| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560393 |
| ISSN: | 1405-5546 |
| Autores: | Calvo, Hiram1 |
| Instituciones: | 1Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de México. México |
| Año: | 2018 |
| Periodo: | Oct-Dic |
| Volumen: | 22 |
| Número: | 4 |
| Paginación: | 1269-1276 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | In this work we experiment with the hypothesis that words a subject uses and their psychological attachment style (as defined by Bartholomew and Horowitz), can be related. In order to verify this hypothesis, we identified characteristic patterns for each style of attachment (secure, fearful, dismissing, preoccupied) by mapping words into a word space model on a series of autobiographic texts written by a set of 202 participants. Additionally, a psychological instrument (questionnaire) was applied to these same participants to measure their attachment style. A Support Vector Machine was trained, and we found that attachment style could be predicted from text within a range of 64% to 85% for different attachment styles. |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial |
| Keyword: | Psychological attachment, Autobiography, Text classification, Support vector machines, Artificial intelligence |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
