%0 Journal Article
%T Analysis of Consumer Appraisal of China¡¯s Rural Specialty E-Commerce under Data Mining Method
%J Open Journal of Statistics
%P 401-415
%@ 2161-7198
%D 2018
%I Scientific Research Publishing
%R 10.4236/ojs.2018.83026
%X In the research, the crawler technology was used to evaluate the Taobao silkie, and product evaluation data is the case object. After word segmentation, naive Bayesian, K-means, and TF-IDF related algorithms were used to complete word frequency statistics, sentiment analysis, and cluster analysis. It was found that the quality of rural specialty products was more recognized by e-commerce customers, but its overall emotional score was slightly lower than that of non-origin products. After summing up the drawbacks of the former, targeted countermeasures and suggestions were proposed.
%K ¡°Double-Invasion¡± Policy
%K Upsell
%K Rural Specialty
%K Data Mining
%K Emotional Score
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=84641