CALLM is a novel context-aware emotion analysis system that helps interpret the complex emotional experiences of cancer survivors through their mobile diary entries.

• Combines large language models with retrieval-augmentation to understand emotions in context
• Analyzes brief, personal narratives from mobile diaries with greater accuracy than traditional methods
• Creates a more nuanced picture of emotional experiences specific to cancer survivors
• Enables more timely and personalized emotional support interventions

This research bridges a critical gap in medical support by providing healthcare providers with deeper insights into patients' emotional states, potentially improving quality of life outcomes for cancer survivors through more targeted interventions.

CALLM: Context-Aware Emotion Analysis in Cancer Survivors Using LLMs and Retrieval-Augmented Mobile Diaries