| Presentation | 2006-07-13 Mining Semi-structure for Text with Dependency Structure Issei SATO, Hiroshi NAKAGAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In text mining, a word frequency is an important element. Moreover,when we extract a relationship between words, it is important to extract dependency structure in a sentence. This paper proposes a semi-structure mining method extracting frequent words with dependency structure in a large number of text data. Our method identifies dependency structure as tree structure whose node is a sequence. In this way, our proposed method can extract patterns which the conventional method can not extract. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Text mining / Semi-structure mining / Dependency structure / PrefixSpan / FREQT |
| Paper # | DE2006-77 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2006/7/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Mining Semi-structure for Text with Dependency Structure |
| Sub Title (in English) | |
| Keyword(1) | Text mining |
| Keyword(2) | Semi-structure mining |
| Keyword(3) | Dependency structure |
| Keyword(4) | PrefixSpan |
| Keyword(5) | FREQT |
| 1st Author's Name | Issei SATO |
| 1st Author's Affiliation | Graduate School of Information Sience and Technology, The University of Tokyo() |
| 2nd Author's Name | Hiroshi NAKAGAWA |
| 2nd Author's Affiliation | Interfaculty Initiative in Information Studies |
| Date | 2006-07-13 |
| Paper # | DE2006-77 |
| Volume (vol) | vol.106 |
| Number (no) | 149 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |