ADVANCED RESUME PARSER USING NLP

This project focuses on developing an advanced resume parser using Natural Language Processing (NLP) techniques to automate the extraction of structured data from unstructured resumes. By applying methods such as Named Entity Recognition and keyword extraction, the system accurately identifies key sections like personal details, skills, education, and experience. The goal is to streamline recruitment processes and enhance hiring efficiency through intelligent data processing

Authors

Publication Details

Journal
International Journal of Engineering Applied Sciences and Technology
Published
2025-05-01
DOI
https://doi.org/10.33564/ijeast.2025.v10i01.014
Primary Topic
Text and Document Classification Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

ADVANCED RESUME PARSER USING NLP

V. Singh, Yukti Gupta
International Journal of Engineering Applied Sciences and Technology
Text and Document Classification Technologies
article

ADVANCED RESUME PARSER USING NLP

V. Singh, Yukti Gupta
article en

Abstract

This project focuses on developing an advanced resume parser using Natural Language Processing (NLP) techniques to automate the extraction of structured data from unstructured resumes. By applying methods such as Named Entity Recognition and keyword extraction, the system accurately identifies key sections like personal details, skills, education, and experience. The goal is to streamline recruitment processes and enhance hiring efficiency through intelligent data processing

International Journal of Engineering Applied Sciences and TechnologyVol. 10(01)
Openalex Percentile: Top 92%
Text and Document Classification Technologies
DOIOpen Access PDFOpenAlex
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ADVANCED RESUME PARSER USING NLP — V. Singh, Yukti Gupta · International Journal of Engineering Applied Sciences and Technology (2025) | TGRS Research Map | TGRS