On Knowledgeable Unsupervised Text Mining
Text Mining is about discovering novel, interesting and usefil patterns from textual data. In this paper we discuss several means that introduce background knowledge into unsupervised text mining in order to improve the novelty, the interestingness or the usefulness of the detected patterns. Germane to the different proposals is that they strive for higher abstractions that carry more explanatory power and more possibilities for exploring the input texts that is achievable by unknowledgeable means.
Andreas Hotho, Alexander Mädche, Steffen Staab and Valentin Zacharias: Text Mining Workshop Proceedings, Springer, 2002
The entire paper is here.
Labels: publication, SemanticWeb
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