TEXT-BASED DIAGNOSING OF AUTHOR'S SELF-AGGRESSIVE BEHAVIOR
Опе of the most urgent problems of author profiling is the problem of selection of relevant text parameters. Most researchers select the parameters without grounding on any theory. The article proposes the approach to author profiling which apply data on neurobiology of character and brain mechanisms of discourse production. Using methods of mathematical statistics and natural language processing, a set of correlations between the text author scores on FPI test and numerical values of text parameters have been calculated. Mathematical models to predict author personality are obtained on the basis of the correlations.