AINeutralarXiv – CS AI · 6h ago6/10
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Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
Researchers propose Bayesian Spectral Emotion Transition Discovery (BSETD), a framework that analyzes emotion dynamics in conversations by preserving multi-annotator disagreement rather than collapsing it into single labels. The method successfully identifies distinct emotion transition patterns across psychological theories and demonstrates strong cross-corpus validation, bridging computational linguistics with established emotion science.