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摘要:
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.
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篇名 Analysis of Consumer Appraisal of China’s Rural Specialty E-Commerce under Data Mining Method
来源期刊 统计学期刊(英文) 学科 医学
关键词 “Double-Invasion” Policy Upsell RURAL SPECIALTY Data Mining EMOTIONAL SCORE
年,卷(期) 2018,(3) 所属期刊栏目
研究方向 页码范围 401-415
页数 15页 分类号 R73
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
“Double-Invasion”
Policy
Upsell
RURAL
SPECIALTY
Data
Mining
EMOTIONAL
SCORE
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
统计学期刊(英文)
半月刊
2161-718X
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
584
总下载数(次)
0
总被引数(次)
0
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