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

Alexandra CERNIAN, Dorin CARSTOIU, Bogdan MARTIN


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.


Data mining, Semi-automatic tool, Recruitment, Semantic technologies.


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