Proceedings ArticleDOI
Support vector machines for text categorization
Amit Basu,C. Walters,Michael Shepherd +2 more
- Vol. 5, pp 103
TLDR
This paper compares artificial neural network and support vector machine algorithms for use as text classifiers of news items and identifies a reduction in feature set that provides improved results.Abstract:
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 given category. Advocates of text categorization recognize that the sorting of text documents into categories of like documents reduces the overhead required for fast retrieval of such documents and provides smaller domains in which the users may explore similar documents. In this paper we are interested in examining whether automatic classification of news texts can be improved by prefiltering the vocabulary to reduce the feature set used in the computations. First we compare artificial neural network and support vector machine algorithms for use as text classifiers of news items. Secondly, we identify a reduction in feature set that provides improved results.read more
Citations
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Application of SVM and ANN for intrusion detection
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The intention behind web queries
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On Attacking Statistical Spam Filters.
Greg Wittel,Shyhtsun Felix Wu +1 more
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Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea
TL;DR: An effective early-warning prediction method for Chl-a concentration and the eutrophication management scheme for reservoirs is suggested and a 7-day interval was determined as an efficient early warning interval in the two reservoirs.
References
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Journal ArticleDOI
LIBSVM: A library for support vector machines
Chih-Chung Chang,Chih-Jen Lin +1 more
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TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
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A Tutorial on Support Vector Machines for Pattern Recognition
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Book ChapterDOI
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
TL;DR: This paper explores the use of Support Vector Machines for learning text classifiers from examples and analyzes the particular properties of learning with text data and identifies why SVMs are appropriate for this task.