Movie Recommendation Systems using Sentiment Analysis and Cosine Similarity

Author:

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

Publisher

International Journal for Modern Trends in Science and Technology (IJMTST)

Subject

Ocean Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Movie recommendation system using taymon optimized deep learning network;Journal of Intelligent & Fuzzy Systems;2023-11-04

2. Sentirec - A Sentiment Analysis with Recommendation System;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01

3. Movie Recommendation System Using Machine Learning;IoT, Cloud and Data Science;2023-02-27

4. Multi-Featured Movie Recommendation Using Knowledge Graph;2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2023-01-05

5. Book Recommendation Considering Emotions and Sentiments for Good Health;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14

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