Creation of a Corpus in Spanish for the Recognition of Personality Traits

Authors

  • Víctor Manuel Bátiz-Beltrán Tecnológico Nacional de México
  • María Lucía Barrón-Estrada Tecnológico Nacional de México
  • Ramón Zatarain-Cabada Tecnológico Nacional de México
  • Jonathan Iván Roldán-Arana Tecnológico Nacional de México

DOI:

https://doi.org/10.13053/cys-28-3-4619

Keywords:

Big-Five, corpus, personality, machine learning, deep learning, machine recognition

Abstract

Automatic personality recognition is an area of research that has become very important in recent years. Currently there is research with different approaches that seek to automatically recognize personality traits by means of text. There are methods that use texts from voice transcriptions or texts written by people to determine whether an individual has a certain personality trait. These methods are based on machine learning and deep learning algorithms. A key element for the construction of such models is to have a data set (corpus) for training and optimization. This paper presents the creation of a corpus called PersonText, which contains 213 texts in Spanish with their respective labels related to the presence or absence of the personality traits of the Big-Five model, as well as the scores obtained by the participants in a standardized personality test. The main motivation for the creation of this corpus was the limited existence of corpora of texts in Spanish focused on personality recognition. The information was obtained from a platform developed by the research team, used for data collection based on standardized personality tests and videos of the participants. Additionally, to evaluate the corpus, tests were performed with different machine learning and deep learning models. The results obtained are promising and validate the relevance of the corpus built to address the task of automatic personality recognition.

Author Biographies

Víctor Manuel Bátiz-Beltrán, Tecnológico Nacional de México

Currently PhD student in engineering science and professor at TecNM ‐ Instituto Tecnológico de Culiacán, in Sinaloa México. Received the BSc degree in computer science from the Instituto Tecnológico de Culiacán (Mexico) in 1997 and the MSc degree in business administration from the Universidad Tecmilenio (Mexico) in 2007. He also received the MSc degree in computer science from Tecnológico Nacional de México Campus Culiacán (Mexico) in 2021.

María Lucía Barrón-Estrada, Tecnológico Nacional de México

Professor at TecNM ‐ Instituto Tecnológico de Culiacán, in Sinaloa México. She earned a PhD in Computer Science from Florida Institute of Technology, and an MSc in Computer Science from Instituto Tecnológico de Toluca. She is member level 3 of the National System of Researchers (SNI) in Mexico, and Honorific member of the Technologists and Researchers System in Sinaloa state (SSIT). Her research interests include intelligent and affective systems for education, augmented and virtual reality, and software development. She is a regular contributor to the AI&Education column of the journal Komputer Sapiens. She is a member of the Conacyt REDICA (Applied Computational Intelligence Research Network), the Mexican Society of Computer Science (SMCC), and the Mexican Society of Artificial Intelligence (SMIA).

Ramón Zatarain-Cabada, Tecnológico Nacional de México

Professor in the graduate department of TecNM ‐ Instituto Tecnológico de Culiacán since 1984. He earned his MSc and PhD in Computer Science from Florida Institute of Technology, and a BSc from TecNM Instituto Tecnológico de Culiacán. He leads the academic group and lab of affective computing, and is the author of more than 80 articles, and 6 software copyrights. His research interests include affective computing, artificial intelligence, learning environments, and extended reality. Dr. Zatarain is a level 1 member of the National System of Researchers (Conacyt, Mexico), and he received the Sinaloa State Award for Science and Technology in 2017. He annually organizes the international workshop on intelligent learning environments (WILE) and is a member of the Conacyt REDICA (Applied Computational Intelligence Research Network).

Jonathan Iván Roldán-Arana, Tecnológico Nacional de México

MS degree in computer sciences from TecNM‐Instituto Tecnologico de Culiacan

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Published

2024-09-12

Issue

Vol. 28 No. 3 (2024): 28(3) 2024

Section

Articles

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