Extremist Ideology Classification in Kazakh: A Multi-Class Approach Using Machine Learning and Psycholinguistic Analysis

This paper presents a new approach for analyzing extremist content in the Kazakh language on social media using advanced machine learning and natural language processing techniques. With the rapid growth of online data, especially on social networks, there is an urgent need for tools that can identi...

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Bibliografische Detailangaben

Hauptverfasser:	Shynar Mussiraliyeva, Milana Bolatbek, Kymbat Baisylbayeva
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Text classification NLP machine learning counter-extremism social network analysis Kazakh language
Online-Zugang:	https://ieeexplore.ieee.org/document/11119495/
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