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Paper Abstract and Keywords
Presentation 2020-09-02 10:00
A method for clarifying differences between feature distributions of various solutions about topic model
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2020-8
Abstract (in Japanese) (See Japanese page) 
(in English) Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data and images. When parameters
(= solution) of the topic model are obtained by the optimization
algorithm, various solutions are reached due to differences in algorithms, initial values. In a related study, we showed how to visualize the distribution of various solutions. However, since information on specific characteristics is not represented, it is unclear what and how they differ, and thus difficulties remain in using the results. Therefore, in order to select the appropriate solution for the application, we propose a method for identifying the similarities and differences between the solutions by focusing on the feature distribution of the solutions. We show that this makes it possible to discover both typical and unexpected solutions, taking into account the characteristics.
Keyword (in Japanese) (See Japanese page) 
(in English) topic model / diversity of solutions / feature distribution / Jaccard coefficient / similarity between solutions / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 154, PRMU2020-8, pp. 1-6, Sept. 2020.
Paper # PRMU2020-8 
Date of Issue 2020-08-26 (PRMU) 
ISSN 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 PRMU2020-8

Conference Information
Committee PRMU  
Conference Date 2020-09-02 - 2020-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-modal, Cross-modal 
Paper Information
Registration To PRMU 
Conference Code 2020-09-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A method for clarifying differences between feature distributions of various solutions about topic model 
Sub Title (in English)  
Keyword(1) topic model  
Keyword(2) diversity of solutions  
Keyword(3) feature distribution  
Keyword(4) Jaccard coefficient  
Keyword(5) similarity between solutions  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Toshio Uchiyama  
1st Author's Affiliation Hokkaido Information University (HIU)
2nd Author's Name Tsukasa Hokimoto  
2nd Author's Affiliation Hokkaido Information University (HIU)
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Speaker Author-1 
Date Time 2020-09-02 10:00:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-8 
Volume (vol) vol.120 
Number (no) no.154 
Page pp.1-6 
#Pages 6 
Date of Issue 2020-08-26 (PRMU) 

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