A Literature Review on Sentiment Analysis Using Machine Learning in Education Domain-Reference-Cited by-同舟云学术

A Literature Review on Sentiment Analysis Using Machine Learning in Education Domain

Published:2023 Issue: Volume: Page:191-207
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
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Author:

Bhagat Bhavana P.,Dhande-Dandge Sheetal S.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7041-2_15

Reference29 articles.

1. Archana Rao PN, Baglodi K (2017) Role of sentiment analysis in education sector in the era of big data: a survey. Int J Latest Trends Eng Technol, 022–024

2. Altrabsheh N, Cocea M, Fallahkhair S (Nov 2014) Sentiment analysis: towards a tool for analysing real-time students feedback. In 2014 IEEE 26th international conference on tools with artificial intelligence. IEEE, pp 419–423

3. Pong-Inwong C, Rungworawut WS (Aug 2014) Teaching senti-lexicon for automated sentiment polarity definition in teaching evaluation. In: 2014 10th international conference on semantics, knowledge and grids. IEEE, pp 84–91

4. Rajput Q, Haider S, Ghani S (2016) Lexicon-based sentiment analysis of teachers’evaluation. Appl Comput Intell SoftComput

5. Balahadia FF, Fernando MCG, Juanatas IC (May 2016) Teacher's performance evaluation tool using opinion mining with sentiment analysis. In: 2016 IEEE region 10 symposium (TENSYMP). IEEE, pp 95–98

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