Contrastive Learning and Large Language Models for Depression Detection from Social Media
| dc.contributor.author | Sinhal, Arpana | |
| dc.contributor.author | Sinhal, Anay | |
| dc.contributor.author | Sinhal, Amit | |
| dc.date.accessioned | 2025-07-28T15:17:10Z | |
| dc.date.available | 2025-07-28T15:17:10Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Depression is a global mental health concern, often expressed subtly through social media platforms like Reddit and Twitter. This study explores the application of contrastive learning with large language models (LLMs) for depression detection, utilizing annotated data from the DepressionEmo dataset. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/6563 | |
| dc.language.iso | en | en_US |
| dc.publisher | ©20XX IEEE | en_US |
| dc.subject | Contrastive Learning and Large Language | en_US |
| dc.title | Contrastive Learning and Large Language Models for Depression Detection from Social Media | en_US |
| dc.type | Article | en_US |