Artificial Intelligence, Intelligence Systems, Neural Networks

Article # 16_2019

31 p.

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Natalia Kiselnikova, Evgeniya Kuminskaya, Andrey Latyshev, Vitaly Fralenko, Mikhail Khachumov
Tools for the analysis of the depressed state and personality traits of a person

The analysis of works dedicated to the identification of a stable relationship between personality traits and a person’s depression is carried out according to a complex of information available in social networks. The importance of automated problem solving is determined by the need to timely detect signs of depression as a widespread mental illness in order to take measures for its prevention and treatment in the early stages. The article discusses the issues of building mechanisms for identifying patterns and building modern tools for analyzing social network data for conducting scientific research in the subject area. As tools for identifying depression, it is proposed to apply modern methods of automatic analysis of web pages, formalize the identification of destructive information on psychologists’ proposals, test hypotheses about the presence of correlation links, automatically classify text-graphic information using an artificial neural network device in combination with semantic and psychological methods data analysis. On the basis of the studies performed, it was shown that there is a significant correlation between various gradations of depression and some personality traits, as well as the presence of a stable correlation between the personality traits of the Big Five. (In Russian).

Key words: personality traits, Big Five, social network, depression, Big Data, automatic analysis, web page, correlation, artificial neural network, psychological portrait.

article citation

 DOI

https://doi.org/10.25209/2079-3316-2019-10-3-129-159