How a Machine Learned to Spot Depression

Re:How a Machine Learned to Spot Depression by thomasfl on Sunday May 31, 2015 @12:27PM (#9634613)

The same sentence can have complete opposite meaning if it was said in an angry or calm voice. Sentiment is such an important part of human communication, that these systems will have to be incorporated in to speech recognition if they are going to be meaningful. 😉

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Re:How a Machine Learned to Spot Depression by jmount on Sunday May 31, 2015 @01:17PM (#9634789)

Your comment seem phrased to imply the current Ellie system (featured in the article) doesn't read sentiment (when you write "will have to be" about incorporating sentiment- that usually reads that an existing system like Ellie doesn't have that"). From the article: "When I answer Ellie's questions, she listens. But she doesn't process the words I'm saying. She analyzes my tone. A camera tracks every detail of my facial expressions."

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Re:How a Machine Learned to Spot Depression by jodrellblank on Sunday May 31, 2015 @02:16PM (#9634974)

The comment said systems like Ellie will have to be incorporated into speech recognition, to better process the context of the words being recognised.

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Re:How a Machine Learned to Spot Depression by resonation on Sunday May 31, 2015 @07:02PM (#9635941)

Christ almighty, these god damned unicode smiley faces are the bane of my existence.

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