Paper Abstract and Keywords |
Presentation |
2013-06-22 15:39
Social emotion estimation by analyzing tweets using latent Dirichlet allocation Masahiro Ohmura, Koh Kakusho, Takeshi Okadome (Kwansei Gakuin Univ.) DE2013-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The method proposed here analyzes the social sentiments from collected
tweets that have at least one of 800 sentimental adjectives.
By dealing with half-a-day tweets as a document, the method
extracts the social sentiments using Latent Dirichlet Allocation (LDA). It
captures some sentiments that match our daily sense, although some
do not coincide with it. The extracted sentiments, however, indicate
lowered sensitivity to changes in time. Using LDA for the
representative 72 adjectives to which each of the 800 adjectives
maps with preserving the word frequencies permits us to obtain
sentiments that show improved sensitivity to changes in time. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
LDA / Topic modeling / Twitter / Sentiment analysis / Natural language processing / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 105, DE2013-9, pp. 17-22, June 2013. |
Paper # |
DE2013-9 |
Date of Issue |
2013-06-15 (DE) |
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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DE2013-9 |
Conference Information |
Committee |
DE |
Conference Date |
2013-06-22 - 2013-06-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
ASTUDIO, Aoyama Gakuin Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Social Computing |
Paper Information |
Registration To |
DE |
Conference Code |
2013-06-DE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Social emotion estimation by analyzing tweets using latent Dirichlet allocation |
Sub Title (in English) |
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Keyword(1) |
LDA |
Keyword(2) |
Topic modeling |
Keyword(3) |
Twitter |
Keyword(4) |
Sentiment analysis |
Keyword(5) |
Natural language processing |
Keyword(6) |
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Keyword(7) |
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Keyword(8) |
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1st Author's Name |
Masahiro Ohmura |
1st Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
2nd Author's Name |
Koh Kakusho |
2nd Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
3rd Author's Name |
Takeshi Okadome |
3rd Author's Affiliation |
Kwansei Gakuin University (Kwansei Gakuin Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-06-22 15:39:00 |
Presentation Time |
4 minutes |
Registration for |
DE |
Paper # |
DE2013-9 |
Volume (vol) |
vol.113 |
Number (no) |
no.105 |
Page |
pp.17-22 |
#Pages |
6 |
Date of Issue |
2013-06-15 (DE) |
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