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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM31638
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The recent recruitment process has changed from manually to computerized. The majority of resume analysis is carried out utilizing Natural Language Processing and Machine learning. It deals with selecting the best candidates from an enormous pool of applicants who have the necessary skills for a certain job description.By leveraging these NLP capabilities provided by NLTK, resume analysis systems can automate the extraction, classification, and evaluation of information from resumes, enabling recruiters to efficiently screen and evaluate candidates based on their qualifications, skills, experience, and other relevant factors.
KEYWORDS
Publication Date
12/31/45405
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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