An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection

Fake news, hate speech and offensive language are related evil triplets currently affecting modern societies. Text modality for the computational detection of these phenomena has been widely used. In recent times, multimodal studies in this direction are attracting a lot of interests because of the...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Information systems (Oxford) Ročník 123; s. 102378
Hlavní autori:	Ayetiran, Eniafe Festus, Özgöbek, Özlem
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2024
Predmet:	BiLSTM-CNN Fake news Hate speech Inter-modal attention Multimodal content understanding Multimodal fusion Offensive language Unified modality Inter-modal attention Unified modality BiLSTM-CNN Hate speech Multimodal fusion Offensive language Fake news Multimodal content understanding
ISSN:	0306-4379, 1873-6076
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!