AWS ML Summit 2021 | Analyzing social media for suicide risk using natural language processing
The toll that mental illness takes worldwide is enormous. Since 2016, suicide has been the second leading cause of death in the US among ages 10–34 and the fourth among ages 35–54. COVID-19 has compounded this problem, as people have struggled with isolation, stress, and sustained disruptions to their lives. This session discusses opportunities and challenges in applying natural language processing and machine learning approaches to assess suicide risk and in computational research on mental health more generally. It includes a discussion of secure data enclaves as a practical way to make possible technological collaborations with sensitive data.
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