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电商产品评论情感分类工具
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对电商平台用户发布的产品评论进行自动情感极性分类，区分正面、中性与负面评论，帮助商家快速梳理用户评价反馈。
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Read a given set of user review texts for products on e-commerce platforms, judge the sentiment polarity for each review and divide it into three categories: positive, neutral and negative, output an organized table with classification results, and ensure the classification results conform to the public's general perception of review sentiment.
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读取给定的一批电商平台产品用户评论文本，为每条评论判断情感极性，分为正面、中性、负面三类，输出带有分类结果的整理表格，分类结果符合大众对评论情感的普遍认知。
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