Analysing Food-Porn Images for Users’ Engagement in the Food Business
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Casales-Garcia, Vicente; Falomir, Zoe; Museros, Lledó; Sanz, Ismael; Llidó Escrivá, Dolores María; González Abril, L.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Analysing Food-Porn Images for Users’ Engagement in the Food BusinessAutoría
Fecha de publicación
2022Editor
IOS PressISSN
9781643683263; 9781643683270Cita bibliográfica
CASALES GARCÍA, V. et al. Analysing Food-Porn Images for Users’ Engagement in the Food Business. En Artificial Intelligence Research and Development A. Cortés et al. (Eds.). IOS Press, 2022. p. 67-70.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://ebooks.iospress.nl/volumearticle/61222Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
This paper presents an approach for analysing food-porn images and
their related comments published by the cooking school Getcookingcanada Instagram account. Our approach processes the published images to extract ... [+]
This paper presents an approach for analysing food-porn images and
their related comments published by the cooking school Getcookingcanada Instagram account. Our approach processes the published images to extract colour parameters, counts the number of likes, and also analyses the comments related to
each publication. A dataset containing all these was built, and methods were applied to study correlations among the data: a regression analysis, an ANOVA and a
sentiment analysis of the comments on the dataset to explain the relation between
the quantity of likes and the sentiment obtained from the food images. Our results
show a correlation between the number of likes and the sentiment analysis of the
comments. Images that evoke a positive sentiment have a higher number of likes
and comments. Users’ experience on creating posts is also analysed and confirms a
positive correlation between the number of likes and the publisher’s experience. [-]
Descripción
Ponència presentada a 24th International Conference of the Catalan Association for Artificial Intelligence, celebrada a Barcelona en 2022.
Publicado en
Frontiers in Artificial Intelligence and Applications, Vol. 356, 2022.Entidad financiadora
Agencia Estatal de Investigación | Universitat Jaume I
Código del proyecto o subvención
FPU 17/00014 | PDC2021-121097-I00 | RYC2019-027177-I / AEI / 10.13039/501100011033 | UJIB2020-15 | PGC2018-102145-B-C21
Derechos de acceso
info:eu-repo/semantics/openAccess
Aparece en las colecciones
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2022 The authors and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms
of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
doi:10.3233/FAIA220316