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Linear SVM for organizing data
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Author(s) |
Marcin Jurczak |
Abstract |
This paper demonstrates that the text categorization
(TC) is a good automatic method for organizing data. Some features
of the TC problem are described and explained that linear
Support Vector Machines (SVM) is an appropriate technique
for this task. Theoretical considerations are illustrated through
examples in which the text categorization problem has been
solved with SVM.
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Download |
Filename: | 265 |
Filesize: | 71.9 KB |
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Type |
Members Only |
Date |
Last modified 2006-02-08 by System |
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