Analysis of Network Information Based on Chinese Text Topic Tracking
Ke Wang · Journal of Sichuan University · 2004
With the rapid development of Network, to monitor and control the huge amount of information through the net is one of the most difficult techniques in Network. This paper processes with the goals of network information analysis and discusses the models of information intercept and analysis. It also introduces the technique of topic-tracking to analysis of Chinese text in network environment and discusses the concept of a topic issue tendency tracking algorithm based on Chinese text topic tracking. It realizes the algorithm of Simple Issue Tendency Tracking, does some experiments in real network environment and analyses the result of the experiment. The result indicates that the algorithm can meet the real-time request with accurate 88.92%.