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A Fuzzy Similarity-Based Approach for Multi-label Document Classification

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4 Author(s)
Shian-Chi Tsai ; Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan ; Jung-Yi Jiang ; ChunDer Wu ; Shie-Jue Lee

Multi-label document classification concerns the determination of categories in the situation where one document may belong to more than one category. In this paper we propose a fuzzy similarity-based approach for multi-label document classification. For a test document, the scores of its relevance to the classes are calculated based on a modified fuzzy similarity measure. The test document is then decided to belong to every class whose score passes a threshold. To make the system adaptive, we provide a heuristic approach to find a score threshold automatically for each class. Experimental results show that our proposed method is more effective and efficient than other existing methods.

Published in:

Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on  (Volume:2 )

Date of Conference:

28-30 Oct. 2009

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