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| Presentation | 2017-02-09 13:30 Stock market prediction from Web news using expert articles and machine learning Ko Ichinose, Kazutaka Shimada (KIT)  NLC2016-43 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The market analysis is one of the important tasks for text mining. Many researchers have proposed methods using text information for analyzing the market. In this situation, Web news has an important role to predict stock prices. In this paper, we propose a method to predict the Nikkei Stock Average, which is one of the most important stock market indexes. We extract viewpoints for analyzing web-news from analysis's articles of an expert and apply the viewpoints and a machine learning technique into the method. Then, we classify the next day into “UP” or “DOWN” by using the articles of a day. The experimental result shows the effectiveness of extracting viewpoints from expert articles. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Stock price prediction / SVM / Text mining / Expert articles / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 451, NLC2016-43, pp. 19-24, Feb. 2017. | |
| Paper # | NLC2016-43 | |
| Date of Issue | 2017-02-02 (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) | |
| Download PDF | NLC2016-43 |
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| Conference Information | |
| Committee | NLC IPSJ-IFAT |
| Conference Date | 2017-02-09 - 2017-02-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2017-02-NLC-IFAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Stock market prediction from Web news using expert articles and machine learning |
| Sub Title (in English) | |
| Keyword(1) | Stock price prediction |
| Keyword(2) | SVM |
| Keyword(3) | Text mining |
| Keyword(4) | Expert articles |
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| 1st Author's Name | Ko Ichinose |
| 1st Author's Affiliation | Kyushu Institute of Technology (KIT) |
| 2nd Author's Name | Kazutaka Shimada |
| 2nd Author's Affiliation | Kyushu Institute of Technology (KIT) |
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| Speaker | Author-1 |
| Date Time | 2017-02-09 13:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2016-43 |
| Volume (vol) | vol.116 |
| Number (no) | no.451 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2017-02-02 (NLC) |
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