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利用自然语言处理技术,对电商平台用户咨询与投诉工单进行语义分析与意图识别,自动归类至售后、物流或产品咨询等具体业务模块,提升客服响应效率与准确率。
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Analyze the provided e-commerce customer consultation text to identify the core request and determine its business category. If the user mentions damaged, missing, or malfunctioning items, categorize it as an after-sales issue. If it involves delayed shipping, logistics updates, or lost packages, categorize it as a logistics issue. If it asks about product specifications, usage tutorials, or compatibility, categorize it as a product inquiry. Ignore emotional expressions and extract key facts for precise classification, outputting the corresponding standard business label.
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请分析提供的电商用户咨询文本,识别其核心诉求并判断所属业务类别。若用户提及商品破损、缺失或功能故障,归类为售后问题;若涉及发货延迟、物流信息更新或快递丢失,归类为物流问题;若询问产品规格、使用教程或兼容性,归类为产品咨询。请忽略情绪化表达,仅提取关键事实进行精准分类,并输出对应的标准业务标签。
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