Title
Text Categorization for Internet Content Filtering
Abstract
Text Filtering is one of the most challenging and useful tasks in the Multilingual Information Access eld. In a number of ltering 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 specically concerned with the role of Automated Text Categorization in these applications, and how the task is approa- ched 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.
Year
Venue
Keywords
2004
Inteligencia Artificial,revista Iberoamericana De Inteligencia Artificial
cross-lingual information retrieval,text categorization,text filtering
DocType
Citations 
PageRank 
Journal
0
0.34
References 
Authors
10
3