- 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%.
