IEEE Transactions on Affective Computing

The IEEE Transactions on Affective Computing (TAC) is intended to be a cross disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena.

Publisher
IEEE
Website
http://www.computer.org/portal/web/tac
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Internet

An algorithm trained to detect unhappiness on social networks

Researchers have developed an algorithm that can identify the basic needs of users from the text and images they share on social networks. The experts hope this tool will help psychologists to diagnose possible mental health ...

Internet

Bot can spot depressed Twitter users in 9 out of 10 cases

A newly developed algorithm can spot depression in Twitter users with 88.39% accuracy. Developed by researchers at Brunel University London and the University of Leicester, the algorithm determines someone's mental state ...

Computer Sciences

A convolutional network to align and predict emotion annotations

Machine learning models that can recognize and predict human emotions have become increasingly popular over the past few years. In order for most of these techniques to perform well, however, the data used to train them is ...