UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFX06037


Registration ID:
516991

Page Number

219-221

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Title

NLP Based Resume Parser Analysis

Abstract

Because of the development of the online hiring method. Candidate resumes can be easily uploade to the job application website. A large number of people are Impacted as a result. Mail-in resumes are being received. As a result, the human resources division has suffered. The department struggles with both finding new hires and sorting through numerous applicants. Candidates who submit resumes also come in a range of sizes and forms. types of writing, fonts, font sizes, colours, etc. For instance, human resource departments are struggling. in examining each resume submitted by a candidate and choosing the best applicant for the position. As a result, I suggest restarting the parser in this project using natural language. processing to help the hiring manager or human resources department get accurate information from the resume Using keyword matching and natural language processing, the company will receive the best CV possible based on its keywords.

Key Words

Resume, Natural Language Processing, Machine Learning, Support Vector Machine

Cite This Article

"NLP Based Resume Parser Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.219-221, May-2023, Available :http://www.jetir.org/papers/JETIRFX06037.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"NLP Based Resume Parser Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp219-221, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06037.pdf

Publication Details

Published Paper ID: JETIRFX06037
Registration ID: 516991
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: 219-221
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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