Skip to main content

Tipp

Weitere Kapitel dieses Buchs durch Wischen aufrufen

2021 | OriginalPaper | Buchkapitel

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

verfasst von : Shynar Mussiraliyeva, Batyrkhan Omarov, Milana Bolatbek, Kalamkas Bagitova, Zhanna Alimzhanova

Erschienen in: Advances in Computational Collective Intelligence

Verlag: Springer International Publishing

share
TEILEN

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.
Literatur
1.
Zurück zum Zitat Diez-Olivan, A., Del Ser, J., Galar, D., Sierra, B.: Data fusion and machine learning for industrial prognosis: trends and perspectives towards Industry 4.0. Inf. Fusion 50, 92–111 (2019) CrossRef Diez-Olivan, A., Del Ser, J., Galar, D., Sierra, B.: Data fusion and machine learning for industrial prognosis: trends and perspectives towards Industry 4.0. Inf. Fusion 50, 92–111 (2019) CrossRef
3.
Zurück zum Zitat Kendzhaeva, B., Omarov, B., Abdiyeva, G., Anarbayev, A., Dauletbek, Y., Omarov, B.: Providing safety for citizens and tourists in cities: a system for detecting anomalous sounds. In: Luhach, A.K., Jat, D.S., Ghazali, K.H.B., Gao, X.-Z., Lingras, P. (eds.) Advanced Informatics for Computing Research: 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I, pp. 264–273. Springer Singapore, Singapore (2021). https://​doi.​org/​10.​1007/​978-981-16-3660-8_​25 CrossRef Kendzhaeva, B., Omarov, B., Abdiyeva, G., Anarbayev, A., Dauletbek, Y., Omarov, B.: Providing safety for citizens and tourists in cities: a system for detecting anomalous sounds. In: Luhach, A.K., Jat, D.S., Ghazali, K.H.B., Gao, X.-Z., Lingras, P. (eds.) Advanced Informatics for Computing Research: 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I, pp. 264–273. Springer Singapore, Singapore (2021). https://​doi.​org/​10.​1007/​978-981-16-3660-8_​25 CrossRef
5.
Zurück zum Zitat Ait-Mlouk, A., Jiang, L.: KBot: a knowledge graph based chatBot for natural language understanding over linked data. IEEE Access 8, 149220–149230 (2020) CrossRef Ait-Mlouk, A., Jiang, L.: KBot: a knowledge graph based chatBot for natural language understanding over linked data. IEEE Access 8, 149220–149230 (2020) CrossRef
6.
Zurück zum Zitat Alshemali, B., Kalita, J.: Improving the reliability of deep neural networks in NLP: a review. Knowle. Based Syst. 191, 105210 (2020). KBot: a Knowledge graph based chatBot for natural language understanding over linked data CrossRef Alshemali, B., Kalita, J.: Improving the reliability of deep neural networks in NLP: a review. Knowle. Based Syst. 191, 105210 (2020). KBot: a Knowledge graph based chatBot for natural language understanding over linked data CrossRef
8.
Zurück zum Zitat Mussiraliyeva, S., Bolatbek, M., Omarov, B., Bagitova, K.: Detection of extremist ideation on social media using machine learning techniques. In: Nguyen, N.T., Hoang, B.H., Huynh, C.P., Hwang, D., Trawiński, B., Vossen, G. (eds.) Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings, pp. 743–752. Springer International Publishing, Cham (2020). https://​doi.​org/​10.​1007/​978-3-030-63007-2_​58 CrossRef Mussiraliyeva, S., Bolatbek, M., Omarov, B., Bagitova, K.: Detection of extremist ideation on social media using machine learning techniques. In: Nguyen, N.T., Hoang, B.H., Huynh, C.P., Hwang, D., Trawiński, B., Vossen, G. (eds.) Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings, pp. 743–752. Springer International Publishing, Cham (2020). https://​doi.​org/​10.​1007/​978-3-030-63007-2_​58 CrossRef
9.
Zurück zum Zitat Altınel, B., Ganiz, M.C.: Semantic text classification: a survey of past and recent advances. Inf. Process. Manage. 54(6), 1129–1153 (2018) CrossRef Altınel, B., Ganiz, M.C.: Semantic text classification: a survey of past and recent advances. Inf. Process. Manage. 54(6), 1129–1153 (2018) CrossRef
10.
Zurück zum Zitat Murzamadieva, M., Ivashov, A., Omarov, B., Omarov, B., Kendzhayeva, B., Abdrakhmanov, R.: Development of a system for ensuring humidity in sport complexes. In: 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 530–535. IEEE (2021) Murzamadieva, M., Ivashov, A., Omarov, B., Omarov, B., Kendzhayeva, B., Abdrakhmanov, R.: Development of a system for ensuring humidity in sport complexes. In: 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 530–535. IEEE (2021)
11.
Zurück zum Zitat Sinoara, R.A., Camacho-Collados, J., Rossi, R.G., Navigli, R., Rezende, S.O.: Knowledge-enhanced document embeddings for text classification. Knowl. Based Syst. 163, 955–971 (2019) CrossRef Sinoara, R.A., Camacho-Collados, J., Rossi, R.G., Navigli, R., Rezende, S.O.: Knowledge-enhanced document embeddings for text classification. Knowl. Based Syst. 163, 955–971 (2019) CrossRef
17.
Zurück zum Zitat Armaan, K, Saini, J.K., Bansal, D.: Detecting radical text over online media using deep learning. Comput. Sci. Math. ArXiv abs/1907.12368 (2019) Armaan, K, Saini, J.K., Bansal, D.: Detecting radical text over online media using deep learning. Comput. Sci. Math. ArXiv abs/1907.12368 (2019)
18.
22.
Zurück zum Zitat Sun, S., Cao, Z., Zhu, H., Zhao, J.: A survey of optimization methods from a machine learning perspective. IEEE Trans. Cybern. 50(8), 3668–3681 (2019) CrossRef Sun, S., Cao, Z., Zhu, H., Zhao, J.: A survey of optimization methods from a machine learning perspective. IEEE Trans. Cybern. 50(8), 3668–3681 (2019) CrossRef
Metadaten
Titel
Bigram Based Deep Neural Network for Extremism Detection in Online User Generated Contents in the Kazakh Language
verfasst von
Shynar Mussiraliyeva
Batyrkhan Omarov
Milana Bolatbek
Kalamkas Bagitova
Zhanna Alimzhanova
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-88113-9_45

Premium Partner