Novel approaches to automated personality classification: Ideas and their potentials

In this paper, we propose several new research directions regarding the problem of Automated Personality Classification (APC). Firstly, we investigate possible improvements of the existing solutions to the problem of APC, for which we use different combinations of the APC corpora, psychological trait measurements, and learning algorithms. Afterwards, we consider extensions of the APC problem and the related tasks, such as dynamical APC and detecting personality inconsistency in a text. This entire research was performed in the context of social networks and the related datamining mechanisms.