Sentiment Analysis in Machine Learning: A Comprehensive Literature Review

Authors

  • Pilli Isaac Paul Associate Professor Department of CSE, Rise Krishna Sai Gandhi Group of Institutions, Author
  • Angalakuduru Srinivasa Rao Associate Professor Department of CSE, Rise Krishna Sai Gandhi Group of Institutions. Author

Keywords:

Machine Learning (ML), SVM, Naïve Bayes, Sentiment analysis(SA).

Abstract

In this article there are different machine learning techniques which are used for sentiment analysis. Mostly sentiment analysis done by using machine learning classifier like SVM (support vector machine), Random Forest, Naïve Bayes. In this we are seeing some paper which are help new researcher to found a proper path for their new research. In this there is a proposed method of new research program. Social media is biggest medium to share people’s opinion on different topics. Sentiment analysis uses machine learning technique and without any human interruption machine will give and accurate sentiment of the people. Sentiment analysis turn text into positive, negative or neutral. So, any company or foundation or movie reviewer can take the opinion of the people and take further steps according that.

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Published

2021-01-21

How to Cite

Sentiment Analysis in Machine Learning: A Comprehensive Literature Review. (2021). International Journal of Engineering and Science Research, 11(1), 1-6. https://ijesr.org/index.php/ijesr/article/view/1128

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