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Learning to Classify Text Using Support Vector Machines - The Springer International Series in Engineering and Computer Science Thorsten Joachims 2002 edition
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Learning to Classify Text Using Support Vector Machines - The Springer International Series in Engineering and Computer Science
Thorsten Joachims
Based on ideas from Support Vector Machines (SVMs), this title presents an approach to generating text classifiers from examples. This book gives a detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, and, efficient performance estimation.
205 pages, biography