Linguistic parameters of Russian texts by suicides and persons with a high risk of self-destructive behaviour

Abstract

The problem of identifying the features of speech (both oral and written) of persons in different mental states and constructing mathematical models for classifying texts depending on the author's mental state is one of the topical and actively developed problems of modern computer and psychiatric linguistics. Most of these studies are based on the material of the English language. The work presents a review of the research devoted to the analysis of written texts of persons who commit suicide as well as persons with a high risk of self-destructive behaviour, with special attention paid to work done on the material of the Russian language. Prospects for further research are also outlined.

Keywords

• suicidal behavior
• corpus of texts
• computer linguistics
• personality recognition from text
• linguistic methods of mental health assessment
• Internet text
• social networks