DEVELOPMENT TEXT CLASSIFICATION SOFTWARE TOOL BASED ON VECTOR SEMANTICS MODEL

Malevich Danila Denisovich, Malevich Danila Denisovich, Savranskij Nikita Sergeevich

This article presents a study on the development of a software tool for text classification taking into account the vector semantics model. The article provides an overview of modern text classification software. The relevance of the proposed research is substantiated, the object, subject of research, scope and limitations of the software are determined. The main problems solved by the software are formulated, and various mathematical methods, algorithms and software tools that can be used for software development are defined. The article concludes that a hybrid approach for text classification taking into account vector semantics models is promising and very popular in both scientific and practical terms.

Keywords:text classification, vector semantics, information security