Movie-Recommendation-Sentiment-Analysis About Cosine Similarity based Movie Recommendation System using the TMDB 5000 dataset. To enhance the user experience, this system performs sentiment analysis on the reviews of the movie chosen using Machine Learning. Two of the supervised machine learning algorithms Naïve Bayes and Support Vector Machine are used to increase the accuracy and efficiency. The accuracy score of Support Vector Machine came out to be 98.63% whereas accuracy score of Naïve Bayes is 97.33%. Results:
