Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning (2021.naacl-main)
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| Challenge: | Recent studies indicate that individuals exhibiting suicidal ideation increasingly turn to social media rather than mental health practitioners. |
| Approach: | They propose a framework leveraging a user’s emotional history and social information from a users neighborhood in a network to contextualize the interpretation of the latest tweet of a Twitter user. |
| Outcome: | The proposed framework outperforms state-of-the-art methods on this task, showing the benefits of both socially and personally contextualized representations. |
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