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Title

A Movie Review Sentiment Analysis using Machine Learning Techniques

Author

P. Lakshmi Surekha and A. Jayanthi

Vol. 25  No. 8  pp. 11-18

Abstract

A sentiment analysis is a process where the sentiment describes is a movement behind meaning and something like irritated, happy, optimistic, harmful etc. This paper explains about the sentiment behind movie reviews. One of the most recent trend applications of Artificial Intelligence is also a Machine Learning (ML), in which software, computers and peripheral devices perform via cognition (very similar to human brain). AI part is important role in sentiment analysis talk about movie reviews like Negative, Positive, somewhat negative, somewhat positive, positive. The obstacles observe in like Language Ambiguity, Sarcasm, sentence Negation, Terseness etc., Sentiment analysis is categorization of sentiment division and its a part of written/printed text, the main job of the sentiment analysis is to determine the spoken words or opinion of person in document format or text format, like ex. Positive, negative. It is useful in social network monitoring and it allows us to get benefit an overview of maximum number of public opinion about certain topics. This sentiment analysis describes about opinion mining from client with Emotional feelings like happy or unhappy. So in this paper we represent Sentiment analysis using Machine Learning based approach for movie review. In this proposed system classification of sentiment analysis of present movie rating accuracy results. The existing movie ratings across in internet services it has a base to future research and implementation of domain. Then the execution of Feature Selection & Classification Algorithms are included in Movie review sentiment analysis applications using Machine Learning.

Keywords

Movie review, Feature Selection Alg., Classification Alg Sentiment study, Data Mining, Opinion, Classifier.

URL

http://paper.ijcsns.org/07_book/202508/20250803.pdf