Paper Abstract and Keywords |
Presentation |
2013-09-12 14:10
An approach for extracting concerned area of Twitter users by category information in Wikipedia Yinjun Hu, Yasuo Tanida (Synergy Marketing) NLC2013-17 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, Twitter becomes widely spread and owns a large number of users what attracts much attention for text mining research. In this paper, we propose a method of extracting concerned area of Twitter user using category information from Wikipedia. Twitter is a huge information repository, however, there is much word-sense ambiguation in Twitter data. Our approach is using the disambiguation pages of Wikipedia to do the word-sense disambiguation for the Twitter data. Finally, we categorized the disambiguated Twitter data by Wikipedia category information and treated the categorized data as the concerned area of the Twitter user. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Tweets / Concerned Area / Text mining / Wikipedia / Category / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 213, NLC2013-17, pp. 17-21, Sept. 2013. |
Paper # |
NLC2013-17 |
Date of Issue |
2013-09-05 (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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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NLC2013-17 |
Conference Information |
Committee |
NLC |
Conference Date |
2013-09-12 - 2013-09-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
National Olympics Memorial Youth Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The Third Symposium on Text Mining |
Paper Information |
Registration To |
NLC |
Conference Code |
2013-09-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An approach for extracting concerned area of Twitter users by category information in Wikipedia |
Sub Title (in English) |
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Tweets |
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Concerned Area |
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Text mining |
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Wikipedia |
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1st Author's Name |
Yinjun Hu |
1st Author's Affiliation |
ynergy Marketing, Inc. (Synergy Marketing) |
2nd Author's Name |
Yasuo Tanida |
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ynergy Marketing, Inc. (Synergy Marketing) |
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Speaker |
Author-1 |
Date Time |
2013-09-12 14:10:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2013-17 |
Volume (vol) |
vol.113 |
Number (no) |
no.213 |
Page |
pp.17-21 |
#Pages |
5 |
Date of Issue |
2013-09-05 (NLC) |
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