Research and Implement of Classification Algorithm on Web Text Mining

Research and application of Web text mining is an important branch in the data mining. Web is the biggest information system currently. Now people mainly use the search engine to look up Web information. The problem of getting reliable rate and comprehensive rate is increasingly convex, and it is very difficult to mine data further. Now the search engine can hardly provide individual service according to different need of different customers. However, Web text mining aims at resolving this problem. This paper discusses an Algorithm of how to follow the appointed Website or Web page according to the user´s request, how to analysis, compare, sample, reserve and classify the data information combined with the Web page text contents for later use. The model of Web text mining, mining algorithm and implement technique are discussed in details.