Machine learning based blog classification personal vs. official facet

Since the blog service brings a wealth of information resources, blog search and classification are showing their great research value. This paper focuses on the blog classification on the personal vs. official facet. Our system adopts a two-stage strategy; in training model, lexicons are built automatically; in classification model, scoring and ranking are carried out orderly. Our experimental results reveal that feature selection, Mutual Information weighting are good for lexicons with significant results. However, sentiment words can only slightly improve the results.