Resume Extractor

Abstract

Human Resources staff may handle large amount of resumes for job application everyday. It is always a tedious work for them to read and get the information from these resumes. Besides, as the amount of applicants is large, it is hard to find the right person who suits the job. A resume auto analysis system would offer a big help for recruitment. Although some of the recruiters are making use of the existing resume analysis product in the market, they may not simplify their works. Information of the applicants may be missed and resumes are not properly extracted due to the limitation of the existing products. The Resume Extractor is to refine the resumes analysis processing. It aims at the correctness of the information being extracted by applying techniques like hidden Markov models and Bayes Classification into the system. Employers and HR staff may then enjoy a more accurate software that can obtain useful information immediately to shorten the processing time in recruitment.