Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
Han-Chin Shing | Suraj Nair | Ayah Zirikly | Meir Friedenberg | Hal Daumé III | Philip Resnik
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic
We report on the creation of a dataset for studying assessment of suicide risk via online postings in Reddit. Evaluation of risk-level annotations by experts yields what is, to our knowledge, the first demonstration of reliability in risk assessment by clinicians based on social media postings. We also introduce and demonstrate the value of a new, detailed rubric for assessing suicide risk, compare crowdsourced with expert performance, and present baseline predictive modeling experiments using the new dataset, which will be made available to researchers through the American Association of Suicidology.
The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health
Meir Friedenberg | Hadi Amiri | Hal Daumé III | Philip Resnik
Proceedings of the Third Workshop on Computational Linguistics and Clinical Psychology
- Hal Daumé III 2
- Philip Resnik 2
- Hadi Amiri 1
- Han-Chin Shing 1
- Suraj Nair 1
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