A multilingual offensive language detection method based on transfer learning from transformer fine-tuning model

Offensive communications have invaded social media content. One of the most effective solutions to cope with this problem is using computational techniques to discriminate offensive content. Moreover, social media users are from linguistically different communities. This study aims to tackle the Mul...

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Vydané v:	Journal of King Saud University. Computer and information sciences Ročník 34; číslo 8; s. 6048 - 6056
Hlavní autori:	Fatima-zahra El-Alami, Said Ouatik El Alaoui, Noureddine En Nahnahi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Springer 01.09.2022
Predmet:	Multilingual Natural language processing Offensive language detection Social media Text classification Transfer learning
ISSN:	1319-1578
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