| Presentation | 2011-10-10 Analysis of Bankruptcy Information using Clue Words Sachio HIROKAWA, Tetsuya NAKATOH, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The extraction of the feature words from the search results is an important problem of the document interpretation and summarization. Those documents are determined by the users with the keywords according to their purpose of the analysis. This paper proposes a method to guess the reason and feature words for the target companies of the analysis, which can be specified as the type of business or the reason. The method pays attention to the clue words describing the bankruptcy situation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Feature Words / Bankrupty Information / Text Mining |
| Paper # | TL2011-26,NLC2011-23 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2011/10/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of Bankruptcy Information using Clue Words |
| Sub Title (in English) | |
| Keyword(1) | Feature Words |
| Keyword(2) | Bankrupty Information |
| Keyword(3) | Text Mining |
| 1st Author's Name | Sachio HIROKAWA |
| 1st Author's Affiliation | Research Institute for Information Technology, Kyushu University() |
| 2nd Author's Name | Tetsuya NAKATOH |
| 2nd Author's Affiliation | Research Institute for Information Technology, Kyushu University |
| Date | 2011-10-10 |
| Paper # | TL2011-26,NLC2011-23 |
| Volume (vol) | vol.111 |
| Number (no) | 228 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |