Paper Abstract and Keywords |
Presentation |
2020-10-22 14:00
Visualization and analysis of tweets posted during the Kyushu flood disaster in July 2020 Sanetoshi Yamada, Keisuke Utsu, Osamu Uchida, Kohei Cho (Tokai Univ.) ICTSSL2020-18 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To minimize damage during disasters, the rapid collection and delivery of accurate information are essential. From this perspective, the use of social media, especially Twitter, in the case of a disaster has been attracted worldwide attention. In this study, we consider visualizing the contents of the tweets posted at the time of the Kyushu flood disaster in July 2020. We also develop a system to visualize the contents of the tweets and the precipitation on the day simultaneously. Besides, we report the changes in tweet characteristics depending on the time of day and the difference between the tweets in the Kyushu flood disaster in July 2020 and the tweets in the 2018 Western Japan heavy rain disaster. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Disaster / Twitter / co-occurrence network / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 202, ICTSSL2020-18, pp. 27-32, Oct. 2020. |
Paper # |
ICTSSL2020-18 |
Date of Issue |
2020-10-15 (ICTSSL) |
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) |
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ICTSSL2020-18 |
Conference Information |
Committee |
IN ICTSSL NWS |
Conference Date |
2020-10-22 - 2020-10-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
ICTSSL |
Conference Code |
2020-10-IN-ICTSSL-NWS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Visualization and analysis of tweets posted during the Kyushu flood disaster in July 2020 |
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Disaster |
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Twitter |
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co-occurrence network |
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1st Author's Name |
Sanetoshi Yamada |
1st Author's Affiliation |
Tokai University (Tokai Univ.) |
2nd Author's Name |
Keisuke Utsu |
2nd Author's Affiliation |
Tokai University (Tokai Univ.) |
3rd Author's Name |
Osamu Uchida |
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Tokai University (Tokai Univ.) |
4th Author's Name |
Kohei Cho |
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Tokai University (Tokai Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-10-22 14:00:00 |
Presentation Time |
25 minutes |
Registration for |
ICTSSL |
Paper # |
ICTSSL2020-18 |
Volume (vol) |
vol.120 |
Number (no) |
no.202 |
Page |
pp.27-32 |
#Pages |
6 |
Date of Issue |
2020-10-15 (ICTSSL) |
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