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  Published Paper Details:

  Paper Title

Automatic Resume Quality Assessment

  Authors

  Abhinav Prasoon,  Ashutosh Singh,  Gagan M,  Jyoti Verma,  Ms.Nivedita G Y

  Keywords

Resume , Quality, CV Parser, Resume Parser,

  Abstract


In the ever-evolving and competitive job market, presenting a compelling resume has become critical for job seekers to secure interviews and land their desired positions. However, manually reviewing and assessing a vast number of resumes can be a time-consuming and laborious task for re- cruiters, often leading to inefficiencies and potential biases in the hiring process. Automatic Resume Quality Assessment (ARQA) systems have emerged as promising solutions to address these challenges, leveraging the power of artificial intelligence (AI) and natural language processing (NLP) techniques to automate the resume evaluation process. This survey paper delves into the fascinating world of ARQA, providing a comprehensive overview of the existing approaches, techniques, challenges, and promising future directions

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2401142

  Paper ID - 249067

  Page Number(s) - b89-b92

  Pubished in - Volume 12 | Issue 1 | January 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Abhinav Prasoon,  Ashutosh Singh,  Gagan M,  Jyoti Verma,  Ms.Nivedita G Y,   "Automatic Resume Quality Assessment", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 1, pp.b89-b92, January 2024, Available at :http://www.ijcrt.org/papers/IJCRT2401142.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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