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International Conference on Human-Computer Interaction

HCII 2020: HCI International 2020 - Posters pp 676–682Cite as

Searching for Onomatopoeia Based on Sound Similarity by Employing User Reviews

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1224))

Abstract

Onomatopoeia is a word or phrase that imitates or suggests the sound it describes, such as “buzz” or “sizzle.” It is often used to express the taste and texture of food in Japan and is thus often used in food advertising. The purpose this study was to construct a system that searches for the onomatopoeia that best expresses a given product. Important characteristics and sound similarities in onomatopoeia components of user product reviews are identified by this system. Such reviews contain helpful user opinions for improving the product. Accordingly, it is important to select the onomatopoeia that best conveys to the consumer the product essence and texture. Use of the optimal onomatopoeia can help make advertisements succinct and effective.

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References

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

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

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  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)

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Systems Engineering, Aoyama Gakuin University, Shibuya City, Japan

    Ryuta Yamada, Takashi Ito & Syohei Ishizu

Authors
  1. Ryuta Yamada
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  2. Takashi Ito
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  3. Syohei Ishizu
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Corresponding author

Correspondence to Ryuta Yamada .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

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Cite this paper

Yamada, R., Ito, T., Ishizu, S. (2020). Searching for Onomatopoeia Based on Sound Similarity by Employing User Reviews. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-50726-8_88

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  • DOI: https://doi.org/10.1007/978-3-030-50726-8_88

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50725-1

  • Online ISBN: 978-3-030-50726-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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