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Resume Parser with Natural Language Processing
  • Pornphat Sroison ,
  • Jonathan H. Chan
Pornphat Sroison
King Mongkuts University of Technology Thonburi

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Jonathan H. Chan
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Abstract

Because the online recruiting system has progressed, a large number of resumes were submitted. As a consequence, hiring new employees and reviewing a large number of resumes is a challenge for the human resource department or employer. Therefore, this system has helped employers by using an automated intelligent system based on natural language processing. This system can convert various formats of resumes to text format and can extract some important information. It is also possible to compare the applicant's resume and the job description to see the percentage of similarity as well. This system can assist the human resource department or employer in screening resumes before conducting interviews and finding the best candidate for the job position.