Automatic Multi-label Subject Indexing in a Multilingual Environment (2003) [1 citations — 0 self]
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http://www.aifb.uni-karlsruhe.de/WBS/aho/pub/lause
http://www.ifs.tuwien.ac.at/~andi/teaching/ps_gwa/
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http://www.aifb.uni-karlsruhe.de/WBS/aho/pub/lause
http://www.ifs.tuwien.ac.at/~andi/teaching/ps_gwa/
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by
Boris Lauser
,
Andreas Hotho
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Abstract:
This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines (SVM). The aim was to test the applicability of SVMs with a real world dataset.

