Sentiment analysis on the impact of coronavirus in social life using the BERT model

Author:

Singh Mrityunjay,Jakhar Amit Kumar,Pandey Shivam

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference28 articles.

1. Agarwal A, Xie B, Vovsha I, Rambow O, Passonneau RJ (2011) Sentiment analysis of twitter data. In: Proceedings of the workshop on language in social media (LSM 2011), pp 30–38

2. Agarwal B, Mittal N (2013) Optimal feature selection for sentiment analysis. In: International conference on intelligent text processing and computational linguistics, Springer, pp 13–24

3. Ahuja S, Dubey G (2017) Clustering and sentiment analysis on twitter data. In: 2017 2nd international conference on telecommunication and networks (TEL-NET), IEEE, pp 1–5

4. Akhtar MS, Ghosal D, Ekbal A, Bhattacharyya P, Kurohashi S (2018) A multi-task ensemble framework for emotion, sentiment and intensity prediction. Preprint arXiv:1808.01216

5. Alhajji M, Al Khalifah A, Aljubran M, Alkhalifah M (2020) Sentiment analysis of tweets in saudi arabia regarding governmental preventive measures to contain covid-19

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