1. Mining Personality Traits from Social Text Messages
- Author
-
Chung-Hong Lee, Chia-Yi Yeh, and Hsin-Chang Yang
- Subjects
Scheme (programming language) ,Multidisciplinary approach ,media_common.quotation_subject ,Personality ,Recommender system ,Big Five personality traits ,Psychology ,computer ,Task (project management) ,Cognitive psychology ,computer.programming_language ,media_common - Abstract
Recently, approaches of applying personality on practical applications have attracted attention from multidisciplinary areas beyond psychology. An example is the personality-based recommender systems that have been successfully applied to music, movie, and game recommendation tasks. However, finding the personality traits of a person is not a trivial task. In this work, we will propose an automatic scheme for identifying the Big Five personality traits using text mining techniques. We analyzed the social messages posted by Facebook users to find the correlations among keywords and personality traits. The personality traits of a person can then be identified by examining his social messages according to such correlations. We performed the experiments using the myPersonality dataset and obtained promising results.
- Published
- 2020