Community Theme Analyser: Predicting Career Guidance in Online Social Networks

The article discusses the task of creating a tool to speed up career guidance diagnostics through development of an application on the VK Mini Apps platform. This application analyzes the topics of user subscriptions in “VKontakte” in order to provide personalized recommendations corresponding to the type of vocational guidance according to the Holland method (RIASEC). Research methods include web application development technologies. To create a model that predicts the user's professional type, data analysis and machine learning were used. The proposed approach allows not only to improve the process of professional self-determination, but also to make it more accessible and convenient for users who will be able to receive personalized recommendations based on their interests and preferences, which are expressed on social networks.