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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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:

Original language	English
Title of host publication	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages	4763-4767
Number of pages	5
Volume	6
DOIs	https://doi.org/10.1109/ICSMC.2006.385058
Publication status	Published - 2007
Event	2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan Duration: Oct 8 2006 → Oct 11 2006

Other

Other	2006 IEEE International Conference on Systems, Man and Cybernetics
Country/Territory	Taiwan
City	Taipei
Period	10/8/06 → 10/11/06

Keywords

Granules
Latent semantic space
Simplex

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICSMC.2006.385058

Cite this

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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:",

keywords = "Granules, Latent semantic space, Simplex",

author = "Lin, {Tsau Young} and I-Jen Chiang",

year = "2007",

doi = "10.1109/ICSMC.2006.385058",

language = "English",

isbn = "1424401003",

volume = "6",

pages = "4763--4767",

booktitle = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

note = "2006 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 08-10-2006 Through 11-10-2006",

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AU - Lin, Tsau Young

AU - Chiang, I-Jen

PY - 2007

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N2 - 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:

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:

KW - Granules

KW - Latent semantic space

KW - Simplex

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DO - 10.1109/ICSMC.2006.385058

M3 - Conference contribution

SN - 1424401003

SN - 9781424401000

VL - 6

SP - 4763

EP - 4767

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

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

Y2 - 8 October 2006 through 11 October 2006

ER -

Formal concept analysis and document clustering via granular computing

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Keywords

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