UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 2
February-2024
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:
JETIR2402500


Registration ID:
533187

Page Number

e729-e734

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Title

Resume Screening Classification

Abstract

This paper introduces a novel approach to streamline the recruitment process through the integration of Natural Language Processing (NLP) techniques with machine learning algorithms for resume screening. The objective is to automate the initial phase of candidate evaluation, ensuring a more efficient and unbiased selection process. By leveraging NLP, the system extracts meaningful features from textual data, enabling the development of robust machine learning models.

Key Words

Natural Language processing, Job Titles, Company Name, Resume, Certification, Language, Education.

Cite This Article

"Resume Screening Classification ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.e729-e734, February-2024, Available :http://www.jetir.org/papers/JETIR2402500.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

"Resume Screening Classification ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppe729-e734, February-2024, Available at : http://www.jetir.org/papers/JETIR2402500.pdf

Publication Details

Published Paper ID: JETIR2402500
Registration ID: 533187
Published In: Volume 11 | Issue 2 | Year February-2024
DOI (Digital Object Identifier):
Page No: e729-e734
Country: Coimbatore, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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