A Sentiment Analysis Framework for Movie Reviews with Recommendations Using Cosine Similarity Matching
摘要
A recommendation system is a program designed to predict a user’s potential interest or rating for a specific item, such as a movie. Its primary purpose is to provide users with a list of ten movie suggestions based on their search preferences. The system achieves this by analysing the attributes and details of the movie the user searches for, utilizing content-based filtering techniques. In addition to suggesting movies, the system offers comprehensive details about the searched movie, including its rating, release date, cast, genres, and additional information about the cast. To enhance user experience, the system employs sentiment analysis to classify reviews as either ‘Good’ or ‘Bad’, enabling users to quickly grasp the overall sentiment of the reviews.