The Community for Technology Leaders
Computer and Information Technology, International Conference on (2010)
Bradford, West Yorkshire, UK
June 29, 2010 to July 1, 2010
ISBN: 978-0-7695-4108-2
pp: 698-702
ABSTRACT
In the past decade the massive growth of the Internet brought huge changes in the way humans live their daily life; however, the biggest concern with rapid growth of digital information is how to efficiently manage and filter unwanted data. In this paper, we propose a method for managing RSS feeds from various news websites. A Web service was developed to provide filtered news items extracted from RSS feeds and these were categorized based on classical text categorization algorithms. A client application consuming this Web service retrieves and displays such filtered information. A prototype was implemented using Rapidminer 4.3 as a data mining tool and SVM as a classification algorithm. Experimental results suggest that the proposed method is effective and saves a significant amount of user processing time.
INDEX TERMS
text classification, text categorization, web services, Support Vector Machines (SVM), Really Simple Syndication (RSS)
CITATION
Ying Zhao, Atul Sajjanhar, Shang Gao, Robert Dew, Subrata Saha, "Delivering Categorized News Items Using RSS Feeds and Web Services", Computer and Information Technology, International Conference on, vol. 00, no. , pp. 698-702, 2010, doi:10.1109/CIT.2010.136
82 ms
(Ver 3.3 (11022016))