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Paper Abstract and Keywords
Presentation 2016-12-09 10:05
Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports
Yuta Sano, Tsunenori Mine (Kyushu Univ.) AI2016-12
Abstract (in Japanese) (See Japanese page) 
(in English) Government 2.0 activities have become popular. Using the tools, anyone can share reports with other people on the Web. On the other hand, unlike telephone calls, the concreteness of a report depends on its reporter. Thus, the actual status and demand to the status may not be described clearly or either one may be miss-described in the report. To solve the problems, the discovery of incomplete reports and completion of missing information are indispensable. In this paper, we propose methods to automatically distinguish the actual status from the demand to the status. Experimental results show that an average F-score and an average accuracy score our methods achieved were 0.790 and 0.891, respectively. In addition, in our methods, RF achieved better results than SVM for both F-score and accuracy scores.
Keyword (in Japanese) (See Japanese page) 
(in English) dependency relations / empirical patterns / Government 2.0 / machine learning / pattern extraction / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 350, AI2016-12, pp. 1-6, Dec. 2016.
Paper # AI2016-12 
Date of Issue 2016-12-02 (AI) 
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 AI2016-12

Conference Information
Committee AI  
Conference Date 2016-12-09 - 2016-12-09 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2016-12-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports 
Sub Title (in English)  
Keyword(1) dependency relations  
Keyword(2) empirical patterns  
Keyword(3) Government 2.0  
Keyword(4) machine learning  
Keyword(5) pattern extraction  
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Keyword(8)  
1st Author's Name Yuta Sano  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Tsunenori Mine  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2016-12-09 10:05:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2016-12 
Volume (vol) vol.116 
Number (no) no.350 
Page pp.1-6 
#Pages 6 
Date of Issue 2016-12-02 (AI) 

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