Resume screening and analysis
Author(s):
N. MARINBI, N. Hima sai, A. Ajay, K. Manasa, D. Sravani
Keywords:
Abstract
Hiring the right talent is a challenge for all businesses. This challenge is magnified by the high volume of applicants if the business is labour-intensive, growing, and facing high attrition rates. companies often receive thousands of resumes for each job posting and employ dedicated screening officers to screen qualified candidates. The main aim of the resume screening is “task of selecting the best talent among many others is known as Resume Screening”. The complex endeavour of selecting the most suitable talent from a vast pool of applicants Therefore, standardized automated screening methods categorize qualified from unqualified candidates based on their background, education and professional experience faster, with more efficiency and more accurate results to streamline hiring processes. Artificial intelligence, along with text mining and natural language processing algorithms, can be applied for the development of programs capable of screening objectively thousands of resumes in few minutes without bias to identify the best fit for a job opening based on thresholds, specific criteria or scores. Typically, large companies do not have enough time to open each CV, so they use machine learning algorithms for the Resume Screening.These research' experimental findings show that the suggested strategies are more effective than conventional ones. The results of this study can help human resource managers and recruiters automate the hiring process and efficiently and impartially identify viable applicants
Article Details
Unique Paper ID: 164365

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 945 - 947
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers