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E-commerce Product Review Sentiment Classifier
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Classify sentiment of e-commerce product user reviews into positive, neutral and negative to help merchants quickly sort out user feedback.
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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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