Prediction of rating based on review text of Yelp reviews

In this project, we aim to predict rating of businesses listed in the Yelp dataset based on review text. We also intend to classify the reviews as funny, useful or cool, the metric used by Yelp to evaluate user reviews. Linear regression and different classification techniques such as Näıve Bayes’ Classification and Support Vector Machines were used for different features.