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- W2366349849 abstract "Text categorization is a very important direction in text information process field. In order to save storage space and computingtime in text categorization,it is necessary to reduce data which need to be analyzed by effective algorithm before classification. This paperintroduces a method of dimensional reduction of features for text categorization. Unlike the traditional way,the feature refer in this article isthe phrase of different length extracted from sentence,then use odds ratio to process feature selection. Experimental results show that,theproposed method in this paper has higher accuracy than conventional ones." @default.
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- W2366349849 date "2008-01-01" @default.
- W2366349849 modified "2023-09-25" @default.
- W2366349849 title "A Feature Selection Method for Text Categorization" @default.
- W2366349849 hasPublicationYear "2008" @default.
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