An ensemble transformer-based model for Arabic sentiment analysis

Author:

Mohamed Omar,Kassem Aly M.,Ashraf Ali,Jamal Salma,Mohamed Ensaf Hussein

Publisher

Springer Science and Business Media LLC

Subject

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

Reference89 articles.

1. Abbes I, Zaghouani W, El-Hardlo O, Ashour F (2020) DAICT: a dialectal arabic irony corpus extracted from twitter. In Proceedings of the 12th Language Resources and Evaluation Conference. European Language Resources Association, Marseille, France, 6265–6271. https://aclanthology.org/2020.lrec-1.768

2. Abdelali A, Hassan S, Mubarak H, Darwish K, Samih Y (2021) Pre-Training BERT on Arabic Tweets: Practical Considerations. arXiv preprint arXiv:2102.10684

3. Abdel-Salam Reem (2021) WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT. In Proceedings of the Sixth Arabic Natural Language Processing Workshop. In: Association for Computational Linguistics, Kyiv, Ukraine (Virtual), 306–311. https://aclanthology.org/2021.wanlp-1.37

4. Abdul-Mageed M, Elmadany A, Nagoudi E, Moatez B (2021) ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, 7088–7105. https://doi.org/10.18653/v1/2021.acl-long.551

5. Abo MEM, Raj RG, Qazi A (2019) A review on Arabic sentiment analysis: state-of-the-art, taxonomy and open research challenges. IEEE Access 7(2019):162008–162024

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