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https://link.springer.com/chapter/10.1007%2FBFb0026683
Jun 16, 2005 · 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.Cited by: 10558
http://web.cs.iastate.edu/~jtian/cs573/Papers/Joachims-ECML-98.pdf
Text Categorization with Support Vector Machines: Learning with Many Relevant Features Thorsten Joachims Universit£t Dortmund lnformatik LS8, Baroper Str. 301 44221 Dortmund, Germany Abstract. This paper explores the use of Support Vector Machines (SVMs) for learning text classifiers from examples. It analyzes the par-
http://www.cs.cornell.edu/people/tj/
Joachims, Thorsten, A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. Proceedings of International Conference on Machine Learning (ICML), 1997. [Postscript (gz)] [Joachims/97b] T. Joachims, Text Categorization with Support Vector Machines: Learning with Many Relevant Features. LS8-Report 23, Universitaet ...
https://www.scirp.org/reference/referencespapers.aspx?referenceid=2645477
Joachims, T. (1998) Text Categorization with Support Vector Machines Learning with Many Relevant Features. In European Conference on Machine Learning, Springer, Berlin, Heidelberg, 137-142.
https://www.semanticscholar.org/paper/Text-Categorization-with-Support-Vector-Machines%3A-Joachims/40212e9474c3ddf3d8c6ffd13dd3211ec9406c49
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 ...
https://dl.acm.org/doi/10.1007/BFb0026683
T. Joachims. A probabilistic analysis of the rocchio algorithm with tfidf for text categorization. In International Conference on Machine Learning (ICML), 1997. Google Scholar; T. Joachims. Text categorization with support vector machines: Learning with many relevant features. Technical Report 23, Universität Dortmund, LS VIII, 1997. Google ...
https://www.researchgate.net/publication/28351286_Text_Categorization_with_Support_Vector_Machines
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...Author: Thorsten Joachims
http://www.ist.temple.edu/~vucetic/cis525spring2004/meghneel.ppt
Text Categorization With Support Vector Machines: Learning With Many Relevant Features By Thornsten Joachims Presented By Meghneel Gore Goal of Text Categorization Classify documents into a number of pre-defined categories.
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