Development of automated system for analyzing the digital footprint of a social media user

Abstract

This paper proposes the technology for analyzing the digital footprint of the social network VKontakte user, based on algorithms for determining the manifestation of deviant behavior in written speech and classification of text publications using machine learning methods. The developed technology is implemented as a web application based on client-server architecture, which allows authorized users (HR-specialists) to receive reports generated and structured by the system on the nature of possible behavioral reactions of job candidates during the hiring process.