An Analysis of the Sales and Consumer Preferences of E-cigarettes Based on Text Mining of Online Reviews

被引：0
|
作者：
Chen, Guanhao [1 ]
Wan, Yan [1 ]
Xu, Xiaoxin [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing, Peoples R China
[2] Beijing Normal Univ, Sch Social Dev & Publ Policy, Beijing, Peoples R China
来源：
2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2016年
基金：
中国国家自然科学基金;
关键词：
Text mining; Electronic cigarettes; Natural language processing; Sentiment analysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
After viewing the literatures of text mining methods, we found that seldom have researchers studied the utility of text mining methods on massive online reviews. We draw more than 400000 reviews from an e-commerce platform and calculate the sentiment values and the frequency of feature words. Then we study the time dimension and geographical distribution of sales volume and sentiment values, as well as the geographical distribution of feature keywords. By doing this, we extract valuable information and discuss the consumer profiles of online users, coming out the conclusion that the sales volume isn't necessarily corresponding to sentiment strength and there exists differentiation in focus of people in different provinces.
引用
收藏
页码：1045 / 1049
页数：5
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