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Paper Abstract and Keywords
Presentation 2020-01-23 14:15
Property Extraction and Personality Vectorization of Twitter Users for Clarifying the Existence of Property's Effects on Personality
Haruki Ishikawa, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-66
Abstract (in Japanese) (See Japanese page) 
(in English) We, humans, have various properties such as gender, race, and religion. Such a property could have an influence on us who are the owners of those properties. For example, if you have sports as one of your hobby, then the hobby may have changed your personality. If a property affects the personality of the owner, it may be possible to change the personality by assigning a new property to a person. In addition, if it is possible to elucidate what kinds of effects the property has on the personality, it may be applicable to prevention of mood disorders such as depression and manic depression. Therefore, this paper proposes a method for property extraction and personality vectorization of Twitter users for the purpose of clarifying the existence of the effects of properties on personality using SNS analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Property Extraction / Personality Vectorization / SNS Analysis / Machine Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 384, IN2019-66, pp. 7-12, Jan. 2020.
Paper # IN2019-66 
Date of Issue 2020-01-16 (IN) 
ISSN Online edition: ISSN 2432-6380
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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Conference Information
Committee IN  
Conference Date 2020-01-23 - 2020-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) WINC AICHI 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. 
Paper Information
Registration To IN 
Conference Code 2020-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Property Extraction and Personality Vectorization of Twitter Users for Clarifying the Existence of Property's Effects on Personality 
Sub Title (in English)  
Keyword(1) Property Extraction  
Keyword(2) Personality Vectorization  
Keyword(3) SNS Analysis  
Keyword(4) Machine Learning  
1st Author's Name Haruki Ishikawa  
1st Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
2nd Author's Name Komei Arasawa  
2nd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
3rd Author's Name Shun Hattori  
3rd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
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Speaker Author-1 
Date Time 2020-01-23 14:15:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2019-66 
Volume (vol) vol.119 
Number (no) no.384 
Page pp.7-12 
Date of Issue 2020-01-16 (IN) 

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