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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,自动识别问题类型并分配至对应处理部门,提升响应效率与用户满意度。
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Analyze the following e-commerce support ticket text to identify the core issue type (such as logistics delay, product damage, refund dispute, or general inquiry), categorize it into the corresponding handling department based on predefined rules, extract key entities like order ID, product name, and user sentiment, and finally output a structured classification result with suggested handling solutions, ensuring accuracy and compliance with business standards.
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请分析以下电商售后工单文本,识别其核心问题类型(如物流延误、商品破损、退款争议、咨询解答等),并根据预设的分类规则将其归类到相应的处理部门,同时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与建议处理方案,确保分类准确且符合业务规范。
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