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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Vydáno v:	International journal of cognitive computing in engineering Ročník 5; s. 104 - 122
Hlavní autoři:	Kaur, Simrat, Singh, Sarbjeet, Kaushal, Sakshi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 2024 KeAi Communications Co., Ltd
Témata:	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
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