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电商产品评论情感提炼整理
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针对电商平台单款商品的数百条用户评论，快速提炼不同情感倾向的核心观点，整理出清晰结构化的汇总内容，辅助商家快速掌握用户评价反馈。
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Process user reviews of a specific product on an e-commerce platform, first sort each review into positive, neutral and negative sentiment categories, then extract core opinions mentioned by users under each category, merge identical or similar opinions, and finally organize them into a logically clear summary for merchants to quickly understand user feedback on this product.
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你现在需要处理电商平台某款商品的用户评论，先区分每条评论的正向、中性、负向情感倾向，再分别提炼每类情感下用户提到的核心观点，相同或相似观点合并，最后整理成逻辑清晰的汇总内容，方便商家快速了解这款商品的用户反馈情况。
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