IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0289368.html
   My bibliography  Save this article

A new systematic collection and classification of odour words by using a product review dataset

Author

Listed:
  • Naoya Zushi
  • Genki Takeuchi
  • Midori Ogawa
  • Naomi Gotow
  • Hideki Kakeya
  • Tatsu Koabayakawa
  • Saho Ayabe-Kanamura

Abstract

The odours encountered on a daily basis are dependent on an individual’s society and culture. Therefore, when conducting olfactory tests, the odour stimuli utilized must be appropriate for the individual’s environment. In this study, we gathered and classified the odours experienced by Japanese individuals in their daily lives through a large dataset of product reviews encompassing food and household items. Specifically, we performed morphological analysis on product review sentences in Japanese that contained odour descriptions, and we compiled the nouns used to describe odours. A total of 617,208 sentences that reviewed odour experiences and their corresponding nouns were collected. The top 100 frequently used odour nouns were classified into 15 clusters according to the context in which they were used. The methodology employed in collecting and classifying odour nouns as presented in this study can be utilized in other situations. It can assist in selecting appropriate odour stimuli for the olfactory test based on the society, culture, and time period.

Suggested Citation

  • Naoya Zushi & Genki Takeuchi & Midori Ogawa & Naomi Gotow & Hideki Kakeya & Tatsu Koabayakawa & Saho Ayabe-Kanamura, 2023. "A new systematic collection and classification of odour words by using a product review dataset," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-10, August.
    • Handle: RePEc:plo:pone00:0289368
    DOI: 10.1371/journal.pone.0289368
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0289368
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0289368&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0289368?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0289368. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.