Classifier of speech aggression in Russian-language unstructured texts
https://doi.org/10.55648/1998-6920-2025-19-3-52-60
Abstract
The problems of classification of linguistic aggression in unstructured texts of the information space are considered. Various approaches to defining the concept of "linguistic aggression" are analyzed, as well as methods for its detection and assessment. Particular attention is paid to issues of automatic text processing for detecting aggressive statements. Existing algorithms and machine learning models used to solve this problem are described. In addition, the prospects for the development of text analysis technologies and their application in the fight against the spread of verbal aggression on the Internet are discussed.
About the Authors
Marina Konstantinovna Pastrevich
Federal State Budgetary Educational Institution of Higher Education Voronezh State University
Russian Federation
Department of Software and Information Systems Administration, lecturer
Russian Federation
Department of Software and Information Systems Administration, lecturer
Irina Evgenievna Voronina
Federal State Budgetary Educational Institution of Higher Education Voronezh State University
Russian Federation
Russian Federation
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For citations:
Pastrevich M.K., Voronina I.E. Classifier of speech aggression in Russian-language unstructured texts. The Herald of the Siberian State University of Telecommunications and Information Science. 2025;19(3):52-60. (In Russ.) https://doi.org/10.55648/1998-6920-2025-19-3-52-60
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