Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content

This paper presents an approach for analysing gastronomic images and also their related comments published by the Getcookingcanada Instagram account, which belongs to a cooking school. Our approach processes the published images to calculate the moods that the image can generate depending on its col...

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Detalhes bibliográficos
Autores: Casales García, Vicente, Sanz, I., Museros, Lledó, Falomir, Zoe, González Abril, Luis
Formato: capítulo de livro
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/180057
Acesso em linha:https://hdl.handle.net/11441/180057
https://doi.org/10.3233/FAIA230700
Access Level:acceso abierto
Palavra-chave:Sentiment analysis
Gastronomy
Instagram
Social media
Image processing
Colour palette
Natural language processing
Tourism
Regression
ANOVA
Deep learning
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spelling Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative ContentCasales García, VicenteSanz, I.Museros, LledóFalomir, ZoeGonzález Abril, LuisSentiment analysisGastronomyInstagramSocial mediaImage processingColour paletteNatural language processingTourismRegressionANOVADeep learningThis paper presents an approach for analysing gastronomic images and also their related comments published by the Getcookingcanada Instagram account, which belongs to a cooking school. Our approach processes the published images to calculate the moods that the image can generate depending on its colour palette, and also analyses the comments related to each publication for determining the positive or negative sentiment associated to them. A dataset containing all these data has been built, and then the correlations among the data has been developed in order to explain the relation between the mood adjectives and the result of the sentiment analysis of the comments of the food images. 673 food images were analysed; the data analysis was carried out using the Kruskal-Wallis one-way ANOVA test on ranks and Jonckheere-Terpstra’s test. Our results show that there is a significant difference between the different adjectives in terms of sentiment analysis.IOS PressEconomía Aplicada IMinisterio de Ciencia, Innovación y UniversidadesMinisterio de Economía y Comercio2023info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/180057https://doi.org/10.3233/FAIA230700reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésProceedings of the 25th International Conference of the Catalan Association for Artificial IntelligencePDC2021-121097-I00TIN2016-88835-RETPGC2018-102145-B-C21https://doi.org/10.3233/FAIA230700Amsterdaminfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/1800572026-06-17T12:51:07Z
dc.title.none.fl_str_mv Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
title Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
spellingShingle Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
Casales García, Vicente
Sentiment analysis
Gastronomy
Instagram
Social media
Image processing
Colour palette
Natural language processing
Tourism
Regression
ANOVA
Deep learning
title_short Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
title_full Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
title_fullStr Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
title_full_unstemmed Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
title_sort Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
dc.creator.none.fl_str_mv Casales García, Vicente
Sanz, I.
Museros, Lledó
Falomir, Zoe
González Abril, Luis
author Casales García, Vicente
author_facet Casales García, Vicente
Sanz, I.
Museros, Lledó
Falomir, Zoe
González Abril, Luis
author_role author
author2 Sanz, I.
Museros, Lledó
Falomir, Zoe
González Abril, Luis
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Economía Aplicada I
Ministerio de Ciencia, Innovación y Universidades
Ministerio de Economía y Comercio
dc.subject.none.fl_str_mv Sentiment analysis
Gastronomy
Instagram
Social media
Image processing
Colour palette
Natural language processing
Tourism
Regression
ANOVA
Deep learning
topic Sentiment analysis
Gastronomy
Instagram
Social media
Image processing
Colour palette
Natural language processing
Tourism
Regression
ANOVA
Deep learning
description This paper presents an approach for analysing gastronomic images and also their related comments published by the Getcookingcanada Instagram account, which belongs to a cooking school. Our approach processes the published images to calculate the moods that the image can generate depending on its colour palette, and also analyses the comments related to each publication for determining the positive or negative sentiment associated to them. A dataset containing all these data has been built, and then the correlations among the data has been developed in order to explain the relation between the mood adjectives and the result of the sentiment analysis of the comments of the food images. 673 food images were analysed; the data analysis was carried out using the Kruskal-Wallis one-way ANOVA test on ranks and Jonckheere-Terpstra’s test. Our results show that there is a significant difference between the different adjectives in terms of sentiment analysis.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/180057
https://doi.org/10.3233/FAIA230700
url https://hdl.handle.net/11441/180057
https://doi.org/10.3233/FAIA230700
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence
PDC2021-121097-I00
TIN2016-88835-RET
PGC2018-102145-B-C21
https://doi.org/10.3233/FAIA230700
Amsterdam
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOS Press
publisher.none.fl_str_mv IOS Press
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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