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Visual features in genre classification of html

Published: 10 September 2007 Publication History

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

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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.
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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.

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Published In

cover image ACM Conferences
HT '07: Proceedings of the eighteenth conference on Hypertext and hypermedia
September 2007
240 pages
ISBN:9781595938206
DOI:10.1145/1286240
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2007

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Author Tags

  1. HTML
  2. genre classification
  3. visual features

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HT07
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HT07: 18th Conference on Hypertext and Hypermedia
September 10 - 12, 2007
Manchester, UK

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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