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Movie-Recommendation-System-Using-Sentiment-Analysis

Used CSV files from Kaggle (Links are given below) : IMDB Dataset : https://www.kaggle.com/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews. TMDB_5000_credits : https://www.kaggle.com/tmdb/tmdb-movie-metadata?select=tmdb_5000_credits.csv. TMDB_5000_movies : https://www.kaggle.com/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv. Movie : https://www.kaggle.com/grouplens/movielens-20m-dataset?select=movie.csv. Rating : https://www.kaggle.com/grouplens/movielens-20m-dataset?select=rating.csv

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System is going to filter out the best possible movies basis on some criteria in recommendation area even after analyzing and previewing the reviews of the particular movie using sentiment analysis theory.

python nlp machine-learning naive-bayes-classifier cosine-similarity count-vectorizer knn-classification pearson-correlation collaborativefiltering tfidf-vectorizer contentbasedfiltering

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