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Paper Abstract and Keywords
Presentation 2019-12-04 10:25
Attempting News Classification by Media Characteristics
Yoshifumi Seki (Gunosy Inc.) NLC2019-29
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to classify news articles by medium characteristics.
In this paper, we compare the vectorization method of documents through the construction of a classification model for major newspapers and Tabloid.
Although the classification of news articles is an popular issues, most of them deal with topics and categories, and there are few attempts to reflect differences in writing and nuances within the same category.
However, it is important to evaluate such writing and nuances, which is a very important task in the modern news consumption environment.
As a result of our experiment, many models learned events and topics strongly, and it was found that classification was very difficult.
On the other hand, it was suggested that the model using BERT may be able to consider writing and nuances.
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 119, no. 320, NLC2019-29, pp. 1-5, Dec. 2019.
Paper # NLC2019-29 
Date of Issue 2019-11-27 (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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF NLC2019-29

Conference Information
Committee NLC IPSJ-NL SP IPSJ-SLP  
Conference Date 2019-12-04 - 2019-12-06 
Place (in Japanese) (See Japanese page) 
Place (in English) NHK Science & Technology Research Labs. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 6th Natural Language Processing Symposium & The 21th Spoken Language Symposium 
Paper Information
Registration To NLC 
Conference Code 2019-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Attempting News Classification by Media Characteristics 
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1st Author's Name Yoshifumi Seki  
1st Author's Affiliation Gunosy Inc. (Gunosy Inc.)
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Speaker Author-1 
Date Time 2019-12-04 10:25:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2019-29 
Volume (vol) vol.119 
Number (no) no.320 
Page pp.1-5 
#Pages 5 
Date of Issue 2019-11-27 (NLC) 

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