O’Shea, M. and Levene, Mark (2012) visualRSS: a platform to mine and visualise social data from RSS feeds. In: Grossniklaus, M. and Wimmer, M. (eds.) Current Trends in Web Engineering. Lecture Notes in Computer Science 7703. Berlin, Germany: Springer Verlag, pp. 121-133. ISBN 9783642356230.
Abstract
RSS, a popular method of syndicating frequently updated on-line content, allows data to be stored in a semi-structured, XML-based format. Much work has been carried out applying data mining techniques to RSS, but in this paper we propose the visualRSS (vRSS) application as a platform to mine and visualise data trends in RSS feeds, by tracking changes in keyword frequencies as a source of social data. Core components of vRSS’s architecture to manipulate RSS feeds are described. We also present the results of vRSS’s initial experimental usage involving 36 students in late 2011, concerning our research into preferences of mining types and visualisations.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Sarah Hall |
| Date Deposited: | 30 May 2013 16:21 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7142 |
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