multimodal-emotion-analysis

What problem does it solve?

This skill analyzes complex emotions from images by generating hierarchical emotion tensors and lens-based interpretations, enabling richer understanding beyond single-label classifications.

Core Features & Use Cases

• No-CNN multimodal reasoning using LLMs to infer layered emotions, relationships, and cultural context.
• Narrativization and mΔ predictions to anticipate misinterpretations across observers with different lenses.
• Suitable for counseling, UX studies, social-media risk checks, and media literacy applications where context matters.

Quick Start

Analyze a provided image to produce a layered interpretation of emotional dynamics and cultural lenses.