+ePXz99dccPnyYDz74gB49ehAREUFubi5ff/012dnZLFmyhC+++AKn0+nvkMUVeOihh1i+fDmpqalkZWWxaNEiVq9e7esZBnjvvffYuHEjhw8fZubMmfzmN7+hVatWfow6MKSkpLBq1SoiIiJo3rx5tf2RkZHs2rWLn376iYMHD4+AOFIAAAo6SURBVDJ9+nRcLpfci/XIunXraNCgAaNGjaJt27a+T58+fUhKSvKtSfj555+zZs0aMjMzee6554iLi6uSQIq6VxP33+DBg9mzZw8///wzv/nNb+oyfHEVpIfwV1JSUnj44YeZMWMGdrudO+64g8mTJ2M0GtmzZw9PPPEEUDm/bObMmSxYsACHw+HnqMXlGjhwIAUFBSxatIjc3Fzi4+P5y1/+Qvv27X3HjB8/noULF5KVlUWvXr2YPXu2HyMOHLfddhsej6fa043nPPvsszz33HMMGzaMyMhI7rrrLkJCQmSNu3rks88+Y/Dgwecd8h01ahRPP/00ERERDB48mFWrVvHyyy+TnJzMO++8I9My/Kwm7r8mTZrQoUMHmjdvjtlsrqvQxVVSNBlnEUIIUcfGjBnDLbfcwvTp0/0diqhhmqbRv39/XnjhBd9DRaL+kx5CIYQQQtSI7du3s2vXLrxeb7WH9kT9JgmhEEIIIWrEsmXLOHr0KK+99hqqqvo7HHEZZMhYCCGEECLAyVPGQgghhBABThJCIYQQQogAJwkhkJWVxZQpU+jSpQu9e/dm3rx5vhesnzx5kocffphOnTpx1113VXkPJ1SuVTdgwACSkpIYMWIE3333XZX9y5cvp3fv3iQlJTFz5kzsdnudtUsIIYQQ4lIEfELodDqZMmUKRqORDz/8kNdee43NmzezYMECNE1j6tSpRERE8I9//INhw4bx2GOPkZ2dDcAnn3zCG2+8wZNPPsnatWvp2rUrEyZMICcnB4AvvviC119/nZdeeon33nuPjIwM5s2b58/mCiGEEEJUE/APlaSlpTFu3Dj+9a9/ERISAsCnn37KvHnzeO2115g8eTLffPMNoaGhAIwbN46OHTsyffp0xo0bR2JiIk899ZSvvDvuuINx48YxatQoRo8eTXJysm+drbS0NB566CF2797tq0sIIYQQwt8CvocwPj6eJUuWVEnQFEXBarWyf/9+OnTo4EsGATp37sy+ffsAeOKJJ7j//vurlVlaWorH4yEjI4MuXbr4tnfq1AmPx1Pl/Z1CCCGEEP4W8OsQRkVFVXl3ptfrZcWKFfTo0YO8vDwaNmxY5fjo6GjOnDkDVCZ4v7Rjxw5OnDhB9+7dsVqtVFRUVDlfr9cTERHhO18IIYQQoj4I+B7CX5s7dy6HDh3id7/7HeXl5dXeq2k0GnG5XNXOO378ODNmzOCee+4hMTHR935jo9FY7fxfvgRcCCGEEMLfJCE8S9M05syZw8qVK5k/fz5t2rTBZDJVS/6cTme1l3UfPXqUMWPGEB8fz6xZswB8L3X/dfJ3vvOFEEIIIfxJEkIqh4mfffZZPvzwQxYsWEC/fv0AiIuLIy8vr8qx+fn5xMbG+r5nZGQwZswYWrVqxZIlS3yJYEREBCaTifz8fN+xbreb4uLiasPQQgghhBD+JAkhMG/ePD799FMWLlzIgAEDfNs7duzI4cOHq6wdmJ6e7ps7mJ2dzYQJE+jQoUO1B1N0Oh2JiYmkp6f7tu3btw9VVWnfvn0dtEoIIYQQ4tIE/EMl+/bt4+9//ztPPfUUCQkJVXoEu3btSpMmTXjmmWd49NFH2bZtG/v37+eVV14B4OWXXyY4OJhZs2Zhs9mw2WwABAcHExISwgMPPMDzzz9Pu3btaNy4MS+//DLDhw+XJWeEEEIIUa8E/DqEr776Ku++++55933//fecPHmS5557jv3799OiRQtmzpxJz549sdlsdO7c+bznTZkyxbf24JIlS1i2bBlOp5P+/fvz0ksvyRxCIYQQQtQrAZ8QCiGEEEIEOplDKIQQQggR4CQhFEIIIYQIcJIQCiGEEEIEOEkIhRBCCCECnCSEQgghhBABThJCIYQQQogAJwmhEEIIIUSAk4RQCCGEECLASUIohBBCCBHgJCEUQgghhAhwkhAKIYQQQgQ4SQiFEEIIIQKc3t8BCCHE9eSZZ54hNTW1yjaDwUB0dDRdu3Zl0qRJtGnT5orKLigoICgoiODg4JoIVQghfCQhFEKIWjBz5kwiIyMBKC8vJysri9WrV7Nx40aWLl1Kt27dLqu87du387vf/Y7U1FRJCIUQNU4SQiGEqAX9+vWjWbNmVbaNGTOG4cOH88QTT7B582ZCQkIuubwDBw5gtVprOkwhhABkDqEQQtSZxo0bM2PGDAoLC1m9erW/wxFCCB9JCIUQog7deeedGI1Gdu7cCYCmaXzwwQfce++9JCUlkZiYyJ133smSJUvQNA2onJe4aNEiAFJSUhgzZoyvvGPHjjFt2jSSk5Pp2LEjI0eO9JUthBCXSoaMhRCiDplMJlq0aMHhw4cBeP3111m8eDHDhg3j/vvvp6ysjLVr1zJ//nxCQkIYPXo0I0aMwGazsWnTJmbOnOl7KOXIkSM88MADxMTEMHnyZAwGA+vWrWPSpEnMnz+fgQMH+rOpQohriCSEQghRxxo0aEBWVhYul4sVK1YwaNAg5s2b59t/33330b17d3bu3Mno0aNJSkqiXbt2bNq0qcrcxDlz5hAVFVXlQZMHH3yQsWPH8sorr9CvXz+MRqNf2iiEuLbIkLEQQtQxt9uNoigYDAa++eYbZs2aVWV/UVERoaGh2O32C5ZRVFTEt99+S58+fXA4HBQWFlJYWIjVaqV///7k5+eTkZFR200RQlwnpIdQCCHqWHFxMVFRUUDlGoVffvklW7Zs4fjx4/z888+UlJQA+OYQnk92djYAy5cvZ/ny5ec95vTp0zUcuRDieiUJoRBC1CGbzUZ2dja33347mqYxdepUtm3bRufOnUlKSmLEiBF06dKFsWPHXrQcj8cDwOjRo+nXr995j7nxxhtrPH4hxPVJEkIhhKhDGzZsQNM0UlJSSEtLY9u2bUydOpXHH3/cd4zb7aa4uJjmzZtfsJymTZsCoKoqPXr0qLLv2LFjWCwWgoKCaqcRQojrjswhFEKIOpKbm8ubb75JXFwcQ4YMobi4GKjek/fxxx9TXl6O2+32bdPpKv+5PjeM3LBhQxISEkhNTSUnJ8d3nMvl4tlnn+Wxxx6rcr4QQlyM9BAKIUQt2Lx5s+/VdRUVFfz000+sXbuWiooKli5ditlsJikpidDQUObOncvJkycJDw/nX//6F+vXr8dkMlFWVuYr79ycw7fffpvevXuTkpLC888/z9ixYxk+fDijRo0iIiKCzz77jP379/PUU0/56hdCiP9E0S42a1kIIcRleeaZZ0hNTa2yzWAwEBcXR7du3Zg4cSKtWrXy7UtPT+e1117j8OHDGI1GWrVqxW9/+1sOHDjAe++9x44dO4iJicFqtfL444+TlpZGs2bN+PzzzwH4/vvvWbhwIWlpabjdbt/5w4YNq9N2CyGubZIQCiGEEEIEOJlDKIQQQggR4CQhFEIIIYQIcJIQCiGEEEIEOEkIhRBCCCECnCSEQgghhBABThJCIYQQQogAJwmhEEIIIUSAk4RQCCGEECLASUIohBBCCBHg/h+Sy3KKHymUUwAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# sort by percentage of trees in good health\n",
-    "days = df.groupby('date').sentiment.value_counts().unstack()\n",
-    "\n",
-    "# plot a stacked bar graph\n",
-    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
-    "#                    title = 'Tree Health Across Boroughs', \n",
-    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
-    "\n",
-    "p1.set_title('Sentiment Across Time', fontsize=20, pad=10)\n",
-    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
-    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
-    "p1.legend(['negative','neutral', 'positive'], facecolor='white', framealpha=1)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>sentiment</th>\n",
-       "      <th>negative</th>\n",
-       "      <th>neutral</th>\n",
-       "      <th>positive</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.692308</td>\n",
-       "      <td>0.054945</td>\n",
-       "      <td>0.252747</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>0.566879</td>\n",
-       "      <td>0.089172</td>\n",
-       "      <td>0.343949</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.602564</td>\n",
-       "      <td>0.108974</td>\n",
-       "      <td>0.288462</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.587097</td>\n",
-       "      <td>0.083871</td>\n",
-       "      <td>0.329032</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.500000</td>\n",
-       "      <td>0.097701</td>\n",
-       "      <td>0.402299</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-27</th>\n",
-       "      <td>0.425400</td>\n",
-       "      <td>0.180400</td>\n",
-       "      <td>0.394200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-28</th>\n",
-       "      <td>0.421400</td>\n",
-       "      <td>0.177800</td>\n",
-       "      <td>0.400800</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-29</th>\n",
-       "      <td>0.395200</td>\n",
-       "      <td>0.148600</td>\n",
-       "      <td>0.456200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-30</th>\n",
-       "      <td>0.431400</td>\n",
-       "      <td>0.149000</td>\n",
-       "      <td>0.419600</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-05-31</th>\n",
-       "      <td>0.431200</td>\n",
-       "      <td>0.141600</td>\n",
-       "      <td>0.427200</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>152 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "sentiment   negative   neutral  positive\n",
-       "date                                    \n",
-       "2020-01-01  0.692308  0.054945  0.252747\n",
-       "2020-01-02  0.566879  0.089172  0.343949\n",
-       "2020-01-03  0.602564  0.108974  0.288462\n",
-       "2020-01-04  0.587097  0.083871  0.329032\n",
-       "2020-01-05  0.500000  0.097701  0.402299\n",
-       "...              ...       ...       ...\n",
-       "2020-05-27  0.425400  0.180400  0.394200\n",
-       "2020-05-28  0.421400  0.177800  0.400800\n",
-       "2020-05-29  0.395200  0.148600  0.456200\n",
-       "2020-05-30  0.431400  0.149000  0.419600\n",
-       "2020-05-31  0.431200  0.141600  0.427200\n",
-       "\n",
-       "[152 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('date').sentiment.value_counts(normalize=True).unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stop_words = stopwords.words('english')\n",
-    "stop_words += ['mask', '#mask',\n",
-    "               'masks', '#masks',\n",
-    "               'face', '#face',\n",
-    "               'facemask', '#facemask',\n",
-    "               'facemasks', '#facemasks', \n",
-    "               'covid', '#covid',\n",
-    "               'covid19', '#covid19',\n",
-    "               'corona', '#corona',\n",
-    "               'coronavirus', '#coronavirus',\n",
-    "               'rona', '#rona',\n",
-    "               'virus', '#virus',\n",
-    "               'viral', '#viral',\n",
-    "               'viruses', '#viruses']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Apply text cleaning techniques\n",
-    "def clean_text(text, stop_words):\n",
-    "    '''Make text lowercase, remove mentions, remove links, convert emoticons/emojis to words, remove punctuation\n",
-    "    (except apostrophes), tokenize words (including contractions), convert contractions to full words,\n",
-    "    remove stop words.'''\n",
-    "    \n",
-    "    # make text lowercase\n",
-    "    text = text.lower() \n",
-    "    \n",
-    "    # remove mentions\n",
-    "    text = re.sub(\"(@[A-Za-z0-9]+)\", \"\", text)\n",
-    "    \n",
-    "    # remove links\n",
-    "    text = re.sub(r'http\\S+', '', text) \n",
-    "    text = re.sub(r'pic\\.\\S+', '', text)\n",
-    "    \n",
-    "    # convert emoticons\n",
-    "    emoticons = load_dict_emoticons()\n",
-    "    words = text.split()\n",
-    "    words_edit = [emoticons[word] if word in emoticons else word for word in words]\n",
-    "    tweet = ' '.join(words_edit)\n",
-    "\n",
-    "    # convert emojis\n",
-    "    text = emoji.demojize(text)\n",
-    "    text = text.replace(':', ' ') # separate emojis-words with space\n",
-    "    \n",
-    "    # remove punctuation\n",
-    "    text = text.replace('...', ' ') # special cases\n",
-    "    text = text.replace('-', ' ')\n",
-    "    text = text.translate(str.maketrans('', '', '!\"$%&*()+,./;<=>?@[\\\\]^_`{|}~')) \n",
-    "    \n",
-    "    # tokenize words\n",
-    "    tokenizer = RegexpTokenizer(\"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\")\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    \n",
-    "    # convert contractions\n",
-    "    contractions = load_dict_contractions()\n",
-    "    words = text.split()\n",
-    "    words_edit = [contractions[word] if word in contractions else word for word in words]\n",
-    "    text = ' '.join(words_edit)\n",
-    "\n",
-    "    # remove stop words\n",
-    "    words = tokenizer.tokenize(text)\n",
-    "    words = [word for word in words if word not in stop_words]\n",
-    "    text = ' '.join(words)\n",
-    "    \n",
-    "    return text"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 6min 19s, sys: 2.16 s, total: 6min 21s\n",
-      "Wall time: 6min 24s\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0                                                                                                                  death thomas unknown peasant died river\n",
-       "1                                                    ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
-       "2    know joke #ccpchina comes epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst us already dear fellow #hker...\n",
-       "3                                                                                                                            thought death gave horn freak\n",
-       "4                                                      interesting cult death wearing thinkingface electronically posing cia brennan chief facewithmonocle\n",
-       "5    see doctor stuff know war increased quality medical care hospitals start admitting patients even chemical attack doctor rushes spot gives intervie...\n",
-       "6                                                                     plague doctorgas combination sicknesspoison stuff good combination especially coming\n",
-       "7    thoughts cost nothing prayers half unlike costs firefighting equipment like hoses trucks aircraft least thoughts throwing prayers threaten preciou...\n",
-       "8                                                          killed mine miraceibel rosa death counted mining fatality record keeping deaths linked industry\n",
-       "9    also feel like scene phil another pointless addition particularly commenting ben deliberately chosen someone could clown engaged ben knew martin w...\n",
-       "Name: clean_tweet, dtype: object"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%time df['clean_tweet'] = df['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
-    "clean_tweets = df['clean_tweet']\n",
-    "clean_tweets.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "clean_tweets.to_pickle('Datasets/clean_tweets.pkl')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "clean_tweets.isna().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "clean_tweets = pd.read_pickle('Datasets/clean_tweets.pkl')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pattern = \"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\"\n",
-    "tokenizer = RegexpTokenizer(pattern)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>#a</th>\n",
-       "      <th>#a4</th>\n",
-       "      <th>#aa</th>\n",
-       "      <th>#aajtak</th>\n",
-       "      <th>#aapi</th>\n",
-       "      <th>#aarogyasetu</th>\n",
-       "      <th>#aarogyasetuapp</th>\n",
-       "      <th>#aarp</th>\n",
-       "      <th>#aatmanirbharbharat</th>\n",
-       "      <th>#ab</th>\n",
-       "      <th>...</th>\n",
-       "      <th>zsasz</th>\n",
-       "      <th>zucker</th>\n",
-       "      <th>zuckerberg</th>\n",
-       "      <th>zuma</th>\n",
-       "      <th>zurich</th>\n",
-       "      <th>zuzana</th>\n",
-       "      <th>zweli</th>\n",
-       "      <th>zy</th>\n",
-       "      <th>zyada</th>\n",
-       "      <th>zzz</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0</td>\n",
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-       "      <td>...</td>\n",
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-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
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-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 46067 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   #a  #a4  #aa  #aajtak  #aapi  #aarogyasetu  #aarogyasetuapp  #aarp  \\\n",
-       "0   0    0    0        0      0             0                0      0   \n",
-       "1   0    0    0        0      0             0                0      0   \n",
-       "2   0    0    0        0      0             0                0      0   \n",
-       "3   0    0    0        0      0             0                0      0   \n",
-       "4   0    0    0        0      0             0                0      0   \n",
-       "\n",
-       "   #aatmanirbharbharat  #ab  ...  zsasz  zucker  zuckerberg  zuma  zurich  \\\n",
-       "0                    0    0  ...      0       0           0     0       0   \n",
-       "1                    0    0  ...      0       0           0     0       0   \n",
-       "2                    0    0  ...      0       0           0     0       0   \n",
-       "3                    0    0  ...      0       0           0     0       0   \n",
-       "4                    0    0  ...      0       0           0     0       0   \n",
-       "\n",
-       "   zuzana  zweli  zy  zyada  zzz  \n",
-       "0       0      0   0      0    0  \n",
-       "1       0      0   0      0    0  \n",
-       "2       0      0   0      0    0  \n",
-       "3       0      0   0      0    0  \n",
-       "4       0      0   0      0    0  \n",
-       "\n",
-       "[5 rows x 46067 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer(min_df=5, token_pattern=pattern)\n",
-    "data_cv = cv.fit_transform(clean_tweets)\n",
-    "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_vec.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(575949, 46067)"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data_vec.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's pickle it for later use\n",
-    "data_vec.to_pickle(\"Datasets/vec.pkl\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_vec = pd.read_pickle(\"Datasets/vec.pkl\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_vec.sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-8-13cd52f9105f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtop_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mtop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mascending\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mtop_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2771\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2772\u001b[0m             \u001b[0;31m# shortcut if the key is in columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2773\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2774\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2775\u001b[0m                     \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
-   "source": [
-    "# Find the top 30 words said by each comedian\n",
-    "top_dict = {}\n",
-    "for c in test.columns:\n",
-    "    top = test[c].sort_values(ascending=False).head(30)\n",
-    "    top_dict[c]= list(zip(top.index, top.values))\n",
-    "\n",
-    "top_dict"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Look at the most common top words --> add them to the stop word list\n",
-    "from collections import Counter\n",
-    "\n",
-    "# Let's first pull out the top 30 words for each comedian\n",
-    "words = []\n",
-    "for comedian in test.columns:\n",
-    "    top = [word for (word, count) in top_dict[comedian]]\n",
-    "    for t in top:\n",
-    "        words.append(t)\n",
-    "        \n",
-    "words"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
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-   "source": []
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-  {
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-   "source": []
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-  {
-   "cell_type": "code",
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-   "source": []
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-   "cell_type": "code",
-   "execution_count": null,
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-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 256,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    2020-01-01\n",
-       "0    2020-02-01\n",
-       "0    2020-03-01\n",
-       "0    2020-04-01\n",
-       "Name: date, dtype: object"
-      ]
-     },
-     "execution_count": 256,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['date'][0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 221,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>155000.000000</td>\n",
-       "      <td>155000.000000</td>\n",
-       "      <td>155000.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>14.591948</td>\n",
-       "      <td>1.282916</td>\n",
-       "      <td>4.496426</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>1108.467257</td>\n",
-       "      <td>33.923692</td>\n",
-       "      <td>338.266606</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>349204.000000</td>\n",
-       "      <td>7955.000000</td>\n",
-       "      <td>121056.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              nlikes       nreplies      nretweets\n",
-       "count  155000.000000  155000.000000  155000.000000\n",
-       "mean       14.591948       1.282916       4.496426\n",
-       "std      1108.467257      33.923692     338.266606\n",
-       "min         0.000000       0.000000       0.000000\n",
-       "25%         0.000000       0.000000       0.000000\n",
-       "50%         0.000000       0.000000       0.000000\n",
