Model for Classifying Verbal Aggression in Unstructured Texts
https://doi.org/10.55648/1998-6920-2025-19-2-81-88
Abstract
A software package for automatic classification of aggressive vocabulary in unstructured texts in the information space is considered, taking into account the contextual analysis of statements at the lexical-semantic level and justification for the choice of a vectorizer and the most optimal classification for machine learning.
About the Authors
Irina Evgenievna Voronina
Voronezh State University
Russian Federation
Doctor of Engineering Sciences, Professor of the Department of Software and Information SystemsAdministration, Voronezh State University
Russian Federation
Doctor of Engineering Sciences, Professor of the Department of Software and Information SystemsAdministration, Voronezh State University
Marina Konstantinovna Pastrevich
Voronezh State University
Russian Federation
lecturer, Department of Software and Information Systems Administration, Voronezh StateUniversity
Russian Federation
lecturer, Department of Software and Information Systems Administration, Voronezh StateUniversity
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For citations:
Voronina I.E., Pastrevich M.K. Model for Classifying Verbal Aggression in Unstructured Texts. The Herald of the Siberian State University of Telecommunications and Information Science. 2025;19(2):81-88. (In Russ.) https://doi.org/10.55648/1998-6920-2025-19-2-81-88
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