Resume Screening using Machine Learning

Sandeep Tayal, Taniya Sharma, Shivansh Singhal and Anurag Thakur

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024, vol. 10, issue 2, 602-606

Abstract: This study explores the utilization of Machine Learning (ML) and Natural Language Processing (NLP) in automating the resume screening process. Traditional methods, often manual and subjective, fail to efficiently manage the volume and variety of resumes. By employing NLP techniques like named entity recognition and part-of-speech tagging, coupled with ML classifiers such as K-Nearest Neighbors and Support Vector Machines, we propose a system that enhances the precision of candidate selection while significantly reducing time and effort.

Keywords: K-Nearest Neighbors; KNN; Machine Learning; NLP; NLTK; One v/s Rest; Support Vector Machines (search for similar items in EconPapers)
Date: 2024
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT2410275
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v10:y2024:i2:id:87

DOI: 10.32628/CSEIT2410275

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