A deep learning and causal inference framework for analysing mental health discourse on social media networks
This paper examines how deep learning and causal inference techniques are combined to analyse mental health coping stories posted on social media sites. Individuals often reveal personal experiences linked to mental health issues and coping strategies as user-generated content on sites like Twitter,...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IEEE
2026
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/47471/1/A%20deep%20learning%20and%20causal%20inference%20framework.pdf https://umpir.ump.edu.my/id/eprint/47471/ https://doi.org/10.1109/ICICSE67247.2025.11390793 |
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