Movie rating prediction using a trained Multinomial Naive Bayes Model to classify movie reviews as good and bad.

• Used the bag of words model to make a NLP Pipeline. Implemented stopwords removal and stemming to clean the data.

• Used Laplace smoothing to solve the problem of zero probability and further enhance the model.

• Technologies : Natural Language Processing Toolkit,scikit-learn