MBTI Personality Prediction Using Only What People Post in Online Forums
- DOI
- 10.2991/978-94-6463-300-9_60How to use a DOI?
- Keywords
- Myers-Briggs Type Indicator; Personality; Prediction; Logistic Regression; extreme Gradient Boosting
- Abstract
The Myers-Briggs Type Indicator (MBTI) is a well-known personality assessment designed to classify individuals into different personality types. It is a widely used personality test that helps people understand others’ cognitive, decision-making, and behavioral preferences. The assessment attempts to gain insight into how people think, behave, communicate, and interact with the world around them and with the world around them. The MBTI focuses on four dimensions: thinking orientation, the way people get information, the way people make decisions, and the way people live their lives. The results of this study can help people better understand their tendencies to think and behave in a better way, better develop themselves, understand different people's preferences in choosing and adapting to careers, help us plan our careers, find careers that make use of our talents, and identify whether the chosen career is right for us. In this study, a new method is created to infer an individual’s MBTI label based on people’s online postings. The performance of the method proposed in this study was compared with other existing methods, and the results showed better accuracy and reliability.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zipeng Guo PY - 2023 DA - 2023/11/27 TI - MBTI Personality Prediction Using Only What People Post in Online Forums BT - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023) PB - Atlantis Press SP - 581 EP - 588 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-300-9_60 DO - 10.2991/978-94-6463-300-9_60 ID - Guo2023 ER -