-       "75%         2.000000       1.000000       0.000000\n",
-       "max    349204.000000    7955.000000  121056.000000"
-      ]
-     },
-     "execution_count": 221,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "may[['nlikes','nreplies','nretweets']].describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 126,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('Using', 'VBG'), ('the', 'DT'), ('coverage', 'NN'), ('of', 'IN'), ('his', 'PRP$'), ('yellow', 'JJ'), ('card', 'NN'), ('to', 'TO'), ('mask', 'VB'), ('the', 'DT'), ('fact', 'NN'), ('his', 'PRP$'), ('team', 'NN'), ('lost', 'VBD'), ('to', 'TO'), ('Southampton', 'NNP'), ('ClassicJose', 'NNP'), ('CoverUp', 'NNP')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "pos = TextBlob(tweets[2])\n",
-    "print(pos.tags)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 122,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "('masks', 'NNS')\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tag in pos.tags:\n",
-    "    if 'mask' in tag[0]:\n",
-    "        print(tag)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 115,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('.My', 'NN'), ('daughter', 'NN'), ('has', 'VBZ'), ('been', 'VBN'), ('sick', 'VBN'), ('with', 'IN'), ('a', 'DT'), ('nasty', 'JJ'), ('cough', 'NN'), ('for', 'IN'), ('weeks', 'NNS'), ('She', 'PRP'), ('ignores', 'VBZ'), ('my', 'PRP$'), ('advice', 'NN'), ('about', 'IN'), ('wearing', 'VBG'), ('a', 'DT'), ('mask', 'NN'), ('Can', 'NNP'), ('any', 'DT'), ('Drs', 'NNP'), ('out', 'IN'), ('there', 'RB'), ('please', 'VB'), ('tweet', 'NN'), ('about', 'IN'), ('the', 'DT'), ('health', 'NN'), ('impacts', 'NNS'), ('of', 'IN'), ('breathing', 'VBG'), ('this', 'DT'), ('toxic', 'NN'), ('air', 'NN'), ('even', 'RB'), ('when', 'WRB'), ('it', 'PRP'), (\"'s\", 'VBZ'), ('not', 'RB'), ('smelling', 'JJ'), ('strongly', 'RB'), ('of', 'IN'), ('smoke', 'NN'), ('so', 'IN'), ('that', 'IN'), ('I', 'PRP'), ('can', 'MD'), ('show', 'VB'), ('her', 'PRP$'), ('I', 'PRP'), ('am', 'VBP'), ('not', 'RB'), ('full', 'JJ'), ('of', 'IN'), ('shit', 'NN')]\n",
-      "[('😺✏', 'NN'), ('—', 'NNP'), ('Aside', 'NNP'), ('from', 'IN'), ('butt', 'NN'), ('masks', 'NNS'), ('yes', 'UH'), ('those', 'DT'), ('exist', 'VBP'), ('I', 'PRP'), ('found', 'VBD'), ('out', 'RB'), ('recently', 'RB'), ('and', 'CC'), ('lotions', 'NNS'), ('and', 'CC'), ('so', 'RB'), ('forth', 'JJ'), ('to', 'TO'), ('condition', 'VB'), ('the', 'DT'), ('skin', 'NN'), ('here', 'RB'), (\"'s\", 'POS'), ('my', 'PRP$'), ('1…', 'CD'), ('https', 'NN'), ('//curiouscat.me/EricaLScott/post/1038934596', 'NN'), ('t=1577923159', 'NN'), ('…', 'NN')]\n",
-      "[('y', 'NN'), ('’', 'VBZ'), ('all', 'DT'), ('her', 'PRP$'), ('energy', 'NN'), ('is', 'VBZ'), ('something', 'NN'), ('ELSE', 'RB'), ('y', 'JJ'), ('’', 'NNP'), ('all', 'DT'), ('post', 'NN'), ('4', 'CD'), ('pics', 'NNS'), ('of', 'IN'), ('the', 'DT'), ('most', 'RBS'), ('generic', 'JJ'), ('lookin', 'JJ'), ('ass', 'NN'), ('white', 'JJ'), ('skinny', 'JJ'), ('girl', 'NN'), ('eating', 'VBG'), ('a', 'DT'), ('tomato', 'NN'), ('w', 'NN'), ('a', 'DT'), ('face', 'NN'), ('mask', 'NN'), ('on', 'IN')]\n",
-      "[('We', 'PRP'), ('all', 'DT'), ('have', 'VBP'), ('some', 'DT'), ('kind', 'NN'), ('of', 'IN'), ('mask', 'NN'), ('Just', 'RB'), ('how', 'WRB'), ('much', 'JJ'), ('of', 'IN'), ('one', 'CD'), ('That', 'DT'), ('’', 'VBP'), ('s', 'JJ'), ('different', 'JJ'), ('for', 'IN'), ('each', 'DT'), ('of', 'IN'), ('us', 'PRP'), ('pic.twitter.com/BkoMZ98rlo', 'NN')]\n",
-      "[('The', 'DT'), ('market', 'NN'), ('has', 'VBZ'), ('moved', 'VBN'), ('on', 'IN'), ('Was', 'NNP'), ('given', 'VBN'), ('a', 'DT'), ('detox', 'JJ'), ('scalp', 'NN'), ('mask', 'NN'), ('And', 'CC'), ('since', 'IN'), ('it', 'PRP'), ('promised', 'VBD'), ('deep', 'JJ'), ('action', 'NN'), ('I', 'PRP'), ('can', 'MD'), ('only', 'RB'), ('assume', 'VB'), ('that', 'IN'), ('the', 'DT'), ('giver', 'NN'), ('wanted', 'VBD'), ('to', 'TO'), ('imply', 'VB'), ('that', 'IN'), ('my', 'PRP$'), ('brain', 'NN'), ('needs', 'VBZ'), ('a', 'DT'), ('detox', 'NN')]\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in tweets[5:10]:\n",
-    "    pos = TextBlob(tweet)\n",
-    "    print(pos.tags)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 128,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(6480, 10)"
-      ]
-     },
-     "execution_count": 128,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 130,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "      <th>pos</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>VB</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "      <td>VB</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
-       "\n",
-       "   subjectivity pos  \n",
-       "0      0.288889  NN  \n",
-       "1      0.425000  NN  \n",
-       "2      0.000000  VB  \n",
-       "3      0.000000  NN  \n",
-       "4      0.648409  VB  "
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks['pos'] = masks['tweet'].apply(mask_pos_finder)\n",
-    "masks.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "NN     0.541166\n",
-       "NNS    0.384220\n",
-       "JJ     0.027616\n",
-       "VB     0.022642\n",
-       "VBZ    0.007547\n",
-       "VBP    0.004974\n",
-       "VBN    0.003602\n",
-       "VBD    0.002916\n",
-       "NNP    0.001715\n",
-       "SYM    0.000858\n",
-       "VBG    0.000686\n",
-       "FW     0.000686\n",
-       "RB     0.000515\n",
-       "PRP    0.000343\n",
-       "IN     0.000343\n",
-       "JJR    0.000172\n",
-       "Name: pos, dtype: float64"
-      ]
-     },
-     "execution_count": 133,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.pos.value_counts(normalize=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 231,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1. Get a wrist brace for the carpal tunnel\n",
-      "2. Take a pill for the prostate\n",
-      "3. Get breathe rite strips\n",
-      "4. Get wife apnea mask\n",
-      "5. Take cover until november than vote the orange man out.\n",
-      "Lil bruh said fuck it mask off\n",
-      "Mask on? Fuck it mask off!  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "Boi said fuck it mask off 😂  https://twitter.com/youLoveBk_/status/1216918239202152449 …\n",
-      "\"fuck it, mask off\"\n",
-      "Woah...mask off Bear...  pic.twitter.com/XaSsj9UbZT\n",
-      "1) The photo of the three masked man on the train. It's supposed to be a carnival mask, not a containing mask. \n",
-      "2) There are no cases reporter on Friuli-Venezia Giulia. I know because I'm from Friuli.\n",
-      "\n",
-      "Don't spread fake news, thanks. \n",
-      "People is already scared...\n",
-      "Pop smoke dior\n",
-      "Drake war\n",
-      "Futur mask off\n",
-      "fuck it mask off\n",
-      "Fuck it mask off\n",
-      "They really just said \"fuck it mask off\"\n",
-      "Only fck wit rich niggas fck it mask off\n",
-      "Mask on 😷😷\n",
-      "Fuck it mask off 😶😶 type shit\n",
-      "Never gonna stop, give it up, such dirty hands\n",
-      "I always mask it up, for the touch of the dumber kind\n",
-      "My, my, my, aye-aye, whoa!\n",
-      "M-m-m-my carona\n",
-      "fuck it mask off\n",
-      "When out on Thursday masked up, surprised at amount of masks & that was just locally\n",
-      "This idiot really came up to the counter at the PHARMACY, mask off saying there’s no sign saying he needs to wear it. At the PHARMACY\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in masks[masks.pos == 'VBD']['tweet']:\n",
-    "    print(tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 288,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0      spongebob slides sand mountain tree oxygen mask\n",
-       "1    started freshly washed bed sheets face mask be...\n",
-       "2    using coverage yellow card mask fact team lost...\n",
-       "3                                                 mask\n",
-       "4    know mean depressed mask pain let others happy...\n",
-       "5    daughter sick nasty cough weeks ignores advice...\n",
-       "6    grinningcatface pencil aside butt masks yes ex...\n",
-       "7    energy something else post pics generic lookin...\n",
-       "8                      kind mask much one different us\n",
-       "9    market moved given detox scalp mask since prom...\n",
-       "Name: clean_tweet, dtype: object"
-      ]
-     },
-     "execution_count": 288,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks['clean_tweet'] = masks['tweet'].apply(lambda x: clean_text(x))\n",
-    "masks_cleaned = masks['clean_tweet']\n",
-    "masks_cleaned.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 290,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "<p>5 rows × 15034 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a1  a7  a8  aa  aaaaaaand  aaaandhe  aaah  aama  aap  aarons  ...  zoro  \\\n",
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-       "\n",
-       "   zvanetsa  \n",
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-       "2         0  \n",
-       "3         0  \n",
-       "4         0  \n",
-       "\n",
-       "[5 rows x 15034 columns]"
-      ]
-     },
-     "execution_count": 290,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks_cleaned)\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 292,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
-    "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
-    "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
-    "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 294,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[(0,\n",
-       "  '0.053*\"masks\" + 0.019*\"people\" + 0.019*\"mask\" + 0.015*\"wear\" + 0.011*\"wearing\" + 0.006*\"face\" + 0.006*\"virus\" + 0.006*\"need\" + 0.006*\"please\" + 0.006*\"social\"'),\n",
-       " (1,\n",
-       "  '0.053*\"mask\" + 0.027*\"wear\" + 0.019*\"masks\" + 0.015*\"face\" + 0.007*\"hands\" + 0.006*\"stay\" + 0.006*\"gas\" + 0.006*\"safe\" + 0.005*\"take\" + 0.004*\"people\"'),\n",
-       " (2,\n",
-       "  '0.036*\"mask\" + 0.017*\"masks\" + 0.012*\"covid\" + 0.006*\"face\" + 0.005*\"distance\" + 0.004*\"president\" + 0.003*\"citizens\" + 0.003*\"covid19\" + 0.003*\"via\" + 0.002*\"trump\"'),\n",
-       " (3,\n",
-       "  '0.033*\"masks\" + 0.024*\"mask\" + 0.012*\"facewithtearsofjoy\" + 0.012*\"wearing\" + 0.011*\"like\" + 0.008*\"get\" + 0.006*\"face\" + 0.006*\"one\" + 0.005*\"even\" + 0.004*\"shit\"'),\n",
-       " (4,\n",
-       "  '0.073*\"mask\" + 0.017*\"wearing\" + 0.014*\"face\" + 0.011*\"like\" + 0.009*\"one\" + 0.007*\"see\" + 0.006*\"people\" + 0.005*\"time\" + 0.005*\"black\" + 0.005*\"would\"')]"
-      ]
-     },
-     "execution_count": 294,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
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-       "      <th>nreplies</th>\n",
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-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1256720837660545024</td>\n",
-       "      <td>1256715090545512449</td>\n",
-       "      <td>1588460571000</td>\n",
-       "      <td>2020-05-02</td>\n",
-       "      <td>Coronavirus-Did the US just supply a million f...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>263966773</td>\n",
-       "      <td>modernactivism</td>\n",
-       "      <td>Modern Activism</td>\n",
-       "      <td>https://twitter.com/modernactivism/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '263966773', 'username': 'moderna...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1256372751314685953</td>\n",
-       "      <td>1256015002651299847</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Absolutely. Most successful countries address ...</td>\n",
-       "      <td>['#coronavirus', '#covid__19', '#masks']</td>\n",
-       "      <td>839786785</td>\n",
-       "      <td>RealRandyCohen</td>\n",
-       "      <td>ARJAY</td>\n",
-       "      <td>https://twitter.com/RealRandyCohen/status/1256...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '839786785', 'username': 'RealRan...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1256372749720645632</td>\n",
-       "      <td>1588377580000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Bhubaneswar: Transgenders sew and distribute m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1210423564052004865</td>\n",
-       "      <td>RSRINIVASABABU1</td>\n",
-       "      <td>R SRINIVASA BABU</td>\n",
-       "      <td>https://twitter.com/RSRINIVASABABU1/status/125...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1210423564052004865', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1256372718452248576</td>\n",
-       "      <td>1588377573000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...</td>\n",
-       "      <td>['#covid__19', '#mask', '#wearamask', '#hack',...</td>\n",
-       "      <td>39323281</td>\n",
-       "      <td>themamamaven</td>\n",
-       "      <td>Nancy Johnson Horn</td>\n",
-       "      <td>https://twitter.com/themamamaven/status/125637...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>10</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '39323281', 'username': 'themamam...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1256372709660884992</td>\n",
-       "      <td>1256351905095221248</td>\n",
-       "      <td>1588377570000</td>\n",
-       "      <td>2020-05-01</td>\n",
-       "      <td>I only sneak out every 4 days or so for grocer...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2284107283</td>\n",
-       "      <td>NolandTt</td>\n",
-       "      <td>Tom Noland</td>\n",
-       "      <td>https://twitter.com/NolandTt/status/1256372709...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2284107283', 'username': 'Noland...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50377</th>\n",
-       "      <td>1257684042209800193</td>\n",
-       "      <td>1257684042209800193</td>\n",
-       "      <td>1588690216000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>\"Clutches have been awesome during #coronaviru...</td>\n",
-       "      <td>['#coronavirus']</td>\n",
-       "      <td>43413162</td>\n",
-       "      <td>ThirstiesInc</td>\n",
-       "      <td>Thirsties Inc</td>\n",
-       "      <td>https://twitter.com/ThirstiesInc/status/125768...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '43413162', 'username': 'Thirstie...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50379</th>\n",
-       "      <td>1257683998983282689</td>\n",
-       "      <td>1257683998983282689</td>\n",
-       "      <td>1588690206000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>As President Trump attempts to project an imag...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>14915067</td>\n",
-       "      <td>witfnews</td>\n",
-       "      <td>WITF news</td>\n",
-       "      <td>https://twitter.com/witfnews/status/1257683998...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '14915067', 'username': 'witfnews'}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50381</th>\n",
-       "      <td>1257683985439821825</td>\n",
-       "      <td>1257683985439821825</td>\n",
-       "      <td>1588690203000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>Coronavirus, face masks and America's new faul...</td>\n",
-       "      <td>['#covid19', '#onevoice1', '#voteblue2020', '#...</td>\n",
-       "      <td>218949823</td>\n",
-       "      <td>Hellacort</td>\n",
-       "      <td>David Hilycord</td>\n",
-       "      <td>https://twitter.com/Hellacort/status/125768398...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>11</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '218949823', 'username': 'Hellaco...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50382</th>\n",
-       "      <td>1257683964254466049</td>\n",
-       "      <td>1257683964254466049</td>\n",
-       "      <td>1588690198000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>I’ve been saying this for weeks. Corona is in ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>146037421</td>\n",
-       "      <td>briandordevic</td>\n",
-       "      <td>Brian Dordevic 📲📷📈</td>\n",
-       "      <td>https://twitter.com/briandordevic/status/12576...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>https://twitter.com/arabbitorduck/status/12576...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '146037421', 'username': 'briando...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50383</th>\n",
-       "      <td>1257683935116627968</td>\n",
-       "      <td>1257619031588319234</td>\n",
-       "      <td>1588690191000</td>\n",
-       "      <td>2020-05-05</td>\n",
-       "      <td>@Koning_NL It appears, still the only people w...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>757353589966827522</td>\n",
-       "      <td>HRH_LUCY_NL</td>\n",
-       "      <td>HRH Princess Lucy</td>\n",
-       "      <td>https://twitter.com/HRH_LUCY_NL/status/1257683...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '757353589966827522', 'username':...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>25000 rows × 17 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                        id      conversation_id     created_at        date  \\\n",
-       "4      1256720837660545024  1256715090545512449  1588460571000  2020-05-02   \n",
-       "22     1256372751314685953  1256015002651299847  1588377580000  2020-05-01   \n",
-       "23     1256372749720645632  1256372749720645632  1588377580000  2020-05-01   \n",
-       "24     1256372718452248576  1256372718452248576  1588377573000  2020-05-01   \n",
-       "26     1256372709660884992  1256351905095221248  1588377570000  2020-05-01   \n",
-       "...                    ...                  ...            ...         ...   \n",
-       "50377  1257684042209800193  1257684042209800193  1588690216000  2020-05-05   \n",
-       "50379  1257683998983282689  1257683998983282689  1588690206000  2020-05-05   \n",
-       "50381  1257683985439821825  1257683985439821825  1588690203000  2020-05-05   \n",
-       "50382  1257683964254466049  1257683964254466049  1588690198000  2020-05-05   \n",
-       "50383  1257683935116627968  1257619031588319234  1588690191000  2020-05-05   \n",
-       "\n",
-       "                                                   tweet  \\\n",
-       "4      Coronavirus-Did the US just supply a million f...   \n",
-       "22     Absolutely. Most successful countries address ...   \n",
-       "23     Bhubaneswar: Transgenders sew and distribute m...   \n",
-       "24     Mask 😷 Hack! #COVID__19 #mask #WearAMask #hack...   \n",
-       "26     I only sneak out every 4 days or so for grocer...   \n",
-       "...                                                  ...   \n",
-       "50377  \"Clutches have been awesome during #coronaviru...   \n",
-       "50379  As President Trump attempts to project an imag...   \n",
-       "50381  Coronavirus, face masks and America's new faul...   \n",
