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The paper proposes S2TDR, a structured multimodal framework that converts sticker turns in dialogues into contextually appropriate text via visual cue extraction, affective-intent inference, and context-aware reconstruction, improving downstream sentiment analysis, intent recognition, and summarization over direct sticker integration.