Presentation | 2011-11-21 Automatic Event Determination Method from Keywords Nao YAMAMOTO, Shin-ya SATO, Toshiharu SUGAWARA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose the technique to determine whether or not a set of keywords expresses the event that actually happened. In recent years studies to extract hot topics and the concerning keywords from chronologically ordered data have been increased. However, it is usually determined manually whether whether or not they express the events that actually happened. However such a human-intensive method is costly and often unfair. Hence we try to propose the suggest technique to automatically determine whether the keywords express the event. Finally we show that the proposed method can accurately determine them approximately 70%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | topic extraction / data mining |
Paper # | AI2011-27 |
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Committee | AI |
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Conference Date | 2011/11/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Automatic Event Determination Method from Keywords |
Sub Title (in English) | |
Keyword(1) | topic extraction |
Keyword(2) | data mining |
1st Author's Name | Nao YAMAMOTO |
1st Author's Affiliation | Department of Computer Science and Engineering, Graduate School of Fundarmental Science and Engineering, Waseda University() |
2nd Author's Name | Shin-ya SATO |
2nd Author's Affiliation | NTT Network Innovation Laboratories |
3rd Author's Name | Toshiharu SUGAWARA |
3rd Author's Affiliation | Department of Computer Science and Engineering, Graduate School of Fundarmental Science and Engineering, Waseda University |
Date | 2011-11-21 |
Paper # | AI2011-27 |
Volume (vol) | vol.111 |
Number (no) | 310 |
Page | pp.pp.- |
#Pages | 5 |
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