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| Presentation | 2020-09-09 12:00 [Short Paper] Semantic structurization of geotagged tweets for real-world information retrieval Jeongwoo Lim, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.)  MVE2020-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Twitter is a useful source for retrieving up-to-date information about the real-world. This paper proposes a method, for providing Twitter users’ observations at different places of interest (PoI) in the real-world in a structurized way by considering their semantic relations. The proposed method firstly extracts geotagged tweets containing words representing PoIs as the observations at the corresponding PoIs. Since the tweets extracted by the same words can be the observations at multiple PoIs, they are clustered based on their geotags so that the tweets in each cluster would correspond to the observations of a single PoI. Then, the semantics of each PoI is estimated from its observations to examine the semantic relations among PoIs. Finally,closely located semantically similar PoIs are merged as the observations at a unique PoI, which is represented by different words such as their aliases. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Geotagged tweets / Structurization / Semantic relations / Information extraction / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 160, MVE2020-15, pp. 27-28, Sept. 2020. | |
| Paper # | MVE2020-15 | |
| Date of Issue | 2020-09-01 (MVE) | |
| 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) | |
| Download PDF | MVE2020-15 |
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| Conference Information | |
| Committee | MVE |
| Conference Date | 2020-09-08 - 2020-09-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2020-09-MVE |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semantic structurization of geotagged tweets for real-world information retrieval |
| Sub Title (in English) | |
| Keyword(1) | Geotagged tweets |
| Keyword(2) | Structurization |
| Keyword(3) | Semantic relations |
| Keyword(4) | Information extraction |
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| 1st Author's Name | Jeongwoo Lim |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Naoko Nitta |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Kazuaki Nakamura |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
| 4th Author's Name | Noboru Babaguchi |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-09-09 12:00:00 |
| Presentation Time | 15 minutes |
| Registration for | MVE |
| Paper # | MVE2020-15 |
| Volume (vol) | vol.120 |
| Number (no) | no.160 |
| Page | pp.27-28 |
| #Pages | 2 |
| Date of Issue | 2020-09-01 (MVE) |
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