Cyberbullying detection framework for short and imbalanced Arabic datasets

Cyberbullying detection has attracted many researchers to detect negative comments deployed on communication platforms as cyberbullying can take many forms: verbal, implicit, explicit, or even nonverbal. The successful growth of social media in recent years has opened new perspectives on the detecti...

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Detaylı Bibliyografya
Asıl Yazarlar: Malek Alzaqebah, Ghaith M. Jaradat, Dania Nassan, Rawan Alnasser, Mutasem K. Alsmadi, Ibrahim Almarashdeh, Sana Jawarneh, Maram Alwohaibi, Noha A. Al-Mulla, Nouf Alshehab, Suboh Alkhushayni
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Springer 2023-09-01
Seri Bilgileri:Journal of King Saud University: Computer and Information Sciences
Konular:
Arabic cyberbullying detection
Imbalance data
Machine learning
Deep learning
Optimization
Sample selection
Online Erişim:http://www.sciencedirect.com/science/article/pii/S1319157823002069
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