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Published in:
2011 | OriginalPaper | Chapter
Enhancing Automatic Blog Classification Using Concept-Category Vectorization
Authors : Ramesh Kumar Ayyasamy, Saadat M. Alhashmi, Siew Eu-Gene, Bashar Tahayna
Published in: Knowledge Engineering and Management
Publisher: Springer Berlin Heidelberg
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Blogging has gained popularity in recent years. Blog, a user generated content is a rich source of information and many research are conducted in finding ways to classify blogs. In this paper, we present the solution for automatic blog classification through our new framework using Wikipedia’s category system. Our framework consists of two stages: The first stage is to find the meaningful terms from blogposts to a unique concept as well as disambiguate the terms belonging to more than one concept. The second stage is to determine the categories to which these found concepts appertain. Our
Wikipedia based blog classification
framework categorizes blog into topic based content for blog directories to perform future browsing and retrieval. Experimental results confirm that proposed framework categorizes blogposts effectively and efficiently.