TITLE:
Analysis of Consumer Appraisal of China’s Rural Specialty E-Commerce under Data Mining Method
AUTHORS:
Xiaoyu Liu, Youdong Wen
KEYWORDS:
“Double-Invasion” Policy, Upsell, Rural Specialty, Data Mining, Emotional Score
JOURNAL NAME:
Open Journal of Statistics,
Vol.8 No.3,
May
18,
2018
ABSTRACT: 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.