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Feature selection is the key issue in text classification because there are a large number of attributes. In this paper, we propose a new algorithm OR+SVM-RFE that integrates Odds Radio(OR) with recursive feature elimination based on SVM(SVM-RFE). Odds Radio is first used to roughly and rapidly select a feature subset. Then SVM-RFE is used to delicately select a smaller feature subset. Experiment...
Feature selection and feature weight calculating are key preprocesses in text classification. A new feature selection approach based on average interaction gain (AIG) is presented and a new feature weight adjustment technique (WA) taking inter-class distribution and intra-class distribution into consideration is presented too. Then a new approach combining AIG with WA called AIG-WA is presented. In...
Most Chinese text classification methods are based on Chinese word segmentation and bag of words (BOW). The classification performance largely relies on the accuracy of segmentation. Unfortunately, perfect precision and disambiguation of segmentation cannot be reached. In order to solve this problem, a novel Chinese text classification method using string kernel is presented. String kernel computes...
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