Delivering categorized news items using RSS feeds and web services Saha, Subrata, Sajjanhar, Atul, Gao, Shang, Dew, Robert and Zhao, Ying 2010, Delivering categorized news items using RSS feeds and web services, in CIT 2010 : 10th IEEE International Conference on Computer and Information Technology Proceedings, IEEE Computer Society, Los Alamitos, Calif., pp. 698-702, doi: 10.1109/CIT.2010.136. Attached Files Name Description MIMEType Size Downloads sajjanhar-deliveringcategorized-2010.pdf Published version application/pdf 702.38KB 602 Title Delivering categorized news items using RSS feeds and web services Author(s) Saha, Subrata Sajjanhar, Atul orcid.org/0000-0002-0445-0573 Gao, Shang orcid.org/0000-0002-2947-7780 Dew, Robert orcid.org/0000-0001-7752-162X Zhao, Ying Conference name International Conference on Computer and Information Technology (10th : 2010 : Bradford, England) Conference location Bradford, England Conference dates 29 Jun.-1 Jul. 2010 Title of proceedings CIT 2010 : 10th IEEE International Conference on Computer and Information Technology Proceedings Editor(s) [Unknown] Publication date 2010 Conference series IEEE International Conference on Computer and Information Technology Start page 698 End page 702 Total pages 5 Publisher IEEE Computer Society Place of publication Los Alamitos, Calif. Keyword(s) keywords-text classification text categorization web services Support Vector Machines (SVM) Really Simple Syndication (RSS) Summary 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. 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. ISBN 9780769541082 Language eng DOI 10.1109/CIT.2010.136 Field of Research 080505 Web Technologies (excl Web Search) Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services HERDC Research category E1 Full written paper - refereed HERDC collection year 2010 Copyright notice ©2010, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30031989 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (Restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 15 Dec 2010, 16:30:38 EST Wed, 15 Dec 2010, 16:33:05 EST Fri, 17 Dec 2010, 10:53:52 EST Fri, 17 Dec 2010, 10:55:48 EST Fri, 07 Jan 2011, 13:17:38 EST Thu, 20 Jan 2011, 13:04:58 EST Tue, 01 Feb 2011, 16:06:47 EST Thu, 03 Feb 2011, 10:38:32 EST Thu, 03 Feb 2011, 10:40:25 EST Thu, 03 Feb 2011, 10:40:57 EST Thu, 03 Feb 2011, 10:44:10 EST Thu, 03 Feb 2011, 10:45:14 EST Thu, 03 Feb 2011, 10:47:27 EST Wed, 18 May 2011, 14:56:10 EST Fri, 16 Mar 2012, 18:27:50 EST Mon, 15 Sep 2014, 14:56:37 EST Fri, 17 Oct 2014, 10:34:41 EST Wed, 21 Oct 2015, 13:53:13 EST Tue, 06 Sep 2016, 16:13:51 EST Tue, 05 Dec 2017, 10:45:36 EST Fri, 07 Sep 2018, 15:12:52 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 1091 Abstract Views, 609 File Downloads  -  Detailed Statistics Created: Wed, 15 Dec 2010, 16:30:32 EST by Sandra Dunoon