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利用自然語言處理技術,自動識別並分類電商客戶諮詢工單,提升客服響應效率與準確率。
複製
Analyze the following e-commerce customer inquiry ticket content, automatically classify it into predefined business categories such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, extract key entity information including order number, product name, and user sentiment, and finally output a structured classification result for the customer service team to handle quickly.
複製
請分析以下電商客戶提交的諮詢工單內容,根據預設的業務類別(如物流查詢、退換貨申請、產品諮詢、投訴建議)對其進行自動分類,並提取關鍵實體資訊如訂單號、商品名稱及用戶情緒傾向,最終輸出結構化的分類結果以便客服團隊快速處理。
複製
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