This paper presents a text categorization system, capable of analyzing HTML/text documents collected from the Web. The system is a component of a more extensive intelligent agent for adaptive information ltering on the Web. It is based on a hybrid case-based architecture, where two multilayer perceptrons are integrated into a case-based reasoner. An empirical evaluation of the system was performed by means of a con dence interval technique. The experimental results obtained are encouraging and support the choice of a hybrid case-based approach to text categorization.
Text Categorization in an Intelligent Agent for Filtering Information on the Web
Sciarrone F
2001-01-01
Abstract
This paper presents a text categorization system, capable of analyzing HTML/text documents collected from the Web. The system is a component of a more extensive intelligent agent for adaptive information ltering on the Web. It is based on a hybrid case-based architecture, where two multilayer perceptrons are integrated into a case-based reasoner. An empirical evaluation of the system was performed by means of a con dence interval technique. The experimental results obtained are encouraging and support the choice of a hybrid case-based approach to text categorization.File in questo prodotto:
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