| Revue: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560345 |
| ISSN: | 1405-5546 |
| Autores: | Olivares, Nicolás2 Vivanco, Luz María3 Figueroa, Alejandro1 |
| Instituciones: | 1Universidad Andres Bello, Facultad de Ingeniería, Santiago. Chile 2Universidad Diego Portales, Escuela de Ingeniería Informática, Santiago, Santiago de Chile. Chile 3Universidad Diego Portales, Escuela de Ingeniería Industrial, Santiago, Santiago de Chile. Chile |
| Año: | 2018 |
| Periodo: | Jul-Sep |
| Volumen: | 22 |
| Número: | 3 |
| Paginación: | 795-807 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | In psychology, it is widely believed that there are five big factors that determine the different personality traits: Extraversion, Agreeableness, Conscientiousness and Neuroticism as well as Openness. In the last years, researchers have started to examine how these factors are manifested across several social networks like Facebook and Twitter. However, to the best of our knowledge, other kinds of social networks such as social/informational question-answering communities (e.g., Yahoo! Answers) have been left unexplored. Therefore, this work explores several predictive models to automatically recognize these factors across Yahoo! Answers members. As a means of devising powerful generalizations, these models were combined with assorted linguistic features. Since we do not have access to ask community members to volunteer for taking the personality test, we built a study corpus by conducting a discourse analysis based on deconstructing the test into 112 adjectives. Our results reveal that it is plausible to lessen the dependency upon answered tests and that effective models across distinct factors are sharply different. Also, sentiment analysis and dependency parsing proven to be fundamental to deal with extraversion, agreeableness and conscientiousness. Furthermore, medium and low levels of neuroticism were found to be related to initial stages of depression and anxiety disorders. |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial |
| Keyword: | Big five, User analysis, Personality analysis, Natural language processing, Community question answering, Artificial intelligence |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
