42 citations · 62 across the 8 of their papers we have counts for
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cs.CL2020
GoEmotions: A Dataset of Fine-Grained Emotions
Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko +3
Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior. Advancement in this area can b…
cs.CV2020★ 8 cited
EEV: A Large-Scale Dataset for Studying Evoked Expressions from Video
Jennifer J. Sun, Ting Liu, Alan S. Cowen +3
Videos can evoke a range of affective responses in viewers. The ability to predict evoked affect from a video, before viewers watch the video, can help in content creation and vide…