On knowledgeable unsupervised text mining
Andreas Hotho, Alexander Maedche, Steffen Staab, Valentin Zacharias · 2003
Abstract Text Mining is about discovering novel, interesting and useful 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 than is achievable by unknowledgeable means. 1.1