Spanish Twitter data used as a source of information about consumer food choice

Luis G. Moreno-Sandoval; Carolina Sánchez-Barriga; Katherine Espíndola Buitrago; Alexandra Pomares-Quimbaya; Juan Carlos Garcia

doi:10.1007/978-3-319-99740-7_9

Spanish Twitter data used as a source of information about consumer food choice

Luis G. Moreno-Sandoval, Carolina Sánchez-Barriga, Katherine Espíndola Buitrago, Alexandra Pomares-Quimbaya, Juan Carlos Garcia

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

9 Citas (Scopus)

Resumen

Food related consumer behavior is a topic of major interest to areas such as health and marketing. Social media offers a scenario in which people share information about preferences, interests and motivations about eating habits and food products that have not been exploded as appropriate. In this work we present an algorithm to exploit the potential of Twitter as a data gathering platform to provide insight about behavior of consumers, by linking the food-related content, including emoji’s expressed by Twitter users, to their demographic profile (age, gender, socioeconomic level). We further link this data to dietary choices expressed in different moments of their daily life. We found out that including Spanish Twitter data analysis, like the one presented in this work, into marketing researchers tools, could be very useful to advance in customer-centric strategies.

Idioma original	Inglés
Título de la publicación alojada	Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings
Editores	Peter Kieseberg, Edgar Weippl, Andreas Holzinger, A Min Tjoa
Editorial	Springer Verlag
Páginas	134-146
Número de páginas	13
ISBN (versión impresa)	9783319997391
DOI	https://doi.org/10.1007/978-3-319-99740-7_9
Estado	Publicada - 2018
Evento	2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018 - Hamburg, Alemania Duración: 27 ago. 2018 → 30 ago. 2018

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	11015 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018
País/Territorio	Alemania
Ciudad	Hamburg
Período	27/08/18 → 30/08/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1007/978-3-319-99740-7_9

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Moreno-Sandoval, L. G., Sánchez-Barriga, C., Buitrago, K. E., Pomares-Quimbaya, A., & Garcia, J. C. (2018). Spanish Twitter data used as a source of information about consumer food choice. En P. Kieseberg, E. Weippl, A. Holzinger, & A. M. Tjoa (Eds.), Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings (pp. 134-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11015 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-99740-7_9

Moreno-Sandoval, Luis G. ; Sánchez-Barriga, Carolina ; Buitrago, Katherine Espíndola et al. / Spanish Twitter data used as a source of information about consumer food choice. Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings. editor / Peter Kieseberg ; Edgar Weippl ; Andreas Holzinger ; A Min Tjoa. Springer Verlag, 2018. pp. 134-146 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{accbfea804d842bb8e75a36c1b9daf95,

title = "Spanish Twitter data used as a source of information about consumer food choice",

abstract = "Food related consumer behavior is a topic of major interest to areas such as health and marketing. Social media offers a scenario in which people share information about preferences, interests and motivations about eating habits and food products that have not been exploded as appropriate. In this work we present an algorithm to exploit the potential of Twitter as a data gathering platform to provide insight about behavior of consumers, by linking the food-related content, including emoji{\textquoteright}s expressed by Twitter users, to their demographic profile (age, gender, socioeconomic level). We further link this data to dietary choices expressed in different moments of their daily life. We found out that including Spanish Twitter data analysis, like the one presented in this work, into marketing researchers tools, could be very useful to advance in customer-centric strategies.",

keywords = "Consumer behavior, Food analysis, Social media, Social networks, Twitter",

author = "Moreno-Sandoval, {Luis G.} and Carolina S{\'a}nchez-Barriga and Buitrago, {Katherine Esp{\'i}ndola} and Alexandra Pomares-Quimbaya and Garcia, {Juan Carlos}",

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Moreno-Sandoval, LG, Sánchez-Barriga, C, Buitrago, KE, Pomares-Quimbaya, A & Garcia, JC 2018, Spanish Twitter data used as a source of information about consumer food choice. En P Kieseberg, E Weippl, A Holzinger & AM Tjoa (eds.), Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11015 LNCS, Springer Verlag, pp. 134-146, 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, Hamburg, Alemania, 27/08/18. https://doi.org/10.1007/978-3-319-99740-7_9

Spanish Twitter data used as a source of information about consumer food choice. / Moreno-Sandoval, Luis G.; Sánchez-Barriga, Carolina; Buitrago, Katherine Espíndola et al.
Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings. ed. / Peter Kieseberg; Edgar Weippl; Andreas Holzinger; A Min Tjoa. Springer Verlag, 2018. p. 134-146 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11015 LNCS).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Spanish Twitter data used as a source of information about consumer food choice

AU - Moreno-Sandoval, Luis G.

AU - Sánchez-Barriga, Carolina

AU - Buitrago, Katherine Espíndola

AU - Pomares-Quimbaya, Alexandra

AU - Garcia, Juan Carlos

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2018.

PY - 2018

Y1 - 2018

N2 - Food related consumer behavior is a topic of major interest to areas such as health and marketing. Social media offers a scenario in which people share information about preferences, interests and motivations about eating habits and food products that have not been exploded as appropriate. In this work we present an algorithm to exploit the potential of Twitter as a data gathering platform to provide insight about behavior of consumers, by linking the food-related content, including emoji’s expressed by Twitter users, to their demographic profile (age, gender, socioeconomic level). We further link this data to dietary choices expressed in different moments of their daily life. We found out that including Spanish Twitter data analysis, like the one presented in this work, into marketing researchers tools, could be very useful to advance in customer-centric strategies.

AB - Food related consumer behavior is a topic of major interest to areas such as health and marketing. Social media offers a scenario in which people share information about preferences, interests and motivations about eating habits and food products that have not been exploded as appropriate. In this work we present an algorithm to exploit the potential of Twitter as a data gathering platform to provide insight about behavior of consumers, by linking the food-related content, including emoji’s expressed by Twitter users, to their demographic profile (age, gender, socioeconomic level). We further link this data to dietary choices expressed in different moments of their daily life. We found out that including Spanish Twitter data analysis, like the one presented in this work, into marketing researchers tools, could be very useful to advance in customer-centric strategies.

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KW - Social media

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings

A2 - Kieseberg, Peter

A2 - Weippl, Edgar

A2 - Holzinger, Andreas

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PB - Springer Verlag

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Moreno-Sandoval LG, Sánchez-Barriga C, Buitrago KE, Pomares-Quimbaya A, Garcia JC. Spanish Twitter data used as a source of information about consumer food choice. En Kieseberg P, Weippl E, Holzinger A, Tjoa AM, editores, Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings. Springer Verlag. 2018. p. 134-146. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-99740-7_9

Spanish Twitter data used as a source of information about consumer food choice

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