TEXT CATEGORIZATION IN AN INTELLIGENT AGENT FOR FILTERING INFORMATION ON THE WEB-Reference-Cited by-同舟云学术

TEXT CATEGORIZATION IN AN INTELLIGENT AGENT FOR FILTERING INFORMATION ON THE WEB

Published:2001-05 Issue:03 Volume:15 Page:527-549
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

GENTILI G. L.¹,MARINILLI M.¹,MICARELLI A.¹,SCIARRONE F.¹

Affiliation:

1. Dipartimento di Informatica e Automazione, Laboratorio di Intelligenza Artificiale, Università degli Studi "Roma Tre", Via della Vasca Navale, 79, 00146, Roma, Italia

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 filtering 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 confidence interval technique. The experimental results obtained are encouraging and support the choice of a hybrid case-based approach to text categorization.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S021800140100099X

Reference12 articles.

1. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

2. Editorial

3. Evaluating and optimizing autonomous text classification systems

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