%0 Conference Paper %1 Joachims1998 %A Joachims, Thorsten %B Proceedings of ECML-98, 10th European Conference on Machine Learning %C Heidelberg et al. %D 1998 %E Nédellec, Claire %E Rouveirol, Céline %I Springer %K %P 137--142 %T Text categorization with support vector machines: learning with many relevant features %U http://www.springerlink.com/content/drhq581108850171 %X 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.

@inproceedings{Joachims1998, abstract = {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.}, added-at = {2012-07-13T11:59:15.000+0200}, address = {Heidelberg et al.}, author = {Joachims, Thorsten}, biburl = {https://www.bibsonomy.org/bibtex/2619a33e5e90fe7cb6c28dcdcf217440b/jabreftest}, booktitle = {Proceedings of {ECML}-98, 10th European Conference on Machine Learning}, editor = {N{\'e}dellec, Claire and Rouveirol, C{\'e}line}, file = {Joachims1998.pdf:1998/Joachims1998.pdf:PDF}, groups = {public}, interhash = {997f731cfc4fdb02cb32eb88c4fab2e9}, intrahash = {619a33e5e90fe7cb6c28dcdcf217440b}, keywords = {}, pages = {137--142}, publisher = {Springer}, timestamp = {2012-07-13T11:59:15.000+0200}, title = {Text categorization with support vector machines: learning with many relevant features}, url = {http://www.springerlink.com/content/drhq581108850171}, username = {jabreftest}, year = 1998 }