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Bigram Based Deep Neural Network for Extremism Detection in Online User Generated Contents in the Kazakh Language

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Advances in Computational Collective Intelligence (ICCCI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1463))

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Abstract

Countering the spread of aggressive information and extremism in the global network is an urgent problem of society and government agencies, which is solved in particular by filtering unwanted Internet resources. A necessary condition for such filtering is the classification of the content of websites, texts and documents of the information flow. Therefore, an urgent problem of information technologies is the classification of texts in natural languages in order to detect extremist texts, such as calls for extremism and other messages that threaten the security of citizens.

Therefore, our research examines the detection of extremist messages in online content in the Kazakh language. To do this, we have collected a corpus of extremist texts from open sources, developed a deep neural network based on bigrams for detecting extremist texts in the Kazakh language. The proposed model has shown high efficiency in comparison with classical methods of machine learning and deep learning.

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Authors and Affiliations

  1. Al-Farabi Kazakh National University, Almaty, Kazakhstan

    Shynar Mussiraliyeva, Batyrkhan Omarov, Milana Bolatbek, Kalamkas Bagitova & Zhanna Alimzhanova

Authors
  1. Shynar Mussiraliyeva
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  2. Batyrkhan Omarov
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  3. Milana Bolatbek
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  4. Kalamkas Bagitova
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  5. Zhanna Alimzhanova
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Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  2. VU Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  3. University of the West of England, Bristol, UK

    Elias Pimenidis

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Maleszka

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Mussiraliyeva, S., Omarov, B., Bolatbek, M., Bagitova, K., Alimzhanova, Z. (2021). Bigram Based Deep Neural Network for Extremism Detection in Online User Generated Contents in the Kazakh Language. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_45

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  • DOI: https://doi.org/10.1007/978-3-030-88113-9_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88112-2

  • Online ISBN: 978-3-030-88113-9

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