Paper Abstract and Keywords |
Presentation |
2014-01-24 11:10
A study on automatic classification method for Twitter "Big Data" Akari Yonekawa, Kenichi Nagaoka (Ishikawa National College of Tech.) IN2013-132 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The purpose of this study is classifying tweets automatically and visualizing the results. Specifically, this research attempts to classify automatically sentiments on specific subject to positive or negative, and visualize the results to research the public opinion. To begin with, we build the supervised database, which is consisted by frequency of morphemes and consecutive morphemes, in a positive, negative or other tweet, from random sampled tweets classified manually. By depending on this supervised database, tweets are classified to positive, negative or others. The result of our experiment classifying general tweets shows accurate classification to a certain degree, especially when classifying to positive or negative without others. On the other hand, it is clarified that for specific subject, difficult examples have been seen in case that tweets include no any words which directly show its sentiment. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Social media / Information visualization / Twitter / Morphological analysis / Big data / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 389, IN2013-132, pp. 87-91, Jan. 2014. |
Paper # |
IN2013-132 |
Date of Issue |
2014-01-16 (IN) |
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 |
IN2013-132 |
Conference Information |
Committee |
IN NWS |
Conference Date |
2014-01-23 - 2014-01-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nagoya International Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Network Software, Contents Delivery/Contents Exchange, Social Networking Service (SNS), Data Analysis/Processing Platform, Big Data, etc. |
Paper Information |
Registration To |
IN |
Conference Code |
2014-01-IN-NWS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A study on automatic classification method for Twitter "Big Data" |
Sub Title (in English) |
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Keyword(1) |
Social media |
Keyword(2) |
Information visualization |
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Twitter |
Keyword(4) |
Morphological analysis |
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Big data |
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1st Author's Name |
Akari Yonekawa |
1st Author's Affiliation |
Ishikawa National College of Technology (Ishikawa National College of Tech.) |
2nd Author's Name |
Kenichi Nagaoka |
2nd Author's Affiliation |
Ishikawa National College of Technology (Ishikawa National College of Tech.) |
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Speaker |
Author-1 |
Date Time |
2014-01-24 11:10:00 |
Presentation Time |
25 minutes |
Registration for |
IN |
Paper # |
IN2013-132 |
Volume (vol) |
vol.113 |
Number (no) |
no.389 |
Page |
pp.87-91 |
#Pages |
5 |
Date of Issue |
2014-01-16 (IN) |
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