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Drawing on 5,251 text reviews and 23,553 associated images from Dianping between 2022 and 2024, this study develops a multimodal deep learning framework that integrates GPT-4, U-net, multi-layer attention mechanisms, and interpretability analysis modules (SHAP and Grad-CAM) to examine the impact of 8 environmental scenes and 14 environmental elements in historic districts on public emotional experiences

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