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基於自然語言處理技術,自動識別並分類電商客服收到的用戶諮詢與投訴工單,提升響應效率。
複製
Please analyze the following customer message received by an e-commerce support team and determine its business category. The categories include: Logistics Inquiry, Return/Exchange Request, Product Quality Complaint, Price Dispute, and General Consultation. Read the user's input carefully, extract key information such as order numbers, product names, and problem descriptions, and then classify the message into one of the five predefined categories based on established standards. If the message involves multiple issues, select the most urgent or core issue for classification. Finally, output the result in JSON format, including the original message, the predicted category, and a confidence score, ensuring the classification is accurate and meets actual business needs.
複製
請分析以下電商客服收到的用戶消息,判斷其所屬的業務類別。業務類別包括:物流查詢、退換貨申請、產品質量投訴、價格爭議以及一般諮詢。請仔細閱讀用戶輸入的內容,提取關鍵信息如訂單號、商品名稱、問題描述等,然後根據預設的分類標準將消息歸類到上述五個類別之一。如果消息涉及多個問題,請選擇最緊急或最核心的問題進行分類。最後,請以JSON格式輸出結果,包含原始消息、預測類別以及置信度分數,確保分類準確且符合實際業務場景的需求。
複製
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