Abstract
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 - Cosine Similarity, Machine Learning, TDF- IDF, NLP-Natural Language Processing.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.