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| Paper Abstract and Keywords | ||
| Presentation | 2013-07-23 17:00 Extracting Details of Train Troubles from Microblogs Kei Tsuchiya, Masashi Toyoda, Masaru Kitsuregawa (Univ. of Tokyo)  DE2013-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | When train troubles occur, users of microblogs often post information about these troubles. Microblogs often include more ne-graind information of train troubles than official information. Such information could make out decision better. In this paper, we propose a method for extracting details of train troubles by analyzing Twit- ter. We classify train troubles into suspensions, partial suspensions and other troubles, then detect whether these troubles occur or not. Experimental results show that proposed method work well in case of suspencions and partial suspencions. We also nd that by analyzing twitter, we can know information which is not reported officially such as congestion and recovery of train troubles. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Data mining / Web mining / Microblog / Event detection / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 150, DE2013-30, pp. 175-180, July 2013. | |
| Paper # | DE2013-30 | |
| Date of Issue | 2013-07-15 (DE) | |
| 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 | DE2013-30 |
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| Conference Information | |
| Committee | DE IPSJ-DBS IPSJ-IFAT |
| Conference Date | 2013-07-22 - 2013-07-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Data Management, Information Search and Knowledge Retrieval for Big Data, etc. |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2013-07-DE-DBS-IFAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extracting Details of Train Troubles from Microblogs |
| Sub Title (in English) | |
| Keyword(1) | Data mining |
| Keyword(2) | Web mining |
| Keyword(3) | Microblog |
| Keyword(4) | Event detection |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kei Tsuchiya |
| 1st Author's Affiliation | University of Tokyo (Univ. of Tokyo) |
| 2nd Author's Name | Masashi Toyoda |
| 2nd Author's Affiliation | University of Tokyo (Univ. of Tokyo) |
| 3rd Author's Name | Masaru Kitsuregawa |
| 3rd Author's Affiliation | University of Tokyo (Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2013-07-23 17:00:00 |
| Presentation Time | 40 minutes |
| Registration for | DE |
| Paper # | DE2013-30 |
| Volume (vol) | vol.113 |
| Number (no) | no.150 |
| Page | pp.175-180 |
| #Pages | 6 |
| Date of Issue | 2013-07-15 (DE) |
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