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利用自然语言处理技术,对电商客户咨询与投诉工单进行语义分析与意图识别,实现自动化分类与优先级排序,提升客服响应效率与服务质量。
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Analyze the provided e-commerce customer ticket text to identify its core intent, such as return inquiries, logistics queries, or quality complaints, and categorize it into the corresponding processing queue based on predefined business rules, while assessing urgency to assist human agents in prioritizing high-urgency issues.
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请分析提供的电商客户工单文本,识别其核心意图,如退货咨询、物流查询或质量投诉,并根据预设的业务规则将其归类至相应的处理队列,同时评估紧急程度以辅助人工客服优先处理高优先级问题。
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