Multilingual text categorisation for global knowledge discovery using fuzzy techniques

R. Chau; Chung Hsing Yeh

doi:10.1109/ICAIS.2002.1048058

Multilingual text categorisation for global knowledge discovery using fuzzy techniques

R. Chau, Chung Hsing Yeh

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Abstract

Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. To achieve this, a concept-based approach towards multilingual text categorisation using fuzzy techniques is proposed. First, a language-independent concept space for representing documents regardless of languages is generated using a fuzzy multilingual keyword clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that categorises multilingual documents by concepts is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a Yahoo-like directory, concept navigation among the whole multilingual document collection is facilitated.

Original language	English
Title of host publication	Proceedings - 2002 IEEE International Conference on Artificial Intelligence Systems, ICAIS 2002
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	82-86
Number of pages	5
ISBN (Electronic)	0769517331, 9780769517339
DOIs	https://doi.org/10.1109/ICAIS.2002.1048058
Publication status	Published - 1 Jan 2002
Event	IEEE International Conference on Artificial Intelligence Systems, ICAIS 2002 - Divnomorskoe, Russian Federation Duration: 5 Sept 2002 → 10 Sept 2002

Conference

Conference	IEEE International Conference on Artificial Intelligence Systems, ICAIS 2002
Country/Territory	Russian Federation
City	Divnomorskoe
Period	5/09/02 → 10/09/02

Access to Document

10.1109/ICAIS.2002.1048058

Cite this

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title = "Multilingual text categorisation for global knowledge discovery using fuzzy techniques",

abstract = "Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. To achieve this, a concept-based approach towards multilingual text categorisation using fuzzy techniques is proposed. First, a language-independent concept space for representing documents regardless of languages is generated using a fuzzy multilingual keyword clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that categorises multilingual documents by concepts is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a Yahoo-like directory, concept navigation among the whole multilingual document collection is facilitated.",

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Chau, R & Yeh, CH 2002, Multilingual text categorisation for global knowledge discovery using fuzzy techniques. in Proceedings - 2002 IEEE International Conference on Artificial Intelligence Systems, ICAIS 2002. IEEE, Institute of Electrical and Electronics Engineers, pp. 82-86, IEEE International Conference on Artificial Intelligence Systems, ICAIS 2002, Divnomorskoe, Russian Federation, 5/09/02. https://doi.org/10.1109/ICAIS.2002.1048058

Multilingual text categorisation for global knowledge discovery using fuzzy techniques. / Chau, R.; Yeh, Chung Hsing.
Proceedings - 2002 IEEE International Conference on Artificial Intelligence Systems, ICAIS 2002. IEEE, Institute of Electrical and Electronics Engineers, 2002. p. 82-86.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. To achieve this, a concept-based approach towards multilingual text categorisation using fuzzy techniques is proposed. First, a language-independent concept space for representing documents regardless of languages is generated using a fuzzy multilingual keyword clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that categorises multilingual documents by concepts is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a Yahoo-like directory, concept navigation among the whole multilingual document collection is facilitated.

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Multilingual text categorisation for global knowledge discovery using fuzzy techniques

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