Class imbalance-sensitive approach based on PLMs for the detection of cyberbullying in English and Arabic datasets
Author:
Affiliation:
1. ENSI, RIADI Laboratory, University of la Manouba, Manouba, Tunisia
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2024.2313142
Reference69 articles.
1. Agrawal, Sweta, and Amit Awekar. 2018. “Deep Learning for Detecting Cyber- Bullying Across Multiple Social Media Platforms.” In European Conference on Information Retrieval, 141–153.
2. A Comparative Study of English-Arabic-English Translation Constraints among EFL Students
3. ALBayari R. and S. Abdallah. 2022. Instagram-Based Benchmark Dataset for Cyberbullying Detection in Arabic Text. Data. 7 83.
4. ALBayari, Reem, Sharif Abdullah, and Said A Salloum. 2021. “Cyberbullying Classification Methods for Arabic: A Systematic Review.” In The International Conference on Artificial Intelligence and Computer Vision, 375–385. Springer.
5. Translating Idiomatic Expressions from English Into Arabic: Difficulties and Strategies;Ali H.;Arab World English Journal (AWEJ),2017
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