A Web text mining approach based on self-organizing map

Lee, Chung-Hong; Yang, Hsin-Chang

doi:10.1145/319759.319789

Cited by 27 publications

(14 citation statements)

References 5 publications

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“…This is particularly important when an increasing availability of digital documents in various languages has enabled the web documents to be accessed by many internet users (Lee & Yang 2003). To cross language boundaries between different languages, dictionaries are the most typical tools.…”

Section: Related Research On Arabic and English Translationsmentioning

confidence: 99%

“…Corpusbased approaches, which do not have the limitation of dictionaries, provide a statistical translation model to cross the language boundary. Parallel corpora form the basis of much multilingual research in natural language processing (Lee & Yang 2003). There are different approaches for finding similar sentences across multiple languages.…”

Section: Related Research On Arabic and English Translationsmentioning

confidence: 99%

See 1 more Smart Citation

Tracking English and Translated Arabic News using GHSOM

Selamat¹,

Hassen²

2010

Self-Organizing Maps

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Section: Related Research On Arabic and English Translationsmentioning

confidence: 99%

Section: Related Research On Arabic and English Translationsmentioning

confidence: 99%

Tracking English and Translated Arabic News using GHSOM

Selamat¹,

Hassen²

2010

Self-Organizing Maps

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“…Self-organising maps have been successfully applied to enhance information retrieval [12][13][14][15]. In such applications, self-organizing maps are used to automatically generate an alternative visual interface for term-based searching.…”

Section: Self-organizing Topic-oriented Multilingual Text Categorizationmentioning

confidence: 99%

Filtering multilingual Web content using fuzzy logic and self-organizing maps

Chau

Yeh

2004

Neural Comput & Applic

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Effective multilingual information filtering is required to alleviate users' burden of information overload resulting from the increasing flood of multilingual textual content available extensively over the World-Wide Web. This paper proposes a content-based self-organizing approach to multilingual information filtering using fuzzy logic and the self-organizing map. This approach screens and evaluates multilingual documents based on their semantic contents. Correlated multilingual documents are disseminated according to their corresponding themes or topics, thus enabling language-independent contentbased information access efficiently and effectively. A Web-based multilingual online news-filtering system is developed to illustrate how the approach works.

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“…In recent years, the SOM was widely used for text document clustering and categorization [9][10][11][12][13][14][15][16]. Text categorization concerns of classifying documents into some categories according to their contents, characteristics, and properties.…”

Section: Introductionmentioning

confidence: 99%