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Natural language processing (NLP) tools have shown promise for automatically diagnosing mental-health disorders by analyzing written texts and speech transcriptions.
In this session, we will survey some of the latest developments in the field, with specific examples of how computational approaches can detect symptoms.
We will also share experimental results and discuss their potential for automatically detecting schizophrenia in patients using only speech patterns.
