Suicide: Difference between revisions
Computational Linguistics and Information Processing
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'''Assessment of Suicidality in Social Media Interaction | |||
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Approximately 25 million American adults will have an episode of major depression this year, and suicide is the third leading cause of death for people aged 10-14 and second among people between people age 15 - 34. But clinicians lack measures with good predictive validity for assessing suicidality using in-person evaluations, much less effective means for assessment using online evidence. In this project we have developed a new dataset for research on suicidality assessment using anonymous data from Reddit, and we | Approximately 25 million American adults will have an episode of major depression this year, and suicide is the third leading cause of death for people aged 10-14 and second among people between people age 15 - 34. But clinicians lack measures with good predictive validity for assessing suicidality using in-person evaluations, much less effective means for assessment using online evidence. In this project we have developed a new dataset for research on suicidality assessment using anonymous data from Reddit, and we | ||
are investigating methods for obtaining reliable clinical expert judgments from online postings, scaling up human assessment using crowdsourcing, and developing computational predictive models using a range of methods including deep learning, transfer learning, and multi-task learning. | are investigating methods for obtaining reliable clinical expert judgments from online postings, scaling up human assessment using crowdsourcing, and developing computational predictive models using a range of methods including deep learning, transfer learning, and multi-task learning. | ||
Latest revision as of 15:57, 10 December 2017
Assessment of Suicidality in Social Media Interaction
Approximately 25 million American adults will have an episode of major depression this year, and suicide is the third leading cause of death for people aged 10-14 and second among people between people age 15 - 34. But clinicians lack measures with good predictive validity for assessing suicidality using in-person evaluations, much less effective means for assessment using online evidence. In this project we have developed a new dataset for research on suicidality assessment using anonymous data from Reddit, and we are investigating methods for obtaining reliable clinical expert judgments from online postings, scaling up human assessment using crowdsourcing, and developing computational predictive models using a range of methods including deep learning, transfer learning, and multi-task learning.