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Text Mining on Consumer Reviews of Internet of Things (loT) Applications

机译:消费者对物联网(loT)应用程序的评论中的文本挖掘

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The aim of this study is to analyze reviews of "Internet of Things (loT)" related products by using text mining. Apart from sentiment analysis, our anticipated goal is to find out the features of loT products appeal the most to the consumers. Based on the clustering results, we were able to draw conclusion on common advantages of loT products and provide suggestions to the technical improvement as well as some useful business strategies from aspects such as private issues that most consumers shared with their concerns.
机译:这项研究的目的是通过使用文本挖掘来分析“物联网(loT)”相关产品的评论。除了情感分析外,我们的预期目标是找出对消费者最有吸引力的loT产品的功能。基于聚类结果,我们能够从loT产品的共同优势中得出结论,并从诸如大多数消费者共同关心的私人问题等方面为技术改进以及一些有用的业务策略提供建议。

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