Arabic hate speech detection system based on AraBERT

Author:

Salomon Palé Ollo1,Kechaou Zied2,Wali Ali2

Affiliation:

1. Higher Institute of Computer, Science and Multimedia of Sfax,sfax,tunisia

2. REGIM-lab: Research Groups on Intelligent Machines universty of sfax, national engineering school of sfax (ENIS),sfax,tunisia

Publisher

IEEE

Reference25 articles.

1. Automated Hate Speech Detection and the Problem of Offensive Language

2. Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets;abuzayed;European Language Resources Association,2020

3. LSTM-CNN Deep Learning Model for Sentiment Analysis of Dialectal Arabic

4. A Comparison of Classical Versus Deep Learning Techniques for Abusive Content Detection on Social Media Sites;che;Computer Science,2018

5. An online Arabic sentiment analyser;farha;Association for Computational Linguistics,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hate speech detection in the Arabic language: corpus design, construction, and evaluation;Frontiers in Artificial Intelligence;2024-02-20

2. Harmful Communication: Detection of Toxic Language and Threats on Swedish;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06

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