Building topic hierarchy based on fuzzy relations
In this paper, we present a novel method for automatically building hierarchical topic structures of large text databases without any complicated linguistic analysis. Hierarchical relationship among categories from textual data can be discovered on the basis of term co-occurrence, which is described by fuzzy relations. Despite its simplicity, results of experiments on well-known document collections such as Yahoo directory data demonstrate the high quality of the resulting hierarchies.
topic hierarchy fuzzy relations information organization term subsumption