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Paper Abstract and Keywords
Presentation 2014-06-15 11:05
Using text mining techniques to analyze free answer questions
Yinjun Hu, Yasuo Tanida (Synergy Marketing) NLC2014-14
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a method for free answer classi cation and summarization by using text mining techniques. For the complicated free answer text in syntax, we proposed using the centrality of word roles in sentence to enhance the weight of words which are important for the sentence and answer. We also tried to improve the performance of clustering result by using a thesaurus, spelling normalization and Levenshtein distance. An experimental result shows that the proposal is effective to classify free answer text although further improvement in semantic area is aspired.
Keyword (in Japanese) (See Japanese page) 
(in English) free answer / questionnaire / text mining / chunk / word centrality / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 81, NLC2014-14, pp. 75-79, June 2014.
Paper # NLC2014-14 
Date of Issue 2014-06-07 (NLC) 
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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLC2014-14

Conference Information
Committee NLC  
Conference Date 2014-06-14 - 2014-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLC 
Conference Code 2014-06-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Using text mining techniques to analyze free answer questions 
Sub Title (in English)  
Keyword(1) free answer  
Keyword(2) questionnaire  
Keyword(3) text mining  
Keyword(4) chunk  
Keyword(5) word centrality  
1st Author's Name Yinjun Hu  
1st Author's Affiliation Synergy Marketing, Inc. (Synergy Marketing)
2nd Author's Name Yasuo Tanida  
2nd Author's Affiliation Synergy Marketing, Inc. (Synergy Marketing)
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Date Time 2014-06-15 11:05:00 
Presentation Time 25 
Registration for NLC 
Paper # IEICE-NLC2014-14 
Volume (vol) IEICE-114 
Number (no) no.81 
Page pp.75-79 
#Pages IEICE-5 
Date of Issue IEICE-NLC-2014-06-07 

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