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利用自然語言處理技術,對電商平台用戶諮詢與投訴工單進行語義分析與意圖識別,自動歸類至售後、物流或產品諮詢等具體業務模塊,提升客服響應效率與準確率。
複製
Analyze the provided e-commerce customer consultation text to identify the core request and determine its business category. If the user mentions damaged, missing, or malfunctioning items, categorize it as an after-sales issue. If it involves delayed shipping, logistics updates, or lost packages, categorize it as a logistics issue. If it asks about product specifications, usage tutorials, or compatibility, categorize it as a product inquiry. Ignore emotional expressions and extract key facts for precise classification, outputting the corresponding standard business label.
複製
請分析提供的電商用戶諮詢文本,識別其核心訴求並判斷所屬業務類別。若用戶提及商品破損、缺失或功能故障,歸類為售後問題;若涉及發貨延遲、物流信息更新或快遞丟失,歸類為物流問題;若詢問產品規格、使用教程或兼容性,歸類為產品諮詢。請忽略情緒化表達,僅提取關鍵事實進行精準分類,並輸出對應的標準業務標籤。
複製
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