Paper Abstract and Keywords |
Presentation |
2021-12-13 14:15
Comment Extraction for Components for AR-based Product Review Browsing System Shogo Anda, Masato Kikuchi, Tadachika Ozono (NIT) AI2021-8 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, we are developing a system to support review browsing for each component of a product using augmented reality technology. In order to realize this system, it is necessary to collect comments about each component of the product. In this paper, we describe a method that uses BERT (Bidirectional Encoder Representations from Transformers) to extract evaluation attributes such as appearance or durability of a product's component from product reviews. In the evaluation experiments, we show that an average 88% recall rate and 85% Precision rate in our method by data augmentation considering the biased data in the reviews by generating similar reviews. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Augumented Reality / Review Classification / BERT / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 298, AI2021-8, pp. 40-45, Dec. 2021. |
Paper # |
AI2021-8 |
Date of Issue |
2021-12-06 (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) |
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AI2021-8 |
Conference Information |
Committee |
AI |
Conference Date |
2021-12-13 - 2021-12-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Aimattain Hakata station |
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(See Japanese page) |
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Paper Information |
Registration To |
AI |
Conference Code |
2021-12-AI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Comment Extraction for Components for AR-based Product Review Browsing System |
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Augumented Reality |
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Review Classification |
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BERT |
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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) |
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Tadachika Ozono |
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Nagoya Institute of Technology (NIT) |
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Speaker |
Author-1 |
Date Time |
2021-12-13 14:15:00 |
Presentation Time |
25 minutes |
Registration for |
AI |
Paper # |
AI2021-8 |
Volume (vol) |
vol.121 |
Number (no) |
no.298 |
Page |
pp.40-45 |
#Pages |
6 |
Date of Issue |
2021-12-06 (AI) |
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