Support Vector Learning

Machine Learning: ECML-98

Volume 1398 of the series Lecture Notes in Computer Science pp 137-142


Text categorization with Support Vector Machines: Learning with many relevant features

  • Thorsten JoachimsAffiliated withUniversität Dortmund, Inforinatik LS8

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This paper explores the use of Support Vector Machines (SVMs) for learning text classifiers from examples. It analyzes the particular properties of learning with text data and identifies why SVMs are appropriate for this task. Empirical results support the theoretical findings. SVMs achieve substantial improvements over the currently best performing methods and behave robustly over a variety of different learning tasks. Furthermore they are fully automatic, eliminating the need for manual parameter tuning.