Semantic Kernel as a Universal Instrument for Classification and Systematization of Unstructured Information in the Field of Human Capital

Abstract

This paper considers a technique and software complex for isolating the semantic kernel of a text array to ensure a high degree of accuracy in the selection of CVs for relevant vacancies, the requirements for which are specified in an arbitrary text form. Such selection makes it possible to compile a stable database of vacancies and a corresponding resume database. The availability of these two databases opens the path for further highly effective automated analysis of key skills, implemented on the basis of the semantic kernel.