Paper Abstract and Keywords |
Presentation |
2013-12-04 16:25
Predicting Japanese General Elections in 2013 with Twitter: Considering Diffusion of Candidates' Tweets Kaoru Nasuno, Yutaka Matsuo (Tokyo Univ.) NLC2013-38 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we predict who pass the Japanese general election in 2013 using not voters' features but candidates' features: 6 features on candidate's account (followers_count, friends_count, number of tweets, etc.) and 3 features on candidates' information diffusion (size, variety and loyalty of information diffusion). We conduct a prediction experiment with Random Forest through 10-fold cross validation. The result is that f-measure with the features on information diffusion is higher by about 12% than that with only the features on candidate's account. The result also indicates desirable state of candidates' twitter account for success in election. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
election prediction / Twitter / information diffusion / Japanese general election / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 338, NLC2013-38, pp. 25-28, Dec. 2013. |
Paper # |
NLC2013-38 |
Date of Issue |
2013-11-27 (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) |
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NLC2013-38 |
Conference Information |
Committee |
NLC |
Conference Date |
2013-12-04 - 2013-12-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Gree Inc. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The 5th Symposium on Collective Knowlege |
Paper Information |
Registration To |
NLC |
Conference Code |
2013-12-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Predicting Japanese General Elections in 2013 with Twitter: Considering Diffusion of Candidates' Tweets |
Sub Title (in English) |
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election prediction |
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Twitter |
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information diffusion |
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Japanese general election |
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1st Author's Name |
Kaoru Nasuno |
1st Author's Affiliation |
The University of Tokyo (Tokyo Univ.) |
2nd Author's Name |
Yutaka Matsuo |
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The University of Tokyo (Tokyo Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-12-04 16:25:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2013-38 |
Volume (vol) |
vol.113 |
Number (no) |
no.338 |
Page |
pp.25-28 |
#Pages |
4 |
Date of Issue |
2013-11-27 (NLC) |
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