RAFE-XAI: A Retrieval-Augmented Feature Engineering and Explainable NLP Framework for Urban Infrastructure Risk Classification
This study introduces RAFE-XAI, a retrieval-augmented feature engineering and explainable natural language processing framework for urban infrastructure risk classification that incorporates semantic sentence embeddings, retrieval-based evidence, neighborhood-derived label distributions, domain-specific risk indicators, infrastructure asset cues, location indicators, and evidence-based explainability.