應用文字探勘分析網路團購商品群集之研究 －以美食類商品為例

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應用文字探勘分析網路團購商品群集之研究－以美食類商品為例

The study of analyzing group-buying goods clusters by using text mining – exemplified by the group-buying foods

趙婉婷 , Masters　　Advisor：楊建民　　

繁體中文

文字探勘；團購；最近鄰居法； kNN分群； Text Mining ； Group-buying ； k-Nearest Neighbors ； kNN clustering

Abstract │ Reference (41) │ Altmetrics

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Group-buying is prevailing, the items of merchandise diverse recently. In order to let consumer find the commodities they are interested in, the research focus on the cluster analysis about group-buying products and clusters products by the features of them.

We catch the blogs of products posted by customers, via text mining to retrieve the features of products, and then establish the kNN clustering device to cluster them. This research sets different threshold values to test, and multiply clusters big groups, and merges small groups by centroid, we expect to obtain the best quality cluster.

From the results, 268 items of group-buying foods can be divided into 28 clusters, and the mean of Intra-Similarity also can be improved. The 28 clusters can be categorized to three main clusters：Bread, Cake, and Other mouthfeel foods. We can define and name each cluster by catch the top twenty percent of the keywords in each cluster. The results of this paper could help buyers find similar commodities which they like, and also help sellers make the great marketing activity plan.

Reference ( 41 ) 〈TOP〉

2.巫啟台，「文件之關聯資訊萃取及其概念圖自動建構」，國立成功大學資訊工程學系碩博士班，碩士論文，2002。
連結：
3.林淑婉，「影響網路團購再購意願因素之研究」，大同大學事業經營所，碩士論文，2010。
連結：
4.張家蓁，「資料採礦應用於消費者網路團購因素探勘之研究」，淡江大學管理科學研究所企業經營碩士在職專班，碩士論文，2010。
連結：
6.曾元顯，「數位文件之資訊組織與主題分析自動化之技術與應用」，台北市立圖書館館訊，2002年，第二十卷，第二期，23-35。
連結：
9.詹益發，「網站部落格之顧客口碑評論分析研究-以台灣咖啡飲料市場為例」，元智大學資訊管理學系，碩士論文，2009。
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