-       "50382  I’ve been saying this for weeks. Corona is in ...   \n",
-       "50383  @Koning_NL It appears, still the only people w...   \n",
-       "\n",
-       "                                                hashtags              user_id  \\\n",
-       "4                                                     []            263966773   \n",
-       "22              ['#coronavirus', '#covid__19', '#masks']            839786785   \n",
-       "23                                                    []  1210423564052004865   \n",
-       "24     ['#covid__19', '#mask', '#wearamask', '#hack',...             39323281   \n",
-       "26                                                    []           2284107283   \n",
-       "...                                                  ...                  ...   \n",
-       "50377                                   ['#coronavirus']             43413162   \n",
-       "50379                                                 []             14915067   \n",
-       "50381  ['#covid19', '#onevoice1', '#voteblue2020', '#...            218949823   \n",
-       "50382                                                 []            146037421   \n",
-       "50383                                                 []   757353589966827522   \n",
-       "\n",
-       "              username                name  \\\n",
-       "4       modernactivism     Modern Activism   \n",
-       "22      RealRandyCohen               ARJAY   \n",
-       "23     RSRINIVASABABU1    R SRINIVASA BABU   \n",
-       "24        themamamaven  Nancy Johnson Horn   \n",
-       "26            NolandTt          Tom Noland   \n",
-       "...                ...                 ...   \n",
-       "50377     ThirstiesInc       Thirsties Inc   \n",
-       "50379         witfnews           WITF news   \n",
-       "50381        Hellacort      David Hilycord   \n",
-       "50382    briandordevic  Brian Dordevic 📲📷📈   \n",
-       "50383      HRH_LUCY_NL   HRH Princess Lucy   \n",
-       "\n",
-       "                                                    link  retweet  nlikes  \\\n",
-       "4      https://twitter.com/modernactivism/status/1256...    False       0   \n",
-       "22     https://twitter.com/RealRandyCohen/status/1256...    False       0   \n",
-       "23     https://twitter.com/RSRINIVASABABU1/status/125...    False       0   \n",
-       "24     https://twitter.com/themamamaven/status/125637...    False      10   \n",
-       "26     https://twitter.com/NolandTt/status/1256372709...    False       1   \n",
-       "...                                                  ...      ...     ...   \n",
-       "50377  https://twitter.com/ThirstiesInc/status/125768...    False       1   \n",
-       "50379  https://twitter.com/witfnews/status/1257683998...    False       0   \n",
-       "50381  https://twitter.com/Hellacort/status/125768398...    False      11   \n",
-       "50382  https://twitter.com/briandordevic/status/12576...    False       2   \n",
-       "50383  https://twitter.com/HRH_LUCY_NL/status/1257683...    False       0   \n",
-       "\n",
-       "       nreplies  nretweets                                          quote_url  \\\n",
-       "4             0          0                                                NaN   \n",
-       "22            0          0                                                NaN   \n",
-       "23            0          0                                                NaN   \n",
-       "24            1          9                                                NaN   \n",
-       "26            0          0                                                NaN   \n",
-       "...         ...        ...                                                ...   \n",
-       "50377         0          0                                                NaN   \n",
-       "50379         0          0                                                NaN   \n",
-       "50381         1          8                                                NaN   \n",
-       "50382         1          1  https://twitter.com/arabbitorduck/status/12576...   \n",
-       "50383         0          0                                                NaN   \n",
-       "\n",
-       "       retweet_id                                           reply_to  \n",
-       "4             NaN  [{'user_id': '263966773', 'username': 'moderna...  \n",
-       "22            NaN  [{'user_id': '839786785', 'username': 'RealRan...  \n",
-       "23            NaN  [{'user_id': '1210423564052004865', 'username'...  \n",
-       "24            NaN  [{'user_id': '39323281', 'username': 'themamam...  \n",
-       "26            NaN  [{'user_id': '2284107283', 'username': 'Noland...  \n",
-       "...           ...                                                ...  \n",
-       "50377         NaN  [{'user_id': '43413162', 'username': 'Thirstie...  \n",
-       "50379         NaN  [{'user_id': '14915067', 'username': 'witfnews'}]  \n",
-       "50381         NaN  [{'user_id': '218949823', 'username': 'Hellaco...  \n",
-       "50382         NaN  [{'user_id': '146037421', 'username': 'briando...  \n",
-       "50383         NaN  [{'user_id': '757353589966827522', 'username':...  \n",
-       "\n",
-       "[25000 rows x 17 columns]"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_5k"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'SeriesGroupBy' object has no attribute 'str'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-11-4c60749f35e2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtweet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'corona'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/pandas/core/groupby/groupby.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    578\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    579\u001b[0m         raise AttributeError(\n\u001b[0;32m--> 580\u001b[0;31m             \u001b[0;34mf\"'{type(self).__name__}' object has no attribute '{attr}'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    581\u001b[0m         )\n\u001b[1;32m    582\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'SeriesGroupBy' object has no attribute 'str'"
-     ]
-    }
-   ],
-   "source": [
-    "test.groupby('date').tweet.str.contains('corona').value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "This corona shit really got niggas walking up too you like “excuse you got a extra mask they not letting me in the store” 😭😭😭😭😭😭😭😭😭😭😭\n",
-      "Face masks are going to be accessories .. like earrings and scarves.... and the luxury brands are going to cash in on it ! #fashionwins #luxurybrands #covid19  https://www.cnn.com/2020/04/14/business/louis-vuitton-face-masks/index.html …\n",
-      "my news feeds are invaded with ads for fancy masks with valves... that defeat the purpose of wearing a mask during a epidemic 🤯#maskup #COVID__19 https://www.fastcompany.com/90496717/what-is-a-mask-valve-and-why-are-cities-banning-them …\n",
-      "It’s staggering the amount of people outside without masks and not distancing in Toronto. This is how not to beat #COVID. I know it’s nice out, but you’ll be trapped inside a lot longer if you don’t follow simple rules.\n",
-      "Worried your cloth mask isn’t filtering coronavirus? This simple hack could make it more effective  https://www.fastcompany.com/90498270/worried-your-cloth-mask-isnt-filtering-coronavirus-this-simple-hack-could-make-it-more-effective …\n",
-      "This man is trying to prevent COVID-19 with leave because he those not have money to buy nose mask.  pic.twitter.com/dXVAIh3Dc8\n",
-      "Now that there is an ease on Lagos lockdown.\n",
-      "\n",
-      "Lagosians, kindly be conscious of your movements and remember to wear your nose masks!\n",
-      "\n",
-      "#besafe #lagoslockdown #Ncdc #COVID__19\n",
-      "Hi lovelies,I've got unisex protective face shield available on pre-order, it comes wiv an ankara face mask, also available are other covid-19 essentials lyk disposable gloves, hand sanitizer& effervescent vit.C. Let's stay prepared, let's stay safe. Kindly place ur orders.Tnk U.  pic.twitter.com/Uw6HwPeKAW\n",
-      "nurse who gets covid patients, plus, masks aren't mandatory anymore??? literally i'm just-\n",
-      "You better believe it's dangerous! I have a friend on Facebook & she said It has already happened to some who were protesting with no mask, or social distancing & their face was planted on Facebook & they passed! This Covid-19 is NO JOKE!\n",
-      "Remember to wear your mask  pic.twitter.com/1reQMznqGM\n",
-      "No vest no PPE no protective foot wear no gloves pls really but yet look at him while out during Corona19 but yet they didn’t let us wear masks for mnths\n",
-      "It’s really good to see stores opening up and people really listing to @GavinNewsom . They are all 6 feet away or more, with masks and I couldn’t be more excited to see all the small shops back up and running.  Love you 😍 #Sandiego #CelebsForSmallBiz pic.twitter.com/tudDcKHXkx\n",
-      "No reason to compromise CULTURE (principles) over government orders & while the world is going through a transition 🙌🏾 Looking for that 1 or 2 CARIBBEAN face masks U can sport proudly in any environment or…  https://www.instagram.com/p/B_tATrCnW15/?igshid=1osoulex2a8wm …\n",
-      "And you can say that definitively? Also, wouldn't you rather the government held off spending money on cheap masks so they can afford to buy high quality masks when they become available? Instead of having a pick n mix of cheap and expensive?\n",
-      "People here in the midwest aren't any better. Every place is packed to the point that Target had a huge line and barely anyone was wearing masks.\n",
-      "\n",
-      "And as far as money goes, 13,000 people will be evicted on May 13th due to the job losses, and that's just in one county. And I'm-\n",
-      "That i agree with also just within the means of social distancing & wearing masks. These people act as if this whole thing is a hoax. 150+ countries wouldnt be pulling this off therewould have been numerous  whistel blowers if it was fake\n",
-      "Ah Grand papa Reggie 😂😂...who dey sit ein car inside plus am wey he dey wear nose mask nu ? 😂😂.. \n",
-      "\n",
-      "He sanso dey sell waakye as thanks you message 😂😂🔥🔥..Goat 💉\n",
-      "God the inside of the eye looks like a fuckin rubber mask\n",
-      "mask: on\n",
-      "me: horny \n",
-      "@breanna_gar i’m GEEEEKING rn 😂\n",
-      "Talk about the face mask 😹😹😹\n",
-      "The single best leader on coronavirus this week Get You Mask and Covers Here!  http://COOLFACEMASKS.vuhere.com  #COVID__19 #covid19 #n95 #mask #coronavirus #trump #DeltaAirLines #AmericanAirlines #UnitedAirlines #airlines pic.twitter.com/Hc8YlkKHYQ\n",
-      "@GovLarryHogan if you decide to reopen Maryland, PLEASE enforce masks. \n",
-      "\n",
-      "These other governors are putting the entire country at risk. This is frightening. We're scared. \n",
-      "\n",
-      "We're all connected so you too DC & VA. Please be cohesive in decision-making \n",
-      "@MayorBowser @GovernorVA\n",
-      "Was just out earlier picking up takeout. Didn't see a single person wearing a mask besides me.\n",
-      "Oh my god.  No masks?  Brian.  What do we do.  They are not wearing masks.\n",
-      "oh well lol no mask here either .. ever... \n",
-      "\n",
-      "Looks cannot hurt to much so your gonna be ok lol ';-)\n",
-      "Grateful that my neighborhood smells really really good even through a mask\n",
-      "Throwback to working on Derby Day lat year on this would be Derby Day! But, stay inside, if you do go out wear your mask and social distance! We will see you soon, Derby! See you on September 5th!🏇  pic.twitter.com/qQqumsGfxD\n",
-      "It’s not even about being outside for me, I get it. But NO ONE has a mask? Not ONE person?\n",
-      "PJ Masks Season 2 full episodes WOLFIE KIDS - PJ Masks Season 2 - Cartoo...  https://youtu.be/NXvQ9YK_HKg  via @YouTube\n",
-      "NOW they care? Typical Republican behavior:\n",
-      "Against govnt assistance, until they lose their job.\n",
-      "Against federal aid, until that hurricane hits.\n",
-      "Against womens' right to choose, until someone makes them wear a mask.\n",
-      "#VoteBlueToCleanUpThisCrapAgain\n",
-      "A member of the local MENSA chapter informed me that, because I was wearing a facemask while biking, I was \"going to die really quickly because [I was] breathing in [my] own toxins.\"\n",
-      "\n",
-      "Was going too fast to check her credentials as an epidemiologist, but she seemed REAL confident.\n",
-      "Check out what I just added to my closet on Poshmark: Masks w/valves.  https://poshmark.com/listing/5e978ccc7f80d2b8eeb88a23?utm_campaign=referral_code%3DJCCO2020&utm_source=tw_sh&utm_content=feature%3Dsh_li_el_ios%26rfuid%3Dext1%3Acd6d40ad-4284-404b-9f82-eb918e46413b%26ext_trk%3Dbranch … via @poshmarkapp #shopmycloset\n",
-      "cops breaking up white people who aren't wearing masks and aren't separted at all from one another while they disingenuously do the 7pm clap is why i exist\n",
-      "I won't be doing business with anyone who requires a mask either.  https://twitter.com/Matthew_4_Trump/status/1256710744755732480 …\n",
-      "Just see the episode and now read your review. Finally, Bozer seems to be the only one not to be affected by all that is woven around, by the borders which become blurred, by this game of masks. Even Matty with her experience doubts! Crazy world,\n",
-      "Thanks to the mask I have to wear, I get to smell my own nostrils all day! What a treat\n",
-      "Tried parking lot deliver. Got there they said go inside. Oops no mask. No order. Already paid. Good reason to not bother with this food place. Total pain.\n",
-      "I am just glad the mask covers up her but ugly face.\n",
-      "Bro the facemasks make me fog up my glasses any time i breathe, like guess I'll die\n",
-      "Well here we are, the worst two days of our pandemic. Over 5000 deaths on May 1st and 2nd. How very sad!\n",
-      "Then I turned on the TV and saw thousands of ppl in malls, beaches, barbershops, tattoo parlors etc. with out masks on.\n",
-      "When will it sink in? This is deadly serious.\n",
-      "As has been said many times, the mask protects others, not the wearer.  So she's not saying, \"I don't care if I die.\" She's saying, \"I don't care if you die.\"\n",
-      "Coronavirus: Spain makes masks compulsory on public transport  https://www.bbc.co.uk/news/world-europe-52513516 …\n",
-      "Sad. Prospect Park in Brooklyn had a lot of people today, but 80% in masks and pretty good distancing. But everyone here knows someone badly sick or dead by now. Everyone wants to learn the hard way.  https://twitter.com/CharlieGileNBC/status/1256642854044209152 …\n",
-      "Another fake video? Nobody is wearing face mask thou🤔\n",
-      "It is really disturbing to see people on the street not following social distancing rules or wearing a mask. BUT everyone at the grocery store I went to just now was wearing a mask so there's progress (the last time I went to a grocery store, that wasn't the case).\n",
-      "Still so stupid that the league really said LeBron couldn’t wear a black mask... Lol. Who cares\n",
-      "It’s bonkers isn’t - our Gvt’s medical advisors assured the UK public many times over the last few weeks that the wearing of masks was not necessary or needed - even tho other countries were advising otherwise 🙈\n",
-      "Went fo a long bike ride today on a popular bike trail. Busiest I’ve seen since lockdown. Only about 10% wearing any kind of mask. Many large family groups.  https://twitter.com/NateSilver538/status/1256716713007239168 …\n",
-      "Mask in 50 degree weather was one thing...today’s errand running was a little tougher! ☀️🔥💨  pic.twitter.com/RM3NFPIYe6\n"
-     ]
-    }
-   ],
-   "source": [
-    "for tweet in test.tweet[50:100]:\n",
-    "    print(tweet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.212523e+18</td>\n",
-       "      <td>1.577923e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>https://mltshp.com/p/1HLSB  \"This is the deat...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>8.431951e+17</td>\n",
-       "      <td>Best_of_MLTSHP</td>\n",
-       "      <td>MLTSHP</td>\n",
-       "      <td>https://twitter.com/Best_of_MLTSHP/status/1212...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '843195118924546048', 'username':...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Ready to heard this? Homemade hair treatment a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.044739e+18</td>\n",
-       "      <td>lumora_lu</td>\n",
-       "      <td>MiLu</td>\n",
-       "      <td>https://twitter.com/lumora_lu/status/121251804...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1044738746913034241', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.212518e+18</td>\n",
-       "      <td>1.577922e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>We all know what a joke #CCPChina is when it c...</td>\n",
-       "      <td>['#ccpchina', '#sars', '#hk', '#hkers']</td>\n",
-       "      <td>9.630325e+17</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>odiecher</td>\n",
-       "      <td>https://twitter.com/odiecher/status/1212517557...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>https://twitter.com/WBYeats1865/status/1212430...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '963032516759207936', 'username':...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.212516e+18</td>\n",
-       "      <td>1.200523e+18</td>\n",
-       "      <td>1.577921e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Thought death masks gave you the horn freak</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.819219e+09</td>\n",
-       "      <td>Hevysmoker</td>\n",
-       "      <td>Ashley Collins</td>\n",
-       "      <td>https://twitter.com/Hevysmoker/status/12125155...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2819219369', 'username': 'Hevysm...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.212510e+18</td>\n",
-       "      <td>1.212391e+18</td>\n",
-       "      <td>1.577920e+12</td>\n",
-       "      <td>2020-01-01</td>\n",
-       "      <td>Interesting cult of death mask he’s wearing, 🤔...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.361956e+08</td>\n",
-       "      <td>FaithR8s</td>\n",
-       "      <td>❌Patriot Fan🇺🇸🗽☕️🎶❌</td>\n",
-       "      <td>https://twitter.com/FaithR8s/status/1212510409...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '236195607', 'username': 'FaithR8...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.212523e+18     1.212523e+18  1.577923e+12  2020-01-01   \n",
-       "1  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "2  1.212518e+18     1.212518e+18  1.577922e+12  2020-01-01   \n",
-       "3  1.212516e+18     1.200523e+18  1.577921e+12  2020-01-01   \n",
