Approaches to Construct a Psychological Portrait of Users Based on Analysis of Data in Open Profiles of Social Networks

Abstract

Most of the free time a modern Internet user spends in various social networks, while publishing various information, news from his life, interested in content, communicating with friends. This paper presents approaches to the construction of psychological analysis on the basis of data posted by the user in the public domain on his page in the social network. The paper describes the algorithms of machine learning and construction of a neural network designed to solve this problem, as well as the results obtained.