| Project/Area Number |
13680535
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
社会システム工学
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| Research Institution | Musashi Institute of Technology |
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Principal Investigator |
KANEKO Takeshi Musashi Institute of Technology, Faculty of Engineering, Lecturer, 工学部, 講師 (30233878)
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| Project Period (FY) |
2001 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,000,000 (Direct Cost: ¥3,000,000)
Fiscal Year 2002: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 2001: ¥1,400,000 (Direct Cost: ¥1,400,000)
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| Keywords | Knowledge Base / Multi Dimensional Scaling / Correspondence Analysis / Document Retrieval / Document Clustering / テキストデータ / 情報検索 / 概念空間 / クラスター分析 / 自己組織化マップ / 意味空間 |
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| Research Abstract |
This research proposed the method ;
1 constructing knowledge base which contain the information about relationship between words,
2 retrieving distance information from the above knowledge base according to user view,
3 document clustering based on the above distance information.
Features of this method is ;
1 Knowledge base is constructed by correspondence analysis that uses the frequency of words.
2 Assessment of documents similarity is calculated on projection space by "view vector".
The keywords user inputted estimates view vector.
This method constructs good document clusters in some experiments. However, we can not constructs good document clusters when additional keywords are specified. When additional keywords are specified, re-build knowledge base gives preferable results.
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