The sent analysis .ipynb consists of the code for the convulational network model and preprocessing text data for sentiment analysis of the datase of size 1.6 million in the link https://www.kaggle.com/bittlingmayer/amazonreviews?select=train.ft.txt.bz2
amazon_tweets.csv consists of 360000 tweets with keyword amazon scraped using twitter api and the code given in tweet_scraping.ipynb
sent1model.h5 contains a saved version of our trained model
plots.ipynb has code for predicting the labels for the amazon_tweets.csv dataset and plotiing pie chart and wordclouds(whose .png files have also been uploaded here)