Application of SVM and ANN for intrusion detection
Computers and Operations Research
Weighted kernel model for text categorization
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Fuzzy Kernel Ridge Regression for Classification
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Augmenting learning function to Bayesian network inferences with maximum likelihood parameters
Expert Systems with Applications: An International Journal
Identifying the Intent of a User Query Using Support Vector Machines
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Automatic identification of discourse moves in scientific article introductions
EANL '08 Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications
Feature reduction techniques for Arabic text categorization
Journal of the American Society for Information Science and Technology
An incremental SVM for intrusion detection based on key feature selection
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Patent classification system using a new hybrid genetic algorithm support vector machine
Applied Soft Computing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
An anti-noise text categorization method based on support vector machines
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
PSI'09 Proceedings of the 7th international Andrei Ershov Memorial conference on Perspectives of Systems Informatics
An empirical study on the feature's type effect on the automatic classification of arabic documents
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Classification of XSLT-Generated web documents with support vector machines
KDXD'06 Proceedings of the First international conference on Knowledge Discovery from XML Documents
Online independent reduced least squares support vector regression
Information Sciences: an International Journal
A new unsupervised feature selection method for text clustering based on genetic algorithms
Journal of Intelligent Information Systems
SR-NBS: A fast sparse representation based N-best class selector for robust phoneme classification
Engineering Applications of Artificial Intelligence
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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. 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 a 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.