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Paper Abstract and Keywords
Presentation 2022-07-04 15:40
Developing a Part-Oriented Aspect Term Extractor for Part-Specific Review Classification
Shogo Anda, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-13
Abstract (in Japanese) (See Japanese page) 
(in English) Aspect term extraction is the extraction of terms representing entities and attributes in the target domain of sentiment analysis. We aim to realize sentiment analysis that considers attributes according to part types in product reviews for review classification by product parts. Therefore, we are developing a part-oriented aspect term extraction method to consider the part categories. This paper describes a part-oriented aspect term extraction method using GPT-3 and BERTopic. Our experiments showed that our method could extract 66% of the aspect terms, and topic modeling with text embedding by Sentence-BERT could discover 71% of the attribute type set for each part type.
Keyword (in Japanese) (See Japanese page) 
(in English) Aspect Category Extraction / Aspect Analysis / Review Classification / GPT-3 / BERTopic / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 94, AI2022-13, pp. 66-71, July 2022.
Paper # AI2022-13 
Date of Issue 2022-06-27 (AI) 
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 AI2022-13

Conference Information
Committee AI  
Conference Date 2022-07-04 - 2022-07-04 
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 2022-07-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Developing a Part-Oriented Aspect Term Extractor for Part-Specific Review Classification 
Sub Title (in English)  
Keyword(1) Aspect Category Extraction  
Keyword(2) Aspect Analysis  
Keyword(3) Review Classification  
Keyword(4) GPT-3  
Keyword(5) BERTopic  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shogo Anda  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Masato Kikuchi  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
3rd Author's Name Tadachika Ozono  
3rd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2022-07-04 15:40:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2022-13 
Volume (vol) vol.122 
Number (no) no.94 
Page pp.66-71 
#Pages 6 
Date of Issue 2022-06-27 (AI) 

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