In this paper, we propose a sophisticated technique for classification of topics appeared in documents. There have been many investigation proposed so far, but few investigation which capture contents directly. Here we consider a topics as a sequence of events and a classification problem as segmentation (or tagging) problem based on Hidden Markov Model (HMM). We show some experimental results to see the validity of the method.