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Paper Abstract and Keywords
Presentation 2011-05-26 16:15
Characteristic Analysis for Researchers based on Correlations between Keyword Occurrences
Yukihiro Ando, Yukio Hori, Yoshiro Imai (Kagawa Univ.) KBSE2011-5
Abstract (in Japanese) (See Japanese page) 
(in English) As number of published papers grows more and more rapidly, their readers can hardly recognize or
decide which of papers to beselected for their interests by themselves. For the sake of convenient and useful glance
at suitably selected papers, it is important for potential readers to grasp meanings of related papers, decide to select them or not, and work out characteristics of research denoted in selected ones in a relatively shorter period. Several researches and studies have taught us some effective methods and solutions to extract and list up haracteristic keywords through analysis of papers to be processed. This paper describes selection of conventionally used keyword filtering methods (such as tf -idf, χ2, incidence rate and additionally AIC: Akaike Information Criteria), their real comparison for some specific researchers’ papers. It also discusses characteristic analysis for researchers based on correlations between keyword occurrences, visualization of some results, and their performances with concrete
descriptions.
Keyword (in Japanese) (See Japanese page) 
(in English) Text mining / Keyword occurrences / AIC / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 71, KBSE2011-5, pp. 25-30, May 2011.
Paper # KBSE2011-5 
Date of Issue 2011-05-19 (KBSE) 
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. (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 KBSE2011-5

Conference Information
Committee KBSE  
Conference Date 2011-05-26 - 2011-05-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Student, etc. 
Paper Information
Registration To KBSE 
Conference Code 2011-05-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Characteristic Analysis for Researchers based on Correlations between Keyword Occurrences 
Sub Title (in English)  
Keyword(1) Text mining  
Keyword(2) Keyword occurrences  
Keyword(3) AIC  
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1st Author's Name Yukihiro Ando  
1st Author's Affiliation Kagawa University (Kagawa Univ.)
2nd Author's Name Yukio Hori  
2nd Author's Affiliation Kagawa University (Kagawa Univ.)
3rd Author's Name Yoshiro Imai  
3rd Author's Affiliation Kagawa University (Kagawa Univ.)
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Speaker
Date Time 2011-05-26 16:15:00 
Presentation Time 30 
Registration for KBSE 
Paper # IEICE-KBSE2011-5 
Volume (vol) IEICE-111 
Number (no) no.71 
Page pp.25-30 
#Pages IEICE-6 
Date of Issue IEICE-KBSE-2011-05-19 


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