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| Presentation | 2017-06-23 13:40 Analyzing trend of foods using multidomain data Masashi Anzawa, Sosuke Amano, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log), Shin'ichi Satou (NII)  DE2017-2 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | People's diet is influenced variously such as social and cultural factors. the trend of meal changes by TV and SNS besides season, event. In addition, People became to see and enjoy food as well as eating. In this study, we focus on four kinds of domain data which are meal record service FoodLog, Google trends showing popularity of web search, household survey data showing food purchase amount, and TV subtitle data show exposure degree on television. And we analyze similarity between domain data degree, influence of trends by media, and clarify differences in data properties. Furthermore, we verify the presence or absence of seasonality from the time series data with respect to the meal name. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Multidomain data / Food trends / Time series data analysis / Seasonality / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 108, DE2017-2, pp. 7-10, June 2017. | |
| Paper # | DE2017-2 | |
| Date of Issue | 2017-06-16 (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 | DE2017-2 |
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| Conference Information | |
| Committee | DE |
| Conference Date | 2017-06-23 - 2017-06-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2017-06-DE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analyzing trend of foods using multidomain data |
| Sub Title (in English) | |
| Keyword(1) | Multidomain data |
| Keyword(2) | Food trends |
| Keyword(3) | Time series data analysis |
| Keyword(4) | Seasonality |
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| 1st Author's Name | Masashi Anzawa |
| 1st Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 2nd Author's Name | Sosuke Amano |
| 2nd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 3rd Author's Name | Kiyoharu Aizawa |
| 3rd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 4th Author's Name | Makoto Ogawa |
| 4th Author's Affiliation | foo.log Inc. (foo.log) |
| 5th Author's Name | Shin'ichi Satou |
| 5th Author's Affiliation | National Institute of Informatics (NII) |
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| Speaker | Author-1 |
| Date Time | 2017-06-23 13:40:00 |
| Presentation Time | 25 minutes |
| Registration for | DE |
| Paper # | DE2017-2 |
| Volume (vol) | vol.117 |
| Number (no) | no.108 |
| Page | pp.7-10 |
| #Pages | 4 |
| Date of Issue | 2017-06-16 (DE) |
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