Research ArticleOpen AccessGoogle Scholar indexed
Analysis of Consumer Appraisal of China’s Rural Specialty E-Commerce under Data Mining Method
School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
- 1 School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
- 2 School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
Open Journal of Statistics·Volume 08 (2018)·Pages 401–415·Published 9 May 2018·DOI10.4236/ojs.2018.83026
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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.
Keywords“Double-Invasion” PolicyUpsellRural SpecialtyData MiningEmotional Score
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