A Résumé Evaluation System Based on Text Mining

Abstract

This study explored the application of interview robots on recruitment process. By adopting techniques including web crawling, text mining, and natural language processing, this study developed an effective system that matches job candidates with recruiters. The designed system analyzed electronic résumés in Traditional Chinese, on which the words were graded according to the job market on the Internet and implemented with techniques related to big data. The results demonstrated that the designed system identified the current demand on talent-seeking and quickly presented candidate rankings for a specific position, thereby fulfilling the needs of both job-hunting candidates and talent-seeking recruiters.