Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1870516 | Physics Procedia | 2012 | 5 Pages |
Abstract
state-of-the-art text classification algorithms are good at categorizing the Web documents into a few categories. But such a classification method does not give very detailed topic-related class information for the user because the first two levels are often too coarse in Large-scale Text Hierarchies. In this paper, we propose a method named DNB which can improve the performance of classification effectively in experimental results.
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