-       "4  1.212510e+18     1.212391e+18  1.577920e+12  2020-01-01   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0   https://mltshp.com/p/1HLSB  \"This is the deat...   \n",
-       "1  Ready to heard this? Homemade hair treatment a...   \n",
-       "2  We all know what a joke #CCPChina is when it c...   \n",
-       "3        Thought death masks gave you the horn freak   \n",
-       "4  Interesting cult of death mask he’s wearing, 🤔...   \n",
-       "\n",
-       "                                  hashtags       user_id        username  \\\n",
-       "0                                       []  8.431951e+17  Best_of_MLTSHP   \n",
-       "1                                       []  1.044739e+18       lumora_lu   \n",
-       "2  ['#ccpchina', '#sars', '#hk', '#hkers']  9.630325e+17        odiecher   \n",
-       "3                                       []  2.819219e+09      Hevysmoker   \n",
-       "4                                       []  2.361956e+08        FaithR8s   \n",
-       "\n",
-       "                  name                                               link  \\\n",
-       "0               MLTSHP  https://twitter.com/Best_of_MLTSHP/status/1212...   \n",
-       "1                 MiLu  https://twitter.com/lumora_lu/status/121251804...   \n",
-       "2             odiecher  https://twitter.com/odiecher/status/1212517557...   \n",
-       "3       Ashley Collins  https://twitter.com/Hevysmoker/status/12125155...   \n",
-       "4  ❌Patriot Fan🇺🇸🗽☕️🎶❌  https://twitter.com/FaithR8s/status/1212510409...   \n",
-       "\n",
-       "   retweet  nlikes  nreplies  nretweets  \\\n",
-       "0    False     1.0       0.0        1.0   \n",
-       "1    False     0.0       0.0        0.0   \n",
-       "2    False     1.0       1.0        1.0   \n",
-       "3    False     0.0       0.0        0.0   \n",
-       "4    False     1.0       0.0        1.0   \n",
-       "\n",
-       "                                           quote_url  retweet_id  \\\n",
-       "0                                                NaN         NaN   \n",
-       "1                                                NaN         NaN   \n",
-       "2  https://twitter.com/WBYeats1865/status/1212430...         NaN   \n",
-       "3                                                NaN         NaN   \n",
-       "4                                                NaN         NaN   \n",
-       "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '843195118924546048', 'username':...  \n",
-       "1  [{'user_id': '1044738746913034241', 'username'...  \n",
-       "2  [{'user_id': '963032516759207936', 'username':...  \n",
-       "3  [{'user_id': '2819219369', 'username': 'Hevysm...  \n",
-       "4  [{'user_id': '236195607', 'username': 'FaithR8...  "
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks = pd.read_csv('Datasets/5k_jan_tweets.csv',index_col=0)\n",
-    "masks.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "\n",
-    "analyzer = SentimentIntensityAnalyzer()\n",
-    "\n",
-    "masks['sentiment_score'] = masks['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.8176"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.8176"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment[0]['compound']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.000757438644754942"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment.mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "conditions = [\n",
-    "    masks.sentiment_score > .05,\n",
-    "    masks.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    17100\n",
-       "positive    16882\n",
-       "neutral      7457\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>conversation_id</th>\n",
-       "      <th>created_at</th>\n",
-       "      <th>date</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>user_id</th>\n",
-       "      <th>username</th>\n",
-       "      <th>name</th>\n",
-       "      <th>link</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>quote_url</th>\n",
-       "      <th>retweet_id</th>\n",
-       "      <th>reply_to</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Bought Bruno Fernandes, play him at CDM? Wtf a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>2.221553e+09</td>\n",
-       "      <td>chong_wh96</td>\n",
-       "      <td>Chong_wH</td>\n",
-       "      <td>https://twitter.com/chong_wh96/status/12237578...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '2221552537', 'username': 'chong_...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>My sister sent me $90 worth of face masks and ...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.075768e+09</td>\n",
-       "      <td>Yamanik30</td>\n",
-       "      <td>ACAB</td>\n",
-       "      <td>https://twitter.com/Yamanik30/status/122375787...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '3075767827', 'username': 'Yamani...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>When you were a mask to stop the cronavirus bu...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.209989e+18</td>\n",
-       "      <td>Harry31348302</td>\n",
-       "      <td>Harry</td>\n",
-       "      <td>https://twitter.com/Harry31348302/status/12237...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '1209988745790918656', 'username'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>this girl is deadass bragging about \"wearing m...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3.156025e+09</td>\n",
-       "      <td>JaceLucena</td>\n",
-       "      <td>katka</td>\n",
-       "      <td>https://twitter.com/JaceLucena/status/12237577...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '3156025472', 'username': 'JaceLu...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.223758e+18</td>\n",
-       "      <td>1.580602e+12</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>Sister is determined to infect me. Emerged fro...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>1.583843e+07</td>\n",
-       "      <td>nyman11209</td>\n",
-       "      <td>Hobonator</td>\n",
-       "      <td>https://twitter.com/nyman11209/status/12237577...</td>\n",
-       "      <td>False</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>[{'user_id': '15838427', 'username': 'nyman112...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             id  conversation_id    created_at        date  \\\n",
-       "0  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "1  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "2  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "3  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "4  1.223758e+18     1.223758e+18  1.580602e+12  2020-02-01   \n",
-       "\n",
-       "                                               tweet hashtags       user_id  \\\n",
-       "0  Bought Bruno Fernandes, play him at CDM? Wtf a...       []  2.221553e+09   \n",
-       "1  My sister sent me $90 worth of face masks and ...       []  3.075768e+09   \n",
-       "2  When you were a mask to stop the cronavirus bu...       []  1.209989e+18   \n",
-       "3  this girl is deadass bragging about \"wearing m...       []  3.156025e+09   \n",
-       "4  Sister is determined to infect me. Emerged fro...       []  1.583843e+07   \n",
-       "\n",
-       "        username       name  \\\n",
-       "0     chong_wh96   Chong_wH   \n",
-       "1      Yamanik30       ACAB   \n",
-       "2  Harry31348302      Harry   \n",
-       "3     JaceLucena      katka   \n",
-       "4     nyman11209  Hobonator   \n",
-       "\n",
-       "                                                link retweet  nlikes  \\\n",
-       "0  https://twitter.com/chong_wh96/status/12237578...   False     0.0   \n",
-       "1  https://twitter.com/Yamanik30/status/122375787...   False     6.0   \n",
-       "2  https://twitter.com/Harry31348302/status/12237...   False     0.0   \n",
-       "3  https://twitter.com/JaceLucena/status/12237577...   False     9.0   \n",
-       "4  https://twitter.com/nyman11209/status/12237577...   False     1.0   \n",
-       "\n",
-       "   nreplies  nretweets quote_url  retweet_id  \\\n",
-       "0       0.0        0.0       NaN         NaN   \n",
-       "1       0.0        0.0       NaN         NaN   \n",
-       "2       0.0        0.0       NaN         NaN   \n",
-       "3       0.0        1.0       NaN         NaN   \n",
-       "4       0.0        0.0       NaN         NaN   \n",
-       "\n",
-       "                                            reply_to  \n",
-       "0  [{'user_id': '2221552537', 'username': 'chong_...  \n",
-       "1  [{'user_id': '3075767827', 'username': 'Yamani...  \n",
-       "2  [{'user_id': '1209988745790918656', 'username'...  \n",
-       "3  [{'user_id': '3156025472', 'username': 'JaceLu...  \n",
-       "4  [{'user_id': '15838427', 'username': 'nyman112...  "
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2 = pd.read_csv('Datasets/5k_feb_tweets.csv', index_col=0)\n",
-    "masks2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "masks2['sentiment_score'] = masks2['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
-    "\n",
-    "conditions = [\n",
-    "    masks2.sentiment_score > .05,\n",
-    "    masks2.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks2['sentiment'] = np.select(conditions, choices, 'neutral')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    38152\n",
-       "positive    31819\n",
-       "neutral     14237\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "masks2.sentiment.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 7min 2s, sys: 2.83 s, total: 7min 5s\n",
+      "Wall time: 7min 9s\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "-0.03440293915067452"
+       "0                                                                                                                  death thomas unknown peasant died river\n",
+       "1                                                    ready heard homemade hair treatment ann cherry dead sea mud fucking putas swear woman bitch shut fuck\n",
+       "2    joke #ccpchina come epidemic outbreakthink stayed silent #sars dear worldstay away #hk im sure infected amongst already dear fellow #hkers facewit...\n",
+       "3                                                                                                                            thought death gave horn freak\n",
+       "4                                                              interesting cult death thinkingface electronically posing cia brennan chief facewithmonocle\n",
+       "Name: clean_tweet, dtype: object"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks2.sentiment_score.mean()"
+    "%time df['clean_tweet'] = df['tweet'].apply(lambda x: clean_text(x, stop_words))\n",
+    "\n",
+    "# pull the clean tweet column\n",
+    "clean_tweets = df['clean_tweet']\n",
+    "clean_tweets.head()"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 73,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
-      "  interactivity=interactivity, compiler=compiler, result=result)\n"
-     ]
-    }
-   ],
    "source": [
-    "masks3 = pd.read_csv('Datasets/5k_mar_1_16_tweets.csv', index_col=0)"
+    "##### Save to pickle"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
-    "masks3['sentiment_score'] = masks3['tweet'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
-    "\n",
-    "conditions = [\n",
-    "    masks3.sentiment_score > .05,\n",
-    "    masks3.sentiment_score < -.05\n",
-    "]\n",
-    "\n",
-    "choices = [\n",
-    "    'positive',\n",
-    "    'negative'\n",
-    "]\n",
-    "\n",
-    "masks3['sentiment'] = np.select(conditions, choices, 'neutral')"
+    "# uncomment to save\n",
+    "# clean_tweets.to_pickle('Datasets/clean_tweets.pkl')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "negative    34682\n",
-       "positive    32128\n",
-       "neutral     13190\n",
-       "Name: sentiment, dtype: int64"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "masks3.sentiment.value_counts()"
+    "# uncomment to load\n",
+    "# clean_tweets = pd.read_pickle('Datasets/clean_tweets.pkl')"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 78,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.013039305000000001"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
-    "masks3.sentiment_score.mean()"
+    "## Create sparse vector matrix, our main features, which will also help us with LDA"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
-    "masks3['cleaned_tweet'] = masks3['tweet'].apply(lambda x: clean_text(x, stop_words))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 206,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0 The new police issue masks might not prevent covid19 identifying them as human.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "1 Those *who are with the virus* should wear a mask if they need to go outside. Those \"*who are not* don't benefit at all from using them, they benefit much more by having basic hygiene manners.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "2 … I guess Nancy can put in masks for everyone in her coronavirus funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "3 Washing your hands and disinfecting your electronics will save you more than masks  https://twitter.com/Pog_llins/status/1233869731607826433 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "4 Americans worried about coronavirus don't need to buy face masks, US surgeon general says\n",
-      "\n",
-      " http://fox10phoenix.com/news/americans-worried-about-coronavirus-dont-need-to-buy-face-masks-us-surgeon-general-says …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "5 all these people out here worried about the coronavirus so they start wearing the masks and guess where the masks are made? In china!😂\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "6 Can’t get masks, toilet paper, sanitizer, paper towels, tissues, vodka...what’s next?! People are waiting in line for hours before stores open to buy stuff. Gonna try my luck at Costco today. \n",
-      "\n",
-      "#Japan #CoronaVirusUpdate pic.twitter.com/CMtbT89Wc4\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "7 This webinar will discuss research related to long-term respirator usage for outbreaks of infectious diseases, such as #coronavirus, including guidance for a surgical mask overlay as recommended by the @theIOM\n",
-      "Learn more and register:  http://bit.ly/marchAHEPPwebinar … #EMGTwitter pic.twitter.com/phZePsn0VP\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "8 I went to sams today, they was no hand sanitizer, barely any lysol wipes or spray & walgreens & cvs are sold out in anti viral masks 🥴\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "9 Yet you wear a mask.  Worried about @VP leading the Coronavirus charge?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "10 I just backed Next Gen Pollution & Viral Filtration Mask With Botanicals on @Kickstarter https://www.kickstarter.com/projects/ausair/next-gen-anti-pollution-and-anti-viral-mask-with-botanicals?ref=android_thanks_twitter_share …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "11 From the doctors I’ve talked to, apparently masks don’t help and aren’t as effective as hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "12 Cara mengingat pencegahan virus\n",
-      " W-U-H-A-N:\n",
-      "\n",
-      "Bahasa Inggris*\n",
-      "\n",
-      "*W* - wash hands\n",
-      "*U* - use mask properly\n",
-      "*H* - have temperature checked regularly\n",
-      "*A* - avoid large crowds\n",
-      "*N* - never touch your face with unclean hands\n",
-      "\n",
-      "#CoronaVirusIndonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "13 Also a 100x more deadly than the flu? What flu strain for that matter? Look, if you want to go to Walmart and buy up all the masks, Lysol and bleach, be my guest. I am not buying into the hype.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "14 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "15 Since medical masks are running out of stock, try going environmentally friendly and getting reusable masks\n",
-      "#CoronaVirus #CoVID19 pic.twitter.com/je1FiQ8f6K\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "16 I’m seeing all these glammed up Corona face masks and I love it!!! #blackpeople we gonna be fly regardless !! #periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "17 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "18 #coronavirus in #NYC: Panic Shopping for Masks, but Brunch Is Packed  https://nyti.ms/38dAE91 \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "19 Coronavirus-stock market, Wall St will bounce back once enough investors and politicians invest in infectious disease precautionary supplies like masks, gloves and of course inside information on which pharmaceutical company is close to vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "20 Living in the city, I am surprised how few people seem even phased by the virus. A few masks on the subway, that's about it. I think the virus is annoyed by Toronto like everyone else across the country is 🤣🤣🤣\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "21 Crazy thing is that in a pandemic you generally have water and power. What you really need are N95 masks, food, and disinfectant. This is just dumb.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "22 trump has no empathy, no compassion.  He doesn’t care if people die.  He only cares about himself.\n",
-      "\n",
-      "Think Poe’s Mask of the Red Death with Mar-a-Lago as his hideaway from the virus.  He will wall himself up there while the country is ravaged by disease.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "23 \"Coronavirus in N.Y.: Panic Shopping for Masks, but Brunch Is Packed\" by Kimiko de Freytas-Tamura via NYT  https://ift.tt/3agz1Zy  Check out  http://1Network.com  - (302) 444-0401. Contact us for all of your small business needs.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "24 So, stop buying masks because they don't work vs Coronavirus.  But they DO work for healthcare providers, and Trump has \"43 million masks\" stockpiled?!?!\n",
-      "\n",
-      "WTAF?  Stop sampling those Schedule 1 drugs, my guy!\n",
-      "\n",
-      "#CoronaVirusUpdate \n",
-      "@TheUnhingedOne_\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "25 Snapchat shoulda made those face mask filters irl so we could on keep it cute for #Coronavirus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "26 It's where moisture can be absorbed. The eyes can deffo absorb droplet viruses. I work in healthcare and other than the usual precautions and sick patients wearing masks, there seems to be no panic. A lot less than with ebola and swine flu.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "27 99% of the people who see these ads have common sense & know that these masks do not work vs Viruses.\n",
