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Detection of offensive content in the Kazakh language using machine learning and deep learning approaches

This article addresses the urgent need to detect destructive content, including religious extremism, racism, cyberbullying, and nation oriented extremism messages, on social media platforms in the Kazakh language. Given the agglutinative structure and rich morphology of Kazakh, standard natural lang...

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Autori principali: Milana Bolatbek, Moldir Sagynay, Shynar Mussiraliyeva, Zhastay Yeltay
Natura: Artigo
Lingua:Inglês
Pubblicazione: PeerJ Inc. 2025-08-01
Serie:PeerJ Computer Science
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Accesso online:https://peerj.com/articles/cs-3027.pdf
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