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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Vydané v:	Multimedia systems Ročník 29; číslo 3; s. 1839 - 1852
Hlavní autori:	Iwendi, Celestine, Srivastava, Gautam, Khan, Suleman, Maddikunta, Praveen Kumar Reddy
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Predmet:	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
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