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New Technology of Library and Information Service  2014, Vol. 30 Issue (7): 77-83    DOI: 10.11925/infotech.1003-3513.2014.07.11
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The Analysis of Credit Standing of E-businessman Based on the Data Mining of Users' Online Evaluation
Bi Dayu1,2, Xia Xiaoxu2, Wang Jing2
1. E-Commerce Research Center of Hubei Province, Central China Normal University, Wuhan 430079, China;
2. Information Management School, Central China Normal University, Wuhan 430079, China
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Abstract  

[Objective] This article discusses the credit of e-businessmen who used the third party e-business platform.[Methods] First, the weight of e-businessmen credit evaluation index system should be made clearly. Secondly, there views of customers are quantified by Chinese words segmentation technology and emotional word polarity identification method. Thirdly, the credit of e-businessmen is calculated with grey correlation analysis method.[Results]The degrees of membership of four levels, which include best, better, general and poor level are calculated. Then, it can be concluded the credit of e-businessman by using the result.[Conclusions] With the method of grey correlation analysis in the situation of incomplete information and small sample, the authors can formulate a reasonable method of evaluating the credit of e-businessman using the review of customers. This method can quantify the contents in arelatively unified standard, and acquire the distribution of different evaluation.
Key words： Online evaluation      E-businessman credit standing      Evaluation index system      Grey correlation analysis     
Received: 23 January 2014      Published: 20 October 2014
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Bi Dayu
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Cite this article:

Bi Dayu, Xia Xiaoxu, Wang Jing. The Analysis of Credit Standing of E-businessman Based on the Data Mining of Users' Online Evaluation. New Technology of Library and Information Service, 2014, 30(7): 77-83.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.07.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I7/77

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