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| Presentation | 2023-09-07 10:20 An Investigation of Suggested Keywords Generation Method for Search Behavior Analysis Using Large-Scale Language Model Yumeto Inaoka (Faber Company), Mitsuo Yoshida (Univ. Tsukuba)  NLC2023-9 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In content marketing, it is vital to produce beneficial content that fits with customer needs by utilizing the knowledge available in search engines. This paper focuses on suggested keywords and investigate a method for generating these keywords using a large-scale language model. The model was fine-tuned and evaluated using suggested keywords obtained from search engines. Automatic evaluation results showed that the generated suggested keywords had low similarity with the test data. In the manual evaluation, it was confirmed that approximately 70% of the outputs have equal or higher utility for search behavior analysis compared to search engines. It demonstrates the effectiveness of the approach. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Large-Scale Language Model / Keyword Suggestion / Autocomplete / Search Behavior Analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 176, NLC2023-9, pp. 47-50, Sept. 2023. | |
| Paper # | NLC2023-9 | |
| Date of Issue | 2023-08-30 (NLC) | |
| 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 | NLC2023-9 |
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| Conference Information | |
| Committee | NLC |
| Conference Date | 2023-09-06 - 2023-09-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka Metropolitan University. Nakamozu Campus. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 20th Text Analytics Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2023-09-NLC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Investigation of Suggested Keywords Generation Method for Search Behavior Analysis Using Large-Scale Language Model |
| Sub Title (in English) | |
| Keyword(1) | Large-Scale Language Model |
| Keyword(2) | Keyword Suggestion |
| Keyword(3) | Autocomplete |
| Keyword(4) | Search Behavior Analysis |
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| 1st Author's Name | Yumeto Inaoka |
| 1st Author's Affiliation | Faber Company Inc. (Faber Company) |
| 2nd Author's Name | Mitsuo Yoshida |
| 2nd Author's Affiliation | University of Tsukuba (Univ. Tsukuba) |
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| Speaker | Author-1 |
| Date Time | 2023-09-07 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2023-9 |
| Volume (vol) | vol.123 |
| Number (no) | no.176 |
| Page | pp.47-50 |
| #Pages | 4 |
| Date of Issue | 2023-08-30 (NLC) |
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