Personality Traits Identification Using Rough Sets Based Machine Learning
Umang Gupta, Niladri Chatterjee · 2013
Prediction of human behavior from his/her traits has long been sought by cognitive scientists. Human traits are often embedded in one's writings. Although some work has been done on identification of traits from essays, very little work can be found on extracting personality traits from written texts. Psychological studies suggest that extraction and prediction of rules from a data has been long pursued, and several methods have been proposed. In the present work we used Rough sets to extract the rules for prediction of personality traits. Rough Set is a comparatively recent method that has been effective in various fields such as medical, geological and other fields where intelligent decision making is required. Our experiments with rough sets in predicting personality traits produced encouraging results.