Searching for Onomatopoeia Based on Sound Similarity by Employing User Reviews-Reference-Cited by-同舟云学术

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Searching for Onomatopoeia Based on Sound Similarity by Employing User Reviews

Published:2020 Issue: Volume: Page:676-682
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Yamada Ryuta,Ito Takashi,Ishizu Syohei

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-50726-8_88

Reference3 articles.

1. Miyakawa S., Saitoh F., Ishizu S.: A method for creating a quality table from online reviews. In: ISQFD (2017)

2. Torizuka, K., Oi, H., Saitho, F., Ishizu, S.: Benefit segmentation of online customer reviews using random forest. IEEE IEEM 2018, 1–5 (2018)

3. Hasegawa, E., Komiya, K., Saitoh, F., Ishizu, S.: A method of factor extraction of sizzle words based on language resources. Trans. JSKE 17(2), 299–308 (2018). (in Japanese)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Onomatopoeia Search System Focused on Attributes Based on Sensibility and Various Sounds;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2021-12-13

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