|
Article #
16_2019
31
p.
/r2/pdf.jpg)
PDF |
submitted on 13th
June 2019 displayed on
website on 30th
Sept
2019 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. |
/r1/pdf.jpg){kind=small}
.
