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| Presentation | 2011-03-11 15:30 Filtering using Term Frequency and Structure of Blog Entries for Retrieving Relevant Entries Kouki Nakatani, Shinichi Yoshida (Kochi Univ. of Tech)  PRMU2010-292 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Classification of Blog articles using word vector is proposed and investigated of its precision. This algorithm classifies Blog articles to two categories---useful and useless. The number of Blog articles is 500 and 19003 word vectors are extracted and the number of word vectors is reduced to 100 based on idf value. The number of feature vectors is reduced to 3 to 5 using principal component analysis. Blog articles and their usefulness are input to neural network (multi-layer perceptron) and the network is trained by 100 articles and classifies 100 articles. The output precision is 70% in average using word-vectors, 60% using tf-idf valued word-histograms. The result shows that the precision decreased using tf-idf valued word-histograms, but the misclassified output of a useful article to a useless article is also decreased. Therefore the recall rate is thought to be increased using tf-idf valued word-histogram. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | blog / classification / word vector / tf-idf / neural network / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 467, PRMU2010-292, pp. 323-328, March 2011. | |
| Paper # | PRMU2010-292 | |
| Date of Issue | 2011-03-03 (PRMU) | |
| 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 | PRMU2010-292 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2011-03-10 - 2011-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2011-03-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Filtering using Term Frequency and Structure of Blog Entries for Retrieving Relevant Entries |
| Sub Title (in English) | |
| Keyword(1) | blog |
| Keyword(2) | classification |
| Keyword(3) | word vector |
| Keyword(4) | tf-idf |
| Keyword(5) | neural network |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kouki Nakatani |
| 1st Author's Affiliation | Kochi University of Technology (Kochi Univ. of Tech) |
| 2nd Author's Name | Shinichi Yoshida |
| 2nd Author's Affiliation | Kochi University of Technology (Kochi Univ. of Tech) |
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| Speaker | Author-1 |
| Date Time | 2011-03-11 15:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2010-292 |
| Volume (vol) | vol.110 |
| Number (no) | no.467 |
| Page | pp.323-328 |
| #Pages | 6 |
| Date of Issue | 2011-03-03 (PRMU) |
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