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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM23063

RESUME SCREENING USING NATURAL LANGUAGE PROCESSING

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM23063

Volume:

7 |

8 |

Aug 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

AKM

Anakha K M

HR

Haritha Rajan

HM

Honey M

SCR

Sumesh C Raman

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Abstract

The demand for low-cost labour and the growth in available jobs have both contributed to a significant increase in the Indian recruitment industry during the past five years. The hiring process is outsourced to organisations whose main goal is to provide the specific talents that the organisation requires in the recruitment industry, which is a new method of employing people. As the need for jobs rises, so does this industry. This is undertaken since big businesses hire in large quantities, and carrying out such a task internally would use up a lot of corporate resources and reduce production. Since these businesses are growing and even they find it tedious and time-consuming to manually review every candidate’s resume, these talent management firms use various ML models to screen out the best resumes in accordance with the job roles, which lessens the workload on the human resources department.

KEYWORDS

Natural Language Processing Resume Analyzer e-recruitment Job seeker

Cite This Article

Anakha K M, Haritha Rajan, Honey M, Sumesh C Raman, "RESUME SCREENING USING NATURAL LANGUAGE PROCESSING," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 8, Aug 2023.

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Publication Date

8/15/2023

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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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