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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

Unique Identifier

JETIR2104001

Page Number

1-6

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Title

A Review on Text Categorization for E-Recruitment Based on Semantic Analysis

ISSN

2349-5162

Cite This Article

"A Review on Text Categorization for E-Recruitment Based on Semantic Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.1-6, April-2021, Available :http://www.jetir.org/papers/JETIR2104001.pdf

Abstract

As we know Indian I.T sector is second largest candidate recruiting area of our country, it gives about 7.5% to our Gross Domestic Product . The recruitment in the Information Technology sector has seen an exponential increase in recent times. Companies recruit thousands of young talent, right from the college every year through campus fairs it is difficult to identify the good match between the qualifications of the candidate and match the skill that a company seeks by examining each resume for HR department in any organization. To address this challenge, many companies have shifted for using e-recruiting platforms. These platforms decrease the cost, time and effort required for physically processing and screening candidate resumes.

Key Words

Resume Classification, Recruitment, Software companies, Natural language processing (NLP), Resume Examining, Text Categorization, and Semantic Analysis.

Cite This Article

"A Review on Text Categorization for E-Recruitment Based on Semantic Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp1-6, April-2021, Available at : http://www.jetir.org/papers/JETIR2104001.pdf

Publication Details

Published Paper ID: JETIR2104001
Registration ID: 307351
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 1-6
ISSN Number: 2349-5162

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Cite This Article

"A Review on Text Categorization for E-Recruitment Based on Semantic Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp1-6, April-2021, Available at : http://www.jetir.org/papers/JETIR2104001.pdf




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