Natural Language Processing Based Screening for Applicant Tracking Systems Article Swipe
Arvind Jei
,
Ushashish Chandra
,
M. Anand
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.13052/rp-9788770040723.113
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.13052/rp-9788770040723.113
Within a brief period, a typical online job posting receives a large number of applications.As it is highly inefficient in terms of money and time so hiring companies can't handle it, manually filtering out resumes isn't practical.Additionally, this screening procedure for resumes is unfair because many suitable profiles are not given the due consideration they deserve.This could mean that applicants who aren't the right fit for the job are chosen instead of those who are.Ideally, this paper develops a solution that improves the accuracy of resume screening.Relevant data like skills, education, and experience are extracted by our system using Natural Language Processing.From the unstructured resumes and, as a result, produces a form that summarizes each application.With the help of screening methods that eliminate unnecessary information, analysis of resume data is made easier.After the data pre-processing process, the data is compared with the job description and is analysed on similarity scales to rank each individual resumes.The resulting ranking scores can then be used to select candidates who are the most suitable for a given job opening.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.13052/rp-9788770040723.113
- https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788770040723C113.pdf
- OA Status
- gold
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386704537
All OpenAlex metadata
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https://openalex.org/W4386704537Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.13052/rp-9788770040723.113Digital Object Identifier
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Natural Language Processing Based Screening for Applicant Tracking SystemsWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
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Arvind Jei, Ushashish Chandra, M. AnandList of authors in order
- Landing page
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https://doi.org/10.13052/rp-9788770040723.113Publisher landing page
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https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788770040723C113.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788770040723C113.pdfDirect OA link when available
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Computer science, Natural language processing, Natural (archaeology), Artificial intelligence, Natural language, Tracking (education), Psychology, History, Archaeology, PedagogyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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