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利用自然语言处理技术,自动识别并分类电商客户咨询工单,提升客服响应效率与准确率。
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Analyze the following e-commerce customer inquiry ticket content, automatically classify it into predefined business categories such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, extract key entity information including order number, product name, and user sentiment, and finally output a structured classification result for the customer service team to handle quickly.
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请分析以下电商客户提交的咨询工单内容,根据预设的业务类别(如物流查询、退换货申请、产品咨询、投诉建议)对其进行自动分类,并提取关键实体信息如订单号、商品名称及用户情绪倾向,最终输出结构化的分类结果以便客服团队快速处理。
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