-      "\n",
-      "But it is the 1% who are stupid & gullible enough to believe the 'Thunder Labs' mask will prevent contracting the Coronavirus and similar.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "28 No, You DO NOT Need Face Masks For Coronavirus—They Might Increase Your Infection Risk  https://flip.it/FOshKc \n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "29 The Coronavirus is freaking me out. At least I got some masks. 😷\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "30 If we do need to go out to see a doctor, for example, we should wear a surgical mask to protect others. So this is when a mask is needed – when we are unwell and have to go out.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "31 Okay which celeb is wearing a mask to the Met Gala this year and saying their fit was inspired by the coronavirus?\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "32 Have you seen reports where people having no symptoms and still infect others? That means you could get the infection and give it to others unknowingly if you don't wear mask in areas that have community spread. I agree N95 should be reserved for public workers only.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "33 the funniest part is a basic mask won’t protect you either lol. this virus requires an N-95 respirator mask.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "34 Be informed follow the @WHO. Get your information from healthcare professionals. If you want to purchase masks wear ones that have N95, R95 or P95 all will prevent viral transmission through the mask.  https://twitter.com/DrDenaGrayson/status/1233727760889241600 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "35 😷Can Face Masks Prevent Coronavirus? Experts Say That Depends  https://time.com/5774521/coronavirus-face-mask-prevention/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "36 Wear masks in emergency rooms and publicly if must go. California hospitals 2+weeks ago weren't offering masks or testing for coronavirus when having flu symptoms,respiratory in ERs... Wash hands often.  https://twitter.com/RealJamesWoods/status/1234183329181650944 … pic.twitter.com/DAJurda7aN\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "37 How to Prepare for Coronavirus: Masks, Washing Hands, Masks and More  https://csbnnews.com/how-to-prepare-for-coronavirus-masks-washing-hands-masks-and-more/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "38 Current in demand items selling out in stores but available on Amazon: \n",
-      "Water  https://amzn.to/2vurRCi \n",
-      "Masks  https://amzn.to/2wT7M8X \n",
-      "Hand Sanitizer  https://amzn.to/2Tsg6nY \n",
-      "ad \n",
-      "#coronavirus #coronavirusus #coronavirususa\n",
-      "#SARSCOV19 #SARSCoV2 #China #Wuhan #Flu\n",
-      "#coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "39 It's ironic you say that because you were saying those mask were effective in preventing infection against corona virus\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "40 I refuse to do the math, but my husband can attest to the near nervous breakdown  I had yesterday while working on the mask story at Forbes (that has half of Twitter pissed at me right now). I have 4 other stories in the pipeline--all \"deadline as soon as possible.\" So yea.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "41 N95 masks (which is what we have) are what frontline health workers use to protect themselves from infection. Surgical masks etc only protect others. Given the air recirculation and potential for sitting near an infected person for up to 15 hours, it seems to make some sense.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "42 If one of my doctors tells me to wear a mask to protect my totally dysfunctional immune system, I’m gonna wear a mask.  https://twitter.com/Surgeon_General/status/1233725785283932160 …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "43 There were about 5 babies on my flight today. I didn’t see but one person with a mask in a huge airport. Only the media and democrats worried about Coronavirus.\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "44 at my job (home-depot) everyone is going crazy buying the n95 masks i asked a customer why she needed them she said she works with part of the medical center in houston and they’re bringing people from SA that have the coronavirus but the news wont say it bcs of the rodeo, sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "45 No, You Do Not Need Face Masks For Coronavirus—They Might Increase Your Infection Risk\n",
-      "\n",
-      " https://www.forbes.com/sites/tarahaelle/2020/02/29/no-you-do-not-need-face-masks-for-coronavirus-they-might-increase-your-infection-risk/amp/ …\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "46 The authorities in HK said surgical mask is gd enough. If we donno how to put on & take off N95, it can even be worse. Besides, wearing N95 is uncomfortable, one can't wear 4 long. U also need to wash hands frequently as the virus can enter ur nose, eyes or mouth when ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "47 A question for you, why are masks so hard to get hold of in this country ? It’s not like they are hard to make. \n",
-      "\n",
-      "Don’t give me , washing hands is better malarkey. \n",
-      "\n",
-      "FYI I ordered masks from a medical stockist 3 weeks ago who still hasn’t dispatched them .....\n",
-      "\n",
-      "#coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "48 Them damn surgical masks won’t block a virus, y’all are incompetent. Send the flood @ God\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "49 I am not interested in raising Fears of #covid19Canada nor suggesting to wear a mask, I am Speculating about the Financial impact that it will have on Canada and #Housing do you think this will slow down the hot housing markets and usher in a Correction in some Markets #LdnOnt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "for i, tweet in enumerate(masks3['tweet'].head(50)):\n",
-    "    print(i, tweet)\n",
-    "    print('\\n-----------------------------\\n')"
+    "# regex pattern to vectorize by\n",
+    "pattern = \"(#?[a-zA-Z]+[0-9]*(?:'[a-zx]+)?)\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 207,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0 new police issue might prevent identifying human\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "1 wear need go outside benefit using benefit much basic hygiene manners\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "2 guess nancy put everyone funding\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "3 washing hands disinfecting electronics save\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "4 americans worried need buy us surgeon general says\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "5 people worried start wearing guess made china facewithtearsofjoy\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "6 get toilet paper sanitizer paper towels tissues vodka next people waiting line hours stores open buy stuff going try luck costco today #japan #coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "7 webinar discuss research related long term respirator usage outbreaks infectious diseases including guidance surgical overlay recommended learn register #emgtwitter\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "8 went sams today hand sanitizer barely lysol wipes spray walgreens cvs sold anti woozyface\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "9 yet wear worried leading charge\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "10 backed next gen pollution filtration botanicals\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "11 doctors talked apparently help effective hand washing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "12 cara mengingat pencegahan w u h n bahasa inggris w wash hands u use properly h temperature checked regularly avoid large crowds n never touch unclean hands #coronavirusindonesia\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "13 also x deadly flu flu strain matter look want go walmart buy lysol bleach guest buying hype\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "14 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "15 since medical running stock try going environmentally friendly getting reusable\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "16 seeing glammed love #blackpeople going fly regardless #periodtttt\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "17 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "18 #nyc panic shopping brunch packed\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "19 stock market wall st bounce back enough investors politicians invest infectious disease precautionary supplies like gloves course inside information pharmaceutical company close vaccine\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "20 living city surprised people seem even phased subway think annoyed toronto like everyone else across country rollingonthefloorlaughing rollingonthefloorlaughing rollingonthefloorlaughing\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "21 crazy thing pandemic generally water power really need n95 food disinfectant dumb\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "22 trump empathy compassion care people die cares think poe red death mar lago hideaway wall country ravaged disease\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "23 ny panic shopping brunch packed kimiko de freytas tamura via nyt check contact us small business needs\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "24 stop buying work vs work healthcare providers trump million stockpiled wtaf stop sampling schedule drugs guy #coronavirusupdate\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "25 snapchat shoulda made filters irl could keep cute\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "26 moisture absorbed eyes deffo absorb droplet work healthcare usual precautions sick patients wearing seems panic lot less ebola swine flu\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "27 people see ads common sense know work vs stupid gullible enough believe thunder labs prevent contracting similar\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "28 need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "29 freaking least got facewithmedicalmask\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "30 need go see doctor example wear surgical protect others needed unwell go\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "31 okay celeb wearing met gala year saying fit inspired\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "32 seen reports people symptoms still infect others means could get infection give others unknowingly wear areas community spread agree n95 reserved public workers\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "33 funniest part basic protect either lol requires n respirator\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "34 informed follow get information healthcare professionals want purchase wear ones n95 r95 p95 prevent transmission\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "35 facewithmedicalmask prevent experts say depends\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "36 wear emergency rooms publicly must go california hospitals weeks ago offering testing flu symptomsrespiratory ers wash hands often\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "37 prepare washing hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "38 current demand items selling stores available amazon water hand sanitizer ad #coronavirusus #coronavirususa #sarscov19 #sarscov2 #china #wuhan #flu #coronavid19\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "39 ironic say saying effective preventing infection\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "40 refuse math husband attest near nervous breakdown yesterday working story forbes half twitter pissed right stories pipeline deadline soon possible yea\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "41 n95 frontline health workers use protect infection surgical etc protect others given air recirculation potential sitting near infected person hours seems make sense\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "42 one doctors tells wear protect totally dysfunctional immune system going wear\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "43 babies flight today see one person huge airport media democrats worried\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "44 job home depot everyone going crazy buying n95 asked customer needed said works part medical center houston bringing people sa news wont say bcs rodeo sad af\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "45 need might increase infection risk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "46 authorities hk said surgical gd enough donno put take n95 even worse besides wearing n95 uncomfortable one cannot wear long u also need wash hands frequently enter ur nose eyes mouth ur hands\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "47 question hard get hold country like hard make give washing hands better malarkey fyi ordered medical stockist weeks ago still dispatched #coronavirusuk\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "48 damn surgical block incompetent send flood god\n",
-      "\n",
-      "-----------------------------\n",
-      "\n",
-      "49 interested raising fears canada suggesting wear speculating financial impact canada #housing think slow hot housing markets usher correction markets #ldnont\n",
-      "\n",
-      "-----------------------------\n",
-      "\n"
+      "CPU times: user 7.87 s, sys: 206 ms, total: 8.08 s\n",
+      "Wall time: 8.09 s\n"
      ]
-    }
-   ],
-   "source": [
-    "for i, tweet in enumerate(masks3['cleaned_tweet'].head(50)):\n",
-    "    print(i, tweet)\n",
-    "    print('\\n-----------------------------\\n')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 113,
-   "metadata": {},
-   "outputs": [
+    },
     {
      "data": {
       "text/html": [
@@ -5052,27 +887,27 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>a0</th>\n",
-       "      <th>a1</th>\n",
-       "      <th>a10</th>\n",
-       "      <th>a2</th>\n",
-       "      <th>a3</th>\n",
-       "      <th>a4</th>\n",
-       "      <th>a5</th>\n",
-       "      <th>a9</th>\n",
-       "      <th>aa</th>\n",
-       "      <th>aa377</th>\n",
+       "      <th>#airlines</th>\n",
+       "      <th>#amazon</th>\n",
+       "      <th>#america</th>\n",
+       "      <th>#americanairlines</th>\n",
+       "      <th>#art</th>\n",
+       "      <th>#besafe</th>\n",
+       "      <th>#breaking</th>\n",
+       "      <th>#breakingnews</th>\n",
+       "      <th>#business</th>\n",
+       "      <th>#california</th>\n",
        "      <th>...</th>\n",
-       "      <th>zulus</th>\n",
-       "      <th>zum</th>\n",
-       "      <th>zuma</th>\n",
-       "      <th>zumba</th>\n",
-       "      <th>zurich</th>\n",
-       "      <th>zville</th>\n",
-       "      <th>zweli</th>\n",
-       "      <th>zyad</th>\n",
-       "      <th>zyada</th>\n",
-       "      <th>zzz</th>\n",
+       "      <th>yorkers</th>\n",
+       "      <th>young</th>\n",
+       "      <th>youre</th>\n",
+       "      <th>youth</th>\n",
+       "      <th>youtube</th>\n",
+       "      <th>yr</th>\n",
+       "      <th>zanyface</th>\n",
+       "      <th>zero</th>\n",
+       "      <th>zombie</th>\n",
+       "      <th>zone</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -5198,127 +1033,258 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 56317 columns</p>\n",
+       "<p>5 rows × 3712 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "   a0  a1  a10  a2  a3  a4  a5  a9  aa  aa377  ...  zulus  zum  zuma  zumba  \\\n",
-       "0   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "1   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "2   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "3   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "4   0   0    0   0   0   0   0   0   0      0  ...      0    0     0      0   \n",
-       "\n",
-       "   zurich  zville  zweli  zyad  zyada  zzz  \n",
-       "0       0       0      0     0      0    0  \n",
-       "1       0       0      0     0      0    0  \n",
-       "2       0       0      0     0      0    0  \n",
-       "3       0       0      0     0      0    0  \n",
-       "4       0       0      0     0      0    0  \n",
-       "\n",
-       "[5 rows x 56317 columns]"
+       "   #airlines  #amazon  #america  #americanairlines  #art  #besafe  #breaking  \\\n",
+       "0          0        0         0                  0     0        0          0   \n",
+       "1          0        0         0                  0     0        0          0   \n",
+       "2          0        0         0                  0     0        0          0   \n",
+       "3          0        0         0                  0     0        0          0   \n",
+       "4          0        0         0                  0     0        0          0   \n",
+       "\n",
+       "   #breakingnews  #business  #california  ...  yorkers  young  youre  youth  \\\n",
+       "0              0          0            0  ...        0      0      0      0   \n",
+       "1              0          0            0  ...        0      0      0      0   \n",
+       "2              0          0            0  ...        0      0      0      0   \n",
+       "3              0          0            0  ...        0      0      0      0   \n",
+       "4              0          0            0  ...        0      0      0      0   \n",
+       "\n",
+       "   youtube  yr  zanyface  zero  zombie  zone  \n",
+       "0        0   0         0     0       0     0  \n",
+       "1        0   0         0     0       0     0  \n",
+       "2        0   0         0     0       0     0  \n",
+       "3        0   0         0     0       0     0  \n",
+       "4        0   0         0     0       0     0  \n",
+       "\n",
+       "[5 rows x 3712 columns]"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create a document-term matrix using CountVectorizer, using custom regex tokenizing pattern\n",
+    "\n",
+    "cv = CountVectorizer(min_df=250, token_pattern=pattern)\n",
+    "%time data_cv = cv.fit_transform(clean_tweets)\n",
+    "\n",
+    "# save as a DataFrame\n",
+    "data_vec = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
+    "data_vec.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(575949, 3712)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_vec.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Take a look at our list of words and unique vocabulary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'death thomas unknown peasant died river ready heard homemade hair treatment ann cherry dead sea mud '"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# make a big string\n",
