Neural networks recognize emotions

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It indicates which photos people will remember for a long time, and which ones they will forget in 5 minutes. And it also highlights the most memorable areas in the photo. Profit: choosing memorable images for advertising, social media and blog articles. The Microsoft service can recognize the emotions of people depicted in a photograph.


You upload a photo, and the neural network finds faces on it and analyzes what indonesia consumer email list emotions they express. The list includes: Anger; Contempt (contempt); Disgust; Fear; Joy (happiness); Neutrality (neutral); Sadness; Surprise. A similar thing was done at the Massachusetts Institute of Technology (MIT). The Affectiva service recognizes people's emotions in webcam video broadcasts. At the time of writing, the service's website was down, so I'm leaving a link to Wikipedia .


Just in case. Neural networks can also recognize sarcasm in messages. The robot analyzes the text of the post, the image, the user's previous posts and determines whether it is really "Wow, cool!" or sarcasm. Profit: search for negative comments and reviews on the Internet. Studying user reactions to various content and advertising. Neural networks determine whether you are drunk Do you like to tweet after going to a bar? A robot will find you! The University of Rochester Research has created a neural network that recognizes posts written by people in a state of alcohol intoxication.