Citation

Cebreros JAP, Fernández EV, Herrera AP, Ramirez GP. Computacion y Sistemas 2022; 26(1): 337-345.

Copyright

(Copyright © 2022)

DOI

10.13053/CyS-26-1-4177

PMID

unavailable

Abstract

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. © 2022 Instituto Politecnico Nacional. All rights reserved.

Language: en

Keywords

depression; Social networks; machine learning