Chinese Text Mining Based On Online Customer Review

With the rapid development and the growing popularity of e-commerce, more and more products are sold on the Web, and more and more people are buying products on the Web. Customer review is important channel to exchange information and to obtain valuable information for customers and producers. For potential consumers, through other users' comments, they can fully understand the detailed product or service they concern, and make a decision whether to buy; for the producers, from consumer reviews, they improve products and services and enhance the competitiveness of enterprises by understanding consumer spending habits, interests, characteristics and consumer intentions.In this study, the concepts, processes and overarching goals of the text mining are introduced firstly. Owing to mining the specific features of the product that customers have opinions on and also whether the opinions are positive or negative, Techniques about sentiment analysis and LDA model are presented to mine such features. In this paper, task is performed in three steps:(1) identifying opinion sentences in each review and deciding whether each opinion sentence is positive or negative;(2) mining product features that have been commented on by customers respectively;(3) summarizing the results.