Cyberbullying detection solutions based on deep learning architectures

Cyberbullying is disturbing and troubling online misconduct. It appears in various forms and is usually in a textual format in most social networks. Intelligent systems are necessary for automated detection of these incidents. Some of the recent experiments have tackled this issue with traditional m...

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Veröffentlicht in:	Multimedia systems Jg. 29; H. 3; S. 1839 - 1852
Hauptverfasser:	Iwendi, Celestine, Srivastava, Gautam, Khan, Suleman, Maddikunta, Praveen Kumar Reddy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial intelligence Bullying Cleaning Communication Computer Communication Networks Computer Graphics Computer Science Crowdsourcing Cryptology Cyberbullying Data Storage Representation Datasets Deep learning Effectiveness Empirical analysis Machine learning Memory Multimedia Information Systems Operating Systems Recurrent neural networks Role of Deep Learning Models & Analytics in Industrial Multimedia Environment Social networks Special Issue Paper Stalking Teenagers Deep learning Mining NLP Cyberbullying Social media Emotions
ISSN:	0942-4962, 1432-1882
Online-Zugang:	Volltext
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