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To fully characterize the rich emotional preferences of consumers embedded in two-stage online customer reviews information, considering consumers\u2019 individual preferences and product objective evaluation information, we construct a combination weighting method to calculate comprehensive weights of product attributes, and then exploit the sentiment analysis technique, interval-valued probabilistic linguistic term set (IVPLTS) and preference ranking organization method for enrichment evaluations (PROMETHEE) to establish a products ranking method based on compound reviews, and then we use it to identify the sentiment orientation of reviews and the results. 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