Currently, text classification studies mainly focus on training classifiers by using textual input only, or enhancing semantic features introducing external knowledge (e.g., hand-craft lexicons and domain knowledge). In contrast, some intrinsic statistical of the corpus, like word frequency distribution over labels, are not well exploited. Compared with knowledge, deterministic naturally compat...
