Paper Abstract and Keywords |
Presentation |
2007-05-25 09:00
Text Classification Method Based on Hierarchical Relations among Words Katsuji Bessho, Toshio Uchiyama, Ryoji Kataoka (NTT) PRMU2007-15 MI2007-15 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Most of conventional text classification methods use symmetric measures such as cosine similarity or Euclidean metric of feature vectors derived from documents. This paper introduces to use Kullback-Leibler metric, which is non-symmetric, of the vectors for the text classification. We found that Kullback-Leibler metric instead of cosine similarity can reveal different aspect of association between words. Considering this property, this paper proposes the combined classification method which uses both cosine-Euclidean measure and KL metric. The experimental results showed that the proposed method improves classification accuracies of the method using only the cosine-Euclidean measure. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Concept Vector / Kullback-Leibler Metric / Text Classification / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 57, PRMU2007-15, pp. 79-84, May 2007. |
Paper # |
PRMU2007-15 |
Date of Issue |
2007-05-17 (PRMU, MI) |
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) |
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PRMU2007-15 MI2007-15 |
Conference Information |
Committee |
PRMU MI |
Conference Date |
2007-05-24 - 2007-05-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Mie Univ. |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2007-05-PRMU-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Text Classification Method Based on Hierarchical Relations among Words |
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Concept Vector |
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Kullback-Leibler Metric |
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Text Classification |
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1st Author's Name |
Katsuji Bessho |
1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
2nd Author's Name |
Toshio Uchiyama |
2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
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Ryoji Kataoka |
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Nippon Telegraph and Telephone Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2007-05-25 09:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2007-15, MI2007-15 |
Volume (vol) |
vol.107 |
Number (no) |
no.57(PRMU), no.58(MI) |
Page |
pp.79-84 |
#Pages |
6 |
Date of Issue |
2007-05-17 (PRMU, MI) |
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