Personality Prediction using Logistic Regression
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2021, Vol 5, Issue 4
Abstract
Human personality has played a significant role in the growth of both individuals and organisations. Using standard questionnaires or reviewing the curriculum vitae are two ways to assess human personality CV .Recruiters used to manually shortlist filter a candidates CV based on their criteria. We present a framework in this paper that automates the eligibility review of candidates during the recruitment process. Based on the uploaded CV, the system evaluates professional eligibility. The framework employs the TF IDF Algorithm for machine learning. Furthermore, by reviewing the scores obtained in various fields, the resulting scores aid in determining the qualities of the candidates. The use of graphs to analyse a candidates success makes it easier to assess his or her personality and aids in proper CV analysis. As a result, the framework lends a hand in the recruitment process, allowing the candidates CV to be shortlisted and a reasonable decision to be reached. Surya Narayan Sharma | Dr. Kamalraj Ramalingam "Personality Prediction using Logistic Regression" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41307.pdf Paper URL: https://www.ijtsrd.comcomputer-science/data-processing/41307/personality-prediction-using-logistic-regression/surya-narayan-sharma
Authors and Affiliations
Surya Narayan Sharma | Dr. Kamalraj Ramalingam
Keywords
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