Personality traits recognition from text

• Grant number: 17/06828-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2017
• End date: June 30, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Ivandre Paraboni
• Grantee: Wesley Ramos dos Santos
• Host Institution: Escola de Artes, Ciências e Humanidades (EACH). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

The computational treatment of personality traits is central for the development of applications in Natural Language Processing (NLP) and related fields. Knowing the personality traits of an individual (for example, from his/her publications in social networks) enables a wide range of content personalization strategies, from presenting a website so as to make it more attractive for a certain audience to generating more effective pieces of advertisement. This document presents an undergraduate research project in the NLP field that focuses on the treatment of personality traits from a natural language understanding perspective. Based on the well-known big five model of personality, the project proposes the study of fundamental document classification techniques and the implementation of computational models of personality recognition from text by making use of an existing corpus developed in an ongoing project. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DOS SANTOS, WESLEY RAMOS; PARABONI, IVANDRE; CRESTANI, F; BRASCHLER, M; SAVOY, J; RAUBER, A; MULLER, H; LOSADA, DE; BURKI, GH; CAPPELLATO, L; et al. Personality Facets Recognition from Text. EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2019), v. 11696, p. 6-pg., 2019-01-01. (17/06828-1, 16/14223-0)