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Paper Abstract and Keywords
Presentation 2021-09-16 10:50
A Proposal for a Browser-Based Text Mining System for Co-occurrence Network Visualization and Analysis
Ryo Yasutake (Tokyo Denki Univ.), Kenichi Nonaka (Rikkyo Univ.), Masayuki Iwai (Tokyo Denki Univ.) NLC2021-9
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, various text mining tools have been developed, such as KH Coder and the text mining tool of UserLocal. Many literary researchers have used these tools to make academically significant discoveries. However, in some cases, these tools are difficult to analyze, and it is difficult to understand how to use them without tutorials, which is inconvenient for users who want to try them out. To solve this problem, we develop a text analysis application, and aim to create a text mining tool with the function of a three-dimensional co-occurrence network that retains time-series information. In addition, we aim to create an intuitive and easy-to-understand user interface for users who want to try out the analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) text data mining / Web application / data visualization / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 178, NLC2021-9, pp. 17-19, Sept. 2021.
Paper # NLC2021-9 
Date of Issue 2021-09-09 (NLC) 
ISSN Online edition: ISSN 2432-6380
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 NLC2021-9

Conference Information
Committee NLC  
Conference Date 2021-09-16 - 2021-09-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 18th Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2021-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal for a Browser-Based Text Mining System for Co-occurrence Network Visualization and Analysis 
Sub Title (in English)  
Keyword(1) text data mining  
Keyword(2) Web application  
Keyword(3) data visualization  
1st Author's Name Ryo Yasutake  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Kenichi Nonaka  
2nd Author's Affiliation Rikkyo University (Rikkyo Univ.)
3rd Author's Name Masayuki Iwai  
3rd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2021-09-16 10:50:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2021-9 
Volume (vol) vol.121 
Number (no) no.178 
Page pp.17-19 
Date of Issue 2021-09-09 (NLC) 

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