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利用自然语言处理技术,对电商客服收到的用户咨询、投诉及建议工单进行语义分析与意图识别,自动归类至预设的业务类别中,以提升客服团队的处理效率与响应速度。
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Analyze the following e-commerce customer service ticket content, identify the user's core issue, emotional tone, and specific request, and automatically categorize it into predefined business categories such as logistics inquiry, product quality issue, return or exchange application, or price dispute. Output the classification result along with a brief explanation of the reasoning to facilitate quick response and handling by the customer service team.
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请分析以下电商客服收到的用户工单内容,根据用户描述的具体问题、情绪倾向及核心诉求,将其自动归类到预设的业务类别中,如物流查询、产品质量问题、退换货申请或价格争议,并输出分类结果及简要的理由说明,以便客服团队快速响应和处理。
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