Text categorization with support vector machines: learning with many relevant features Export

@inproceedings{book98:svm, 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...}, address = {Chemnitz, DE}, author = {Joachims, Thorsten}, booktitle = {Proceedings of ECML-98, 10th European Conference on Machine Learning}, citeulike-article-id = {437141}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.6982}, editor = {N\'{e}dellec, Claire and Rouveirol, C\'{e}line}, keywords = {svm}, number = {1398}, pages = {137--142}, posted-at = {2008-11-03 13:07:40}, priority = {2}, publisher = {Springer Verlag, Heidelberg, DE}, title = {Text categorization with support vector machines: learning with many relevant features}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.6982}, year = {1998} }

TY - CONF ID - book98:svm L3 - citeulike-article-id:437141 N2 - 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... IS - 1398 AD - Chemnitz, DE EP - 142 TI - Text categorization with support vector machines: learning with many relevant features PB - Springer Verlag, Heidelberg, DE T2 - Proceedings of ECML-98, 10th European Conference on Machine Learning SP - 137 KW - svm AU - Joachims, Thorsten A2 - N\'{e}dellec, Claire A2 - Rouveirol, C\'{e}line PY - 1998/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.6982 ER -