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Delivering categorized news items using RSS feeds and web services

conference contribution
posted on 2010-01-01, 00:00 authored by S Saha, Atul SajjanharAtul Sajjanhar, Shang GaoShang Gao, Robert Dew, Y Zhao
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.

History

Event

International Conference on Computer and Information Technology (10th : 2010 : Bradford, England)

Pagination

698 - 702

Publisher

IEEE Computer Society

Location

Bradford, England

Place of publication

Los Alamitos, Calif.

Start date

2010-06-29

End date

2010-07-01

ISBN-13

9780769541082

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1 Full written paper - refereed

Copyright notice

2010, IEEE

Title of proceedings

CIT 2010 : 10th IEEE International Conference on Computer and Information Technology Proceedings

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