Mario Ezra Aragón
Biographic Data
| ID | 4625055 |
|---|---|
| NAME | Mario Ezra Aragón |
| GIVEN NAMES | Mario Ezra |
| FAMILY NAME | Aragón |
| SIGNATURE | ARAGÓN M E |
| AFFILIATIONS | Universidade de Santiago de Compostela |
| ORCID | 0000-0002-8213-957X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Online expressions, offline struggles
With their growing popularity, social media platforms have become valuable tools for researchers and health professionals, offering new opportunities to identify linguistic patterns associated with mental health. In this study, we analyze depression-related symptoms using user-generated posts on social media and the Beck Depression Inventory (BDI). Using posts from individuals who have self-reported a depression diagnosis, we train and evaluate s…
On the incidence of depression symptoms on social media
Due to their increasing popularity, researchers and health professionals are actively utilizing social media networks as valuable tools to recognize linguistic patterns associated with mental health. In this research, our aim was to better understand to what extent the Beck Depression Inventory (BDI) could undergo automated screening based on users’ social media feeds. To this end, we conducted different experiments to analyze the prevalence of B…
No prominent works on this page.
Online expressions, offline struggles
With their growing popularity, social media platforms have become valuable tools for researchers and health professionals, offering new opportunities to identify linguistic patterns associated with mental health. In this study, we analyze depression-related symptoms using user-generated posts on social media and the Beck Depression Inventory (BDI). Using posts from individuals who have self-reported a depression diagnosis, we train and evaluate s…
On the incidence of depression symptoms on social media
Due to their increasing popularity, researchers and health professionals are actively utilizing social media networks as valuable tools to recognize linguistic patterns associated with mental health. In this research, our aim was to better understand to what extent the Beck Depression Inventory (BDI) could undergo automated screening based on users’ social media feeds. To this end, we conducted different experiments to analyze the prevalence of B…
Digital Mental Health Interventions (2 works) · Mental Health via Writing (2 works) · Sentiment Analysis and Opinion Mining (2 works) · Social media (2 works) · Categorization (1 work) · Computer Science (1 work) · Economics (1 work) · Grounded theory (1 work) · Mathematics (1 work) · Medicine (1 work)