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電商評價分析
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針對電商平台售後環節的用戶反饋，透過自然語言處理技術提取關鍵痛點與情感傾向，生成結構化改進建議報告，助力提升客戶滿意度與產品迭代效率。
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複製
複製
Act as a senior e-commerce operations expert to deeply analyze the provided user after-sales review data, identifying product quality defects, logistics issues, or service attitude flaws reflected within them. Summarize the high-frequency complaint points and sentiment polarity distribution, and finally output an optimization suggestion report containing specific improvement measures and priority rankings to support business decisions.
複製
請作為資深電商運營專家，深入分析提供的用戶售後評價數據，識別其中反映的產品質量缺陷、物流問題或服務態度瑕疵，並總結高頻投訴點與情感極性分佈，最終輸出一份包含具體改進措施與優先級排序的優化建議報告，以支援業務決策。
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