Multi-feature Fusion Method for Blog Post Classification
Blog has become one of the most popular applications on Internet.The content of Blog posts is various,so it's meaningful to have a research on Blog post classification.As Blog posts are different from News articles,common text classification methods doesn't perform well.We present a new method which is fit for Blog post classification in this paper.The method can make full use of the features of Blog post like Tag and custom category and fuse them.The noise words in custom category are filtered by pretreament.We find that the precision of this method is obviously better than common text classification methods.