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A Sentiment Analysis of Online Reviews Based on the Word Alignment Model: A Product Improvement Perspective

机译:基于词对齐模型的在线评论情感分析:一种产品改进的观点

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Online reviews have become the main way for customers to publish their product usage perception. How to extract valuable real-time information from online comments and make business decision with more intelligence is the main task of big data business. In this study, we put forward a word alignment model to analyze the customer's emotional response to product attributes in online comments, from the perspective of product designers. Then, the KANO method is applied to analyze online comments and develop appropriate product improvement strategies. Our research shows that the combination of online reviews and classic management patterns can bring success to big data businesses.
机译:在线评论已成为客户发布其产品使用情况感知的主要方式。如何从在线评论中提取有价值的实时信息并以更智能的方式做出业务决策是大数据业务的主要任务。在这项研究中,我们提出了一个词对齐模型,用于从产品设计师的角度分析在线评论中客户对产品属性的情感反应。然后,使用KANO方法分析在线评论并制定适当的产品改进策略。我们的研究表明,在线评论和经典管理模式的结合可以为大数据业务带来成功。

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