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E-commerce Ticket Classification
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Automatically identify e-commerce support ticket intents, categorize them into logistics, quality, refund, or consultation, and extract key entities to assist customer service agents in rapid response.
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Analyze the provided e-commerce support ticket text to identify its core intent and categorize it into standard classes such as logistics delay, product quality issue, refund dispute, or consultation suggestion. Simultaneously extract key entities like order numbers, product names, and user sentiment, then output a structured classification result with handling suggestions to assist human agents in rapid response.
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