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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Sentiment Analysis on Movie Review Data Using Ensemble Vote Classifier Technique

Mr. A. Naresh, Dr. P. Venkata Krishna , Mr. M Bhavsingh , ,
1:Department of Computer Science ,Bharathiar University,Tamilnadu, India; 2: Department of Computer Science,Sri Padmavati Mahila Visvavidyalayam,Tirupati, India;3:Department of Computer Science and Engineering, G.Pullaiah College of Engineering and Technology,Kurnool,AP,India

Sentiment analysis is a procedure of investigating sentiments or feelings expressed in the text. It classifies whether the given text is positive or negative or sometimes neutral also, based on the classification level on a given document or sentence. To encourage the customers in better decision making and to find perspectives on others and furthermore helps in choosing the buy with the opinion of different customers. In this article a novel ensemble vote classifier technique with logistic regression, random forest and XGB classifiers is proposed and sentiment analysis on real-time movie review data is analyzed using proposed technique. Experimental results shows improved accuracy with balanced class weight compared to without balanced class weight.

Mr. A. Naresh,Dr. P. Venkata Krishna,Mr. M Bhavsingh."Sentiment Analysis on Movie Review Data Using Ensemble Vote Classifier Technique". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.8, Issue 07,pp.112-116, July - 2021, URL :,

Keywords : classifiers; Ensemble methods; machine learning; Sentiment analysis

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