Suicide Ideation Detection Using Social Media Data and Ensemble Machine Learning Model
Abstract Identifying the emotional state of individuals has useful applications, particularly to reduce the risk of suicide. Users’ thoughts on social media platforms can be used to find cues on the emotional state of individuals. Clinical approaches to suicide ideation detection primarily rely on e...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2026-01-01
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| Serie: | International Journal of Computational Intelligence Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s44196-025-01123-9 |
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