Abstract
Compared with the text information text, hypertext information such as hyperlinks and meta data all provide rich information for classifying hypertext documents. After analyzing different rules of using hypertext, we present a new hypertext classification algorithm based on co-weighting multi-information. We co-operate different hypertext information generally, by co-weighting them after extraction. Experimental results on two different data sets show that the new algorithm performs better than using single hypertext information individually.
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© 2004 Springer-Verlag Berlin Heidelberg
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Peng, Y., Lin, Yp., Chen, Zp. (2004). Hypertext Classification Algorithm Based on Co-weighting Multi-information. In: Li, Q., Wang, G., Feng, L. (eds) Advances in Web-Age Information Management. WAIM 2004. Lecture Notes in Computer Science, vol 3129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27772-9_72
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DOI: https://doi.org/10.1007/978-3-540-27772-9_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22418-1
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