2003 ExplainingTextClustResultsUsingSemanticStruct

• (Hotho et al., 2003c) ⇒ Andreas Hotho, Steffen Staab, Gerd Stumme. (2003). “Explaining Text Clustering Results Using Semantic Structures.” In: Proceedings of the 7th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2003). doi:10.1007/978-3-540-39804-2_21

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Abstract

• Common text clustering techniques offer rather poor capabilities for explaining to their users why a particular result has been achieved. They have the disadvantage that they do not relate semantically nearby terms and that they cannot explain how resulting clusters are related to each other. In this paper, we discuss a way of integrating a large thesaurus and the computation of lattices of resulting clusters into common text clustering in order to overcome these two problems. As its major result, our approach achieves an explanation using an appropriate level of granularity at the concept level as well as an appropriate size and complexity of the explaining lattice of resulting clusters.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 ExplainingTextClustResultsUsingSemanticStruct	Steffen Staab Andreas Hotho Gerd Stumme			Explaining Text Clustering Results Using Semantic Structures		Proceedings of the 7th European Conference on Principles of Data Mining and Knowledge Discovery	http://www.springerlink.com/content/ykqbr81p0xmedm37/	10.1007/978-3-540-39804-2_21		2003