This project performs the Sentiment analysis of sample Amazon reviews:

Files:

1.) tf.py :Creates a tf-idf representation of each review in the input file

2.) tf-predict.py :Performs Linear regression with stochastic gradient over the training data

3.) WordtoVec.py :Computes a distributed vector representation of words.

4.) bag_of_words.py :Creates a bag-of-words representation created on top of word2vec features.

5.) gradient_boost.py for Regression :Aims at improving the sentiment analysis model. The input can be varied, taking into use the different pickle files.