| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560646 |
| ISSN: | 1405-5546 |
| Autors: | Pérez Cebreros, Juan Arturo1 Vázquez Fernández, Eduardo1 Partida Herrera, Alma1 Peña Ramírez, Geovani1 |
| Institucions: | 1Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica Culhuacán, México |
| Any: | 2022 |
| Període: | Ene-Mar |
| Volum: | 26 |
| Número: | 1 |
| Paginació: | 337-345 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | Depression represents a problem of public concern that is now prioritized in many health care agendas with the intention of preventing future suicides, which have devastating impact not only because of tragic loss of life, but also for the grieving family and friends. Investigations in each country reveal a reduction in physical and mental well-being; for this reason, the proposal presented in this article comprises an attempt to detect the feelings expressed in text sentences presented in social networks. |
| Keyword: | Social networks, Depression, Machine learning |
| Text complet: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
