Arabic Sentiment Analysis Using BERT Model-Reference-Cited by-同舟云学术

Arabic Sentiment Analysis Using BERT Model

Published:2021 Issue: Volume: Page:621-632
ISSN:1865-0929
Container-title:Advances in Computational Collective Intelligence
language:
Short-container-title:

Author:

Chouikhi Hasna^ORCID,Chniter Hamza,Jarray Fethi^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-88113-9_50

Reference29 articles.

1. Dragoni, M., Poria, S., Cambria, E.: OntoSenticNet: a commonsense ontology for sentiment analysis. IEEE Intell. Syst. 33(3), 77–85 (2018)

2. Oueslati, O., Cambria, E., Ben HajHmida, M., Ounelli, H.: A review of sentiment analysis research in Arabic language. Future Generation Comput. Syst. 112, 408–430 (2020)

3. Abdul-Mageed, M., Diab, M., Korayem, M.: Subjectivity and sentiment analysis of modern standard Arabic. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies short papers-Volume 2 Association for Computational Linguistics, pp. 587–591 (2011)

4. Shoukry, A., Rafea, A.: Sentence-level Arabic sentiment analysis. In: Collaboration Technologies and Systems (CTS) 2012 International Conference on IEEE, pp. 546-550 (2012)

5. Zaghouani, W.: Critical survey of the freely available Arabic corpora (2017). https://arxiv.org/abs/1702.07835

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