Detecting Offensive Language on Malay Social Media: A Zero-Shot, Cross-Language Transfer Approach Using Dual-Branch mBERT

Social media serves as a platform for netizens to stay informed and express their opinions through the Internet. Currently, the social media discourse environment faces a significant security threat—offensive comments. A group of users posts comments that are provocative, discriminatory, and objecti...

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Autors principals:	Xingyi Guo, Hamedi Mohd Adnan, Muhammad Zaiamri Zainal Abidin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-07-01
Col·lecció:	Applied Sciences
Matèries:	cross-language model offensive language detection mBERT unsupervised methods transfer learning
Accés en línia:	https://www.mdpi.com/2076-3417/14/13/5777
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