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

2. 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.