+    "\n",
+    "big_string = ' '.join(clean_tweets)\n",
+    "big_string[:100]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 512 ms, sys: 175 ms, total: 687 ms\n",
+      "Wall time: 693 ms\n"
+     ]
+    }
+   ],
+   "source": [
+    "# split it into words\n",
+    "%time words = big_string.split()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Number of words in our corpus"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "7793391"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(words)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Total unique vocabulary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "243080"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_vocab = set(words)\n",
+    "len(total_vocab)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Create a word list with corresponding frequencies in the corpus and look at the 25 most frequent words in our cleaned tweets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('hand', 40134),\n",
+       " ('need', 39383),\n",
+       " ('spread', 33418),\n",
+       " ('protect', 32088),\n",
+       " ('make', 31605),\n",
+       " ('help', 30306),\n",
+       " ('say', 28477),\n",
+       " ('glove', 27649),\n",
+       " ('public', 25717),\n",
+       " ('hospital', 25525),\n",
+       " ('new', 25340),\n",
+       " ('time', 25085),\n",
+       " ('medical', 24652),\n",
+       " ('china', 24641),\n",
+       " ('doctor', 24152),\n",
+       " ('home', 23986),\n",
+       " ('work', 23382),\n",
+       " ('day', 22567),\n",
+       " ('stop', 21958),\n",
+       " ('trump', 21074),\n",
+       " ('infected', 21008),\n",
+       " ('please', 20635),\n",
+       " ('everyone', 20359),\n",
+       " ('health', 20312),\n",
+       " ('death', 20287)]"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# We are going to create a document-term matrix using CountVectorizer, and exclude common English stop words\n",
-    "from sklearn.feature_extraction.text import CountVectorizer\n",
-    "\n",
-    "cv = CountVectorizer()\n",
-    "data_cv = cv.fit_transform(masks3['cleaned_tweet'])\n",
-    "data_dtm = pd.DataFrame(data_cv.toarray(), columns=cv.get_feature_names())\n",
-    "data_dtm.head()"
+    "Counter(words).most_common(25)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 114,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "from gensim import matutils, models\n",
-    "import scipy.sparse\n",
-    "\n",
-    "# One of the required inputs is a term-document matrix\n",
-    "tdm = data_dtm.transpose()\n",
-    "tdm.head()\n",
-    "\n",
-    "# We're going to put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
-    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
-    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
-    "\n",
-    "# Gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
-    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+    "###### Create a similar object in dictionary format and convert to DataFrame"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[(0,\n",
-       "  '0.018*\"hand\" + 0.013*\"sanitizer\" + 0.012*\"people\" + 0.008*\"get\" + 0.008*\"wear\" + 0.008*\"like\" + 0.007*\"gloves\" + 0.007*\"facewithmedicalmask\" + 0.007*\"paper\" + 0.006*\"got\"'),\n",
-       " (1,\n",
-       "  '0.015*\"hospital\" + 0.012*\"health\" + 0.011*\"staff\" + 0.010*\"patients\" + 0.010*\"care\" + 0.010*\"nurse\" + 0.006*\"new\" + 0.006*\"workers\" + 0.006*\"hospitals\" + 0.006*\"medical\"'),\n",
-       " (2,\n",
-       "  '0.023*\"us\" + 0.022*\"doctors\" + 0.022*\"gloves\" + 0.020*\"nurses\" + 0.019*\"china\" + 0.018*\"kits\" + 0.016*\"without\" + 0.015*\"test\" + 0.013*\"risk\" + 0.011*\"million\"'),\n",
-       " (3,\n",
-       "  '0.028*\"facewithtearsofjoy\" + 0.023*\"wearing\" + 0.021*\"gas\" + 0.013*\"man\" + 0.013*\"one\" + 0.011*\"wore\" + 0.009*\"house\" + 0.009*\"rollingonthefloorlaughing\" + 0.007*\"via\" + 0.006*\"gaetz\"'),\n",
-       " (4,\n",
-       "  '0.026*\"people\" + 0.021*\"wear\" + 0.020*\"wearing\" + 0.012*\"infected\" + 0.012*\"need\" + 0.011*\"protect\" + 0.010*\"get\" + 0.009*\"hands\" + 0.008*\"like\" + 0.008*\"sick\"')]"
+       "FreqDist({'hand': 40134, 'need': 39383, 'spread': 33418, 'protect': 32088, 'make': 31605, 'help': 30306, 'say': 28477, 'glove': 27649, 'public': 25717, 'hospital': 25525, ...})"
       ]
      },
-     "execution_count": 115,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Now that we have the corpus (term-document matrix) and id2word (dictionary of location: term),\n",
-    "# we need to specify two other parameters as well - the number of topics and the number of passes\n",
-    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=5, passes=10)\n",
-    "lda.print_topics()"
+    "fdist = FreqDist(words)\n",
+    "fdist"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "scrolled": true
-   },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n",
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -5340,452 +1306,704 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>username</th>\n",
-       "      <th>tweet</th>\n",
-       "      <th>hashtags</th>\n",
-       "      <th>nlikes</th>\n",
-       "      <th>nreplies</th>\n",
-       "      <th>retweet</th>\n",
-       "      <th>nretweets</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
+       "      <th>word_count</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>Matt04181</td>\n",
-       "      <td>SpongeBob: slides down Sand Mountain\\nThe tree...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
+       "      <th>hand</th>\n",
+       "      <td>40134</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>standtallx</td>\n",
-       "      <td>Started 2020 with freshly washed bed sheets, a...</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
+       "      <th>need</th>\n",
+       "      <td>39383</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>5_Times_LFC</td>\n",
-       "      <td>Using the coverage of his yellow card to mask ...</td>\n",
-       "      <td>[#classicjose, #coverup]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <th>spread</th>\n",
+       "      <td>33418</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>kagura_shelby</td>\n",
-       "      <td>The mask  pic.twitter.com/vHi9pC9S62</td>\n",
-       "      <td>[]</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <th>protect</th>\n",
+       "      <td>32088</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>IBdaSweet1</td>\n",
-       "      <td>I know what you mean, I've been depressed too ...</td>\n",
-       "      <td>[#hugs]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
+       "      <th>make</th>\n",
+       "      <td>31605</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  date       username  \\\n",
-       "0  2020-01-01 18:59:56      Matt04181   \n",
-       "1  2020-01-01 18:59:55     standtallx   \n",
-       "2  2020-01-01 18:59:43    5_Times_LFC   \n",
-       "3  2020-01-01 18:59:37  kagura_shelby   \n",
-       "4  2020-01-01 18:59:24     IBdaSweet1   \n",
-       "\n",
-       "                                               tweet  \\\n",
-       "0  SpongeBob: slides down Sand Mountain\\nThe tree...   \n",
-       "1  Started 2020 with freshly washed bed sheets, a...   \n",
-       "2  Using the coverage of his yellow card to mask ...   \n",
-       "3               The mask  pic.twitter.com/vHi9pC9S62   \n",
-       "4  I know what you mean, I've been depressed too ...   \n",
-       "\n",
-       "                   hashtags  nlikes  nreplies  retweet  nretweets  polarity  \\\n",
-       "0                        []       4         0    False          0 -0.155556   \n",
-       "1                        []       3         2    False          0  0.012500   \n",
-       "2  [#classicjose, #coverup]       0         0    False          0  0.000000   \n",
-       "3                        []       3         0    False          0  0.000000   \n",
-       "4                   [#hugs]       1         0    False          0  0.271591   \n",
-       "\n",
-       "   subjectivity  \n",
-       "0      0.288889  \n",
-       "1      0.425000  \n",
-       "2      0.000000  \n",
-       "3      0.000000  \n",
-       "4      0.648409  "
+       "         word_count\n",
+       "hand          40134\n",
+       "need          39383\n",
+       "spread        33418\n",
+       "protect       32088\n",
+       "make          31605"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "word_counts = pd.DataFrame(data=fdist.values(), index=fdist.keys(), columns=['word_count'])\n",
+    "word_counts = word_counts.sort_values('word_count', ascending=False)\n",
+    "word_counts.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Take the top 25 words and create a chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top25_words = word_counts.iloc[:25,:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1800x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(25,10))\n",
+    "plt.title('Top 25 Words', fontsize=30, pad=15)\n",
+    "plt.ylabel('Word Count', fontsize=28, labelpad=15)\n",
+    "plt.xticks(rotation=45, fontsize=22)\n",
+    "plt.yticks(fontsize=22)\n",
+    "plt.ylim(bottom=15000, top=41000)\n",
+    "\n",
+    "# plot bar chart with twitter blue ;)\n",
+    "plt.bar(top25_words.index, top25_words.word_count, color='#38A1F3');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## LDA\n",
+    "#### Topic modeling!\n",
+    "#### PLEASE NOTE: These are not our original topics. Unfortunately we lost those (except for a screenshot, which resides in our Images folder); we used those original topics for our presentation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# one of the required inputs is a term-document matrix\n",
+    "tdm = data_vec.transpose()\n",
+    "tdm.head()\n",
+    "\n",
+    "# put the term-document matrix into a new gensim format, from df --> sparse matrix --> gensim corpus\n",
+    "# TAKES AWHILE\n",
+    "sparse_counts = scipy.sparse.csr_matrix(tdm)\n",
+    "corpus = matutils.Sparse2Corpus(sparse_counts)\n",
+    "\n",
+    "# gensim also requires dictionary of the all terms and their respective location in the term-document matrix\n",
+    "id2word = dict((v, k) for k, v in cv.vocabulary_.items())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Pickle the gensim corpus and vocab locations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# uncomment to save\n",
+    "# with gzip.open('Datasets/gensim_corpus.pkl', 'wb') as c:\n",
+    "#     pickle.dump(corpus, c, protocol=pickle.HIGHEST_PROTOCOL)\n",
+    "    \n",
+    "# with gzip.open('Datasets/gensim_id2word.pkl', 'wb') as i:\n",
+    "#     pickle.dump(id2word, i, protocol=pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# uncomment to load\n",
+    "# with gzip.open('Datasets/gensim_corpus.pkl', 'rb') as c:\n",
+    "#     corpus = pickle.load(c)\n",
+    "    \n",
+    "# with gzip.open('Datasets/gensim_id2word.pkl', 'rb') as i:\n",
+    "#     id2word = pickle.load(i)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Use corpus and dictionary of term locations, and set number of topics and passes to create an LDA model\n",
+    "###### NOTE: keeping passes low due to the size of our dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0,\n",
+       "  '0.058*\"facewithmedicalmask\" + 0.028*\"week\" + 0.023*\"today\" + 0.020*\"#staysafe\" + 0.019*\"order\" + 0.018*\"#lockdown\" + 0.016*\"employee\" + 0.015*\"crisis\" + 0.013*\"local\" + 0.013*\"box\"'),\n",
+       " (1,\n",
+       "  '0.064*\"new\" + 0.057*\"case\" + 0.049*\"death\" + 0.038*\"protest\" + 0.020*\"lockdown\" + 0.017*\"number\" + 0.017*\"fear\" + 0.015*\"news\" + 0.015*\"droplet\" + 0.013*\"country\"'),\n",
+       " (2,\n",
+       "  '0.052*\"home\" + 0.044*\"stay\" + 0.042*\"please\" + 0.040*\"safe\" + 0.040*\"keep\" + 0.039*\"hand\" + 0.023*\"take\" + 0.015*\"wash\" + 0.012*\"#socialdistancing\" + 0.012*\"sanitizer\"'),\n",
+       " (3,\n",
+       "  '0.045*\"trump\" + 0.014*\"business\" + 0.014*\"police\" + 0.013*\"fauci\" + 0.013*\"life\" + 0.011*\"say\" + 0.011*\"american\" + 0.011*\"rule\" + 0.010*\"positive\" + 0.010*\"second\"'),\n",
+       " (4,\n",
+       "  '0.052*\"social\" + 0.045*\"distancing\" + 0.034*\"spread\" + 0.030*\"protect\" + 0.021*\"others\" + 0.019*\"stop\" + 0.017*\"infected\" + 0.017*\"distance\" + 0.017*\"prevent\" + 0.016*\"help\"'),\n",
+       " (5,\n",
+       "  '0.025*\"state\" + 0.018*\"health\" + 0.016*\"worker\" + 0.014*\"patient\" + 0.012*\"medical\" + 0.012*\"care\" + 0.012*\"million\" + 0.012*\"community\" + 0.011*\"hospital\" + 0.011*\"testing\"'),\n",
+       " (6,\n",
+       "  '0.018*\"make\" + 0.015*\"cloth\" + 0.010*\"filter\" + 0.009*\"take\" + 0.009*\"stop\" + 0.009*\"good\" + 0.009*\"kill\" + 0.008*\"rollingonthefloorlaughing\" + 0.008*\"micron\" + 0.007*\"air\"'),\n",
+       " (7,\n",
+       "  '0.017*\"pandemic\" + 0.013*\"still\" + 0.013*\"think\" + 0.011*\"want\" + 0.010*\"thing\" + 0.010*\"day\" + 0.010*\"see\" + 0.010*\"without\" + 0.010*\"got\" + 0.009*\"store\"'),\n",
+       " (8,\n",
+       "  '0.044*\"risk\" + 0.034*\"u\" + 0.028*\"study\" + 0.023*\"reduce\" + 0.022*\"say\" + 0.021*\"eye\" + 0.020*\"nose\" + 0.019*\"mouth\" + 0.018*\"expert\" + 0.017*\"spread\"'),\n",
+       " (9,\n",
+       "  '0.018*\"test\" + 0.018*\"open\" + 0.013*\"riot\" + 0.013*\"public\" + 0.012*\"mandatory\" + 0.011*\"effective\" + 0.010*\"refuse\" + 0.010*\"foot\" + 0.009*\"glove\" + 0.009*\"week\"')]"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create the topics\n",
+    "lda = models.LdaModel(corpus=corpus, id2word=id2word, num_topics=10, passes=10)\n",
+    "\n",
+    "# view the topics\n",
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Pickle it!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('models/lda_model_10_topics_10_passes.pkl', 'wb') as handle:\n",
+    "    pickle.dump(lda, handle, protocol=pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Assign each tweet to the topic to which it most closely fits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "corpus_transformed = lda[corpus]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "575949"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(corpus_transformed)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 0.020016158),\n",
+       " (1, 0.1597161),\n",
+       " (2, 0.020016158),\n",
+       " (3, 0.020018646),\n",
+       " (4, 0.2196404),\n",
+       " (5, 0.21993728),\n",
+       " (6, 0.020016158),\n",
+       " (7, 0.2806068),\n",
+       " (8, 0.020016158),\n",
+       " (9, 0.020016158)]"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corpus_transformed[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    [(0, 0.020016162), (1, 0.16171636), (2, 0.020016162), (3, 0.0200178), (4, 0.21964042), (5, 0.21993735), (6, 0.020016162), (7, 0.27860725), (8, 0.0...\n",
+       "1                                                                                       [(5, 0.0974396), (6, 0.1636191), (7, 0.54697824), (9, 0.14908998)]\n",
+       "2                                                                  [(0, 0.061181605), (1, 0.061553374), (2, 0.28873074), (4, 0.21947171), (7, 0.34124833)]\n",
+       "3    [(0, 0.020004174), (1, 0.020013815), (2, 0.020004174), (3, 0.020006256), (4, 0.020004174), (5, 0.020004174), (6, 0.020005008), (7, 0.8199499), (8,...\n",
+       "4    [(0, 0.014292977), (1, 0.23047026), (2, 0.014292977), (3, 0.014294527), (4, 0.15703824), (5, 0.014292977), (6, 0.15701887), (7, 0.014293624), (8, ...\n",
+       "Name: lda_scores, dtype: object"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks['polarity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
-    "masks['subjectivity'] = masks['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
-    "masks.head()"
+    "# turn our LDA corpus into a column\n",
+    "df['lda_scores'] = corpus_transformed\n",
+    "df['lda_scores'].head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12bb2a1d0>"
+       "0    7\n",
+       "1    7\n",
+       "2    7\n",
+       "3    7\n",
+       "4    9\n",
+       "Name: lda, dtype: int64"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
-    },
+    }
+   ],
+   "source": [
+    "# obtain the topic that a resembles the tweet most\n",
+    "df['lda'] = df['lda_scores'].apply(lambda x: lda_getter(x))\n",
+    "df['lda'].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### Let's see if there's any discernable relationship between topics and time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
+       "<Figure size 720x432 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "sns.set_style('ticks')\n",
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('date').lda.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot.area(stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   alpha = .70, fontsize=14)\n",
     "\n",
-    "masks.loc[:1000,['polarity', 'subjectivity']].plot(figsize=(20,10))"
+    "p1.set_title('Topics Across Time', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('Date', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Percentage of Tweets', fontsize=18, labelpad=10)\n",
+    "p1.legend([f'lda_{i}' for i in range(10)], facecolor='white',\n",
+    "          framealpha=1, bbox_to_anchor=(1.01, 1.0), loc='upper left')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### Cool looking graph but not super helpful\n",
+    "##### Look at the relationship between sentiment and topics"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  \n"
-     ]
-    },
+     "data": {
