Abstract
A curriculum vitae (CV) has become one of the most important documents for applying or hiring any job positions. The CV document is normally assessed by a hiring committee based on some predefined criteria. However, the assessment process is lengthy and fraught with human-engendered bias. To the best of our knowledge, none tool that is able to read and filter CV documents which are presented in texts form had been introduced. The purpose of this research is to create a tool that is able to screen and filter hundreds of CVs automatically. This paper proposed an approach based on natural language techniques to develop the tool. The tool can be considered as a decision support system (DSS) in recruiting new employees. One hundred seventy-eight CV documents were used to test the proposed approach. Obtained results suggest that the proposed approach is successful. (C) 2019 The Authors. Published by IASE.