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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Shynar Mussiraliyeva, Milana Bolatbek, Kymbat Baisylbayeva
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Text classification
NLP
machine learning
counter-extremism
social network analysis
Kazakh language
Online Access:https://ieeexplore.ieee.org/document/11119495/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11119495/

Similar Items