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In text categorization, term selection is an important step for the sake of both categorization accuracy and computational efficiency. Different dimensionalities are expected under different practical resource restrictions of time or space. Traditionally in text categorization, the same scoring or ranking criterion is adopted for all target dimensionalities, which considers both the discriminability and the coverage of a term, such as χ 2 or IG. In this paper, the poor accuracy at a lowdblp:conf/emnlp/LiS07 fatcat:765n32e32jc6pfmxixlzhksbou