A fully hyperbolic attention model using Busemann energy in Poincaré discs produces emotion predictions from text that generalize well even at low embedding dimensions.
What are emotions? and how can they be measured? Social science information , 44(4): 695–729
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Perceived complexity of building facades strongly predicts higher arousal and valence, while human perceptual judgments mediate the link between machine-derived metrics and affective outcomes.
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Busemann energy-based attention for emotion analysis in Poincar\'e discs
A fully hyperbolic attention model using Busemann energy in Poincaré discs produces emotion predictions from text that generalize well even at low embedding dimensions.
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AffectCity: An Empirical Investigation of Complexity, Transparency, and Materiality in Shaping Affective Perception of Building Facades
Perceived complexity of building facades strongly predicts higher arousal and valence, while human perceptual judgments mediate the link between machine-derived metrics and affective outcomes.