A Review Paper on Resume Parser Using AI

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Dr. Mahesh B. Gunjal; Tejal P. Thorat; Khushi S. Muttha; Vaishnavi C. Shete; Pragati D. Sagar

A Review Paper on Resume Parser Using AI

Authors: Dr. Mahesh B. Gunjal, Tejal P. Thorat, Khushi S. Muttha, Vaishnavi C. Shete, Pragati D. Sagar

Unique Paper ID: 171690
Volume: 11
Issue: 8
PageNo: 937-942

Keywords: Named Entity Recognition (NER) Natural Language Processing (NLP) Pattern Matching Regular Expressions (Regex) Resume Parser

Abstract:
This review paper explores advancements in automated resume parsing and its implications for recruitment processes. It focuses on integrating Natural Language Processing (NLP) and machine learning techniques. With increasing volumes of resumes, efficient and accurate parsing is critical. This paper synthesizes methodologies, such as Named Entity Recognition (NER), regular expressions, and layout-aware parsing, and assesses their potential improvements for future applications.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 937-942

A Review Paper on Resume Parser Using AI

Available:https://ijirt.org/article?manuscript=171690

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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