Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i41/145554
Year: 2019, Volume: 12, Issue: 41, Pages: 1-6
Original Article
Somya Dwivedi, Harsh Patel and Shweta Sharma*
Department of Computer Science & Engineering, Faculty of Engineering & Technology, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India;
[email protected] , [email protected] , [email protected]
Background/objectives: Movie reviews have become an essential factor when it comes to describing the success or failure of a movie. Nowaday’s movie reviews influence people’s choice whether to watch a movie or not. Methods/findings: We have studied the various algorithms of machine learning for classifying the movie review comments by semantic means. People have become very specific with their choices, and they would prefer not to squander their time and cash on a motion picture having terrible reviews. Improvements/applications: This study provides a comparison between various machine learning algorithms which can be used for classifying the online movie reviews by semantic meaning. The principle target of the study is to find the best algorithm based on its efficiency and accuracy.
Keywords: Movie Reviews, Sentiment Analysis, NLP, Machine Learning
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