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利用自然語言處理技術,對電商平台用戶提交的售後諮詢與投訴工單進行語義分析,自動識別問題類型並分配至對應處理部門,提升響應效率與用戶滿意度。
複製
Analyze the following e-commerce support ticket content to identify its core issue type (such as logistics delay, product damage, refund dispute, or general inquiry) and categorize it into the corresponding handling department based on predefined classification rules. Additionally, extract key entity information (such as order ID, product name, and user sentiment) to generate a concise ticket summary for quick human agent intervention.
複製
請分析以下電商售後工單內容,識別其核心問題類型(如物流延誤、商品破損、退款爭議、諮詢解答等),並根據預設的分類規則將其歸類至相應的處理部門。同時,提取關鍵實體信息(如訂單號、商品名稱、用戶情緒傾向),生成一份簡潔的工單摘要,以便人工客服快速介入處理。
複製
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