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Paper Abstract and Keywords
Presentation 2017-12-23 11:25
Relationship between SNS users' posting activities and their interests
Bin Du, Wenbo Su, Mizuho Iwaihara (Waseda U.) DE2017-34
Abstract (in Japanese) (See Japanese page) 
(in English) Users from the entire world interact with others, share feelings and do various activities on SNSs. Such activities of users potentially have strong relationships with their interests and preferences. In this paper, we investigate relationship between public posting activities, online behaviors of users and their belonging interest groups, to identify representative user types, and compare distribution of these user types in each interest group. Public posts of users in several Facebook interest groups have been collected, and linguistic features such as the length of each post have been extracted. The polarity and the subjectivity of posts have been obtained through sentiment analysis. Combined with activity features of these users, post-level clustering and user-level clustering are carried out by several clustering algorithms, and six user types representing these clusters are identified. We observe that distribution of these user types is distinctively different between interest groups, and this fact is useful for predicting users’ interests.
Keyword (in Japanese) (See Japanese page) 
(in English) sentiment analysis / clustering / user categorization / user profiling / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 374, DE2017-34, pp. 73-78, Dec. 2017.
Paper # DE2017-34 
Date of Issue 2017-12-15 (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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Conference Information
Committee DE CEA IPSJ-DBS  
Conference Date 2017-12-22 - 2017-12-23 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Informatics 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DE 
Conference Code 2017-12-DE-CEA-DBS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Relationship between SNS users' posting activities and their interests 
Sub Title (in English)  
Keyword(1) sentiment analysis  
Keyword(2) clustering  
Keyword(3) user categorization  
Keyword(4) user profiling  
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1st Author's Name Bin Du  
1st Author's Affiliation Waseda University (Waseda U.)
2nd Author's Name Wenbo Su  
2nd Author's Affiliation Waseda University (Waseda U.)
3rd Author's Name Mizuho Iwaihara  
3rd Author's Affiliation Waseda University (Waseda U.)
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Speaker Author-1 
Date Time 2017-12-23 11:25:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2017-34 
Volume (vol) vol.117 
Number (no) no.374 
Page pp.73-78 
#Pages
Date of Issue 2017-12-15 (DE) 


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