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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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Principais autores: Milana Bolatbek, Moldir Sagynay, Shynar Mussiraliyeva, Zhastay Yeltay
Format: Artigo
Sprog:Inglês
Udgivet: PeerJ Inc. 2025-08-01
Serier:PeerJ Computer Science
Fag:
Abusive language
Hate-speech detection
NLP
Social media
Neural networks
Online social networks
Online adgang:https://peerj.com/articles/cs-3027.pdf
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