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https://link.springer.com/chapter/10.1007%2FBFb0026683
Jun 16, 2005 · 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.Cited by: 10558
https://link.springer.com/content/pdf/10.1007%2FBFb0026683.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-Cited by: 10558
http://www.cs.cornell.edu/people/tj/publications/joachims_98a.pdf
tional text classi cation metho ds SVMs will pro etobe v ery robust, eliminating the need for exp ensiv e parameter tuning. 2 T ext Categorization The goal of text categorization is the classi cation of do cumen ts in to a xed n um b er of prede ned categories. Eac h do cumen t can b e in m ultiple, exactly one, or no category at all. Using mac
https://dl.acm.org/doi/10.1007/BFb0026683
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.
https://www.researchgate.net/publication/221183673_Support_Vector_Machines_for_Text_Categorization
Support Vector Machines for Text Categorization. ... Linear Support Vector Machines (SVMs) are particularly promising because they are very accurate, quick to train, and quick to evaluate.
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.
https://www.academia.edu/25813855/Support_vector_machines_for_text_categorization
Text categorization is the process of sorting text documents into one or more predefined categories or classes of similar documents. Differences in the results of such categorization arise from the feature set chosen to base the association of a
https://dl.acm.org/citation.cfm?id=821531
Text categorization is the process of sorting text documents into one or more predefined categories or classes of similar documents. Differences in the results of such categorization arise from the feature set chosen to base the association of a given document with a givencategory.Cited by: 168
https://nlp.stanford.edu/IR-book/html/htmledition/support-vector-machines-and-machine-learning-on-documents-1.html
Support vector machines: The Up: irbook Previous: Exercises Contents Index Support vector machines and machine learning on documents Improving classifier effectiveness has been an area of intensive machine-learning research over the last two decades, and this work has led to a new generation of state-of-the-art classifiers, such as support vector machines, boosted decision trees, regularized ...
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