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Movie Review Analysis

This project was done as part of the coursework for CS6120: Natural Language Processing.

Dataset

  1. IMDb 50k movie reviews dataset released by Stanford
  2. Reviews of The Shawshank Redemption scraped from IMDb

Here is a 3-min summary of the movie for better understanding of the results.

Two kinds of analysis were performed on the reviews of the movie, The Shawshank Redemption:

  1. Sentiment Analysis

  • Traditional supervised ML methods like Random Forest, Naive Bayes, and
  • Deep Learning models like LSTM and RNN

  1. Topic Modelling

  • LDA with BOW and TFIDF vector representations
  • NMF with BOW and TFIDF vector representations.

Code for them can be found in jupyter notebooks inside their respective folders.