Resume Parser and Summarizer

Author:

Er. Farzana Khan 1,Hamdan Patel 1,Arshad Shaikh 1,Fawzah Sayed 1,Abdul Rehman Soorya 1

Affiliation:

1. M. H. Saboo Siddik College of Engineering, Mumbai, Maharashtra, India

Abstract

Resume parsing is a highly important process for HR departments and recruiters looking to streamline their hiring process. By converting a resume into structured data, it allows for easy organization and quick searchability for specific qualifications and skills. However, there are still limitations to the technology, as language can be complex and ambiguous. It is important for companies to stay up to date with advancements in Natural Language Processing and Artificial Intelligence to improve the accuracy of resume parsing and avoid overlooking qualified candidates. Overall, resume parsing is a crucial tool for modern recruitment, but it still requires human oversight to ensure the best candidates are not overlooked

Publisher

Naksh Solutions

Subject

General Medicine

Reference14 articles.

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2. Jagan Mohan Reddy D, Sirisha Regella., “Recruitment Prediction using Machine Learning”, IEEE Xplore, 2020. (Accessed 25 March 2023)

3. Färber,F., Weitzel, T.,Keim, T., 2003. “An automated recommendation approach to selection in personnel recruitment”. AMCIS 2003 proceedings, 302. (Accessed 25 March 2023)

4. Chirag Daryania, Gurneet Singh Chhabrab, Harsh Patel, Indrajeet Kaur Chhabrad, Ruchi Patel., “An Automated Resume Screening System using Natural Language Processing and Similarity”. (2020). Topics In Intelligent Computing and Industry Design. (Accessed 26 March 2023)

5. Momin Adnan, Gunduka Rakesh, Juneja Afza, Rakesh Narsayya Godavari, Gunduka and Zainul Abideen Mohd Sadiq Naseem., “Resume Ranking using NLP and Machine Learning”, (2016b). Institutional Repository of the Anjuman-I-Islam’s Kalsekar Technical Campus. (Accessed 25 March 2023)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Skill Extractor in Resumes using Machine Learning and Streamlit;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11

2. Resume Parser and Job Recommendation System using Machine Learning;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09

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