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Found 3 papers, 3 papers with code
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
We begin by assessing the state-of-the-art in time-series emotion recognition, and we review contemporary time-series approaches in affective computing, including discriminative and generative models.
Attending to Emotional Narratives
Attention mechanisms in deep neural networks have achieved excellent performance on sequence-prediction tasks.
Applying Probabilistic Programming to Affective Computing
Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emotion into tractable computational models.
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