This repository contains a classifier used for sentiment analysis of product reviews. The training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.
A Sequential neural network model was built to train the movie reviews data set. Training for 20 epochs resulted in the best testing accuracy of 84%. A GUI was built to input and test different reviews.
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