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电商客服工单分类
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利用自然语言处理技术，对电商平台用户提交的售后咨询与投诉工单进行语义分析与意图识别，自动归类至物流、质量或退款等具体业务模块，以提升客服响应效率与处理准确率。
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Analyze the following e-commerce support ticket text to identify the user's core request and emotional tone, then automatically categorize it into specific business modules such as logistics delay, product quality issue, return/refund application, or general inquiry, while extracting key entities like order ID, product name, and problem description for subsequent manual agent intervention.
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请分析以下电商售后工单文本，识别用户的核心诉求与情绪倾向，并将其自动归类为物流延误、商品质量问题、退换货申请或咨询建议等具体业务类别，同时提取关键实体信息如订单号、商品名称及问题描述，以便后续人工客服快速介入处理。
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