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Categorization of Blogs through Similarity Analysis

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2 Author(s)
Hwan-Joon Choi ; Rensselaer Polytech. Inst., Troy ; Krishnamoorthy, M.S.

We describe a new model for evaluating similarities among a large number of web logs, and compare several algorithms using the model. Possible uses of this include isolating and tracking like-minded networks for surveillance and improved categorization. Our model consists of similarity analysis combined with clustering. Experimental results show that our algorithm is able to separate blogs into categories, consistently achieving over 90% success rate.

Published in:

Intelligence and Security Informatics, 2007 IEEE

Date of Conference:

23-24 May 2007

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