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Paper Abstract and Keywords
Presentation 2018-01-22 13:00
Research on Improvement of Information Platform for Local Tourism by Paragraph Vector Utilizing Diverse Information
Takeshi Tsuchiya, Shihori Aoyagi, Tadashi Miyosawa, Tetsuyasu Yamada, Hiroo Hirose (TUS,Suwa), Hiroaki Sawano (AIT), Keiichi Koyanagi (Waseda University) IN2017-74
Abstract (in Japanese) (See Japanese page) 
(in English) We discuss and propose retrieval manner for local tourism information of Suwa area in Nagano Pref. crawled over the Internet.
It isn't able to expect to sufficient service accuracy by conventional manner based on word frequency, though almost of crawled SNS contents are consisted of several words in these information.
Here are two proposal manner for indicating characteristics of such contents in this paper:
one is using Paragraph Vector manner expressing the relation of words including contents,
another is using word similarity manner comparing word aggregation in contents with query.
These are evaluated comparison with such conventional manner, and its result shows proposal manners have improvement of ability as retrieval service.
We consider that this improvement is attributed to express the characteristics of such SNS contents by proposal manners.
Keyword (in Japanese) (See Japanese page) 
(in English) tourism information / word frequency / SNS / Paragraph Vector / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 397, IN2017-74, pp. 25-30, Jan. 2018.
Paper # IN2017-74 
Date of Issue 2018-01-15 (IN) 
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 IN2017-74

Conference Information
Committee IN  
Conference Date 2018-01-22 - 2018-01-23 
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 2018-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research on Improvement of Information Platform for Local Tourism by Paragraph Vector Utilizing Diverse Information 
Sub Title (in English)  
Keyword(1) tourism information  
Keyword(2) word frequency  
Keyword(3) SNS  
Keyword(4) Paragraph Vector  
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Keyword(6)  
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1st Author's Name Takeshi Tsuchiya  
1st Author's Affiliation Tokyo University of Science,Siwa (TUS,Suwa)
2nd Author's Name Shihori Aoyagi  
2nd Author's Affiliation Tokyo University of Science,Siwa (TUS,Suwa)
3rd Author's Name Tadashi Miyosawa  
3rd Author's Affiliation Tokyo University of Science,Siwa (TUS,Suwa)
4th Author's Name Tetsuyasu Yamada  
4th Author's Affiliation Tokyo University of Science,Siwa (TUS,Suwa)
5th Author's Name Hiroo Hirose  
5th Author's Affiliation Tokyo University of Science,Siwa (TUS,Suwa)
6th Author's Name Hiroaki Sawano  
6th Author's Affiliation Aichi Institute of Technology (AIT)
7th Author's Name Keiichi Koyanagi  
7th Author's Affiliation Waseda University (Waseda University)
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Speaker Author-1 
Date Time 2018-01-22 13:00:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2017-74 
Volume (vol) vol.117 
Number (no) no.397 
Page pp.25-30 
#Pages 6 
Date of Issue 2018-01-15 (IN) 

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