PERCEIVE is the first bilingual benchmark integrating author content, reader emotions from comments, communication behavior, user attributes, and social graphs for personalized social media emotion understanding.
Multimodal multi-loss fusion network for sentiment analysis
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
EEG-MoCE assigns each modality to a learnable-curvature hyperbolic expert and applies curvature-aware fusion to achieve state-of-the-art results on emotion recognition, sleep staging, and cognitive assessment benchmarks.
citing papers explorer
-
PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media
PERCEIVE is the first bilingual benchmark integrating author content, reader emotions from comments, communication behavior, user attributes, and social graphs for personalized social media emotion understanding.
-
EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
EEG-MoCE assigns each modality to a learnable-curvature hyperbolic expert and applies curvature-aware fusion to achieve state-of-the-art results on emotion recognition, sleep staging, and cognitive assessment benchmarks.