+      "image/png": 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opk6dyg477MCFF17Itttuy4477sikSZMAeOqppzjiiCMYNWoUY8aM4e67727Z77777mPvvfdmm2224Ytf/CIHH3ww999/PwB33XUXBx54INtssw2jR4/mnHPOAeCEE05g2rRpjBs3juuvv54LLriACRMm8K9//Yv3vOc9i61jN2HCBC688EIA7r33Xvbdd19GjhzJ4YcfzpNPPtmlX4NG7cFbXkOB+pUWXwOGLGvHiJgIfKWrCjnqV0cxa17P/PUyfPBwLhnTc13VVT438Py6kufX9ap8flU+N6j++TW65557jpdeeonJkydz3333cfTRR7Pffvtx9NFHM2bMGCZNmsTDDz/Mcccdx/XXX8/QoUM5/vjjmThxInvssQeXXXYZ119/PQCzZ89m/PjxXHTRRWy33Xb87W9/4yMf+Qj77bcf5557Lg8//DBf/epX2X777bngggsAePvb384GG2zAnXfeyQc+8AHmzp3L7bffzvXXX89TTz3F8ccfz3e/+11Gjx7NVVddxbHHHssNN9zQ4TtX1OvrAW8usEpd2xBgWT1/ZOZEYGJtW0RsDTzYkUJmzZvVY/+Qe1qVzw08v77O8+u7qnxuUP3z6wuOOuooBg8ezM4778xqq63Gk08+ycsvv8y4cePo168fo0aNYqedduLXv/41a621FhtuuCF77703AEceeSRXXHEFACussAI33HAD66+/Pi+88AKzZ89m6NChPPfcc2y88cZLPf6YMWO4+eab+cAHPsAdd9zREvq+//3vs/POO7PjjjsCcNhhh3HppZfy6KOPssUWW3TJuff1gPc0UP+VGAFM74VaJElSA1l99dVbPh84cCDPPfccM2fOZNSoUS3tCxcuZJVVVqGpqYm11167pb1fv36ss846AAwYMIBbbrmFyy+/nBVXXJFNN92UpqYmmpqa2jz+Pvvsw0UXXcSrr77KTTfdxJgxYwCYPn06v/vd7xg5cmTLtvPnz2fatGkGvNJ9wCkRMSwzmy/G2LFslyRJavH444+z/vrrc8stt7S0TZ8+nWHDhnH77bfzu9/9brHtZ8yYAcCf/vQnLr30Un7+85/z5je/maamJrbZZptlHm/ttddms80245ZbbuGee+5h4sSJAKyxxhrst99+nHnmmS3b/vvf/2bdddftgrMsNORFFm2JiDUjYnj59C7gP8BlEbFJRHyB4spaJyJIktRThg/v/o8usOWWW7Jo0SKuuuoqFixYwJQpUzjwwAO599572X333Xn88ce5+eabWbBgAVdccQXTpxcDgq+88goDBgxgyJAhzJs3j4suuoiXX36Z+fPnAzBo0KCl3jN27NixnHfeeWy99da86U1vAmCvvfbi1ltv5aGHHqKpqYlbb72VfffdlxdeeKFLzhP6Zg/eA8BlwMTMXBgR+wKXUtzxYgqwf2Y+0XvlSZL0BtPAa9TVGjRoEJMmTeKrX/0q5513HiuuuCKHHXYYe+21FwDnnXceZ555Jqeddhp77LEH6667LoMGDWqZq7fnnnsyZMgQdthhB7bbbjsef/xxdtllF/bdd19OOumklh6/WnvuuSenn346++yzT0vbRhttxDe/+U1OP/10pk6dypvf/GYuuOACRowY0WXn2vABLzP71T1/a93zf1GsmydJksR6661HZi7WNnny5JbPf/SjHy2xz8yZM3nTm97Erbfe2tK2/fbbs8oqq9C/f3++/vWv8/Wvf73V4x1zzDEcc8wxrb42fPhwHnnkkSXad911V3bdddflOZ0O6XNDtJIkSV1t7ty5HHroofzzn/+kqamJa665hiFDhvC2t/XNu582fA+eJElSd1t33XU5+eSTOfroo3nhhReICL73ve912bp0Pc2AJ0mSBBx44IEceOCBvV1Gl+ibsVSSJElLZcCTJEmqGAOeJElSxRjwJEmSKsaAJ0mStAxz5sxh5syZvV3GcvMqWkmS1Ckz7vsiixbM6bb37z9wKGtv+41ue//lccghhzBhwgS23377du133XXX8bOf/Yyf/OQn3VRZ6wx4kiSpUxYtmEPTgtnd9/7d9s7L78UXX+ztEtrFIVpJklQpU6dOZYcdduDCCy9k2223Zccdd2TSpEkAPPXUUxxxxBGMGjWKMWPGcPfdd7fsExEsWLCg5X123313fv/733PCCScwbdo0xo0bx/XXX88FF1zAuHHj2GOPPfjgBz/IwoULueSSS/jgBz/Ie97zHnbffXduuummXjn3ZgY8SZJUOc899xwvvfQSkydP5qyzzuL888/nv//9L0cffTQjR47k97//PaeddhoTJkxg2rRpbb7Xueeey7rrrsukSZPYf//9AfjjH//ID37wA6655hoefPBBrrzySi699FL+9Kc/ccQRR3DmmWf2xGkulQFPkiRV0lFHHcXgwYPZeeedWW211XjyySd5+eWXGTduHIMGDWLUqFHstNNO/PrXv273e2+22Wa85S1vYfjw4Wy++eZcc801jBgxghkzZjBkyBBmzpzJwoULu+Gslo9z8CRJUiWtvvrqLZ8PHDiQ5557jpkzZzJq1KiW9oULF7LKKqu0+73XWGONls/79evHd77zHW6//XbWWWcdNtxwQwCampo6UX3nGPAkSdIbwuOPP87666/PLbfc0tI2ffp0hg0bxqxZs4Ai8A0cOJCmpiZeeumlpb5Xv379Wj6/7LLLmDp1KnfccQdDhw7lscce48Ybb+y+E1kODtFKkqQ3hC233JJFixZx1VVXsWDBAqZMmcKBBx7Ivffey5ve9CaGDRvGjTfeyKJFi7jiiiuYPfv1K4MHDRrUEgLrvfzyywwZMoSBAwcyc+ZMzj//fIDFLtjoaQY8SZLUKf0HDqXfwGHd9tF/4NAuqXPQoEFMmjSJ2267je22245PfvKTHHbYYey1114MGTKE0047jYsvvpjRo0fzxBNPsNVWW7Xsu++++3LSSSdxxRVXLPG+hx9+OHPnzmX06NEccMABbLbZZqy66qpMmTKlS+ruCIdoJUlSp/T2IsT11ltvPTJzsbbJkye3fP6jH/2o1f32228/9ttvv1ZfO+aYYzjmmGNafW2ttdbiyiuvXKzt2GOPBWCTTTbhgAMOWO7au4o9eJIkSRVjwJMkSaoYA54kSVLFGPAkSZIqxoAnSZJUMQY8SZKkijHgSZIkVYwBT5IkqWIMeJIkSctp/vz5zJgxo7fLWCbvZCFJkjrlqF8dxax5rd+ntSsMHzycS8Zc0m3vvyxHHnkke++9N/vvvz8nnHACO++8MwcddBC//OUv+cUvfsEPf/jDXqttaQx4kiSpU2bNm9WtAa+3/eAHP2j5/MUXX2z5fOzYsYwdO7Y3Slomh2glSVKlTJ06ldGjR/Ptb3+brbbaive///3ccccdANx1112MHTuWrbfemoMPPphHH30UgKamJr75zW+y/fbbs8MOO3D88cfzwgsvAHDooYfys5/9jHPOOYcHH3yQM844g4suuojrrruOj370o7z00ktsttlmPP300y01nHfeeZx88skA/O1vf+Pggw9m5MiRHHTQQfz1r3/t9q+BAU+SJFXOiy++yHPPPccf/vAHTj75ZMaPH88DDzzAZz7zGSZMmMD999/PQQcdxJFHHsmLL77Ifffdx+23384tt9zC7bffzrx587jqqqsWe88TTzyRkSNHctppp3Hssce2tK+yyirsvPPO/OY3v2lpu+mmmxg7diyvvPIKRx55JAcffDD33XcfRx55JOPGjWPWrO7t8TTgSZKkSvrCF77AkCFD2H333dlkk00YP348u+66KzvvvDMDBw7kQx/6EOuvvz533XUXw4YN45lnnuHaa6/lmWee4Xvf+95iIW5ZxowZw8033wzAI488wty5cxk9ejR33XUX6623Hvvttx8DBw5kzz33ZP3112fy5MndddqAAU+SJFXQyiuvzKqrrtryfO211+b5559n3XXXXWy7ddddlxkzZrD55ptzxhln8Jvf/IY999yT/fffn0ceeWS5j7f77rvzn//8h6lTp3LTTTex9957079/f6ZPn85jjz3GyJEjWz4ee+wxpk+f3mXn2hoDniRJqpxZs2bx6quvtjyfNm0axx57LNOmTVtsu6lTp7L66qszffp0Nt54Y66++mr+8Ic/MHr0aE499dTlPt7gwYN5//vfz6233sott9zCmDFjAFhzzTXZZpttePDBB1s+fvWrX3HwwQd3zYkuhQFPkiR1yvDBw7v9o70WLVrEd7/7XebPn89tt93GP//5T3baaSfuuusuJk+ezIIFC7j22mt54okn2GWXXfjLX/7CMcccw7Rp01hppZUYOnQoq6yyyhLvO3jw4KXOnxs7diyXX345K6ywAptssgkAu+yyC3//+9/57W9/y6JFi3jooYcYO3YsU6ZMafc5tYfLpEiSpE7pzTXq2rJw4UJ23HFH1lxzTS6++GK22GILzjvvPM455xymTp3KhhtuyCWXXMKaa67JBz7wAR577DEOOugg5syZw6abbsqZZ565xHvuvffenHnmmTzzzDNsvPHGi722zTbbALDPPvu0tK222mpMmjSJr3/963zhC19gtdVW48tf/jKbb755t567AU+SJFXSSSedxCmnnLJY22677cZuu+3W6vbjx49n/PjxS7RfccUVLZ8fcMABHHDAAYs9b9a/f3/uuuuuJfbfcsst+elPf9ru+jvDIVpJkqSKMeBJkiRVjEO0kiSpUtZbbz0ys7fL6FX24EmSJFWMAU+SJC2XgQMHsnDhwt4u4w1l0aJFDBgwoN37GfAkSdJy6d+/P/Pnz6epqam3S3nDWLBgQYcCnnPwJEnSchs+fDivvPIK85rmsfKKK/d2OZU2f/58Bg7sWFQz4EmSpOXWv39/Vl55ZQ697lAWLuiZ4dqhg4dy8Qcv7pFjNTvmpmOYM29Ojxxraee34oor0r9/xwZbDXiSJKndFjQtYNbC1m/Z1dWaFjYxePDgHjlWs9kLZ/fp83MOniRJUsUY8CRJkirGgCdJklQxBjxJkqSKaciLLCJiCHABcBDwGnBuZp69lG13Ar4DvBP4J3BSZt7aU7VKkiQ1mkbtwTsH2A54H3A0cGpEHFy/UUSsBfwK+BmwOXAN8IuI2KAHa5UkSWooDRfwImIYcBQwPjMfyswbgLOB41rZfAeAzPxGZk7JzLOAV4Fte6xgSZKkBtNwAQ/YAhgC3FPTdg8wKiLq79XxPLBKRBwUEf0iYj9gJeCRnilVkiSp8TTiHLx1gJmZObembQYwGFgLmF7TfjdwIfBTYBEwADgyMx/roVolSZIaTiMGvKEUF1bUan4+pK59GPA24KvA9cD7gfMj4m+ZeV9bB4mIicBXOl2tJElSg2nEgDeXJYNc8/P6m8KdCAzJzNPK53+OiE2AU4F92jpIZk4EJta2RcTWwIPtL1mSJKlxNOIcvKeB1SKi9qZsIyh68WbWbTsK+Etd20PAht1XniRJUmNrxID3MDAP2L6mbUfgocxcULftNODddW3vAqZ0X3mSJEmNreGGaDNzTkRcDlwcEYdT9N5NoFg6hYgYAbyUma8ClwD3RsRJwM+B3YBPAh/sjdolSZIaQSP24AGcADwA3A5MAs7IzGvK16YDHwHIzPuBseXzR4DPAR/PzNt7vGJJkqQG0XA9eFD04gGHlR/1r/Wre34TcFMPlSZJktTwGrUHT5IkSR1kwJMkSaoYA54kSVLFGPAkSZIqxoAnSZJUMQY8SZKkijHgSZIkVYwBT5IkqWIMeJIkSRVjwJMkSaoYA54kSVLFGPAkSZIqxoAnSZJUMQY8SZKkijHgSZIkVYwBT5IkqWIMeJIkSRVjwJMkSaoYA54kSVLFDOztAtT4hg8eXsljSZJUVQY8LdPXRqzHooWv9six+g9YsUeOI0lSlRnwtEwLX3uepgWze+RYTQOH9chxJEmqMufgSZIkVYwBT5IkqWIMeJIkSRVjwJMkSaoYA54kSVLFGPAkSZIqxoAnSZJUMa6D10W824MkSWoUBrwu4t0eJElSozDgdRHv9iBJkhqFc/AkSZIqxoAnSZJUMQY8SZKkijHgSZIkVYwBT5IkqWIMeJIkSRVjwJMkSaoYA54kSVLFdGnAi4j+EfG2rnxPSZIktQLB50cAAB5uSURBVE+7Al5ELIyIj7axyeHAw52qSJIkSZ3S5q3KImJd4H01Tf2AnSNiUCub9wc+DjR1XXmSJElqr2Xdi/ZZ4BTgHeXzJuDo8mNpvtsFdUmSJKmD2gx4mTk/IvYA3kbRe3c7cBZwWyubLwSezczs8iolSZK03JbVg0dmPgk8CRARnwQmZ+a/u7swSV1j+ODhlTyWJGnplhnwamXm5d1ViKTu8bUR67Fo4as9cqz+A1bskeNIktrWroAXEUOA0ykuphhB61fhNmVmu95XUvdZ+NrzNC2Y3SPHaho4rEeOI0lqW3uD2NnA8cBjwN3Aa11ekSSphUPskjqivQHvI8B1mXlgdxQjSVqcQ+x9l+Fcvam9AW8l4ObuKKRWORR8AXAQRS/huZl59lK2fSdwMbAtMBU4OTOv7e4aJaknOMTedxnO1ZvaG/AeBEYCl3ZDLbXOAbajWGR5PeCKiHgyM6+u3SgihgO/pVi+ZQtgL+AnEbFlZv69m2uUJGmpDOfqTe0NeJ8HbomIR4GfZeazXV1QRAwDjgLGZOZDwEMRcTZwHHB13eafAOYDR2TmfOCf5bp92wEGPEmS9IbU3oB3Rfl4AXBBRLS2TWevot0CGALcU9N2D/DliBiQmQtr2ncHflmGOwAyc59OHFuSJKnPa28Qu5/uv9fsOsDMzJxb0zYDGAysBUyvad8I+HNEXAzsX752Wmb+uptrlCRJFdbXL5Jp70LHh3d5BUsaypLLrzQ/H1LXvhJwIsVFFh8E9gB+ERGjy+FdSZKkduvrF8l0aCg1ItYA3g+8BfgpMBtYIzMf64Ka5rJkkGt+PqeufQHwaGaeUj7/c0TsBHwaOLqtg0TEROArnStVkiRVUV+/SKbdAS8iPg+cCaxAMVz7AEVP2nURMQk4LjM7M4z7NLBaRAzOzHll2wiKXryZddtOA6bUtSXw7mUdJDMnAhNr2yJia4orhSVJkvqs1m41tlQR8TGKJUyup1ijrl/50p/KtnEUd7rojIeBecD2NW07Ag9l5oK6bf8AbFXX9m7giU7WIEmS1Ge1K+ABE4DbMvPjwJ3NjZn5VHl3i5soljjpsMycA1wOXBwR20TE2PK45wNExIiIaB6s/j7wjoj4ZkRsFBGfo1g77386U4MkSVJf1t6A9y7ghjZe/xWwYcfLaXECxdDv7cAk4IzMvKZ8bTrFLdPIzCcp5gLuBvyNYu7dhzLzz11QgyRJUp/U3jl4rwCrtvH6BsCsjpdTKHvxDis/6l/rV/f8PmCbzh5TkiQtv76+jEjVtTfg/QY4JiJ+ANQuOExEbA4cC7gGnSRJFdfXlxGpuvYGvJOBP1IMh06muIr26Ig4DtgbeBk4rUsrlCRJDaevLyNSde2ag5eZTwMjgRspbhPWj+Jq2j0o5uaNzszHu7pISZIkLb92r4OXmdOBwyOiH7AGMAB4tu4esZIkSeolHb2TxSBgbV7vAXxzRLS8Xl7dKkmSpF7QroAXERsAPwR24fVFjlszoDNFSZIkqePa24M3CdgJ+Anwb+qupJUkSVLva2/A2wH4RmZ6pawkSVKDau+dLF4AnuuOQiRJktQ12hvwLgDGRcTq3VGMJEmSOq9dQ7SZ+a2IeC/weETcCzxDsdhxrabMPKKrCpQkSVL7tPcq2hOBPcuney1lsybAgCdJktRL2nuRxWcpblX2SeAfLm4sSZLUeNob8FYFzsjMx7qjGEmSJHVeey+y+AOwRXcUIkmSpK7R3h68zwC/i4hZwC+AGcCC+o28VZkkSVLvaW/A+yMwGDgRmNDGdt6qTFKPGD54eCWPJUmd0d6A922WXBZFknrN10asx6KFr/bIsfoPWLFHjiNJndXedfAmdlMdktQhC197nqYFs3vkWE0Dh/XIcd4o7H2Vuk+bAS8i3gI8m5mv1jxfJufgSZKWxd5Xqfssqwfv38ChwFXl8ydYviFa5+BJktpk76vUfZYV8M4AHql77hw8SZKkBtZmwMvM0+ueT1zWG0bE4E7WJEmSpE5o10LHEfF4RIxt4/WPAtM6XZUkSZI6bFkXWawBvLum6a3AqIh4sZXN+wP7Ayt0WXWSJElqt2XNwZtLcYHFOuXzJuCU8qM1/YCfdk1pkiRJ6ohlzcGbVQ7JbkYR3n4I/A/FPWnrLQSeBX7X1UVKkiRp+S1zoePM/BPwJ4CI2AC4NjP/2t2FSZIkqWPaeyeL05e9lSRJknpTe+9FS0SMAz4OjKD1BY2bMnOjzhYmSZKkjmlXwIuIrwBfAV4AEnitO4qSJElSx7W3B+8I4E5gr8w03EmSJDWgdi10DKwJXGW4kyRJalztDXh/Bd7RHYVIkiSpa7Q34J0KfDoiPtgdxUiSJKnz2jsH73PALOBXETEHeB5YVLeNV9FKkiT1ovYGvBWAf5YfkiRpKfoPHLpED0h3Hkuq1d6FjnfrrkIkSaqStX/yKsye0zMHG9YPtu2ZQ6lvaPdCxwARMRAYBbyFYtmUOcDAzHyh60qTJKkPe+YZmDWrZ441fHjPHEd9RnsvsiAiDgKeBO4BrgI2AXYCpkbEiV1bniRJktqrXQEvIvYAfkIxB28C0K986d/Ao8A3IuKQLq1QkiRJ7dLeHrzTgAeB3YAfNzdm5mPAjsDvKa60lSRJUi9pb8B7D/CTzFziwqDMXEAxZBtdUZgkSZI6pr0Bbx4wqI3X3wTM73g5kiRJ6qz2Brw7gSMiYoX6FyJiHeAY4O4uqEuSJEkd1N5lUk4B/gA8AtwENAH7RcQ+wOHAEOArXVmgJEmS2qddPXjlxRQ7AdOAz1BcRXscxYUV/wLem5kPd3WRkiRJWn7tXug4Mx8Fdo2I1YGNyvd4IjOnd3VxkiRJar9lBryIGAR8Ctg2Mz9Z89ImwCTgnUBTRNwGHJeZU7qlUkmSJC2XNgNeRAwBfgvsAMyLiKMyc0FEbAzcQjHn7jfA34ADgd9HxOaZOaOb65a0nLzhuSS98SyrB++zwPbAScDF5Vp3ABOBFYCrMvMQgIj4BsXdLE4p91NFGBD6Nm94LklvPMsKeB8Gfp6Z32puiIjBwFiKK2hb2jNzZkRcBhxMJwNe2XN4AXAQ8BpwbmaevYx9Vgf+DnwxMy/rzPG1OANCH+cNzyXpDWdZAW9j4LK6tu2AYcC0Vq6Y/RewbhfUdU55nPcB6wFXRMSTmXl1G/t8B1i7C46tegYESZL6lGUtkzIAWFDX9t7y8betbL8K0KmunogYBhwFjM/MhzLzBuBsiuVYlrbPXsA2wLOdObYkSVIVLCvg/QvYsq5tf4rh2V+3sv2e5T6dsQXFxRv31LTdA4yKiAH1G0fEShRX836a4lZqkiRJb2jLCnhXA5+IiH0jYmhEjKdYHuUZ4Je1G0bEx4E9gBs6WdM6wMzMnFvTNgMYDKzVyvZnA7/JzMmdPK4kSVIlLGsO3rkUvXLXU/Ta9aPoJftUZs4DiIj9KYZPdwUSOK+TNQ2luLCiVvPzIbWNEbELMIYidLZLREzE26pJkqQKajPgZea8iHgf8BGKix5eAa7MzL/XbLY1xTp5VwInZOarnaxpLnVBruZ5y/y+iFgR+AFwfGa+1N6DZOZEiuVeWkTE1sCD7X0vSZKkRrLMO1lk5kLgqvKjNWcBp2VmVy2V9jSwWkQMbu4lBEZQ9OLNrNluG+DtFFfYNrcNBSZFxLaZOa6L6pHUwFynUZKW1O570dbLzK5eIO1himHg7YE7y7YdgYdqFloG+CPFMi617qYYIr6si2uS1KBcp1GSltTpgNfVMnNORFwOXBwRh1P03k2gWDqFiBgBvFQOBS92xW5ELASeycxnerZq9WXDB/fc2ns9eaw3DNdplKQlNFzAK50AfA+4HXgZOCMzrylfmw58Envp1EW+NmI9Fi3s7NTR5dN/wIo9chxVh0PQkjqiIQNeOex7WPlR/1q/NvZbrzvrUjUtfO15mhbM7pFjNQ0c1iPHUXU4BC2pIxoy4EmSSg5BS+qAZS10LEmSpD7GgCdJklQxDtFKkiTV6esXOBnwJEmS6vT1C5wMeJIkSfX6+AVOzsGTJEmqGAOeJElSxRjwJEmSKsaAJ0mSVDEGPEmSpIox4EmSJFWMAU+SJKliXAdPktQr+vqdAqRGZsCTJPWKvn6nAKmRGfAkSb2jj98pQGpkzsGTJEmqGAOeJElSxThEK0mS2s2LZBqbAU+SJLWbF8k0NgOeJElqPy+SaWjOwZMkSaoYA54kSVLFGPAkSZIqxoAnSZJUMQY8SZKkijHgSZIkVYwBT5IkqWIMeJIkSRVjwJMkSaoYA54kSVLFGPAkSZIqxoAnSZJUMQY8SZKkijHgSZIkVczA3i6gKvoPHMqiHjyWJEnS0hjwusjaP3kVZs/pmYMN6wfb9syhJElS32PA6yrPPAOzZvXMsYYP75njSJKkPsk5eJIkSRVjwJMkSaoYA54kSVLFOAdPb3heAS1JqhoDnt7wvAJaklQ1BjzJK6AlSRXjHDxJkqSKMeBJkiRVjAFPkiSpYgx4kiRJFWPAkyRJqhgDniRJUsU05DIpETEEuAA4CHgNODczz17Kth8Bvgy8DfgXcGpm/qqnapUkSWo0jdqDdw6wHfA+4Gjg1Ig4uH6jiNgZuAI4H9gCuBS4LiLe04O1SpIkNZSG68GLiGHAUcCYzHwIeCgizgaOA66u2/wTwLWZeUn5/LsRsQ/wEeDPPVWzJElSI2nEHrwtgCHAPTVt9wCjImJA3bYXAGfWtTUBq3ZfeZIkSY2t4XrwgHWAmZk5t6ZtBjAYWAuY3tyYmX+p3TEiNgHeCywxnCtJkvRG0YgBbyjFhRW1mp8PWdpOEbEWcD1wN3Ddsg4SEROBr3SsREmSpMbViAFvLksGuebnc1rbISLWA24FFgIHZuaiZR0kMycCE+veZ2vgwfaVK0mS1FgacQ7e08BqETG4pm0ERS/ezPqNI2JDil67JmDXzHy+R6qUJElqUI0Y8B4G5gHb17TtCDyUmQtqN4yI1YHbgJeAXTJzRo9VKUmS1KAabog2M+dExOXAxRFxOEXv3QSKpVOIiBHAS5n5KvA1YA3gQ8DA8jWAVzPzpR4vXpIkqQE0Yg8ewAnAA8DtwCTgjMy8pnxtOsU6d1Dc6WJlijXvptd8XNSj1UqSJDWQhuvBg6IXDzis/Kh/rV/N52v0ZF2SJEl9QaP24EmSJKmDDHiSJEkVY8CTJEmqGAOeJElSxRjwJEmSKsaAJ0mSVDEGPEmSpIox4EmSJFWMAU+SJKliDHiSJEkVY8CTJEmqGAOeJElSxRjwJEmSKsaAJ0mSVDEGPEmSpIox4EmSJFWMAU+SJKliDHiSJEkVY8CTJEmqGAOeJElSxRjwJEmSKsaAJ0mSVDEGPEmSpIox4EmSJFWMAU+SJKliDHiSJEkVY8CTJEmqGAOeJElSxRjwJEmSKsaAJ0mSVDEGPEmSpIox4EmSJFWMAU+SJKliDHiSJEkVY8CTJEmqGAOeJElSxRjwJEmSKsaAJ0mSVDEGPEmSpIox4EmSJFWMAU+SJKliDHiSJEkVY8CTJEmqGAOeJElSxRjwJEmSKsaAJ0mSVDEGPEmSpIox4EmSJFWMAU+SJKliDHiSJEkVM7C3C2hNRAwBLgAOAl4Dzs3Ms5ey7RbAJGAL4DFgXGY+0FO1SpIkNZpG7cE7B9gOeB9wNHBqRBxcv1FEDANuBu4DtgbuBm6MiJV6sFZJkqSG0nABrwxtRwHjM/OhzLwBOBs4rpXNPwLMBz6fmY8B44GXynZJkqQ3pIYLeBRDrUOAe2ra7gFGRcSAum23Be7NzEUAmdkE3EvR+ydJkvSG1Ihz8NYBZmbm3Jq2GcBgYC1get22Wbf/DGDLDh57BYApU6a0f8+mJujfQ3m5qQn++teeOVbz8ap6bs3H9Py67lieX9cfs6rnV+Vzaz6m59d1x/L8llCTV1aof61fU1NTJ6vqWhFxKPCNzHxzTduGwBTgbZn5RE3774D7MvNLNW1nADtn5q7LOM5E4CtdWrwkSVLPOyQz/7e2oRF78OZSDNHWan4+Zzm3rd9uCZk5EZhY2xYRawJ7AE+U790THgRG9tCxelqVzw08v77O8+u7qnxu4Pn1dT15fisAbwVurX+hEQPe08BqETE4M+eVbSMolkuZ2cq2I+raRrD4MO5yy8xngf9d5oZdKCLIzId68pg9pcrnBp5fX+f59V1VPjfw/Pq6Xji/e1trbMSLLB4G5gHb17TtCDyUmQvqtr0P2D4i+gGUjzuU7ZIkSW9IDRfwMnMOcDlwcURsExFjgQnA+QARMSIiViw3/zkwHLggIt4NnAusBFzd85VLkiQ1hoYLeKUTgAeA2ynuUnFGZl5Tvjadcp27zHwZ2Juit+9PFL13H8zMV3q8YkmSpAbRiHPwmnvxDis/6l/rV/f8AWCrHiqtO5ze2wV0oyqfG3h+fZ3n13dV+dzA8+vrGuL8Gm6ZFEmSJHVOow7RSpIkqYMMeJIkSRVjwJMkSaoYA54kSVLFGPAkSZIqxoAnSZJUMQ25Dl5VlbdSWwsYAswBZmbmot6tSl0hIvpX6XsZEQOBlTOz/v7PanAR0R9YMzNn9HYt3SUi1gSe78v/5iJivcyc2tt19LTye7cB8HgV/n+JiLcAawCDgZeBJzNzVu9WVXAdvB4QER8GjgNGUfwQNHsNeAj4TmZe2xu1qW0RMRj4GvBxYFXgNuALmfl/NdusDUzLzAG9U2XnRMRHgV2A3wLXAucBR1P8rD4LfDUzL+y9CrteRLwMbJGZ/+7tWjoqIq4DDi/v6NP8s/pt4ChgEPAicHZmfrP3quy4iBgEfBnYOjP3Lp9/k+JncwXgFeB/gFNauU95w4uIhRS32/x0Zr7U2/V0tbJD4wRgd+BBisV/v03xu3AA0AT8GBiXma/1Vp0dFRHHA18ERtS9tIjizlpnZOaNPV5YDXvwullEnAicCpxN8Z/VDIpgN4TiB2Mn4NKIWD8zv9NrhWppzgL2Az5fPj8OeDAiDs7MX9ds12+JPfuAiJhA8XP5W+B7wKHA1sDhwN+BkcDXI2JoZp7dW3V2RETc3sbLQ4GrIuJVgMzcvWeq6lL7UgSdl8vnp5dtHwMeo7jDz9kRMTAzv9Y7JXbK+cBewFfK52cB+wOfABLYBPg6xb+9E3ujwE7qB7wd+EdEfBm4NDMX9nJNXeksirtRXQV8iOKWom8F3k/RsfFu4PvAN4DxvVNix0TE5yhqPgH4C8V5fQW4FLiX4t/hTyPiyMy8urfqNOB1v/HAIZn5q1Ze+z/gzoj4C3Ax0CcDXkQs9y/HzGzrl24j+jDw8cy8GyAirqbo4bo2Ij6cmTeU2/XVrvBjgY9m5k0RsQMwGdi3Jrw+GhHPUoS/PhXwgCnAEcA9wF11r+1A8UvmhZ4uqgvV/1FxEPCZzPxF+fyxiHiR4n7efTHgHQSMycz7ap4fnZm3lM//GhHTgOvomwGvieJe6gcCXwVOjYjvAldm5n97tbKucQjF/y13RcS5wFRgr8y8s3z9/ogYR9GL2acCHvBZ4BOZ2fz/yv9FxKMUYW9EZn4jIqYAZwAGvApbAXhqGdtMB1bugVq6y/kUf41B2z1ZTRRd833JcIpeVwAyswn4XDn88NOI2J+iO76vWoPiDw0y896ImA5Mq9vmX8BKPV1YZ2XmUWUg/z5Fb/mE5qGw8i/wczPz8d6ssZOaWPwPiyaKUFvrH8AqPVZR95rF672VzWbTd3+P9QMWZeaFEXEZMA74NPCNiLif4o+Sv1HM1b6598rssKHAM+XnL1AMXdYPRc9m8WlLfcXKLPmz+BLFNJ7VKKa2PASs18N1LcaraLvfz4HLI2K3co5Mi4gYGBE7Az+imPvUV40EbgAeAYZmZv+lfPS1cAdF78+ZEbFibWNmfhb4CUXvwWG9UVgXuQ84OSKGAGTmepnZElgjYg3gW8CdvVNe52Tm74DNKX6R/DUiDujlkrpSP+B7EXFaRHwEuB84pvnF8kKZk4EHeqm+zrqCYhi9eYTga8C3IuKtABGxCUXvZF/9v7MlnGfmrMz8Vma+AxgN3ARsRtGz9/Neqq+zbgYuioixwGXATGBiRKwDLXOXvw30tVEdKOZi/09EvB0gIoZRjHL8KzOfLf/f/Arwx16ssc/+5dOXHEfxC/JGYHBEzOT1OXirAfMoJpqe0GsVdlJmvlZO1L+P4j+kCb1cUlf6HPBr4IWI+GDdEPOnKCayf4O+O0R7HMV/xJcBH619ISLGUATYv1EMJfVJmTmHotf1p8APIuJQ+l5Pcms+RjEPbQuK791GwICIOCUzX6AYEgPYs5fq66yTKDohboqI2cB/gA2BKRGxgOL31y8phsv6olZHOzLzIYren77uOIrQ82PgeYr5vRsDT0bECxS//x6lmFPZ1xwL/ALI8lxWpvj31vwH5PUUPZgf7p3yCl5F20MiYijFf8TrUHzj5wJPAw9n5qu9WVtXiYh3Abtk5qTerqUrlVfvbQNkZj7XyuvbAh/KzL44D6i5p+fNmfmfuvZ1gXcBd/XFqxRbU/aif4UiEO2SmcuaPtFnlD+nG2fm38vn+1N87/r0UhQRsQqwI0WAXQlYQDGN4A+Z+a/erK0zIuIw4Oq+eAVpZ0TEhhQXck0D7uvLF5ZExFYUf3TMAO7PzHll+6qZ+WKvFocBT5IkqXKcgydJklQxBjxJkqSKMeBJkiRVjAFPkiSpYgx4kiRJFWPAkyRJqhgDniRJUsUY8CRJkirGW5VJqoTyhu2HAW/LzCfa2G4ixd0sas2nuJ3SH4BvZebv29h/Q2AKxR0V1s/M/y6jrieADZZVP/DJzLxsObZbLhHRBFyemYd31XtK6jsMeJLeqM4CHis/XxF4C0VAvDsiDs3Mq5ay38eAORS3HDyE4l7TbfkcMLzm+aeBnYDxQO2t75YaKjvoUIogKukNyIAn6Y3qtsy8s7YhIr5NEbQujYh7MvPJVvb7GHA78FaKQNhmwMvMX9Qd430UAe8XbfU0dlZmXtld7y2p8TkHT5JK5Q3CPw2sQNHztpiIeA/wLmAycBOwaUSM7NEiJWk52IMnSTUy856IeBL4AHBC3csfLx/vBAYAJwGfBB7simNHxBHA8cA7gVeAW4EvNff0RcRbgX8DnwI2BQ6n+EP9d8CJmfnvmvdaYg5eROwFfBHYCphdnscXu7MnUVLvsAdPkpb0V+BdETG4uSEi+gMHA1MpAt39wDTg4IgY0tkDRsQ5wA8o5uWdWH6+L/DHMtjVmgh8GDgbuIAijN4TEW9q4/0PBm4EViv3Px94H/C7iFi1s/VLaiz24EnS/2/vbkI1n+IAjn+vSRYyykjdYeEl/abZKAplIYshTFNeFroiUzYoYpTGlMxCTWJI3hqawmRB3NFkNbIQZRrZiOsXyUhJFjdpvNzwWJzzrzPPfZ5p7jMLz/33/dTT+d/zP2/L3z1v/+UWa3oW0J2SvRo4F3g+MwcAETEP3AdsAd6etLOI2AhsA+aBW5r291NO9j5JCeg664ANmfljLfcRcBB4GNg+ov1TgN3AF8CVmflHzT9c680BL046fknTxxk8SVru1JoOmry5mr7b5HXPW0+yv83ADLCrC+4AMvMQZZn2xoho/yF/owvuarkPKMHbljHtXwbMAq90wV1T73LAAxlSzziDJ0nLrQP+oc7k1SXYWyn74n5olkyP1LxrI2I2M3+asL8Lapoj3i0A1wFnN3lfjSj3DWWpdpTzmzLHyMzDJzZESauJAZ4kNSJiBrgEWMjMpZp9A9DtU/t2TNU7KEupk5g5zrtupWWJcrq3ex62hhKUjrKmpoMx7yX1jEu0knSsayizZe81ed3y7DbgpqHfvfXdXSfR5/c13TDiXVBOvC42eReNKHcxI2boqu4+v2X1ImJvRNx9YsOUtFoY4ElSFRFrKYcRjgIvNHmbge+AZzJz/9DvJeBzyqnbKybs+kBNH6kziN14LgU2Ae+3e/OAO+u4unLXAxuBd8a0/xnwC7B16GTwVZT9g6dPOG5JU8olWkl980RE/DYi/63M/LD5e1NEnFefTwMupHx6bD0w1+ynu5myNLp3KMhqvQzsocziHVrpgDPzy4h4DrgfOFhPz85S7sRbpNxd1zoT+DQi9gDnUC5lXgCeHdP+UkQ8BLwOfBIR+4AzgAdqvVdXOmZJ080AT1LfzI3J/5ryibHOo83z38DPwMfAU5nZXlx8O/Av8Npx+nyT8smy2yLiwcz8c8WjLkFaAvcAT1MCu3ngscw8MlR2N7AW2An8RTkFuz0zfx/XeGbui4hfgR3Artr+gVrv6ATjlTTFZgYD99xK0mrQfMliZ2Y+/v+ORtI0cw+eJElSzxjgSZIk9YwBniRJUs+4B0+SJKlnnMGTJEnqGQM8SZKknjHAkyRJ6hkDPEmSpJ4xwJMkSeoZAzxJkqSe+Q9Vgy/jWWlTqgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sort by percentage of trees in good health\n",
+    "days = df.groupby('lda').sentiment.value_counts(normalize=True).unstack()\n",
+    "\n",
+    "# plot a stacked bar graph\n",
+    "p1 = days.plot(kind='bar', stacked = True, figsize=(10,6),\n",
+    "#                    title = 'Tree Health Across Boroughs', \n",
+    "                   color = ['red', 'goldenrod', 'green'], alpha = .70, fontsize=14)\n",
+    "\n",
+    "p1.set_title('Tweet Sentiment by Topic', fontsize=20, pad=10)\n",
+    "p1.set_xlabel('LDA Topic', fontsize=18, labelpad=10)\n",
+    "p1.set_ylabel('Sentiment', fontsize=18, labelpad=10)\n",
+    "p1.legend(['negative', 'neutral', 'positive'], facecolor='white', framealpha=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### Some definite affect on sentiment based on tweet topic"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2020-01-01 18:59:56</td>\n",
-       "      <td>-0.155556</td>\n",
-       "      <td>0.288889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2020-01-01 18:59:55</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.425000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2020-01-01 18:59:43</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2020-01-01 18:59:37</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2020-01-01 18:59:24</td>\n",
-       "      <td>0.271591</td>\n",
-       "      <td>0.648409</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "                 date  polarity  subjectivity\n",
-       "0 2020-01-01 18:59:56 -0.155556      0.288889\n",
-       "1 2020-01-01 18:59:55  0.012500      0.425000\n",
-       "2 2020-01-01 18:59:43  0.000000      0.000000\n",
-       "3 2020-01-01 18:59:37  0.000000      0.000000\n",
-       "4 2020-01-01 18:59:24  0.271591      0.648409"
+       "[(0,\n",
+       "  '0.058*\"facewithmedicalmask\" + 0.028*\"week\" + 0.023*\"today\" + 0.020*\"#staysafe\" + 0.019*\"order\" + 0.018*\"#lockdown\" + 0.016*\"employee\" + 0.015*\"crisis\" + 0.013*\"local\" + 0.013*\"box\"'),\n",
+       " (1,\n",
+       "  '0.064*\"new\" + 0.057*\"case\" + 0.049*\"death\" + 0.038*\"protest\" + 0.020*\"lockdown\" + 0.017*\"number\" + 0.017*\"fear\" + 0.015*\"news\" + 0.015*\"droplet\" + 0.013*\"country\"'),\n",
+       " (2,\n",
+       "  '0.052*\"home\" + 0.044*\"stay\" + 0.042*\"please\" + 0.040*\"safe\" + 0.040*\"keep\" + 0.039*\"hand\" + 0.023*\"take\" + 0.015*\"wash\" + 0.012*\"#socialdistancing\" + 0.012*\"sanitizer\"'),\n",
+       " (3,\n",
+       "  '0.045*\"trump\" + 0.014*\"business\" + 0.014*\"police\" + 0.013*\"fauci\" + 0.013*\"life\" + 0.011*\"say\" + 0.011*\"american\" + 0.011*\"rule\" + 0.010*\"positive\" + 0.010*\"second\"'),\n",
+       " (4,\n",
+       "  '0.052*\"social\" + 0.045*\"distancing\" + 0.034*\"spread\" + 0.030*\"protect\" + 0.021*\"others\" + 0.019*\"stop\" + 0.017*\"infected\" + 0.017*\"distance\" + 0.017*\"prevent\" + 0.016*\"help\"'),\n",
+       " (5,\n",
+       "  '0.025*\"state\" + 0.018*\"health\" + 0.016*\"worker\" + 0.014*\"patient\" + 0.012*\"medical\" + 0.012*\"care\" + 0.012*\"million\" + 0.012*\"community\" + 0.011*\"hospital\" + 0.011*\"testing\"'),\n",
+       " (6,\n",
+       "  '0.018*\"make\" + 0.015*\"cloth\" + 0.010*\"filter\" + 0.009*\"take\" + 0.009*\"stop\" + 0.009*\"good\" + 0.009*\"kill\" + 0.008*\"rollingonthefloorlaughing\" + 0.008*\"micron\" + 0.007*\"air\"'),\n",
+       " (7,\n",
+       "  '0.017*\"pandemic\" + 0.013*\"still\" + 0.013*\"think\" + 0.011*\"want\" + 0.010*\"thing\" + 0.010*\"day\" + 0.010*\"see\" + 0.010*\"without\" + 0.010*\"got\" + 0.009*\"store\"'),\n",
+       " (8,\n",
