Personality Prediction Using Sklearn

Authors

  • Sumair Qadir M.Tech Scholar, Department of Electronics and Communication Engineering, RIMT University Mandi Gobingrah, Punjab India Author
  • Monika Mehra Professor, Department of Electronics and Communication Engineering, RIMT University Mandi Gobingrah, Punjab India Author

Keywords:

Nave Bayes Algorithm, Support Vector Machine, Automated Personality Classification, Data Mining

Abstract

Personality is one characteristic that  influences how people interact with the outside  environment. A person's personality can be regarded as an  essential component of their behaviour. People's  personalities are determined by how they connect with  others. This article discusses Automated Personality  Classification, which is a system that uses Data Mining  Algorithms to analyse a user's personality based on specific  parameters. In this study, we present a technique for  analysing an applicant's personality. This technique will be  useful for businesses and other organisations who want to  hire people based on their personalities rather than their  technical skills. The Big Five Personality qualities are used  to predict personality traits, and the categorization is done  using the Nave Bayes Algorithm and Support Vector  Machine. 

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References

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Published

2022-04-30

Issue

Vol. 9 No. 2 (2022): International Journal of Innovative Research in Engineering & Management (April )2022

Section

Articles

How to Cite

Personality Prediction Using Sklearn . (2022). International Journal of Innovative Research in Engineering & Management, 9(2), 29–32. Retrieved from https://acspublisher.com/journals/index.php/ijirem/article/view/10912