Machine learning and artificial intelligence as a decision support systems for human capital management

Human capital and human resources are key success factors for multiple knowledge-based companies. Managing competences of employees is one of the most important areas for modern management science. This paper presents, an innovative algorithm based on natural language processing (NLP) and association analysis for recognition, assignment and evaluation of competences in a knowledge-rich organizations. An algorithm performs keywords extraction from applicant’s and employees resumes, which are used later on in a supervised phase. Achieved results - 71% of balanced accuracy in a case study suggest, that a system can recognize important correlations between competences and assigned projects.