FORMATION OF MULTILAYER KNOWLEDGE GRAPHS BASED ON THEMATIC TEXTS MODELING

The paper considers the problem of forming multilayer knowledge graphs for use in intelligent analysis of social media data. The technology is based on the «soft» structuring of the existing document pool in accordance with the constructed topic model. Experimental testing of the technology and comparison of the formal properties of knowledge graph models obtained using topic modeling and the traditional method were conducted. The results of the comparison indicate the potential effectiveness of using multilayer knowledge graphs built on the basis of a topic model of texts when implementing intelligent data processing procedures in the conditions of multiple and dynamic subject areas.