Ponencia
Analysing Food-Porn Images for Users’ Engagement in the Food Business
Autor/es | Casales García, Vicente
Falomir, Zoe Museros, Lledó Sanz, Ismael Llidó, D.M. González Abril, Luis |
Coordinador/Director | Cortés, Atia
Grimaldo, Francisco Flaminio, Tommaso |
Departamento | Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2022 |
Fecha de depósito | 2023-09-01 |
Publicado en |
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ISBN/ISSN | 978-1-64368-326-3 (impreso) 978-1-64368-327-0 (electrónico) |
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 colour ... 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 |
Agencias financiadoras | Ministerio de Universidades Ministerio de Ciencia e Innovación Ministerio de Ciencia, Innovación y Universidades (MICINN). España |
Identificador del proyecto | FPU 17/00014
PDC2021-121097-I00 RYC2019-027177-I AEI10.13039/501100011033 PGC2018-102145-B-C21 |
Cita | Casales García, V., Falomir, Z., Museros, L., Sanz, I., Llidó, D.M. y González Abril, L. (2022). Analysing Food-Porn Images for Users’ Engagement in the Food Business. En Artificial Intelligence Research and Development (67-70). IOS Press. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Analysing_Food_Porn_Images.pdf | 205.2Kb | [PDF] | Ver/ | |