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Paper Abstract and Keywords
Presentation 2017-06-02 13:55
Taxonomy Classification By Explicit Semantic Analysis & Deep Machine Learning
Kento Hayasaka, Incheon Paik (Univ. of Aizu) SC2017-3
Abstract (in Japanese) (See Japanese page) 
(in English) Text classification by machine learning is an important and popular research topic. Classification of texts between different domains has shown very good performance, but similar texts, for example, concepts with taxonomies under the same ontological origin, are more difficult to be classified by the existing approaches. In this research, to improve taxonomical text classification, we use an additional concept with Explicit Semantic Analysis (ESA) and apply it to the existing shallow learning such as Support Vector Machine (SVM) and deep Convolutional Neural Network(CNN). We could get a good improvement of about 5% using ESA and CNN.
Keyword (in Japanese) (See Japanese page) 
(in English) Taxonomy Classification / Semantic Analysis / Convolutional Neural Network / SVM / Clustering / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 75, SC2017-3, pp. 11-15, June 2017.
Paper # SC2017-3 
Date of Issue 2017-05-26 (SC) 
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 SC2017-3

Conference Information
Committee SC  
Conference Date 2017-06-02 - 2017-06-03 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Aizu(UBIC 3D) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Service Computing including IoT, Big Data Analytics, Intelligent Communication System, and Other Issues 
Paper Information
Registration To SC 
Conference Code 2017-06-SC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Taxonomy Classification By Explicit Semantic Analysis & Deep Machine Learning 
Sub Title (in English)  
Keyword(1) Taxonomy Classification  
Keyword(2) Semantic Analysis  
Keyword(3) Convolutional Neural Network  
Keyword(4) SVM  
Keyword(5) Clustering  
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Keyword(7)  
Keyword(8)  
1st Author's Name Kento Hayasaka  
1st Author's Affiliation University of Aizu (Univ. of Aizu)
2nd Author's Name Incheon Paik  
2nd Author's Affiliation University of Aizu (Univ. of Aizu)
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Speaker Author-1 
Date Time 2017-06-02 13:55:00 
Presentation Time 25 minutes 
Registration for SC 
Paper # SC2017-3 
Volume (vol) vol.117 
Number (no) no.75 
Page pp.11-15 
#Pages 5 
Date of Issue 2017-05-26 (SC) 

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