Cyberbullying Detection: Hybrid Models Based on Machine Learning and Natural Language Processing Techniques

The rise in web and social media interactions has resulted in the efortless proliferation of offensive language and hate speech. Such online harassment, insults, and attacks are commonly termed cyberbullying. The sheer volume of user-generated content has made it challenging to identify such illicit...

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Veröffentlicht in:	Electronics (Basel) Jg. 10; H. 22; S. 2810
Hauptverfasser:	Raj, Chahat, Agarwal, Ayush, Bharathy, Gnana, Narayan, Bhuva, Prasad, Mukesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2021
Schlagworte:	Algorithms Artificial neural networks Bullying Classification Comparative studies Cyberbullying Datasets Feature extraction Hate speech Machine learning Natural language processing Neural networks Optimization Social networks User generated content
ISSN:	2079-9292, 2079-9292
Online-Zugang:	Volltext
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