User Needs Mining Based on Product Reviews in Social Media: Taking Microblog as an example
In the context of social commerce, many Taobao womens clothing stores have been using social media such as Microblog for communication and marketing.In order to extract the topic information of product reviews text and clarify the demand of Microblog users, the paper has conducted semantic analysis and text mining on the product reviews of the official microblog of Taobao womens clothing store.It revcals that the high frequency keywords of product reviews text are grouped into four categories, namely four topics.According to the centrality in descending order, the four topics of product revievs are product feature, user experience, information interaction and Microblog promotion.From the perspective of social media, the potential needs of consumers have been mined, so as to provide decision-making support for Taobao womens clothing stores.
Microblog product reviews user needs topic analysis text mining
Liqiong Liu Liyi Zhang Pinghao Ye Qihua Liu
School of Business Administration Wuhan Business University Wuhan,China School of Information Management Wuhan University Wuhan,China School of Information Engineering Wuhan Business University Wuhan,China School of Information Technology Jiangxi University of Finance and Economics Nanchang,China
国际会议
郑州
英文
179-184
2018-09-21（万方平台首次上网日期，不代表论文的发表时间）