Feature Selection And Clustering Approcahes To The Svm Text Categorization
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Abstract
Automatic text classification is a discipline at the cross roads of information retrieval machine learning and computational linguistics and consists in the realization of text classifiers. (ie) software systems capable of assigning text to one or more categories or classes, from a pre-defined set. This article will focus on the feature selection for, reducing the dimensionality of the vectors, after that we apply one pass clustering for group the related data’s and then we apply classification technique like SVM for categorizations the data and finally evaluate the results by using precision, etc.,
Keywords: Text Categorization, Pre-processing, LSI, one pass clustering, SVM.
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