A Analysis And Empirical Research On Enterprise Competition Intelligence Based On Web Review

With "Internet plus" environment, e-commerce has become a new impetus to foster economic process, the electricity supplier of enterprise more and more rapid,online shopping scale expands day by day. How to use Internet resources to carry out the enterprise competitive intelligence, enhance the core competitiveness of fourth enterprises, has become the "Internet plus" Environment Research of enterprise competitive intelligence. At the same time Web comments as the first major factor affecting online shopping decisions,to carry out enterprise competitive intelligence work based on Web comments can not only understand the user's product attitude, but also will directly affect the enterprise's electricity supplier process.The theory and practice based on competitive intelligence at home and abroad are summarized, the Web review of the research are summarized and introduced the concept of enterprise competitive intelligence, the main research methods and contents of Web, reviews about the introduction of the concept and classification of Web channels, the application of competitive intelligence value.Secondly Web reviews enterprise competitive intelligence collection and analysis methods are compared based on the analysis, and in accordance with the classification of the comment construction method and classification model,respectively established the application model of social, comment and business Web review of enterprise competitive intelligence based on the analysis, and the process was analyzed, according to the analysis of application in the competitive environment, competitors and their strategies.Finally, this paper selects 5 millet and millet mobile phone company has carried on the case analysis, combined with the analysis of application model,through the analysis of mobile phone industry market environment Zol.com online;rely on micro index analysis of the user area; write PHP code acquisition more than 3 electricity supplier Web comments, using data mining method, by means of analysis of product features, NLPIR software user sentiment; word co-occurrence based method, relying on micro-blog Baidu search related comments,identification of competitors. The end of the text summarizes the analysis.