BERT-Based Ensemble Learning Approach for Sentiment Analysis-Reference-Cited by-同舟云学术

BERT-Based Ensemble Learning Approach for Sentiment Analysis

Published:2023 Issue: Volume: Page:118-128
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Chouikhi Hasna^ORCID,Jarray Fethi^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-35924-8_7

Reference30 articles.

1. Chouikhi, H.; Chniter, H. and Jarray, F.: Stacking BERT based models for Arabic sentiment analysis. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD, ISBN 978-989-758-533-3; ISSN 2184-3228, pp. 144-150 (2021). https://doi.org/10.5220/0010648400003064

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

3. Safaya, A., Abdullatif, M., Yuret, D.: KUISAIL at SemEval-2020 task 12: BERT-CNN for offensive speech identification in social media. In: Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 2054–2059 (2020)

4. Antoun, W., Baly, F., Hajj, H.: AraBERT: Transformer-based model for Arabic language understanding. arXiv preprint arXiv:2003.00104 (2020)

5. Devlin, J., Chang, M. W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

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