Author(s)

Xiaoyu Liu, Youdong Wen

School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China.

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.

“Double-Invasion” Policy, Upsell, Rural Specialty, Data Mining, Emotional Score

Liu, X. and Wen, Y. (2018) Analysis of Consumer Appraisal of China’s Rural Specialty E-Commerce under Data Mining Method. Open Journal of Statistics, 8, 401-415. doi: 10.4236/ojs.2018.83026.