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Paper Abstract and Keywords
Presentation 2007-12-14 14:00
Consideration about the Effectiveness of the Emotion Dictionary for Extracting Opinions from News Articles
Mizuho Shinomiya, Kenichi Mishina, Seiji Tsuchiya, Fuji Ren (Tokushima Univ) TL2007-47
Abstract (in Japanese) (See Japanese page) 
(in English) Opinions are included a lot of news articles such as editorial articles.
This kind of information is important for us.
We pay attention to the emotion expressions which could be used to express opinins.
Then we do a investigation on the effectiveness of opinion extraction from news articles using emotion words.
The articles employed are editorial articles from plural news companies and news on the result of professional baseball games.
Opinions are limited among "positive" and "negative" and "neutral".
We compared the precision of opinion extraction between the result using emotion word dictionary and the result using a word dictionary
which based on counting the frequency of positive and negative words.
On the news of professional baseball games the emotional dictionary method got a precision of 71\%, but on the editorial articles, the
result is only 36\%.
Which is weaker than the result of the frequencymethod.
We also studied the effective part of speech for opinion extraction from news articles.
Keyword (in Japanese) (See Japanese page) 
(in English) Extracting opinions / Extracting Reputations / Emotion word / News Articles / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 387, TL2007-47, pp. 37-42, Dec. 2007.
Paper # TL2007-47 
Date of Issue 2007-12-07 (TL) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF TL2007-47

Conference Information
Committee TL  
Conference Date 2007-12-14 - 2007-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Thought and knowledge search, etc. 
Paper Information
Registration To TL 
Conference Code 2007-12-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Consideration about the Effectiveness of the Emotion Dictionary for Extracting Opinions from News Articles 
Sub Title (in English)  
Keyword(1) Extracting opinions  
Keyword(2) Extracting Reputations  
Keyword(3) Emotion word  
Keyword(4) News Articles  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Mizuho Shinomiya  
1st Author's Affiliation The University of Tokushima (Tokushima Univ)
2nd Author's Name Kenichi Mishina  
2nd Author's Affiliation The University of Tokushima (Tokushima Univ)
3rd Author's Name Seiji Tsuchiya  
3rd Author's Affiliation The University of Tokushima (Tokushima Univ)
4th Author's Name Fuji Ren  
4th Author's Affiliation The University of Tokushima (Tokushima Univ)
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Speaker Author-1 
Date Time 2007-12-14 14:00:00 
Presentation Time 30 minutes 
Registration for TL 
Paper # TL2007-47 
Volume (vol) vol.107 
Number (no) no.387 
Page pp.37-42 
#Pages 6 
Date of Issue 2007-12-07 (TL) 

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