User Needs Mining Based on Topic Analysis of Online Reviews

User Needs Mining Based on Topic Analysis of Online Reviews

Blog Article

The FIBERRIFIC + ENZYMES purpose of this paper is to aggregate the topic information of online review text and clarify the user needs.We conducted the study on online reviews of women’s clothing store of Taobao.com with semantic analysis and text mining.Online reviews were collected by means of web crawler.

Using Chinese word segmentation tool and data analysis tool, the word frequency statistics was realized.The statistical software was used for the clustering analysis and multidimensional scaling analysis of high frequency keywords.The results show that the content of online reviews mainly includes four topics: basic features of products, additional features of products, user experience and product display.It reveals the potential user needs of women’s clothing store of Taobao.

com, which 1200D Nylon Horse Rug Combo (200g fill) cannot only help consumers to make rational decisions, but also provide guidance to merchants and manufacturers.