| Presentation | 2013-09-12 An approach for extracting concerned area of Twitter users by category information in Wikipedia Yinjun HU, Yasuo TANIDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, Twitter becomes widely spread and owns a large number of users what attracts much attention for text mining research. In this paper, we propose a method of extracting concerned area of Twitter user using category information from Wikipedia. Twitter is a huge information repository, however, there is much word-sense ambiguation in Twitter data. Our approach is using the disambiguation pages of Wikipedia to do the word-sense disambiguation for the Twitter data. Finally, we categorized the disambiguated Twitter data by Wikipedia category information and treated the categorized data as the concerned area of the Twitter user. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Tweets / Concerned Area / Text mining / Wikipedia / Category |
| Paper # | NLC2013-17 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2013/9/5(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) | An approach for extracting concerned area of Twitter users by category information in Wikipedia |
| Sub Title (in English) | |
| Keyword(1) | Tweets |
| Keyword(2) | Concerned Area |
| Keyword(3) | Text mining |
| Keyword(4) | Wikipedia |
| Keyword(5) | Category |
| 1st Author's Name | Yinjun HU |
| 1st Author's Affiliation | Synergy Marketing, Inc.() |
| 2nd Author's Name | Yasuo TANIDA |
| 2nd Author's Affiliation | Synergy Marketing, Inc. |
| Date | 2013-09-12 |
| Paper # | NLC2013-17 |
| Volume (vol) | vol.113 |
| Number (no) | 213 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |