关键词: 文本分类, 博客文章分类, 结构特征, 内容分析

Abstract: Aiming at the problems of blog posts contents including multiple themes, unobvious categories ownership and more author’s subjective views, structures including tags which are different from texts, common text classification methods not performing well, a new blog posts classification method is presented based on structural characteristics and content analysis. By taking into account blog posts content features, it iterates two different feature extraction methods to enhance the representative ability of feature collection effectively, makes use of main body and title classification. By taking into account the structural features of blog posts, it makes use of tags classification and finally fuses three aspects. The experimental results show that the performance of the improved method is obviously better than common text classification methods.

Key words: text classification, blog post classification, structural characteristics, content analysis