Literature Survey of Lexicon based method and Machine Learning methods of Sentiment Analysis of Student’s Feedback

Authors

  • Shital A. Patil, Krishnakant P. Adhiya

Abstract

Internet-based applications are rapidly used in educational sector for understanding opinion of students using comment and feedback given by students. Process of gathering and analysing student’s opinions, thoughts, and impressions regarding various aspects is called sentiment analysis. Student’s opinions can be beneficial to Organisation and making decisions based on opinion. However, multiple challenges have been faced evaluation procedure.

Using natural language processing and text mining, Sentiment analysis identifies and extracts subjective information from the text.  This paper discusses a literature survey of the various method of Sentiment Analysis. This paper also discusses various methods of SA of Student’s feedback.

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Published

2023-01-12

How to Cite

Krishnakant P. Adhiya, S. A. P. . (2023). Literature Survey of Lexicon based method and Machine Learning methods of Sentiment Analysis of Student’s Feedback. Mathematical Statistician and Engineering Applications, 72(1), 2257–2261. Retrieved from https://www.philstat.org/index.php/MSEA/article/view/2842

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Articles