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| Presentation | 2015-06-20 10:25 Extracting missing tweet based on browsing time interval and topic structure Hiromitsu Ohara (Konan Univ.), Yu Suzuki (NAIST), Akiyo Nadamoto (Konan Univ.)  DE2015-2 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | On Twitter, a user who browses tweets can follow another user who is called followee.The browsing user can get his/her interesting information from followee's tweets on his/her timeline easily. If the browsing user follows many followees, there are so many tweets on his/her timeline. When the browsing user can not browse long time, he/she loses large amount of important information. In this case, we consider if system automatically presents summary of lack information, it is beneficial for the browsing user. In this paper, we propose how to extract such lack information on twitter automatically based on browsing time interval and topic structure. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Twitter / Data Mining / TDT / Time Series Information / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 110, DE2015-2, pp. 7-12, June 2015. | |
| Paper # | DE2015-2 | |
| Date of Issue | 2015-06-13 (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 | DE2015-2 |
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| Conference Information | |
| Committee | DE |
| Conference Date | 2015-06-20 - 2015-06-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Recruit Technologies |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Social Computing |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2015-06-DE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extracting missing tweet based on browsing time interval and topic structure |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | Data Mining |
| Keyword(3) | TDT |
| Keyword(4) | Time Series Information |
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| 1st Author's Name | Hiromitsu Ohara |
| 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 | 2015-06-20 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | DE |
| Paper # | DE2015-2 |
| Volume (vol) | vol.115 |
| Number (no) | no.110 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2015-06-13 (DE) |
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