CMU-MOSEI

The CMU-MOSEI dataset is a benchmark that contains multi-modal data for emotion and sentiment analysis, used to evaluate models on their ability to recognize emotions and intents from visual, auditory, and textual inputs.

Papers using CMU-MOSEI (1)

Emotion-Driven Personalized Recommendation for AI-Generated Content Using Multi-Modal Sentiment and Intent Analysis2025