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| Paper Abstract and Keywords | ||
| Presentation | 2012-09-27 09:30 Analysis of Influential Tweets on Twitter Using N-gram Model Yuki Nakada, Eiji Kamioka (SIT)  MoMuC2012-20 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the remarkable development of social networking services in recent years, anyone can easily share their information. These services can be used for corporate advertising (PR) as well as building individual influences on the public. In this paper, grammatical feature extraction from posted sentences will be performed and sentence patterns which can commonly be posted by anyone will be derived. Grammatical features used in this paper are the ratio of column and the percentage of part-of-speech in the posted sentences. In addition to these investigations, discussions and comparisons on different aspects of general and influential posts will be presented. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | SNS / Web mining / N-gram Model / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, Sept. 2012. | |
| Paper # | ||
| Date of Issue | 2012-09-20 (MoMuC) | |
| 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 | MoMuC2012-20 |
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| Conference Information | |
| Committee | MoNA CQ |
| Conference Date | 2012-09-27 - 2012-09-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagawa pref. Takamatsu-city |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile network, mobile service and application, multimedia contents and delivery, and their quality, General area |
| Paper Information | |
| Registration To | MoNA |
| Conference Code | 2012-09-MoMuC-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of Influential Tweets on Twitter Using N-gram Model |
| Sub Title (in English) | |
| Keyword(1) | SNS |
| Keyword(2) | Web mining |
| Keyword(3) | N-gram Model |
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| Keyword(8) | |
| 1st Author's Name | Yuki Nakada |
| 1st Author's Affiliation | Shibaura Institute of Technology (SIT) |
| 2nd Author's Name | Eiji Kamioka |
| 2nd Author's Affiliation | Shibaura Institute of Technology (SIT) |
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| Speaker | Author-1 |
| Date Time | 2012-09-27 09:30:00 |
| Presentation Time | 30 minutes |
| Registration for | MoNA |
| Paper # | MoMuC2012-20 |
| Volume (vol) | vol.112 |
| Number (no) | no.219 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2012-09-20 (MoMuC) |
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