Paper Abstract and Keywords |
Presentation |
2016-03-25 10:20
Visualization Technique to Colorize and Categorize Occurrence Frequency of Key Words in Newspapers with Temporal Scalability Ken T. Murata, Yoshiaki Nagaya, Kazunori Yamamoto (NICT), Kentaro Ukawa, Kazuya Muranaga, Junichi Murayama, Yutaka Suzuki (SEC) SC2015-22 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose a technique to visualize occurrence frequency of specified categories or key words in archived database of newspaper. We first count the number of articles that belong to the specified categories or contain specified key words. Then time-dependent counts or occurrence frequency are drawn in time-dependent palettes. The visualization of color palette is in multi-scale, and a web application named SOMATO provides a time-scalable preview of the palettes. It provides us with environment for easy comprehension of trend of events or phenomena in societies. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Temporal Scalable / Visualization / Web / Newspaper / Color palette / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 520, SC2015-22, pp. 1-6, March 2016. |
Paper # |
SC2015-22 |
Date of Issue |
2016-03-18 (SC) |
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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SC2015-22 |
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