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Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
pp: 293-296
ABSTRACT
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, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 293-296, doi:10.1109/WI-IAT.2011.150
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