Sentiment Analysis on Movie Reviews

Practice Competition on Kaggle
Competition Website
Individual Practice Work

Task

Classify the sentiment of sentences from the Rotten Tomatoes dataset

Source

Bash

• get-glove.sh downloads glove vectors from stanford.edu
• requirements.sh fulfils package requirements

Python

• glove.py loads glove vectors (found it on standford.edu and adapted it for my needs)
• models.py contains model definitions
• visualize.py plots visualizations
• utils.py stores utility functions
• sentiment.py is the main program

Requirements

• nltk
• numpy
• matplotlib
• keras
• scikit-learn
• pandas
• graphviz
• pydot

If conda is installed, run requirements.sh script and supply python3 environment name.

bash requirements.sh

Instructions

1. Clone the repository git clone https://github.com/pawanmsr/sentiment-analysis-on-movie-reviews.git
2. Install all the necessary packages mentioned in Requirements
3. Download the kaggle dataset from Competition Website and extract it inside the cloned repository
4. Run sentiment.py

python sentiment.py ARGUMENTS

Enter python sentiment.py -h for help

Methods

TODO: describe various models used