Resume Parser with Natural Language Processing

Pornphat Sroison · Jonathan H. Chan

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AI and HR Technologies Employer Branding and e-HRM Advanced Text Analysis Techniques

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.

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2020Automatic Extraction of Segments from Resumes using Machine Learning 2024Resume Parser and Job Recommendation System using Machine Learning 2021Intelligent Recruitment System Using NLP 2024Automated Resume Parsing and Ranking using Natural Language Processing 2025Developing an Intelligent Resume Screening Tool With AI ‐Driven Analysis and Recommendation Features 2023Job Applications Selection and Identification: Study of Resumes with Natural Language Processing and Machine Learning 2023Resume Parser using hybrid approach to enhance the efficiency of Automated Recruitment Processes

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