Deep learning-based approaches for abusive content detection and classification for multi-class online user-generated data

•an abusive language detection model that perform multiclass classification of offensive language.•experimented with five deep learning models: Bi-LSTM, LSTM, Bi-GRU, GRU, and multi-dense LSTM.•dataset is classified in to three levels: offensive language categorization (Level A), offensive language...

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Veröffentlicht in:	International journal of cognitive computing in engineering Jg. 5; S. 104 - 122
Hauptverfasser:	Kaur, Simrat, Singh, Sarbjeet, Kaushal, Sakshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2024 KeAi Communications Co., Ltd
Schlagworte:	Abusive language Deep learning models Gated recurrent unit Long short term memory Offensive language Offensive language categorization Target identification Gated recurrent unit Deep learning models Target identification Offensive language Offensive language categorization Abusive language Long short term memory
ISSN:	2666-3074, 2666-3074
Online-Zugang:	Volltext
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