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The Online Comments Signature Words Selection with the Title and Description of Goods |
Liang Changyong, Wang Qianqian, Lu Wenxing, Ding Yong |
School of Management, Hefei University of Technology, Hefei 230009, China |
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Abstract At present, title and description of goods are rarely considered in the research of online reviews at home and abroad, this makes the mining process blindly and mining results are not high accurate. In this article, the authors use the cluster analysis method, consider the title and description, set up a three-level mining model to analyze the online comments, at the same time, a location-clustering-algorithm is proposed. Experimental results show that the method improves the accuracy of mining and reduces the mining time.
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Received: 16 March 2011
Published: 11 July 2011
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