Web Information Collection and Statistics Services Based on LSA
Shen Jianjing · Jisuanji gongcheng · 2008
In network information age,the traditional statistics and prediction methods have not been applicable to Web information collection and statistics anymore and owing to the requirements of information collection and statistics in special area are clearer than before,it makes the effectively directional information collection and statistics in special area and getting the corresponding predictive results become a more important research direction.This paper applies the technologies of Chinese word segmenting,Latent Semantic Analysis(LSA),semantic matching,and constructs a user interest model.In the mean time,it uses Service-Oriented Architecture(SOA) to design the Web information collection and statistics service,and validates the effect of the analysis of Web page gathering structure and unknown information,forecast for the relevance of Web page to control the information collection and statistics by concrete experiments.