ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 7. Vol. 26. 2020

DOI: 10.17587/it.26.402-409

V. A. Gostyunina, Postgraduate Student, e-mail: lerusya93@list.ru, N. V. Davidyuk, Ph.D. Tech. Sciences, Assoc., e-mail: davidyuknv@bk.ru, Astrakhan State Technical University

Development and Research of a Combined Method for Classifying Textual Information by Destructive Indicators

As part of the work, the problem of identifying destructive information is considered, which reduces to the task of classifying the analyzed text information based on the presence or absence of destructive indicators. The article describes a universal combined method for classifying textual information by destructive indicators. The proposed method consists of three stages: data normalization, a modified dictionary search, and a Bayesian classifier. The article evaluates the performance of the described combined method.
Keywords: internet, destructive content, destructive indicator, classification of textual information, combined method, data normalization, automated search, Bayesian classifier, machine learning

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