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| Presentation | 2017-09-19 15:50 Extracting of Commentary on the Current News from Twitter Keiichi Mizuka (Konan Univ), Yu Suzuki (NAIST), Akiyo Nadamoto (Konan Univ)  DE2017-19 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | There are vast amounts of tweets about news article on the Twitter. These tweets are included not only opinions and sentiment but also comment about the news article. However, tweets which are include comment of news article are believed by people even if their credibility is not clear. In this way, sometime these tweets are spread by people. Then we consider that it is an important to raise the alarm over the tweet of whose credibility is not clear. In this paper, as a first step of extracting tweets whose credibility is not clear, we propose a method to extract tweets that have commentary part on news article from the tweet. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Twitter / News / SVM / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 212, DE2017-19, pp. 111-116, Sept. 2017. | |
| Paper # | DE2017-19 | |
| Date of Issue | 2017-09-11 (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 | DE2017-19 |
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| Conference Information | |
| Committee | DE IPSJ-DBS IPSJ-IFAT |
| Conference Date | 2017-09-18 - 2017-09-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ochanomizu University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Big Data Management, Information Retrieval, Knowledge Discovery, etc. |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2017-09-DE-DBS-IFAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extracting of Commentary on the Current News from Twitter |
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| Keyword(2) | News |
| Keyword(3) | SVM |
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| 1st Author's Name | Keiichi Mizuka |
| 1st Author's Affiliation | Konan University (Konan Univ) |
| 2nd Author's Name | Yu Suzuki |
| 2nd Author's Affiliation | NARA INSTITUTE of SCIENCE and TECHNOLOGY (NAIST) |
| 3rd Author's Name | Akiyo Nadamoto |
| 3rd Author's Affiliation | Konan University (Konan Univ) |
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| Speaker | Author-1 |
| Date Time | 2017-09-19 15:50:00 |
| Presentation Time | 30 minutes |
| Registration for | DE |
| Paper # | DE2017-19 |
| Volume (vol) | vol.117 |
| Number (no) | no.212 |
| Page | pp.111-116 |
| #Pages | 6 |
| Date of Issue | 2017-09-11 (DE) |
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