Personality recognition in Digital Humanities: A review of computational approaches in the humanities

Author:

Picca Davide1ORCID,Pitteloud Jocelin1

Affiliation:

1. Department of Languages and Computer Science, University of Lausanne , Switzerland

Abstract

Abstract One of the most fascinating aspects of human beings is their personality. Two models that are currently being researched and widely used in computational approaches are the Myers–Briggs Type Indicator and the Big Five (or OCEAN). In this study, we will briefly examine the history of these two models and the current state of their applications in the Digital Humanities field. Although categorizing research in Digital Humanities is a challenging task, we have chosen to include works that, while primarily psychological in nature, use methodologies and methods from Digital Humanities, specifically in literary texts. Consequently, we can divide this research into two categories. On the one hand, there are works that aim to study and identify the personalities of fictional characters in literature or movies. On the other hand, there are works that aim to recreate personalities in virtual characters based on a predetermined model. We will therefore examine the works proposed by the scientific community for both approaches.

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems

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