Automated classification of social media users on the basis of microblogs’ linguistic analysis

Abstract

A subsystem of linguistic analysis of microblogs was developed in order to design automated classification of social networks’ users. Development is an integral part of the general information system of intellectual analysis of naturallanguage content of social networks. As a result of the work, a chat bot for the Telegram messenger was developed, allowing the use the associative and emotional features of microblogs’ text to classify network users.