Abstract
The developed information system allows to process and analyze various content (news, feedback, comments) based on Text mining algorithms to obtain information on the assessment of user perception of content and the assessment of society's social well-being. The system can be flexibly adapted to low-resource languages, and if possible, the user will be able to expand the search sources.Since the information space is overgrowing, individual scanners cannot effectively scan and analyze content. A horizontal scaling approach is used for such purposes.The system is not a tool for surveillance or surveillance of users of the social network. Designed for social research and to optimize the decision - making process important to the public.