Formal concept analysis and document clustering via granular computing

Tsau Young Lin; I-Jen Chiang

doi:10.1109/ICSMC.2006.385058

Formal concept analysis and document clustering via granular computing

Tsau Young Lin, I-Jen Chiang

研究成果: 書貢獻/報告類型 › 會議貢獻

摘要

A text/web document is a knowledge representation of a human idea (a structured set of thoughts). This paper refines TFIDF and Extended TFIDF(ETFIDF)[16]; These values really measures the co-occurrences of tokens. The ETFID captures the semantic more accurately. Tokens with high TFIDF values are called Keywords. The sets of (n+1) Co-occurring keywords with High ETFIDF are called n-granules. The collection of keywords and n-granules can be interpreted geometrically; they form a non-closed simplicial complex. The corresponding non-closed polyhedron is called Latent Semantic Space(LSS). LSS is a geometric knowledge base that provides the semantic to search engine:

原文	英語
主出版物標題	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
頁面	4763-4767
頁數	5
卷	6
DOIs	https://doi.org/10.1109/ICSMC.2006.385058
出版狀態	已發佈 - 2007
事件	2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, 臺灣持續時間: 10月 8 2006 → 10月 11 2006

其他

其他	2006 IEEE International Conference on Systems, Man and Cybernetics
國家/地區	臺灣
城市	Taipei
期間	10/8/06 → 10/11/06

ASJC Scopus subject areas

工程 (全部)

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10.1109/ICSMC.2006.385058

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引用此

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title = "Formal concept analysis and document clustering via granular computing",

abstract = "A text/web document is a knowledge representation of a human idea (a structured set of thoughts). This paper refines TFIDF and Extended TFIDF(ETFIDF)[16]; These values really measures the co-occurrences of tokens. The ETFID captures the semantic more accurately. Tokens with high TFIDF values are called Keywords. The sets of (n+1) Co-occurring keywords with High ETFIDF are called n-granules. The collection of keywords and n-granules can be interpreted geometrically; they form a non-closed simplicial complex. The corresponding non-closed polyhedron is called Latent Semantic Space(LSS). LSS is a geometric knowledge base that provides the semantic to search engine:",

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AB - A text/web document is a knowledge representation of a human idea (a structured set of thoughts). This paper refines TFIDF and Extended TFIDF(ETFIDF)[16]; These values really measures the co-occurrences of tokens. The ETFID captures the semantic more accurately. Tokens with high TFIDF values are called Keywords. The sets of (n+1) Co-occurring keywords with High ETFIDF are called n-granules. The collection of keywords and n-granules can be interpreted geometrically; they form a non-closed simplicial complex. The corresponding non-closed polyhedron is called Latent Semantic Space(LSS). LSS is a geometric knowledge base that provides the semantic to search engine:

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SN - 1424401003

SN - 9781424401000

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BT - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

T2 - 2006 IEEE International Conference on Systems, Man and Cybernetics

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Formal concept analysis and document clustering via granular computing

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