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Philip on NLP in suicide prevention

September 17, 2020 Linguistics

Philip Resnik, Professor of Computational Linguistics

Using computational language analysis to find information about suicide risk in social media.

Philip Resnik has partnered with a team of experts in suicide prevention in the journal of Suicide and Life Threatening Behavior to explain for a non-technical audience how computational analysis may be used to find evidence of suicide risk in texts of naturally occurring language such as social media posts, a source of information that in the past has not been broadly available. The article, "Naturally occurring language as a source of evidence in suicide prevention," is available here

  • Resnik P., Foreman A., Kuchuk M., Musacchio Schafer, K., Pinkham, B., et al. Naturally occurring language as a source of evidence in suicide prevention. Suicide Life Threat Behav. 2020;00:1–9