Multi-Modal Sentiment and Emotional Intelligence Analysis

Design a comprehensive multi-modal sentiment analysis framework that integrates textual, vocal, and visual sentiment signals. Develop advanced machine learning models combining transformer architectures, deep learning, and probabilistic graphical models to capture nuanced emotional intelligence across different communication channels. Create a robust feature extraction and fusion methodology that can handle cross-modal noise and contextual variations.