Presentation | 2013-11-29 Communication Extraction from Bulletin Board System Haruhi SATONAKA, Wataru SUNAYAMA, Kazunori NISHIMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, it is natural that we communicate with bulletin board systems (BBS) on the Internet. Though bulletin board systems are easily used for many purposes such as information collection, opinion exchange and discussion, those tend to include unnecessary comments. // In this study, a framework to identify comments related to the topic of a thread (a set of comments in a BBS) as communication is proposed. According to experimental results, it was confirmed that a system based on the proposed framework could extract topical comments representing communication. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | bulletin board system / effective comments extraction / communication extraction |
Paper # | AI2013-34 |
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Committee | AI |
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Conference Date | 2013/11/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Communication Extraction from Bulletin Board System |
Sub Title (in English) | |
Keyword(1) | bulletin board system |
Keyword(2) | effective comments extraction |
Keyword(3) | communication extraction |
1st Author's Name | Haruhi SATONAKA |
1st Author's Affiliation | Hiroshima City University() |
2nd Author's Name | Wataru SUNAYAMA |
2nd Author's Affiliation | Hiroshima City University |
3rd Author's Name | Kazunori NISHIMURA |
3rd Author's Affiliation | Hiroshima Institute of Technology |
Date | 2013-11-29 |
Paper # | AI2013-34 |
Volume (vol) | vol.113 |
Number (no) | 332 |
Page | pp.pp.- |
#Pages | 6 |
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