Uniform Assessment Of The Company's Employee's Competence Using Natural Language Processing Methods For Their Further Use In Corporate Knowledge Management Systems

Introduction. The article determines the relevance of research in the field of creating uniform forms and methods for describing the knowledge, experience, and competencies of employees for their further accounting in corporate knowledge management systems; a comparative analysis of approaches to describing intellectual capital and employee competencies is presented. Approaches and methods. As a methodological basis, the functional subdivision of employee competencies is used according to the sources of its occurrence. The research is conducted based on an ontological approach and Natural Language Processing. The prospects of using the proposed set of methods for describing competencies are demonstrated. The results of the study. The paper shows that the most effective method of describing corporate knowledge, the carriers of which are the company's employees, is an educational-competence approach that divides such knowledge into four components: competencies acquired in the process of education, work experience, co-author activity, as well as Background knowledge. Moreover, the competencies themselves can be uniformly determined using comparative methods of linguistic analysis using frequency analysis of texts of documents related to the employee. Examples of solving specific problems by using Natural Language Processing methods in solving the tasks of assessing the competencies of employees are given. Discussion and conclusions. The work conducted has shown the possibility of creating a unified effective methodology for describing the professional competencies of the company's employees, which is an integral part of the general complex of corporate knowledge. The components of the methodology are already widely used in production practice.