Twitter sentiment analysis

A Twitter sentiment analysis application. Andela Kenya Class XIV Boot Camp Project.

Twitter sentiment analysis is a Python command line app that gives sentiment and emotion analysis of tweets from a specified twitter handle .

Main Features

• Allow users to input a twitter handle
• Allow users to find the frequency of words in the tweets used
• Allow users to analyze the tweet sentiments

you can find it here https://github.com/faithngetich/Twitter-sentiment-analysis

Getting your own instance of twitter sentiment analysis

1. Install python

Download Python onto your computer by using the following links

Windows - Python Downloads Mac - Python for Mac OS X Ubuntu - install python2.x and python2.x-dev packages Other systems - see the general download page

2. Clone this repository. Type Python. If you have Python installed, you should see a response that includes the version number. Clone the repository to your local folder of your choice

$ git clone https://github.com/faithngetich/Twitter-sentiment-analysis.git

3. Open Git Bash

4. Install project dependencies via pip. It's recommended that you do this in a virtualenv

   $ pip install -r requirements.txt

5. Activate the virtual environment

   $ source venv\bib\activate

6. Run a tweet_cmd.py file.

   $ python tweet_cmd.py -i

7. Enter this command.

   $ fetch twitterhandle

8. Enter the frequency command.

   $ frequency

9. Enter the sentiment command.

   $ sentiment

Dependencies

  To run the app you need to install all the modules used in the code. Install the modules by installing the requirements.txt

Issues