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| Presentation | 2020-09-10 17:05 Predicting categories and themes in newspaper articles using PMI Takumi Himeno, Kazutaka Shimada (Kyutech), Takehiro Murashige (NNP)  NLC2020-11 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, newspaper companies publish newspapers by not only paper but also electronic data to spread information. Electronic newspaper on the Web contains various tags easily to find related articles. However, assigning appropriate tags to each article is costly for writers because of many types of tags. In this paper, we propose a score-based model for tag prediction. The score is based on Point-wise Mutual Information (PMI). First, we calculate PMI from the newspaper article corpus. Next, we confirm the results of predicting tags through quantitative evaluation and qualitative evaluation. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Tagging / Point-wise Mutual Information (PMI) / Newspaper Article / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 166, NLC2020-11, pp. 52-56, Sept. 2020. | |
| Paper # | NLC2020-11 | |
| Date of Issue | 2020-09-03 (NLC) | |
| 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 | NLC2020-11 |
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| Conference Information | |
| Committee | NLC |
| Conference Date | 2020-09-10 - 2020-09-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Sixteenth Text Analytics Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2020-09-NLC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting categories and themes in newspaper articles using PMI |
| Sub Title (in English) | |
| Keyword(1) | Tagging |
| Keyword(2) | Point-wise Mutual Information (PMI) |
| Keyword(3) | Newspaper Article |
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| 1st Author's Name | Takumi Himeno |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Kazutaka Shimada |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 3rd Author's Name | Takehiro Murashige |
| 3rd Author's Affiliation | The nishinippon Shinbun Co. Ltd. (NNP) |
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| Speaker | Author-1 |
| Date Time | 2020-09-10 17:05:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2020-11 |
| Volume (vol) | vol.120 |
| Number (no) | no.166 |
| Page | pp.52-56 |
| #Pages | 5 |
| Date of Issue | 2020-09-03 (NLC) |
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