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Reseach Article

Myers Briggs Personality Prediction using Machine Learning Techniques

by Nishita Vaddem, Pooja Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 23
Year of Publication: 2020
Authors: Nishita Vaddem, Pooja Agarwal
10.5120/ijca2020920764

Nishita Vaddem, Pooja Agarwal . Myers Briggs Personality Prediction using Machine Learning Techniques. International Journal of Computer Applications. 175, 23 ( Oct 2020), 41-44. DOI=10.5120/ijca2020920764

@article{ 10.5120/ijca2020920764,
author = { Nishita Vaddem, Pooja Agarwal },
title = { Myers Briggs Personality Prediction using Machine Learning Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2020 },
volume = { 175 },
number = { 23 },
month = { Oct },
year = { 2020 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number23/31593-2020920764/ },
doi = { 10.5120/ijca2020920764 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:56.074924+05:30
%A Nishita Vaddem
%A Pooja Agarwal
%T Myers Briggs Personality Prediction using Machine Learning Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 23
%P 41-44
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In natural language processing and in the scientific realm of psychology, automatic personality analysis from social media is gaining growing interest. Currently, the Myers Briggs Type Indicator (MBTI) is deemed to be one of the most regularly used and reliable forms of personality recognition. The dataset used in this research is derived from Myers Briggs Forum on personalitycafe.com, a medium hitherto ignored for prediction of personality. This dataset is named as Myers-Briggs Type Indicators (MBTI) Personality Type and is available on Kaggle. The aim of this work is to predict the personality type of an individual linked to their posts and to explore the relevance of the test in the study and categorization of human behavior using Learning models.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Myers-Briggs Type Indicators (MBTI)