Building topic hierarchy based on fuzzy relations

Han Joon Kim; Sang Goo Lee

doi:10.1016/S0925-2312(02)00726-9

Building topic hierarchy based on fuzzy relations

Han Joon Kim, Sang Goo Lee

School of Electrical and Computer Engineering

Seoul National University

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	481-486
Number of pages	6
Journal	Neurocomputing
Volume	51
DOIs	https://doi.org/10.1016/S0925-2312(02)00726-9
State	Published - Apr 2003

Keywords

Fuzzy relations
Information organization
Term subsumption
Topic hierarchy

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10.1016/S0925-2312(02)00726-9

Cite this

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abstract = "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.",

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AB - 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.

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KW - Term subsumption

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Building topic hierarchy based on fuzzy relations

Abstract

Keywords

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