Comparative Study of Personality Prediction Using Machine Learning Algorithms

Gayathri Kadam .C, Dr. D. Preethi

Abstract: Social Media has become a platform for humans to convey their happiness, emotions, opinions and expectations, with this data which is publicly viewable and accessible; we will be able to analysis the personality of the person. Personality prediction has many real - world applications as the usage of social media is expanding gradually from this, we can obtain huge amount of textual data. In this paper, we will approach a method in which the user?s personality can be accurately predicted with the data accessible publicly through social media platforms viz. Twitter, Youtube, and Facebook. We will analysis and describe the data using machine learning techniques and with the help of Machine learning algorithm namely Random Forest, Stochastic Gradient Descent, XGBoost, Logistic Regression, KNN, Support vector machine. This result may help in Cognitive process to identify the personality type.

Keywords: Machine Learning, Myers - Briggs Type Indicator, Na?ve Bayes, Support vector machine, Random Forest, social media, Statistical Analysis

How to Cite?: Gayathri Kadam .C, Dr. D. Preethi, "Comparative Study of Personality Prediction Using Machine Learning Algorithms", Volume 11 Issue 6, June 2022, International Journal of Science and Research (IJSR), Pages: 552-557, https://www.ijsr.net/getabstract.php?paperid=SR22601144553, DOI: https://dx.doi.org/10.21275/SR22601144553

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