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Paper Abstract and Keywords
Presentation 2009-05-22 11:30
Latent Variable Model Focusing on Documents' Topics And Authors' Interests
Noriaki Kawamae, Takeshi Yamada (NTT) AI2009-4
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a statistical model that captures not only the low-dimensional set of multinomial distributions over words,
but also how this structure is consisted of topics, document classes and author interests.
Unlike other recent work that includes authors into the latent variable model, here the interest is represented as a latent variable having a probability distribution over topics and can be shared with authors who prefer a set of similar topics. So, this model represents each document as a mixture of topics, where the mixture proportion is sampled from this interest class.
%Our goal is to capture word correlations, topic correlations and interest correlations in a collection of textual documents.
Experiments using a dataset of research papers shows that the proposed model can capture these interests, thus performs dimensionality reduction of documents to a low-dimensional interest-topic space, and is useful as a generative model.
Keyword (in Japanese) (See Japanese page) 
(in English) latent variable model / clustering / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 51, AI2009-4, pp. 19-24, May 2009.
Paper # AI2009-4 
Date of Issue 2009-05-15 (AI) 
ISSN Print edition: ISSN 0913-5685  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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2009-4

Conference Information
Committee AI  
Conference Date 2009-05-22 - 2009-05-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2009-05-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Latent Variable Model Focusing on Documents' Topics And Authors' Interests 
Sub Title (in English)  
Keyword(1) latent variable model  
Keyword(2) clustering  
1st Author's Name Noriaki Kawamae  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Takeshi Yamada  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Date Time 2009-05-22 11:30:00 
Presentation Time 30 
Registration for AI 
Paper # IEICE-AI2009-4 
Volume (vol) IEICE-109 
Number (no) no.51 
Page pp.19-24 
#Pages IEICE-6 
Date of Issue IEICE-AI-2009-05-15 

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