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| Presentation | 2020-01-23 13:50 Manga Feature Tag Extraction from Reviews on the Web for e-Book Search Kazuya Murao, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.)  IN2019-65 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the digitization of books has progressed, and the number of Web sites for selling e-book comics has increased. And the number of people who purchase electronic books has increased due to the spread of smartphones and other factors. Some e-book sales sites assign each electronic book with tags and keywords for search assistance and indicating its content, but it is difficult for users to fully grasp its content because most of them are too simple ones such as its genres, target age groups, media presence, and so on. Therefore, this paper aims at developing a more comprehensible e-book search system that allows to offer each manga e-book with its more comprehensible Manga Feature Tags, such as terms representing its content, their importance, and its genres with their proportion, which are automatically generated by analyzing a lot of reviews on the Web by calculating Term Frequency and Term Importance. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Tagging / Keyword Extraction / Feature Extraction / Review Analysis / e-Book / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 384, IN2019-65, pp. 1-6, Jan. 2020. | |
| Paper # | IN2019-65 | |
| Date of Issue | 2020-01-16 (IN) | |
| 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 | IN2019-65 |
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| Conference Information | |
| Committee | IN |
| Conference Date | 2020-01-23 - 2020-01-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | WINC AICHI |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2020-01-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Manga Feature Tag Extraction from Reviews on the Web for e-Book Search |
| Sub Title (in English) | |
| Keyword(1) | Tagging |
| Keyword(2) | Keyword Extraction |
| Keyword(3) | Feature Extraction |
| Keyword(4) | Review Analysis |
| Keyword(5) | e-Book |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kazuya Murao |
| 1st Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 2nd Author's Name | Komei Arasawa |
| 2nd Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 3rd Author's Name | Shun Hattori |
| 3rd Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2020-01-23 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | IN |
| Paper # | IN2019-65 |
| Volume (vol) | vol.119 |
| Number (no) | no.384 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2020-01-16 (IN) |
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