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| Funder | Economic and Social Research Council |
|---|---|
| Recipient Organization | University of Sheffield |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Mar 30, 2027 |
| Duration | 911 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2930769 |
this study proposes a novel methodology for assessing mental health statuses through the analysis of social media data. The primary research questions guiding this investigation are twofold: First, how can a Population Mental Health Index be systematically constructed using natural language processing techniques via social media posts, ensuring the
incorporation of diverse linguistic expressions, temporal dynamics, and the nuanced context of mental health discourse?
University of Sheffield
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