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...

Celý popis

Podrobná bibliografia

Vydané v:	International journal of cognitive computing in engineering Ročník 5; s. 104 - 122
Hlavní autori:	Kaur, Simrat, Singh, Sarbjeet, Kaushal, Sakshi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2024 KeAi Communications Co., Ltd
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!