Paper Abstract and Keywords |
Presentation |
2012-03-13 10:45
Intelligent Platform for Concern Assessment Based on Micropost Utterance Classification by Topic of Interest Robin M. E. Swezey, Mahmoud Salim Bouyahyaoui, Shun Shiramatsu, Tadachika Ozono, Toramatsu Shintani (Nagoya Inst. of Tech.) AI2011-43 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Means of communication on the Web have become widely spread and extremely used, e.g social networks such as Twitter. One of the purposes of this use is to inform, discuss and give an opinion on political topics and social issues. However, relevant information from this system is fuzzy and surrounded by an important amount of noise, which makes it difficult to assess concern from the population toward social issues on the Web. Popular trends do not cluster around social issues, and tools such as social search engines do not provide the required functions. Thus, we propose a system that can be able to process the noise and collect the important information by classifying utterances for later concern assessment in the form of clustering and retrieval. We deal with scalability in the processing of microposts by taking advantage of hardware specifications, and test three algorithms to classify and sort relevant utterances by topic. The tests show that contrary to initial belief CNB does not perform better than NB for per-topic tweet classification, and that topic refinement improves results overall, while logistic regression stays fairly unaffected by this feature clustering. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
semantic web / information retrieval / machine learning / egovernment / twitter / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 474, AI2011-43, pp. 1-6, March 2012. |
Paper # |
AI2011-43 |
Date of Issue |
2012-03-06 (AI) |
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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AI2011-43 |
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