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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (8): 59-67    DOI: 10.11925/infotech.2096-3467.2017.08.07
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Evaluating Business Reputation with E-Commerce Comments
Wang Yu(), Li Xiuxiu
Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
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Abstract  

[Objective] This paper proposes a new method to evaluate business reputation based on e-commerce comments. [Methods] First, we modified the key word extraction and clustering algorithm based on the HNC theory and text mining methods. Then, we extracted the cluster labels and calculated the weight of each cluster of the collected comments. [Results] We established a business reputation dimension system, with cellphone users’ reviews posted on the Jingdong Online Shopping Platform. [Limitations] Some of the word symbols were generated manually due to the incomplete HNC thesaurus, which posed negative effects to larger-scale comments analysis. [Conclusions] The business reputation evaluation system can identify the commodity features that users really care about.

Key wordsComment Texts      Topic Words Clustering      Reputation Dimension      E-Commerce     
Received: 27 May 2017      Published: 28 September 2017
ZTFLH:  TP391  

Cite this article:

Wang Yu,Li Xiuxiu. Evaluating Business Reputation with E-Commerce Comments. Data Analysis and Knowledge Discovery, 2017, 1(8): 59-67.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.08.07     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I8/59

序号 维度名称 簇标签 主题词数量
(累计词频)
权重
1 性能质量 屏幕-性能-系统-电池 1 743 0.36
2 客服服务 服务-客服-态度 1 300 0.27
3 物流速度 快递-物流 578 0.12
4 诚实守信 正品-正版-原装 482 0.10
5 外形设计 外形-外观 424 0.09
6 产品价格 价-价格 289 0.06
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