Predicting personality traits from spontaneous modern Greek text: Overcoming the barriers

Abstract

The present work aims at identifying relations between the morphosyntactic and semantic properties of an author's writings and his/her personality traits. Machine learning schemata are used to classify an author according to the values of the Big Five traits, or predict their numerical value. Unlike related work, the current approach focuses on Modern Greek text, and makes use of limited data and resources, available at its disposal. Meta-learning and synthetic oversampling help overcome the small dataset and its imbalanced class distribution. © 2012 IFIP International Federation for Information Processing.