Context-Aware Classification and Grading of Sensitive Information in Online Conversational Health Data
SALP-CG is an LLM pipeline designed to classify and grade privacy risks in online health conversations. It uses few-shot guidance, strict JSON constraints, and deterministic rules to assign sensitivity levels (1-5) across six health data categories. This method provides a practical way to ensure compliance with privacy regulations by reliably identifying high-risk information.