Building topic hierarchy based on fuzzy relations
نویسندگان
چکیده
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. c © 2002 Elsevier Science B.V. All rights reserved.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 51 شماره
صفحات -
تاریخ انتشار 2003