Özet:

One of the most promising areas of modern research is speech analysis for the purpose of identifying the mental state and assessing the mental health of the speaker / writer. In recent years, there has been an increased interest in solving problems of this kind with the use of methods and tools for computer linguistics and data mining. A separate scientific problem far from its solution and, undoubtedly, requiring consolidation of the efforts of psychologists, linguists and experts in the intellectual analysis of data, is the problem of diagnosing a propensity for autoaggressive behavior (and suicide as an extreme form of it) based on linguistic analysis of writing. This problem has not only theoretical, but also obvious practical significance. Using the methods of natural language processing, scientists analyze the texts (mostly English) of suiciders and build models that classify the text as belonging or not belonging to the suicider, and reveal the characteristics of such texts. At the same time, if earlier mainly the fiction texts of suiciders were analyzed, then in the newest works scientists study Internet texts (blogs, tweets, Facebook posts etc.) of persons who committed suicide or express their intention to commit it. The Russian language has long remained on the periphery of such studies. The article presents the results of studies aimed at identifying the linguistic features of Russian-language texts of persons who committed suicide, as well as persons prone to autoaggressive behavior. The studies used methods and techniques of corpus linguistics, computer linguistics, statistical analysis. Prospects for further research are indicated.

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