Semi-automatic Tool for Parsing CVs and Identifying Candidates’ Abilities and Competencies

Abstract

This paper presents the design and implementation of a semi-automatic tool able to analyze a set of CVs in order to identify a suitable candidate for a particular job. The process is based on semantic processing of the resumes and matching their associated scoring with user-configured dictionaries. The purpose is to reduce the recruiter’s processing time by eliminating certain repetitive activities in the resume analysis procedure and to obtain a qualitative improvement by highlighting the competencies and qualities of candidates based on complex and customized semantic criteria.