Movie Recommendation Systems using SentimentAnalysis and Cosine Similarity
Raghav Mehta and Shikha Gupta
Abstract
As Artificial Intelligence and Machine Learning is growing at a rapid rate over the past few years, so is the amount of data increasing exponentially on the internet. Due to this people find it difficult to choose the exact information they are looking for , learners find it difficult to suggest users exactly what they require. Here comes Recommendation Systems into picture to guide users towards the information according to their preferences. In context of Recommendation of Movies and TV shows on Online Streaming platforms ,this paper is aimed to explain making and implementation of Movie Recommendation Systems Using Machine Learning Algorithms, Sentiment Analysis and Cosine Similarity
Topics & Concepts
Cosine similaritySimilarity (geometry)Recommender systemComputer scienceContext (archaeology)Sentiment analysisThe InternetInformation retrievalArtificial intelligenceWorld Wide WebMachine learningPattern recognition (psychology)Image (mathematics)PaleontologyBiologyRecommender Systems and Techniques