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Paper Abstract and Keywords
Presentation 2023-03-17 11:05
Automatic Detection of Fire Causes for Text Mining of Fire Report
Kento Matsuba (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SC2022-41
Abstract (in Japanese) (See Japanese page) 
(in English) Fire departments across Japan are facing the retirement of a large number of firefighters. So passing on skills and know-how to younger firefighters has become an issue in firefighting administration nationwide. Fire reports, which contain detailed summaries of fires, are difficult to analyze and are not fully utilized. Therefore, extracting information from fire reports is an issue. The purpose of this study is to mechanically extract the ignition sources and ignition materials that caused the fire from the text describing the fire conditions in the fire report. The research approach is to create an index that accumulates objects that have been ignition sources and materials in actual fire cases. Then, utilizing the indexes created and the data used in the fire information, extract the ignition sources and materials from the text. The proposed method was able to extract 81.6% of ignition sources and 74.6% of ignition materials from the fire summary with high accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) know-how transfer / fire report / cause of fire / NLP / text mining / auto extraction / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 448, SC2022-41, pp. 16-21, March 2023.
Paper # SC2022-41 
Date of Issue 2023-03-10 (SC) 
ISSN 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 SC2022-41

Conference Information
Committee SC  
Conference Date 2023-03-17 - 2023-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) NII 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Services Computing under Metaverse, and general topics 
Paper Information
Registration To SC 
Conference Code 2023-03-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Detection of Fire Causes for Text Mining of Fire Report 
Sub Title (in English)  
Keyword(1) know-how transfer  
Keyword(2) fire report  
Keyword(3) cause of fire  
Keyword(4) NLP  
Keyword(5) text mining  
Keyword(6) auto extraction  
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Keyword(8)  
1st Author's Name Kento Matsuba  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Sachio Saiki  
2nd Author's Affiliation Kochi University of Technology (Kochi Univ. of Tech.)
3rd Author's Name Masahide Nakamura  
3rd Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-2 
Date Time 2023-03-17 11:05:00 
Presentation Time 25 minutes 
Registration for SC 
Paper # SC2022-41 
Volume (vol) vol.122 
Number (no) no.448 
Page pp.16-21 
#Pages 6 
Date of Issue 2023-03-10 (SC) 

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