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Toxic language detection: a systematic review of Arabic datasets. (arXiv:2312.07228v2 [cs.CL] UPDATED)
cs.CL updates on arXiv.org arxiv.org
The detection of toxic language in the Arabic language has emerged as an
active area of research in recent years, and reviewing the existing datasets
employed for training the developed solutions has become a pressing need. This
paper offers a comprehensive survey of Arabic datasets focused on online toxic
language. We systematically gathered a total of 54 available datasets and their
corresponding papers and conducted a thorough analysis, considering 18 criteria
across four primary dimensions: availability details, content, annotation
process, …
arabic arxiv become cs.cl datasets detection language paper research review solutions survey training