Automatic offensive language detection in online user generated contents

Toktarova A. Beissenova G. Nurtas M. Kozhabekova P. Azhibekova Z. Makhanova Z. Tulegenova B. Rakhymbek N. Baishemirov Z.
15 May 2021 Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2021 #99 Issue 9 2054 - 2067 pp.

Profanity on the pages of social networking networks is growing the number of problems social networking has. Easy and automated steps are necessary to control the amount of content that is generated on a daily basis. There is a significant research question concerning language instruction rather than the implementation methods. We are creating a dataset of internet users in Kazakhstan where they use social networks and the media to share their opinions. According to this report, it is the first time anybody has ever done a study focused on complaints from multiple social networks. We have classified our index in a variety of respects, one of which is to use derogatory terms. Furthermore, our results will not only explore the roots of offensive language, but will also present concepts that help in differentiating such types of offensive language, such as offensive language and cyberbullying. We use machine learning approaches to access the data sets we can use for the automated study of offensive language on social media. The results show that recognizing offensive language on social networks is a task that can be solved automatically and produces excellent results.

Classification , Detection , Hate speech , Machine learning , Natural language processing , Offensive language , Social media , Social networks

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Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
M.Auezov South Kazakhstan University, Shymkent, Kazakhstan
University of Friendship of People’s Academician A. Kuatbekov, Shymkent, Kazakhstan
International Information Technology University, Almaty, Kazakhstan
Kazakh-Britain Technical University, Almaty, Kazakhstan
Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan
Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
RSE Institute of Information and Computational Technology CS MES RK, Almaty, Kazakhstan

Khoja Akhmet Yassawi International Kazakh-Turkish University
M.Auezov South Kazakhstan University
University of Friendship of People’s Academician A. Kuatbekov
International Information Technology University
Kazakh-Britain Technical University
Asfendiyarov Kazakh National Medical University
Abai Kazakh National Pedagogical University
RSE Institute of Information and Computational Technology CS MES RK

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