Parser and histogram plotter for n-gram occurrences
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Updated
Apr 9, 2019 - Python
Parser and histogram plotter for n-gram occurrences
A distributed chinese n-gram language model implementation for train and test on large corpus , using Hadoop MapReduce.
Perspectives in computational social research term project that utilizes text analysis and predictive model to uncover the motivation for solo travel
Topic: Dependency Parsing on Sentences Generated by N-gram Language Model // Summary: Analyzed traits and limitations of the NLP through dependent parsing using a comment dataset from Twitch
Edit-distance algorithm for text-processing and scoring for each sentiment (+1, 0, -1).
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.
A desktop music information retrieval system. An experimental tool used for PhD research. A very fast symbolic music information retrieval system.
This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.
Measuring the performance of bigrams and trigrams in language modeling problems
CMPUT 497 Intro to NLP Assignment 2: Language detector
These are my projects for the natural language processing course.
StrainIQ is an n-gram based method to identify and quantify microbial communities in metagenomics samples.
This repository contains an implementation of N-Gram Language Models (unigram, bigram, and trigram) and a Beam Search Decoder for correcting text with random errors. The code is written in Python and utilizes the NLTK library for natural language processing tasks.
Social Media Rumor Trajectory Detection
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