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Research on the Evaluation Method of E-commerce Logistics Service Quality Based on Text Analysis

机译:基于文本分析的电子商务物流服务质量评价方法研究

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How to dig latent and useful logistics information resources from massive comment data of e-commerce logistics service is the foundation and key to improve logistics management and service quality.This paper aims to deal with text contents of E-commerce logistics service comments based on Chinese word segmentation, and uses LDA theme model to discover the potential topics in the comment texts of e-commerce logistics services, then applies the method of word frequency statistics to extract the key words of logistics service comment texts and makes its results visible, so as to accurately discover the key factors and information of logistics service comments.The paper uses the part of the logistics company's 3178 evaluation data on dianping.com, which automatically grabs through the web crawler technology as an example, and makes a comparative analysis of the text of logistics service comments on the dimension of company by using this text analysis method.
机译:如何从大量的电子商务物流服务评论数据中挖掘潜在的,有用的物流信息资源,是提高物流管理水平和服务质量的基础和关键。分词,使用LDA主题模型发现电子商务物流服务评论文本中的潜在主题,然后应用词频统计方法提取物流服务评论文本的关键词并使结果可见,从而本文以物流公司3178评价数据中的dianping.com部分为例,通过网络爬虫技术自动抓取,并对本文进行比较分析,以准确地发现物流服务注释的关键因素和信息。这种文本分析方法可以对物流服务在公司规模方面的意见进行评论。

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