Explaining Text Clustering Results Using Semantic Structures

  title={Explaining Text Clustering Results Using Semantic Structures},
  author={Andreas Hotho and Steffen Staab and Gerd Stumme},
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… CONTINUE READING

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