Comparative performance of ensemble machine learning for Arabic cyberbullying and offensive language detection.

Since cyberbullying impacts both individual victims and entire society, research on abusive language and its detection has attracted attention in recent years. Because social media sites like Facebook, Instagram, Twitter, and others are so widely accessible, hate speech, bullying, sexism, racism, ag...

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Detalles Bibliográficos

Publicado en:	Language Resources & Evaluation Vol. 58; no. 2; pp. 695 - 713
Autores principales:	Khairy, Marwa, Mahmoud, Tarek M., Omar, Ahmed, Abd El-Hafeez, Tarek
Formato:	Artículo
Publicado:	Springer Nature Jun2024
Materias:	Cyberbullying Machine learning Social media Online social networks Machine performance Invective
Acceso en línea:	Ver este registro en EBSCOhost