The article is devoted to the methods of identifying
the user's of social networks psychological features and
construction on these features user's vulnerabilities profile on the
basis of the user's audio preferenses on his personal page in social
network VK.com. The description of the software that
implements these methods is illustrated in this article. The
development of the methodology is based on the generalization of
studies that are focused on identifying the correlation between
user's musical preferences and his psychological features. The
implementation of this method and the results of audio
recognition software testing are also described in this article.