| Paper Abstract and Keywords |
| Presentation |
2014-05-29 14:45
Multi-Label Classification of News Corpus using Linear Mixture Models Yuichiro Kase, Takao Miura (Hosei Univ.) KBSE2014-3 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We propose a novel approach to classify news articles with multiple labels.
With small amount of articles considered as training data, we extract
probability distribution depending on each label based on most likeliness
estimation (MLE). We assume multi-nominal distribution over words,
we obtain class membership distribution within a framework of mixture models.
Then we apply fuzzy clustering approach to estimate multiple labels.
We discuss some experimental results to show how well the proposed
approach works. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Classification / Multi-Labelling / EM Algorithm / Fuzzy Clustering / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 114, no. 66, KBSE2014-3, pp. 13-18, May 2014. |
| Paper # |
KBSE2014-3 |
| Date of Issue |
2014-05-22 (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) |
| Download PDF |
KBSE2014-3 |
| Conference Information |
| Committee |
KBSE |
| Conference Date |
2014-05-29 - 2014-05-30 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Keio Univ.(Raiou-sha, Hiyoshi Campus) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Genaral session |
| Paper Information |
| Registration To |
KBSE |
| Conference Code |
2014-05-KBSE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Multi-Label Classification of News Corpus using Linear Mixture Models |
| Sub Title (in English) |
|
| Keyword(1) |
Classification |
| Keyword(2) |
Multi-Labelling |
| Keyword(3) |
EM Algorithm |
| Keyword(4) |
Fuzzy Clustering |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Yuichiro Kase |
| 1st Author's Affiliation |
Hosei University (Hosei Univ.) |
| 2nd Author's Name |
Takao Miura |
| 2nd Author's Affiliation |
Hosei University (Hosei Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2014-05-29 14:45:00 |
| Presentation Time |
45 minutes |
| Registration for |
KBSE |
| Paper # |
KBSE2014-3 |
| Volume (vol) |
vol.114 |
| Number (no) |
no.66 |
| Page |
pp.13-18 |
| #Pages |
6 |
| Date of Issue |
2014-05-22 (KBSE) |