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Proposal of M2VSM and Its Comparison with Conventional VSM
https://ipsj.ixsq.nii.ac.jp/records/50262
https://ipsj.ixsq.nii.ac.jp/records/502625d4c64bb-af02-42d2-a96e-146a64154867
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-ICS04138001.pdf (464.2 kB)
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Copyright (c) 2004 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
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| 公開日 | 2004-12-04 | |||||||
| タイトル | ||||||||
| タイトル | Proposal of M2VSM and Its Comparison with Conventional VSM | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Proposal of M2VSM and Its Comparison with Conventional VSM | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| Tokyo Metropolitan Institue of Technology | ||||||||
| 著者所属 | ||||||||
| Tokyo Metropolitan Institue of Technology | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Tokyo Metropolitan Institue of Technology | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Tokyo Metropolitan Institue of Technology | ||||||||
| 著者名 |
TORU, ISHIBASHI
× TORU, ISHIBASHI
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| 著者名(英) |
Toru, Ishibashi
× Toru, Ishibashi
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Information retrieval based on Vector Space Model (VSM only employs typical indexing terms contained in documents. For that reason when we apply it to a specific field such as medecine it can crowd the documents in the vector space which makes it difficult to retrieve and cluster them. In this paper modified VSM based on meta keywords such as adjustives and adverbs which is called M2VSM (Meta keyword-based Modified VSM) is proposed for separating the crowded documents using meta keywords as additional value of indexing terms. Experimental results by applying M2VSM to Medline (medical literature database) show that it can separate documents crowded in the vector space. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Information retrieval based on Vector Space Model (VSM only employs typical indexing terms contained in documents. For that reason, when we apply it to a specific field such as medecine, it can crowd the documents in the vector space, which makes it difficult to retrieve and cluster them. In this paper, modified VSM based on meta keywords such as adjustives and adverbs, which is called M2VSM (Meta keyword-based Modified VSM), is proposed for separating the crowded documents using meta keywords as additional value of indexing terms. Experimental results by applying M2VSM to Medline (medical literature database) show that it can separate documents crowded in the vector space. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA11135936 | |||||||
| 書誌情報 |
情報処理学会研究報告知能と複雑系（ICS） 巻 2004, 号 125(2004-ICS-138), p. 1-6, 発行日 2004-12-04 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
