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The Analysis of Product Evaluation and Sales Characteristic Model Based on Data Mining

机译:基于数据挖掘的产品评估与销售特征模型分析

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Since a lot of online evaluation information is accumulated with the application and development of e-commerce industry, sentiment analysis technology can be used to mine and utilize it effectively, so as to provide reference for e-commerce industry management. First, a sentiment semantic classification dictionary was constructed based on the frame semantics theory. Then, based on the dictionary and some rules, the sentiment of online reviews was analyzed. Finally, through the test of online review data, a higher accuracy rate and recall rate were obtained, which proved the validity and effectiveness of the research method.
机译:由于电子商务行业的应用和发展积累了大量的在线评估信息,因此可以利用情感分析技术进行有效的挖掘和利用,为电子商务行业的管理提供参考。首先,基于框架语义理论构建了情感语义分类词典。然后,基于词典和一些规则,分析了在线评论的情绪。最后,通过对在线评论数据的测试,获得了较高的准确率和查全率,证明了该研究方法的有效性和有效性。

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