Work

Pre- and Post-Depressive Detection using Deep Learning and Textual-based Features

Year: 2023

Type: article

Abstract: The rise of mental disorders, specifically depression, has shown an upward trend, especially during the COVID-19 pandemic. Previous studies have suggested that it is feasible to learn the textual and behavioral features of a user to identify depre

Source: International Journal of Technology

DOI: 10.14716/ijtech.v14i6.6648

Authors: Wei-Long Tey, Hui-Ngo Goh, Amy Hui-Lan Lim, Cheng-Kar Phang

Institution: Multimedia University

Language: English

Topic: Mental Health via Writing

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,000