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. (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. |
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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) |
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Keyword(1) |
Text mining |
Keyword(2) |
Keyword occurrences |
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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 |
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Kagawa University (Kagawa Univ.) |
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Speaker |
Author-1 |
Date Time |
2011-05-26 16:15:00 |
Presentation Time |
30 minutes |
Registration for |
KBSE |
Paper # |
KBSE2011-5 |
Volume (vol) |
vol.111 |
Number (no) |
no.71 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2011-05-19 (KBSE) |
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