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Paper Abstract and Keywords
Presentation 2007-01-23 14:45
P/N Classification for Reputation Extraction from BBS
Keisuke Takeuchi, Akira Urashima, Minoru Hatada, Shoryu Ataka (Toyama Pref.Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper reports on the P/N classification system for the documents that include reputation information. The P/N classification system divides documents into positive and negative ones. We employ 3 words (adjective or adjective noun, noun prior them and posterior negative expression “nai”) dictionary while past study employ one word (adjective or adjective noun) dictionary. The dictionary entries has own score calculated by Training data and P/N Classification is derived from them. The result of the experiment was that the success rate was 78.5% in past study and 87.5% in our study.
Keyword (in Japanese) (See Japanese page) 
(in English) Reputation extraction / Text mining / Document classification / Scoring / / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 473, KBSE2006-64, pp. 55-60, Jan. 2007.
Paper # KBSE2006-64 
Date of Issue 2007-01-16 (KBSE) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee KBSE JSAI-KBS  
Conference Date 2007-01-22 - 2007-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) KEIO UNIVERSITY 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2007-01-KBSE-JSAI-KBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) P/N Classification for Reputation Extraction from BBS 
Sub Title (in English)  
Keyword(1) Reputation extraction  
Keyword(2) Text mining  
Keyword(3) Document classification  
Keyword(4) Scoring  
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1st Author's Name Keisuke Takeuchi  
1st Author's Affiliation Toyama Prefectural University (Toyama Pref.Univ.)
2nd Author's Name Akira Urashima  
2nd Author's Affiliation Toyama Prefectural University (Toyama Pref.Univ.)
3rd Author's Name Minoru Hatada  
3rd Author's Affiliation Toyama Prefectural University (Toyama Pref.Univ.)
4th Author's Name Shoryu Ataka  
4th Author's Affiliation Toyama Prefectural University (Toyama Pref.Univ.)
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Speaker Author-1 
Date Time 2007-01-23 14:45:00 
Presentation Time 30 minutes 
Registration for KBSE 
Paper # KBSE2006-64 
Volume (vol) vol.106 
Number (no) no.473 
Page pp.55-60 
#Pages
Date of Issue 2007-01-16 (KBSE) 


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