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利用自然語言處理技術,對電商客服收到的用戶諮詢、投訴及建議工單進行語義分析與意圖識別,自動歸類至預設的業務類別中,以提升客服團隊的處理效率與響應速度。
複製
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.
複製
請分析以下電商客服收到的用戶工單內容,根據用戶描述的具體問題、情緒傾向及核心訴求,將其自動歸類到預設的業務類別中,如物流查詢、產品質量問題、退換貨申請或價格爭議,並輸出分類結果及簡要的理由說明,以便客服團隊快速響應和處理。
複製
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