Model can more naturally detect depression in conversations
Thursday, August 30, 2018 - 19:20
in Psychology & Sociology
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.