Text categorization for internet content filtering Report as inadecuate




Text categorization for internet content filtering - Download this document for free, or read online. Document in PDF available to download.

Ignacio Giráldez ; Manuel de Buenaga ;Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial 2004, 8 (22)

Author: José M. Gómez

Source: http://www.redalyc.org/


Teaser



Inteligencia Artificial.
Revista Iberoamericana de Inteligencia Artificial ISSN: 1137-3601 revista@aepia.org Asociación Española para la Inteligencia Artificial España Gómez, José M.; Giráldez, Ignacio; de Buenaga, Manuel Text Categorization for Internet Content Filtering Inteligencia Artificial.
Revista Iberoamericana de Inteligencia Artificial, vol.
8, núm.
22, primavera, 2004, pp.
147-160 Asociación Española para la Inteligencia Artificial Valencia, España Available in: http:--www.redalyc.org-articulo.oa?id=92582211 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Text Categorization for Internet Content Filtering* José M.
Gómez, Ignacio Giráldez, Manuel de Buenaga Universidad Europea de Madrid Villaviciosa de Odón, 28670 Madrid, Spain jmgomez,giraldez,buenaga@uem.es Abstract Text Filtering is one of the most challenging and useful tasks in the Multilingual Information Access field.
In a number of filtering applications, Automated Text Categorization of documents plays a key role.
In this paper, we present two of that applications (Hermes and POESIA), focused on personalized news delivery and Internet inappropriate content blocking, respectively.
We are specifically concerned with the role of Automated Text Categorization in these applications, and how the task is approached in a multilingual environment.
Apart from the details of the methods employed in our work, we envisage new solutions for a more complex task we have called Cross-Lingual Text Categorization. Keywords: Text Filtering, Text Categorization, Cross-Lingual Information Retrieval 1. Introduction Information Access is increasingly seen as an Information Society driving force.
Information Access provides a lot of new opportunities but also gener...





Related documents