Friday, August 31, 2018

Model can more naturally detect depression in conversations

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.

from Top Health News -- ScienceDaily https://ift.tt/2wyZyz8

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Unraveling the power and influence of language

A choice was made to include each word in this sentence. Every message, even the most mundane, is crafted with a specific frame in mind that...