The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition

arXiv:2406.07753v1 Announce Type: cross
Abstract: The Multimodal Sentiment Analysis Challenge (MuSe) 2024 addresses two contemporary multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge (MuSe-Perception), participants will predict 16 different social attributes of individuals such as assertiveness, dominance, likability, and sincerity based on the provided audio-visual data. The Cross-Cultural Humor Detection Sub-Challenge (MuSe-Humor) dataset expands upon the Passau Spontaneous Football Coach Humor (Passau-SFCH) dataset, focusing on the detection of spontaneous humor in a cross-lingual and cross-cultural setting. The …

abstract analysis arxiv attributes audio challenge cs.ai cs.cl humor multimodal muse perception recognition sentiment sentiment analysis social type visual will