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基于自然语言处理技术,自动识别并分类电商客服收到的用户咨询与投诉工单,提升响应效率。
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Please analyze the following user customer service conversation records from an e-commerce platform, determine the business category based on the content such as logistics inquiry, return or exchange application, product quality complaint, or account anomaly, extract key information like order number, problem description, and user sentiment, and finally output a structured ticket classification result for subsequent manual or automated processing.
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请分析以下来自电商平台的用户客服对话记录,根据对话内容判断其所属的业务类别,如物流查询、退换货申请、产品质量投诉或账户异常等,并提取关键信息如订单号、问题描述及用户情绪倾向,最终输出结构化的工单分类结果以便后续人工或自动化流程处理。
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