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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20035

RESUME PARSING USING MACHINE LEARNING AND NLP

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20035

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

M

Mr.R.Vignesh1

MCD

Ms.C. Chithra Devi2

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Abstract

Machine Learning is a branch of computer science that focuses on using data and algorithms to replicate how humans learn and gradually improving the accuracy of its analysis. Agencies and other high-level organisations must deal with a big number of new job openings that require a variety of resumes. The tool that makes the hiring process easier for both candidates and recruiters. We extract crucial data such as education, experience, and abilities from resumes using Natural Language Processing (NLP) techniques, making them easier to digest and analyse. NLP also allows for the construction of visually appealing and remarkable career materials such as resumes, cover letters, and websites. Based on

KEYWORDS

matching the programme groups terms into sectors and gives suggestions predictions and insights

Cite This Article

Mr.R.Vignesh1, Ms.C. Chithra Devi2, "RESUME PARSING USING MACHINE LEARNING AND NLP," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM20035

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Publication Date

3/4/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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