Creating intellectual support tools for recruiting procedures of innovative enterprise by using natural language processing methods

When conducting recruiting procedures for a modern innovative company, the task of creating automated solutions designed to objectively determine the competencies of an employee is most urgent. There have been de-scribed the results of an analytical review of methods that allow identifying the competencies of specialists based on semantic studies of texts generated by them, followed by analysis of the applicability of such solutions to perform specific recruiting procedures. There is given a description of an approach to creating collections of texts characterizing the competencies of the applicant for the vacancy, which are classified according to the time of text generation (retrospective experience /current activity) and interaction with co-authors. There have been considered the examples of using different methods of Natural language processing based on the vector representation of texts for solving specific tasks related to the assessment of the competencies of specialists and the tools for semantic analysis of texts.