Paper Abstract and Keywords |
Presentation |
2015-02-05 13:00
Extracting Similar Documents by Eigenvector Algorithm Shoko Kato, Kazumi Saito (Univ. of Shizuoka), Kazuhiro Kazama (Wakayama Univ.) NLC2014-46 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we extract some similar documents from large number of text documents
by calculating eigenvector of document-term similarlity matrices.
Namely, we propose a Weighted-SR (WSR) method based on the Spectral-Relaxation (SR) method.
The SR method is one of core extraction methods of complex networks.
We also consider LSA-WSR and MDS-WSR methods based on LSA and MDS.
In our experiments using a text document dataset from Yahoo! News,
we demonstrate that these methods extract documents which consist of mixed topics
and split one topic into some core portions.
We also show that the number of extracted documents is decreased
and similar documents narrowed down
by increasing $eta$ which is an arbitrary parameter. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Documents Extraction / Core Analysis / Eigenvector / Topic Extraction / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 444, NLC2014-46, pp. 11-16, Feb. 2015. |
Paper # |
NLC2014-46 |
Date of Issue |
2015-01-29 (NLC) |
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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NLC2014-46 |
Conference Information |
Committee |
NLC |
Conference Date |
2015-02-05 - 2015-02-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
T.O.G |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The Sixth Symposium on Text Mining |
Paper Information |
Registration To |
NLC |
Conference Code |
2015-02-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Extracting Similar Documents by Eigenvector Algorithm |
Sub Title (in English) |
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Keyword(1) |
Documents Extraction |
Keyword(2) |
Core Analysis |
Keyword(3) |
Eigenvector |
Keyword(4) |
Topic Extraction |
Keyword(5) |
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Keyword(6) |
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Keyword(8) |
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1st Author's Name |
Shoko Kato |
1st Author's Affiliation |
University of Shizuoka (Univ. of Shizuoka) |
2nd Author's Name |
Kazumi Saito |
2nd Author's Affiliation |
University of Shizuoka (Univ. of Shizuoka) |
3rd Author's Name |
Kazuhiro Kazama |
3rd Author's Affiliation |
Wakayama University (Wakayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-02-05 13:00:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2014-46 |
Volume (vol) |
vol.114 |
Number (no) |
no.444 |
Page |
pp.11-16 |
#Pages |
6 |
Date of Issue |
2015-01-29 (NLC) |