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Journals / Celal Bayar Üniversitesi Fen Bilimleri Dergisi / 2022 / Cilt: 18 - Sayı: 4

Determining a Proper Text Similarity Approach for Resume Parsing Process in a Digitized HR Software

Yusuf ÖZÇEVİK
Fatih YÜCALAR
Murat DEMİRCİOĞLU
Pages
371–378
Publication Date
2022-12-26
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a conclusion, a discussion among different similarity score calculation approaches available for resume processing is presented to find out a proper computer-aided resume evaluator for digitized human resources.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Resume parsing is one of the costly phases of a recruitment process.
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Key Findings & Data:This phase has been alleviated in digitized human resources recently by using text processing approaches between a job advertisement content and resume of applicants.
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Conclusion & Impact:As a conclusion, a discussion among different similarity score calculation approaches available for resume processing is presented to find out a proper computer-aided resume evaluator for digitized human resources.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Machine Learning based Recruitment · Digitized Human Resources · Text Comparison

Abstract

Resume parsing is one of the costly phases of a recruitment process. This phase has been alleviated in digitized human resources recently by using text processing approaches between a job advertisement content and resume of applicants. For this purpose, performing a text similarity calculation is one of the most commonly used approaches. However, there are lots of similarity calculation models and most of them are not targeted a recruitment process. Moreover, a subjective assessment of such approaches is required to provide a proper text processing in such a specific problem domain. Thus, in this paper, we offer to evaluate different similarity score calculation approaches through a recruitment case study with the help of a statistical assessment. For this purpose, a computer-aided resume evaluator on a set of resumes is proposed, a human evaluation on the same set of resumes is performed by the professions and the correlation between the outcomes is sought out. As a conclusion, a discussion among different similarity score calculation approaches available for resume processing is presented to find out a proper computer-aided resume evaluator for digitized human resources.

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Cite This Article

ÖZÇEVİK, Y., YÜCALAR, F., DEMİRCİOĞLU, M. (2022). Determining a Proper Text Similarity Approach for Resume Parsing Process in a Digitized HR Software. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, Cilt: 18 - Sayı: 4, 371–378. https://ajindex.com/articles/866010

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