Classifier of speech aggression in Russian-language unstructured texts

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.