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Model can more naturally detect depression in conversations

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Researchers detail a neural-network model that can be unleashed on raw text and audio data from interviews to discover speech patterns indicative of depression. Given a new subject, it can accurately predict if the individual is depressed, without needing any other information about the questions and answers. …
Top Technology News — ScienceDaily

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