Presentation | 2003/9/7 Key Term Extraction and Visualization for Knowledge Chain Discovery Support : Visual function of TermLinker system Konomu DOBASHI, Hiroyuki YAMAUCHI, Ryuki TACHIBANA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents a method of extracting key terms to visualize the knowledge chain from text corpus. The TermLinker system has developed to extracting cooccurrence relation of key terms from document sentences. The system generates to visualize the knowledge chain using extracted cooccurrence relation of key terms. Proposed method creates partial knowledge hierarchy automatically by concept network. The purpose of the system is to visualize the cooccurrence relationships and help users to understand the relationships of key terms in documents. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Text Mining / Key term / Visualization |
Paper # | AI2003-38 |
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Committee | AI |
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Conference Date | 2003/9/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Key Term Extraction and Visualization for Knowledge Chain Discovery Support : Visual function of TermLinker system |
Sub Title (in English) | |
Keyword(1) | Text Mining |
Keyword(2) | Key term |
Keyword(3) | Visualization |
1st Author's Name | Konomu DOBASHI |
1st Author's Affiliation | Faculty of Modern Chinese Studies, Aichi University() |
2nd Author's Name | Hiroyuki YAMAUCHI |
2nd Author's Affiliation | Maebashi Institute of Technology |
3rd Author's Name | Ryuki TACHIBANA |
3rd Author's Affiliation | IBM Research, Tokyo Research Laboratory |
Date | 2003/9/7 |
Paper # | AI2003-38 |
Volume (vol) | vol.103 |
Number (no) | 304 |
Page | pp.pp.- |
#Pages | 6 |
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