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Natural Language Processing in Python

This is a collection of the text processing and NLP implementations :

  • Term Frequency Word Cloud

    • A script to parse any PDF file and output a word cloud of the 50 most frequent terms.
  • Bayesian Autocorrect

    • A simple autocorrect based on Bayes Theorem inspired by Peter Norvig's Spell Checker to autocorrect an incorrectly spelt search term.
  • Corpus Build

    • A script that extracts text and compiles a corpus from a Wikipedia dump file using gensim.
  • Reddit Sentiment Analysis

    • This directory contains a web scraper that will scrape the names of the top 100 subreddits and a sentiment analyzer that will compute the sentiment of each subreddit from the polarity of the top 100 comments in the 'hot' section.

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