UGC Approved Journal no 63975(19)

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

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2106277


Registration ID:
310651

Page Number

c58-c64

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Title

Machine Learned Resume Scrutiny for Job Recommendations

Abstract

This study adopts machine learning and text mining technology to analyse a candidate profile and resume, developing a system that can be applied where numerous applicants seek to match with the job vacancies provided by companies. The developed system conducts personal competitiveness analysis, personality analysis, and gives recommendations according to the resumes applicants submit.

Key Words

natural language processing, artificial intelligence, text mining, recommendation system, data analysis

Cite This Article

"Machine Learned Resume Scrutiny for Job Recommendations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.c58-c64, June-2021, Available :http://www.jetir.org/papers/JETIR2106277.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

"Machine Learned Resume Scrutiny for Job Recommendations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppc58-c64, June-2021, Available at : http://www.jetir.org/papers/JETIR2106277.pdf

Publication Details

Published Paper ID: JETIR2106277
Registration ID: 310651
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: c58-c64
Country: Nasik, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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