A Feature Selection Method for Text Classification
A feature selection method and text classification technology, which can be used in text database clustering/classification, unstructured text data retrieval, special data processing applications, etc., and can solve the problems of high feature dimension and low classification accuracy.
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[0053] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.
[0054] Aiming at the existing problem of high feature dimension or low classification accuracy, the present invention provides a text classification feature selection method.
[0055] like figure 1 As shown, the text classification feature selection method provided by the embodiment of the present invention includes:
[0056] Step 1: Obtain feature set S and target category C, and calculate each feature x in feature set S (i) The degree of association R with the target category C c (x (i) ), and according to the degree of relevance R c (x (i) ) size to sort the feature set S in descending order;
[0057] Step 2: Calculate the redundancy R between every two features in the feature set S x and degree of synergy S x , combined with the correlation d...
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