| Presentation | 2011-07-07 Detecting potential issues based on typical problem description Takuma MURAKAMI, Tetsuya NASUKAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | One of typical goals of text mining is to detect potential problems from a document set of natural language. This paper discusses a method to find the significant nouns and verbs to be analyzed in a given document set. This method starts from adverbs unique to problem descriptions and follows the relationships between words to detect the nouns and verbs that describe the actual problems. This method does not depend on the domain or the language of the document set and constructs a useful set of words for the effective text mining of the given document set. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Text Mining / Trouble identification / Lexicon creation |
| Paper # | NLC2011-7 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2011/6/30(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) | Detecting potential issues based on typical problem description |
| Sub Title (in English) | |
| Keyword(1) | Text Mining |
| Keyword(2) | Trouble identification |
| Keyword(3) | Lexicon creation |
| 1st Author's Name | Takuma MURAKAMI |
| 1st Author's Affiliation | IBM Japan Yamato Software Development Laboratory() |
| 2nd Author's Name | Tetsuya NASUKAWA |
| 2nd Author's Affiliation | IBM Research-Tokyo |
| Date | 2011-07-07 |
| Paper # | NLC2011-7 |
| Volume (vol) | vol.111 |
| Number (no) | 119 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |