IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2017-06-23 13:10
Construction of Life Event Prediction Model using Tendency of Word Occurrence in User's Tweet History
Shun Abe (Osaka Univ.), Masumi Shirakawa (hapicom), Takahiro Hara (Osaka Univ.), Kazushi Ikeda, Keiichiro Hoashi (KDDI Research) DE2017-1
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method for constructing life event prediction models using the tendency of word occurrences in past tweets posted by users who experienced the life events. We conducted experiments for five types of life events, i.e., birth, leaving hospital, getting a job, pregnancy and marriage, and assessed the prediction performance of the proposed method for each life event.
Keyword (in Japanese) (See Japanese page) 
(in English) Twitter / Life event / Event detection / Event prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 108, DE2017-1, pp. 1-6, June 2017.
Paper # DE2017-1 
Date of Issue 2017-06-16 (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)
Download PDF DE2017-1

Conference Information
Committee DE  
Conference Date 2017-06-23 - 2017-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DE 
Conference Code 2017-06-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Construction of Life Event Prediction Model using Tendency of Word Occurrence in User's Tweet History 
Sub Title (in English)  
Keyword(1) Twitter  
Keyword(2) Life event  
Keyword(3) Event detection  
Keyword(4) Event prediction  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shun Abe  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Masumi Shirakawa  
2nd Author's Affiliation hapicom Inc. (hapicom)
3rd Author's Name Takahiro Hara  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Kazushi Ikeda  
4th Author's Affiliation KDDI Research, Intelligent Media Laboratory (KDDI Research)
5th Author's Name Keiichiro Hoashi  
5th Author's Affiliation KDDI Research, Intelligent Media Laboratory (KDDI Research)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2017-06-23 13:10:00 
Presentation Time 30 minutes 
Registration for DE 
Paper # DE2017-1 
Volume (vol) vol.117 
Number (no) no.108 
Page pp.1-6 
#Pages
Date of Issue 2017-06-16 (DE) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan