| Paper Abstract and Keywords |
| Presentation |
2018-06-02 09:50
Taxonomy classification with clustered ESA and Machine learning Ryo Ataka, Incheon Paik (UoA) SC2018-12 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
It is known that the classification of documents with taxonomically short distance has lower accuracy than that of usual documents. In this paper, we use Explicit Semantic Analysis (ESA) to extract additional information from input documents and improve taxonomy classification performance. ESA is used to create a semantic interpreter for semantic analysis. We propose a method to create a meaningful additional feature vector element with clustered ESA and combine it with the original document. Then we classify it by several machine learning algorithms. We gained high accuracy improvement by text classification using Convolutional Neural Networks (CNN) and Multilayer Perceptron (MLP). |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Taxonomy classification / Machine learning / ESA / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 118, no. 72, SC2018-12, pp. 65-70, June 2018. |
| Paper # |
SC2018-12 |
| Date of Issue |
2018-05-25 (SC) |
| ISSN |
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 |
SC2018-12 |
| Conference Information |
| Committee |
SC |
| Conference Date |
2018-06-01 - 2018-06-02 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
UBIC 3D Theater, University of Aizu |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Service Computing for the 4th Industrial Revolution and Other Issues |
| Paper Information |
| Registration To |
SC |
| Conference Code |
2018-06-SC |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Taxonomy classification with clustered ESA and Machine learning |
| Sub Title (in English) |
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| Keyword(1) |
Taxonomy classification |
| Keyword(2) |
Machine learning |
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ESA |
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| 1st Author's Name |
Ryo Ataka |
| 1st Author's Affiliation |
University of Aizu (UoA) |
| 2nd Author's Name |
Incheon Paik |
| 2nd Author's Affiliation |
University of Aizu (UoA) |
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| Speaker |
Author-1 |
| Date Time |
2018-06-02 09:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
SC |
| Paper # |
SC2018-12 |
| Volume (vol) |
vol.118 |
| Number (no) |
no.72 |
| Page |
pp.65-70 |
| #Pages |
6 |
| Date of Issue |
2018-05-25 (SC) |