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

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 indi...

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Autores principales: Zushi, Naoya, Takeuchi, Genki, Ogawa, Midori, Gotow, Naomi, Kakeya, Hideki, Koabayakawa, Tatsu, Ayabe-Kanamura, Saho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414683/
https://www.ncbi.nlm.nih.gov/pubmed/37561717
http://dx.doi.org/10.1371/journal.pone.0289368
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author Zushi, Naoya
Takeuchi, Genki
Ogawa, Midori
Gotow, Naomi
Kakeya, Hideki
Koabayakawa, Tatsu
Ayabe-Kanamura, Saho
author_facet Zushi, Naoya
Takeuchi, Genki
Ogawa, Midori
Gotow, Naomi
Kakeya, Hideki
Koabayakawa, Tatsu
Ayabe-Kanamura, Saho
author_sort Zushi, Naoya
collection PubMed
description 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.
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spelling pubmed-104146832023-08-11 A new systematic collection and classification of odour words by using a product review dataset Zushi, Naoya Takeuchi, Genki Ogawa, Midori Gotow, Naomi Kakeya, Hideki Koabayakawa, Tatsu Ayabe-Kanamura, Saho PLoS One Research Article 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. Public Library of Science 2023-08-10 /pmc/articles/PMC10414683/ /pubmed/37561717 http://dx.doi.org/10.1371/journal.pone.0289368 Text en © 2023 Zushi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zushi, Naoya
Takeuchi, Genki
Ogawa, Midori
Gotow, Naomi
Kakeya, Hideki
Koabayakawa, Tatsu
Ayabe-Kanamura, Saho
A new systematic collection and classification of odour words by using a product review dataset
title A new systematic collection and classification of odour words by using a product review dataset
title_full A new systematic collection and classification of odour words by using a product review dataset
title_fullStr A new systematic collection and classification of odour words by using a product review dataset
title_full_unstemmed A new systematic collection and classification of odour words by using a product review dataset
title_short A new systematic collection and classification of odour words by using a product review dataset
title_sort new systematic collection and classification of odour words by using a product review dataset
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414683/
https://www.ncbi.nlm.nih.gov/pubmed/37561717
http://dx.doi.org/10.1371/journal.pone.0289368
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