Visual features in genre classification of html
Pages 51 - 52
Abstract
Automatic genre classification historically has focused on extracting textual features from documents. In this research, we investigate whether visual features of HTML documents can improve the classification of fine grained genres. Three different sets of features were compared on a genre classification task in the e-commerce domain - one with just textual features, one with HTML features added, and a third with additional visual features. Our experiments show that adding HTML and visual features provides much better classification than textual features alone.
References
[1]
Boese, E. 2005. Stereotyping the Web: Genre Classification of Web Documents. Masters thesis, Dept. of Computer Science, Colorado State University, Boulder, Colorado.
[2]
Crowston, K. and Williams, M. 1997. Reproduced and emergent genres of communication on the World-Wide Web. In Proceedings of the 30th Hawaii International Conference on System Sciences, 30. Washington, DC: IEEE Computer Society.
[3]
Ha, J., Haralick, R. M., Phillips, I. T. Recursive X-Y cut using bounding boxes of connected components. In Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2), p.952, August 14--15, 1995.
[4]
Kovacevic, M., Diligenti, M., Gori, M. and Milutinovic, V. 2002. Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification. In Proceedings of 2002 IEEE International Conference on Data Mining, 250. Washington, DC: IEEE Computer Society.
[5]
JRex 2007. http://jrex.mozdev.org/.
[6]
Levering, R. and Cutler, M. 2006. The portrait of a common HTML web page. In Proceedings of the 2006 ACM symposium on Document engineering, 198--204. New York, NY:ACM Press.
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Rosso, M. A. 2005. Using Genre to Improve Web Search. Ph.D. diss., School of Information and Library Science, University of North Carolina, Chapel Hill, North Carolina.
Index Terms
- Visual features in genre classification of html
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Information
Published In
September 2007
240 pages
ISBN:9781595938206
DOI:10.1145/1286240
- General Chair:
- Simon Harper,
- Program Chairs:
- Helen Ashman,
- Mark Bernstein,
- Alexandra Cristea,
- Hugh C. Davis,
- Paul De Bra,
- Vicki Hanson,
- Dave Millard
Copyright © 2007 ACM.
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Published: 10 September 2007
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