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| Presentation | 2016-09-08 10:35 Discrimination of Manyo-shu and Kokin-Waka-shu and Dating of Poets using Machine Learning Kazuhisa Noguchi (Kyushu Univ.), Akira Aiba (Shibaura Inst. of Tech.), Sachio Hirokawa (Kyushu Univ.)  NLC2016-14 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Manyo-Shu and Kokinwaka-Shu are famous anthologies of Japanese poetry (Waka-Shu). They have different background and different compilation history. It is well known that they have many different features such as contents and rhetoric. This paper consider the discrimination of the two Waka-Shu by applying machine learning method SVM (support vector machine). Moreover, this paper proposes to use the predicted score (SVM score) of poetry for dating a poet. We confirmed that 60 feature words are enough to gain 86% prediction performance. We obtained a regression formula y = -2.37477 * x + 805.6495 to guess the year y of a poet whose SVM score is x. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Machine Learning / SVM / Feature Selection / WAKA / Mannyo-shu / Kokin-shu / Dating / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 213, NLC2016-14, pp. 7-11, Sept. 2016. | |
| Paper # | NLC2016-14 | |
| Date of Issue | 2016-09-01 (NLC) | |
| 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 | NLC2016-14 |
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| Conference Information | |
| Committee | NLC |
| Conference Date | 2016-09-08 - 2016-09-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Convention Room AP Shibuya-Dogenzaka (Tokyo) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Ninth Text Mining Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2016-09-NLC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Discrimination of Manyo-shu and Kokin-Waka-shu and Dating of Poets using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | SVM |
| Keyword(3) | Feature Selection |
| Keyword(4) | WAKA |
| Keyword(5) | Mannyo-shu |
| Keyword(6) | Kokin-shu |
| Keyword(7) | Dating |
| Keyword(8) | |
| 1st Author's Name | Kazuhisa Noguchi |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Akira Aiba |
| 2nd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
| 3rd Author's Name | Sachio Hirokawa |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-09-08 10:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2016-14 |
| Volume (vol) | vol.116 |
| Number (no) | no.213 |
| Page | pp.7-11 |
| #Pages | 5 |
| Date of Issue | 2016-09-01 (NLC) |
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