Research on Application of Improved Text Cluster Algorithm in intelligent QA system

With rapid development of Internet information, It is quite an important project for data mining that how to classes these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and eigenvector representation on base of term frequency statistics, thereby it lessens sensitivity of input sequence and frequency, and effectively raises similarity accuracy of small text and simple sentence as well as preciseness and recall rate of text cluster result.