Analysing Food-Porn Images for Users’ Engagement in the Food Business
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Altres documents de l'autoria: Casales-Garcia, Vicente; Falomir, Zoe; Museros, Lledó; Sanz, Ismael; Llidó Escrivá, Dolores María; González Abril, L.
Metadades
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INVESTIGACIONMetadades
Títol
Analysing Food-Porn Images for Users’ Engagement in the Food BusinessAutoria
Data de publicació
2022Editor
IOS PressISSN
9781643683263; 9781643683270Cita bibliogràfica
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.Tipus de document
info:eu-repo/semantics/conferenceObjectVersió de l'editorial
https://ebooks.iospress.nl/volumearticle/61222Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
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. [-]
Descripció
Ponència presentada a 24th International Conference of the Catalan Association for Artificial Intelligence, celebrada a Barcelona en 2022.
Publicat a
Frontiers in Artificial Intelligence and Applications, Vol. 356, 2022.Entitat finançadora
Agencia Estatal de Investigación | Universitat Jaume I
Codi del projecte o subvenció
FPU 17/00014 | PDC2021-121097-I00 | RYC2019-027177-I / AEI / 10.13039/501100011033 | UJIB2020-15 | PGC2018-102145-B-C21
Drets d'accés
info:eu-repo/semantics/openAccess