A fuzzy similarity-based approach for multi-label document classification

Shian Chi Tsai, Jung-Yi Jiang, Chun Der Wu, Shie Jue Lee

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2nd International Workshop on Computer Science and Engineering, WCSE 2009
頁面59-63
頁數5
DOIs
出版狀態Published - 2009 十二月 1
事件2nd International Workshop on Computer Science and Engineering, WCSE 2009 - Qingdao, China
持續時間: 2009 十月 282009 十月 30

出版系列

名字2nd International Workshop on Computer Science and Engineering, WCSE 2009
2

Conference

Conference2nd International Workshop on Computer Science and Engineering, WCSE 2009
國家/地區China
城市Qingdao
期間09-10-2809-10-30

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)

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