Automatic Classification Based on News Titles for Chinese News Web Pages
基于标题的中文新闻网页自动分类

This paper describes automatic Chinese news Web pages classification by using news title based on tf-idf weighting scheme,and constructs correlation degree of news title which determines appropriate category for each news Web page. The performance of this proposed method is evaluated in terms of top one score,top two score,and top three score. The experimental evaluation demonstrates that improved tf-idf weighting scheme with categories provides high accuracy with the classification of Chinese news Web pages.