Automatic identification of Chinese weblogger's interests based on text classification

Chinese weblogs have been expanded in an incredible speed in recent years. There is plentiful personal information in weblogs. In this paper, we propose a text classification based approach to automatically identify the interests of a weblogger. To solve the problems arising out of classifying weblog documents, the technique of heterogeneous classifiers combination is used here. We also use hierarchical classification technique to identify much specific interests. Experiments show that our interest identification approach has a high accuracy and, for most webloggers in our experiments, their interests implied in the contents of blogs could be well identified by using this approach.