Naive Bayes Classifier for Hotel Reviews

The project aims to create a naive bayes classifier which can classify hotel reviews as truthful positive, truthful negative, deceptive positive and deceptive negative. The classifier achieves a mean F1 score of 0.87

This project was an assignment for CSCI-544 Applied Natural Language Processing for spring-2022.