Sentiment Analysis in Online Learning Environment: A Systematic Review-Reference-Cited by-同舟云学术

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Sentiment Analysis in Online Learning Environment: A Systematic Review

Published:2021 Issue: Volume: Page:353-363
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Sharma Sarika,Tyagi Vipin,Vaidya Anagha

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-88244-0_34

Reference48 articles.

1. Clarizia, F., Colace, F., De Santo, M., Lombardi, M., Pascale, F., Pietrosanto, A.: E-learning and sentiment analysis: a case study. In: Proceedings of the 6th International Conference on Information and Education Technology (ICIET 2018). Association for Computing Machinery. In book: Cyberspace Safety and Security, pp. 291–302 (2018)

2. Kechaou, Z., Mahmoud, A.B., Alimi, A.: Improving e-learning with sentiment analysis of users’ opinions. In: Proceedings, 2011 IEEE Global Engineering Education Conference (EDUCON), pp. 1032–1038 (2011)

3. Mäntylä, M.V., Graziotin, D., Kuutila, M.: The Evolution of sentiment analysis. Comput. Rev. 27, 16–32 (2018)

4. Prabowo, R., Thelwall, M.: Sentiment analysis: a combined approach. J. Inform. 3(2), 143–157 (2009)

5. Ray, P., Chakrabarti, A.: A mixed approach of deep learning method and rule-based method to improve aspect level sentiment analysis. Appl. Comput. Inform. (2020, Article in press)

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1. Sentiment analysis in learning resources;Journal of Computers in Education;2022-09-05

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