Research On Web Chinese Word Information Filtering Based On Particle Swarm Optimization Algorithm

Particle Swarm Optimization is a new kind of evolutionary computation. In this paper we first study the Chinese word segmentation and text features selection technologies, and analyze the principles and basic steps of these technologies as well as some common algorithms. Moreover, some related algorithms are improved according to the characteristic of this paper. Then we analyze the PSO algorithm, including the introduction,principles,basic steps,application procedures and parameter setting, etc. Inertial factor and convergence factor are introduced to test the optimal capacity of the algorithm in the experiment and the experimental results are also analyzed. We design a PSO classifier according to the characteristic of PSO and the mining method of classification rules, and apply the classifier to information filtering. Results show that this proposed classifier performs well when filtering information. Thus we can prove that PSO is promising in terms of feasibility and validity of information filtering. Wang Dong(Computer Applied Technology)...