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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Slovak Blog Clustering Enhanced by Mining the Web Comments
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
Web environment gives us an opportunity to take broader aspects of textual information into account, for example information about behavior of web users, global web trends or social interactions between users. In this paper we present and evaluate method suitable for enhancing blog clustering using the information hidden in web comments. We found out that blog clusters based on clustering of the commentators differ significantly from the content clusters. But according to the results of our experiments implicit relations between commentators can be used in addition to content clustering and improve the quality of content clusters.
Index Terms:
blog clustering, web mining, web comments processing
Citation:
Tomas Kuzar, Pavol Navrat, "Slovak Blog Clustering Enhanced by Mining the Web Comments," wi-iat, vol. 3, pp.293-296, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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