Personality Prediction Using Sklearn

Sumair Qadir; Monika Mehra

doi:10.55524/ijirem.2022.9.2.4

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.

Keywords

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

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Cites this article as

S. Qadir, M. Mehra, "Personality Prediction Using Sklearn", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-9, Issue-2, Page No-29-32, 2022. Available from: https://doi.org/10.55524/ijirem.2022.9.2.4