+       "  '0.044*\"risk\" + 0.034*\"u\" + 0.028*\"study\" + 0.023*\"reduce\" + 0.022*\"say\" + 0.021*\"eye\" + 0.020*\"nose\" + 0.019*\"mouth\" + 0.018*\"expert\" + 0.017*\"spread\"'),\n",
+       " (9,\n",
+       "  '0.018*\"test\" + 0.018*\"open\" + 0.013*\"riot\" + 0.013*\"public\" + 0.012*\"mandatory\" + 0.011*\"effective\" + 0.010*\"refuse\" + 0.010*\"foot\" + 0.009*\"glove\" + 0.009*\"week\"')]"
       ]
      },
-     "execution_count": 94,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts = masks[['date', 'polarity', 'subjectivity']]\n",
-    "masks_ts['date'] = masks_ts['date'].astype('datetime64[ns]')\n",
-    "masks_ts.head()"
+    "lda.print_topics()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Subjectivity\n",
+    "##### Use TextBlob to calculate the subjectivity of tweets"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "DatetimeIndex(['2020-01-01 18:59:56', '2020-01-01 18:59:55',\n",
-       "               '2020-01-01 18:59:43', '2020-01-01 18:59:37',\n",
-       "               '2020-01-01 18:59:24', '2020-01-01 18:59:20',\n",
-       "               '2020-01-01 18:59:20', '2020-01-01 18:59:16',\n",
-       "               '2020-01-01 18:59:09', '2020-01-01 18:58:57',\n",
-       "               ...\n",
-       "               '2020-06-10 19:59:45', '2020-06-10 19:59:44',\n",
-       "               '2020-06-10 19:59:44', '2020-06-10 19:59:43',\n",
-       "               '2020-06-10 19:59:43', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:41',\n",
-       "               '2020-06-10 19:59:41', '2020-06-10 19:59:40'],\n",
-       "              dtype='datetime64[ns]', name='date', length=6480, freq=None)"
+       "0    0.600000\n",
+       "1    0.560000\n",
+       "2    0.462963\n",
+       "3    0.000000\n",
+       "4    0.500000\n",
+       "Name: subjectivity_score, dtype: float64"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts.set_index('date', inplace=True)\n",
-    "masks_ts.index"
+    "df['subjectivity_score'] = df['tweet'].apply(lambda x: TextBlob(x).sentiment.subjectivity)\n",
+    "df.subjectivity_score.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>polarity</th>\n",
-       "      <th>subjectivity</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.004358</td>\n",
-       "      <td>0.369293</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-02</th>\n",
-       "      <td>-0.001089</td>\n",
-       "      <td>0.379444</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-03</th>\n",
-       "      <td>0.111727</td>\n",
-       "      <td>0.440448</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-04</th>\n",
-       "      <td>0.040365</td>\n",
-       "      <td>0.383991</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-05</th>\n",
-       "      <td>0.047351</td>\n",
-       "      <td>0.418947</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "            polarity  subjectivity\n",
-       "date                              \n",
-       "2020-01-01  0.004358      0.369293\n",
-       "2020-01-02 -0.001089      0.379444\n",
-       "2020-01-03  0.111727      0.440448\n",
-       "2020-01-04  0.040365      0.383991\n",
-       "2020-01-05  0.047351      0.418947"
+       "count    575949.000000\n",
+       "mean          0.370732\n",
+       "std           0.290762\n",
+       "min           0.000000\n",
+       "25%           0.050000\n",
+       "50%           0.397576\n",
+       "75%           0.565000\n",
+       "max           1.000000\n",
+       "Name: subjectivity_score, dtype: float64"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "masks_ts_daily = masks_ts.resample('D').mean()\n",
-    "masks_ts_daily.head()"
+    "df.subjectivity_score.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12955aeb8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x5c0a1cba8>"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZQAAAEACAYAAACUMoD1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAY3ElEQVR4nO3df3BlZ33f8bd2V+t7pXWLcR08JR0r3rW/IqHMeswPt9S1IdgzLYNxsNtSEmJ77PKrCTgUsHEAq0kBY8aOCy0lofjHmB1wycTEQDEpDKFT45KYBhyy8RdW5gKZuCm7jdld6UqWLfWPe5VeC0l7fzy6Z7V6v2Y063ue89zzfKXr+9FzzqN7RpaWlpAkaVDbqh6AJOnEYKBIkoowUCRJRRgokqQidlQ9gCpExGnAxUADmKt2NJK0adSACeAPMvNHKxu3ZKDQCpNPVD0ISdqkfgnYt3LjVg2UBsDNN9/M7t27e+7cbDZpNBpMTExQr9dLj+24s9XqBWu25hPXIDVPT0/zjne8A9rvoStt1UCZA9i9ezfPfe5ze+48MzPDtm3bmJycZHx8vPjgjjdbrV6wZms+cRWqedVLBV6UlyQVYaBIkoowUCRJRRgokqQiDBRJUhEGiiSpCANFklSEgdKn0dFRRkZGqh6GJB03tuofNg5kZGSED34JDt27f6jHPfXkndz91ucN9ZiS1C0DpU+HjjzBwcMLVQ9Dko4bnvKSJBVhoEiSijBQJElF9HQNJSIuA67NzPPbjy8HPgnMd+x2UWY+GBFnAbcD5wDTwOsy8+vtfsXbJEnV6mqGEhEjEXENrRuqdK6V3Qvcmpm7Or4ebLfdA9wPnALcBnwmIuob2CZJqlC3p7xuAq4AblmxfS/wrZU7R8RzgLOAmzNzITPvAA4CF21EW481S5I2QLenvG7LzOsi4krggo7te4HtEXELcBi4qf1GPwlMZ2bnutpsb9++AW33dVnH0zSbTWZmZnruNz8/f+ydNsjs7CxLS0tDPebc3NzT/t0KrHlrsObeNJvNddu7CpTMfGzltoioAQeAu4BLgXOBz0XED4BxYHZFl1lgbIPa1hQRU8CNq7U1Gg22bet9XcLo6GjPfUo5cOAACwvV/P1Lo9Go5LhVsuatwZrL9On7Dxszcw64sGPT1yJiH3AJ8FVg5bWNMeAorRAo3bbeOKeAqc5tEXEu8NDExASTk5PrdV9Va4byaM/9StizZ08lM5Tle1DXarWhHrsq1mzNJ6pBal5cXFy3ve9AiYgzgNdn5g0dm08CHgceAc6MiO2Z+dRyF1qzmekNaOtLvV7v657KVX6G19jYuhOyDVWr1bbMfbeXWfPWYM3dqdfXXwM1yN+hPA68ISLeGBHbIuIC4NXAvszcDzSAd0XEzva1l9OAL29E2wA1SJIK6TtQMvPHwCuAq2hdkP8YcHVmLq/6ehWtC/gHgWuBV2bm7Aa2SZIq1NMpr8y8E7iz4/EDwAvX2HcaeOmw2iRJ1fKjVyRJRRgokqQiDBRJUhEGiiSpCANFklSEgSJJKsJAkSQVYaBIkoowUCRJRRgokqQiDBRJUhEGiiSpCANFklSEgSJJKsJAkSQVYaBIkoowUCRJRRgokqQiDBRJUhEGiiSpCANFklSEgSJJKsJAkSQVsaOXnSPiMuDazDy//fgc4MPA3wcOAjdl5sfabZcDnwTmO57iosx8MCLOAm4HzgGmgddl5tfb/fpqkyRVq6sZSkSMRMQ1wD5gpL1tFPgs8AngmcDlwE0R8Y/b3fYCt2bmro6vB9tt9wD3A6cAtwGfiYj6gG2SpAp1e8rrJuAK4JaObX8X+KPM/GhmPpWZfwL8IfAP2u17gW+tfKKIeA5wFnBzZi5k5h20ZjcX9dvWW8mSpI3Q7Smv2zLzuoi4ErgAIDO/D7xqeYeIeAZwPvDx9qa9wPaIuAU4TOt02B3AJDCdmQsdz5/t7dv7bLuvyzqeptlsMjMz03O/+fn5Y++0QWZnZ1laWhrqMefm5p7271ZgzVuDNfem2Wyu295VoGTmY+u1R8TJtN7Uvw58ISJqwAHgLuBS4FzgcxHxA2AcmF3xFLPA2ABt641tCrhxtbZGo8G2bb2vSxgdHe25TykHDhxgYWHh2DtugEajUclxq2TNW4M1l+nT00X51UTEs4HPAz8E/llmLgFzwIUdu30tIvYBlwBfBVZe9xgDjtIKiH7a1pSZU8DUijGfCzw0MTHB5OTket1X1ZqhPNpzvxL27NlTyQyl0WgwMTFBrVYb6rGrYs3WfKIapObFxcV12wcKlIgI4MvAvbRWfz3V3n4G8PrMvKFj95OAx4FHgDMjYvvy/kDQms1M99nWl3q9zvj4eM/9RkZG+j3kwMbG1p2QbahardbX92szs+atwZq7U6+vvwaq70CJiF3AF4DbM/M9K5ofB94QET8EfpvWtZVXA+dn5v6IaADvioj3A68BTgO+nJmz/bT1W4MkqZxB/rDxcuBngLdGxNGOr3dn5o+BVwBX0bog/zHg6sxcXvX1KloX9w8C1wKvzMzZAdskSRXqaYaSmXcCd6787zX2fQB44Rpt08BLS7ZJkqrlR69IkoowUCRJRRgokqQiDBRJUhEGiiSpCANFklSEgSJJKsJAkSQVYaBIkoowUCRJRRgokqQiDBRJUhEGiiSpCANFklSEgSJJKsJAkSQVYaBIkoowUCRJRRgokqQiDBRJUhEGiiSpCANFklSEgSJJKmJHLztHxGXAtZl5fvvxWcDtwDnANPC6zPx6FW2SpGp1NUOJiJGIuAbYB4x0NN0D3A+cAtwGfCYi6hW1SZIq1O0pr5uAK4BbljdExHOAs4CbM3MhM+8ADgIXDbtt4O+CJGlg3Z7yui0zr4uIK4EL2tsmgenMXOjYL9vbtw+57b4u63iaZrPJzMxMz/3m5+f7OVwRs7OzLC0tDfWYc3NzT/t3K7DmrcGae9NsNtdt7ypQMvOxVTaPA7Mrts0CYxW0rSkipoAbV2trNBps29b7uoTR0dGe+5Ry4MABFhYWjr3jBmg0GpUct0rWvDVYc5k+PV2UX2EWWHn9Ygw4WkHbmjJzCpjq3BYR5wIPTUxMMDk5uV73VbVmKI/23K+EPXv2VDJDaTQaTExMUKvVhnrsqlizNZ+oBql5cXFx3fZBAuUR4MyI2J6ZT7W3BXAXrRVYw2zrS71eZ3x8vOd+IyMjx95pg4yNrTsh21C1Wq2v79dmZs1bgzV3p15ffw1U33+Hkpn7gQbwrojY2b6+chrw5WG39VuDJKmcQf+w8VW0LtIfBK4FXpmZsxW1SZIq1NMpr8y8E7iz4/E08NI19h1qmySpWn70iiSpCANFklSEgSIJqHb1ok4MgywblrRBXnvrwxw68sRQj3nqyTt5+8uq+6NdbX4GinQcOnTkCQ4eruITEXZWcEydKDzlJUkqwkCRJBVhoEiSijBQJElFGCiSpCIMFElSEQaKJKkIA0WSVISBIkkqwkCRJBVhoEiSijBQJElFGCiSpCIMFElSEQaKJKkIA0WSVISBIkkqwkCRJBUx0C2AI+IXgd9esXkc+HXgO8AngfmOtosy88GIOAu4HTgHmAZel5lfbz9nX22SpGoNNEPJzH2ZuWv5C3gjkMB/BPYCt3a2Z+aD7a73APcDpwC3AZ+JiPqAbZKkChU75RURpwMfAn45M39MK1C+tcp+zwHOAm7OzIXMvAM4CFzUb1upGiRJ/RvolNcKvwH8bmb+UfvxXmB7RNwCHAZuaofAJDCdmQsdfbO9fXufbff1M+Bms8nMzEzP/ebn54+90waZnZ1laWlpqMecm5t72r9bQZU1j4yMDP2Ynfw5n9gGqbnZbK7bXiRQ2rOT1wDPbT+uAQeAu4BLgXOBz0XED2hdY5ld8RSzwNgAbeuNbQq4cbW2RqPBtm29T9JGR0d77lPKgQMHWFhYOPaOG6DRaFRy3CpVUXOVry/w57xV9FPzsfqUmqH8S+APM7MBkJlzwIUd7V+LiH3AJcBXgZXXPcaAo7QCop+2NWXmFDDVuS0izgUempiYYHJycr3uq2rNUB7tuV8Je/bsqWSG0mg0mJiYoFarDfXYVamy5tYMZf9Qj9nJn/OJbZCaFxcX120vFSivAO5cfhARZwCvz8wbOvY5CXgceAQ4MyK2Z+ZTy11ozWam+2zrS71eZ3x8vOd+VZ6SGBtbd0K2oWq1Wl/fr83MmrcGa+5Ovb7+GqiBL8pHxDbgBcCDHZsfB94QEW+MiG0RcQHwamBfZu4HGsC7ImJnRFwJnAZ8ud+2QWuQJA2uxCqvU4FdwGPLG9qrvF4BXEXrgvzHgKszc3nV16uAC2it0roWeGVmzg7YJhU1Ojpa+QVyaTMZ+JRXZv4I+In/6zLzAeCFa/SZBl5ask0qaWRkhA9+CQ7dO/xrGbtPr+60pjSIksuGpRPKoSNPcPDw8FfUPXNXNav4pEH5WV6SpCIMFElSEQaKJKkIA0WSVISBIkkqwkCRJBVhoEiSijBQJElFGCiSpCIMFElSEQaKJKkIA0WSVISBIkkqwkCRJBVhoEiSijBQJElFGCiSpCIMFElSEQaKtIqRkZGqhyBtOt5TXse91976MIeOPDHUY+4+fWyox5NOBAaKjnuHjjzBwcMLQz3mM3cN93jSicBTXpKkIgaeoUTE24D3AZ3nJM4G/h7w0fZ/fxO4MjO/2+7zotJt2lijo6NeV5C0rhKnvPYCb8nM/7S8ISJqwEPAdcCngHcCnwb2ttvuLdlWoAatY2RkhA9+CQ7du3/ox/ZahrR5lAqUj6zY9hLgcGbeDRAR7wV+LSKeBzy7dFtmPlygDq2jiusY4LUMaTMZKFDas4YAro+I84DHgBtonZJ6ZHm/zHwqIqaBSVrBULqtr0BpNpvMzMz03G9+fr6fwxUxOzvL0tLSUI9ZZb0avrm5uaqHMDTLtVpzd5rN5rrtg85Qfgp4APgwcDlwMXAPcBMwu2LfWWAMGN+AtjVFxBRw42ptjUaDbdt6X5cwOjrac59SDhw4wMLCcH9rr7JeDV+j0ah6CENnzWX6DBQomfkD4MKOTZ+LiK8ATaC+Yvcx4CitECjdtt4Yp4Cpzm0RcS7w0MTEBJOTk+t1X1XrN/ZHe+5Xwp49eyqaoVRTr4ZvYmKCWq1W9TCGYm5ujkajYc1dWlxcXLd90FNee4GLM/Pmjs0n0QqUszv22w7sAZJWMFxduK0v9Xqd8fHxnvtVudppbGz4F6ld3bU1jAA7duygXq9X8jqrUq1W6+u9YDPrp+Z6feXv9E836Cmvo8BURPw58HngMuA84ArgPRFxFbAPuB74PvBt4ABwauE2SQM6Zdco77//SQ4dGf5qvlNP3sndb33e0I+rsgY95XUgIl5N65rJp4DvApdk5mMR8XJafzPyIeBbwOWZuQQ0N6BNUgFVrebTiWHgZcOZeR9w3yrbvwG8YI0+xdskSdXyo1ckSUUYKJKkIgwUSVIRBookqQgDRZJUhIEiSSrCQJEkFWGgSJKKMFAkSUUYKJKkIgwUSVIRBookqQgDRZJUhIEiSSrCQJEkFWGgSJKKMFAkSUUYKJKkIgwUSdpCRkZGNuy5B76nvCSpd6+99WEOHXli6Mc99eSdvP1loxvy3AaKJFXg0JEnOHh4oaKj79yQZ/WUlySpCANFklTEwKe8IuLngQ8Ce4AfAjdk5u9HxNuA9wGdJwnPzsy/jIgXAR8Fzga+CVyZmd9tP19fbZKkag00Q4mInwJ+F7gReAZwLfCJiNgN7AXekpm7Or7+MiJqwL3Are0+XwQ+3X6+vtokSdUb9JTXGcA9mfnZzFzMzP8GfAd4Pq1A+dYqfV4CHM7MuzNzAXgvcEZEPG+Ati1h4xb7HeO4G7jMUAJf2yeKgU55ZeYfA3+8/DgizgR+Fvg2EMD1EXEe8BitU2GfByaBRzqe46mImG5vf3afbQ/3M/5ms8nMzEzP/ebn5/s53MBO2TVayVLD3aePDfV42nqqem0vL6Gdm5sb6nGPhyDrp+Zms7lue7FlwxFxOvB54HbgCPAA8GHgcuBi4J6IeD4wDsyu6D4LjA3Qtt64pmidkvsJjUaDbdt6n6SNjm7MGu5uVLHU8Jm7qlraqK2kumW0O2k0GkM9YpXvIcv6qflYfYoESkT8HK0w+SLwq5m5CFzYscvnIuIrwD+hFQL1FU8xBhwdoG1NmTkFTK0Y77nAQxMTE0xOTq7XfVWtGcqjPfeTdHyamJigVqsN7XitGcr+oR1vNf3UvLi4uG57iVVe/wi4D/hAZn6gvW0vcHFm3tyx60nAPNAAru7ov53WCrGkFRr9tPWlXq8zPj7ec7/jYboqqZxardbXe8Fm1k/N9frK3+mfbqBAiYifphUmb8vM2zuajgJTEfHntGYulwHnAVcAjwOnRsRVwD7geuD7tK67HOizTZJUsUFXeV0DnAJ8KCKOLn8BLwZeDdxE63rKrwOXZOZjmdkEXg68CThE6/rK5Zm51G/bgDVIkgoYdJXXFCuuT6xw3xr9vgG8oGSbJKlafvSKJKkIA0WSVISBImnLGgF27Njhys1CvB+KpC3rlF2jvP/+Jzl0ZLh/E3KifvqEgSJpS/PTJ8rxlJckqQgDRZJUhIEiSSrCQJEkFWGgSJKKMFAkSUUYKJKkIgwUSVIRBookqQgDRZJUhIEiSSrCQJEkFWGgSJKKMFAkSUUYKJKkIgwUSVIRBookqQgDRZJUxKa7BXBEvAj4KHA28E3gysz8brWjkiRtqhlKRNSAe4FbgWcAXwQ+XemgJEnAJgsU4CXA4cy8OzMXgPcCZ0TE8yoelyRteZvtlNck8Mjyg8x8KiKm29sf7uF5agD79++n2Wz2PIiFhQVqc3/FyU8+2XPfQWyfqVGbe3LLHLfKY1vzcG21mqv8XtfmdjA9DUeOHGHnzp099f3e9773N0+zWvtmC5RxYHbFtllgbK0OETEF3Lha27vf/e5iAxuGv9hix63y2Na8NY691Y67fOzrf2/gp5kAHli5cbMFyixQX7FtDDi6VofMnAKmOrdFxGnAxUADmOtzLA8Bz++z72a01eoFa94qrLl7NVph8gerNY4sLS0NMKbhioh/CnwwM3+u/Xg7cAg4PzP/dMhjWcrMkWEes0pbrV6w5q3CmsvZbDOUrwCnRsRVwD7geuD7wLcrHZUkaXOt8srMJvBy4E20ZiYXA5dn5uaZZknSCWqzzVDIzG8AL6h6HJKkp9tUM5TjzL+tegBDttXqBWveKqy5kE11UV6SdPxyhiJJKsJAkSQVYaBIkoowUCRJRRgokqQiDBRJUhGb7g8bh6WbO0NGxDZaN/t6LbAI/FZmvm/YYy2ly5rrwG8Bl9J6/fxX4M2Z+fiQh1tEr3cAjYi7gZHM/KUhDbG4bmuOiDcDbwf+FvBV4KrMPDTMsZbS5Wt7FPj3wOXACPBZ4F+3P6Fj04qIy4BrM/P8NdqvB34NOAm4C3hrZj7Vz7GcoayihztD/irwYiCA84B/FRG/MKxxltRDzVPAzwDPAc4E/jZwy3BGWVavdwCNiEuB1wxndBuj25rbb0JvBV4KPAuYAW4e3kjL6eHn/CvAWcDu9r97aAXqphQRIxFxDa3PPVz1gyAj4pXA64AX0QrbFwNv7veYBsrqur0z5GuAWzLzYGZOA/+B1mxlM+q25hrwm5n515l5GPjPwD8c8lhL6foOoBHxd4APAHcMeYyldVvz64HfyMzvZuYcrc/P+8CQx1pKtzUHsJ3//764CMwPb5jF3QRcwfq/8L0G+J3MbGTm/wHezwDvYQbK6n7izpDA8p0h19wPyFX22Sy6qjkz35KZ/6Nj0yXAUG8dUFC3P2eAj9D6Db3KeyOV0G3N5wBjEfEnEfFXwG3A/x7aKMvqtubfAZ4L/DXwf2m9P946pDFuhNvap7nWPIVL4fcwA2V13d4ZcuV+69498jjXz90w3wJcBrxrA8e1kbqqOSL+BXByZn58WAPbQN3+nE8BrgZ+gdapkGfSCpXNqNuaR2mdCnsW8Gxa74+b9ppoZj7WxW6rvYfVI6Kve6V4UX513d4ZcuV+69498jjX9d0w2y+2DwC/DLwsM7+z8cPbEMesOSKeRetN5cLhDWtDdftzngc+nJkNgIj4d8DnN3x0G6Pbmu8ArsnMHwFExDuB32cTX0fpwmrvYTP93hLEGcrqHqH1WxnwN3eG3ENrOrjmfrTOwa7cZ7PoquaI2AF8ktZ9ac7LzP81zEEW1k3NFwGnA38aEY/TuqnbP4+Ih4c50IK6fW1/h9bqrmXbWePC7ibQbc0/TWuWsuxJYGHDR1etou9hzlBW1+2dIT8FXBcR/53W1PFXgH8zzIEW1G3N7wd+FnjxZl0q3OGYNWfmJ4BPLD+OiClgzyZeNtztz/ku4E0R8Rla1xPeA/yXYQ60oG5r/gLwm+2VTyO0PuJ9s9bcrU8Bt0TEvcBh4J20vkd9cYayivXuDBkRfxYRv9je9UO0XqzfBP4nrdUSv1fFmAfVTc0RsZPWksIA/iIijra/NuWsrIef8wmjx9f2x2m9vn8I/Ah4RwVDHlgPNb8BeJTWb+1/Ruti9nUVDHlDRcQXIuIGgPb71Udo/ZwfAR5ggGtl3g9FklSEMxRJUhEGiiSpCANFklSEgSJJKsJAkSQVYaBIkoowUCRJRRgokqQi/h/ZQa7MOsdn0QAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "masks_ts_daily['polarity'].plot(figsize=(20,10))"
+    "df.subjectivity_score.hist()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Look at the relationship between subjectivity and sentiment"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x12a2b0828>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x147c452b0>"
       ]
      },
-     "execution_count": 98,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.boxplot('subjectivity_score', 'sentiment')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### As expected, neutral tweets tend to be more objective, whereas positive and negative tweets are more subjective.\n",
+    "\n",
+    "###### How about between subjectivity and LDA topics?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
       "text/plain": [
-       "<Figure size 1440x720 with 1 Axes>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x147ea5cc0>"
       ]
      },
+     "execution_count": 63,
      "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "masks_ts_daily['subjectivity'].plot(figsize=(20,10))"
+    "df.boxplot('subjectivity_score', 'lda')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###### Some difference here but nothing too telling, given the generalness of LDA topics. Topic 0 is very objective.\n",
+    "###### Make sure our DataFrame has all the columns."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'conversation_id', 'created_at', 'date', 'tweet', 'hashtags',\n",
+       "       'user_id', 'username', 'name', 'link', 'retweet', 'nlikes', 'nreplies',\n",
+       "       'nretweets', 'quote_url', 'retweet_id', 'reply_to', 'sentiment_score',\n",
+       "       'sentiment', 'month', 'clean_tweet', 'lda_scores', 'lda',\n",
+       "       'subjectivity_score'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Save for good measure"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import datetime\n",
-    "\n",
-    "dates = []\n",
-    "start_date = datetime.date(2020, 1, 1)\n",
-    "end_date = datetime.date(2020, 6, 11)\n",
-    "delta = datetime.timedelta(days=1)\n",
-    "\n",
-    "while start_date <= end_date:\n",
-    "    dates.append(str(start_date))\n",
-    "    start_date += delta"
+    "# uncomment to save\n",
+    "# df.to_csv('Datasets/5k_jan_thru_may_tweets_plus_features.csv')"
    ]
   }
  ],
@@ -5805,7 +2023,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,
diff --git a/sentiment_stacked_line.png b/sentiment_stacked_line.png
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From d4da005d40ac656b20da0998dcadc56f51d8972b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9Cp-szymo=E2=80=9D?= <joshua.szymanowski@gmail.com>
Date: Wed, 17 Jun 2020 23:34:38 -0400
Subject: [PATCH 14/14] added explanations to functions

---
 functions.py | 120 ++++++++++++++++++++++++++-------------------------
 1 file changed, 61 insertions(+), 59 deletions(-)

diff --git a/functions.py b/functions.py
index e615864..69cefee 100644
--- a/functions.py
+++ b/functions.py
@@ -65,68 +65,69 @@ def search_loop(start_date, end_date, search, filename, username=None, drop_cols
 
 # emoticons
 def load_dict_emoticons():
-    
+    '''Dictionary of emoticons as keys and their word equivalents as values.'''
     return {
-        ":‑)":"smiley",
-        ":-]":"smiley",
-        ":-3":"smiley",
-        ":->":"smiley",
-        "8-)":"smiley",
-        ":-}":"smiley",
-        ":)":"smiley",
-        ":]":"smiley",
-        ":3":"smiley",
-        ":>":"smiley",
-        "8)":"smiley",
-        ":}":"smiley",
-        ":o)":"smiley",
-        ":c)":"smiley",
-        ":^)":"smiley",
-        "=]":"smiley",
-        "=)":"smiley",
-        ":-))":"smiley",
-        ":‑D":"smiley",
-        "8‑D":"smiley",
-        "x‑D":"smiley",
-        "X‑D":"smiley",
-        ":D":"smiley",
-        "8D":"smiley",
-        "xD":"smiley",
-        "XD":"smiley",
-        ":‑(":"sad",
-        ":‑c":"sad",
-        ":‑<":"sad",
-        ":‑[":"sad",
-        ":(":"sad",
-        ":c":"sad",
-        ":<":"sad",
-        ":[":"sad",
-        ":-||":"sad",
-        ">:[":"sad",
-        ":{":"sad",
-        ":@":"sad",
-        ">:(":"sad",
-        ":'‑(":"sad",
-        ":'(":"sad",
-        ":‑P":"playful",
-        "X‑P":"playful",
-        "x‑p":"playful",
-        ":‑p":"playful",
-        ":‑Þ":"playful",
-        ":‑þ":"playful",
-        ":‑b":"playful",
-        ":P":"playful",
-        "XP":"playful",
-        "xp":"playful",
-        ":p":"playful",
-        ":Þ":"playful",
-        ":þ":"playful",
-        ":b":"playful",
-        "<3":"love"
+        ":‑)": "smiley",
+        ":-]": "smiley",
+        ":-3": "smiley",
+        ":->": "smiley",
+        "8-)": "smiley",
+        ":-}": "smiley",
+        ":)": "smiley",
+        ":]": "smiley",
+        ":3": "smiley",
+        ":>": "smiley",
+        "8)": "smiley",
+        ":}": "smiley",
+        ":o)": "smiley",
+        ":c)": "smiley",
+        ":^)": "smiley",
+        "=]": "smiley",
+        "=)": "smiley",
+        ":-))": "smiley",
+        ":‑D": "smiley",
+        "8‑D": "smiley",
+        "x‑D": "smiley",
+        "X‑D": "smiley",
+        ":D": "smiley",
+        "8D": "smiley",
+        "xD": "smiley",
+        "XD": "smiley",
+        ":‑(": "sad",
+        ":‑c": "sad",
+        ":‑<": "sad",
+        ":‑[": "sad",
+        ":(": "sad",
+        ":c": "sad",
+        ":<": "sad",
+        ":[": "sad",
+        ":-||": "sad",
+        ">:[": "sad",
+        ":{": "sad",
+        ":@": "sad",
+        ">:(": "sad",
+        ":'‑(": "sad",
+        ":'(": "sad",
+        ":‑P": "playful",
+        "X‑P": "playful",
+        "x‑p": "playful",
+        ":‑p": "playful",
+        ":‑Þ": "playful",
+        ":‑þ": "playful",
+        ":‑b": "playful",
+        ":P": "playful",
+        "XP": "playful",
+        "xp": "playful",
+        ":p": "playful",
+        ":Þ": "playful",
+        ":þ": "playful",
+        ":b": "playful",
+        "<3": "love"
         }
 
 # self defined contractions
 def load_dict_contractions():
+    '''Dictionary of contractions as keys and their expanded words as values.'''
     
     return {
         "ain't": "is not",
@@ -352,8 +353,9 @@ def lda_getter(x):
     x_dict = dict(x)
     return int(max(x_dict, key=x_dict.get))
 
-def mask_pos_finder(text):
+def mask_pos_finder(text, word):
+    '''Find and return the part-of-speech tag for a particular word.'''
     pos = TextBlob(text)
     for tag in pos.tags:
-        if 'mask' in tag[0]:
+        if word in tag[0]:
             return tag[1]
\ No newline at end of file