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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

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’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.

Original language	English
Title of host publication	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
Editors	Peter Kieseberg, Edgar Weippl, Andreas Holzinger, A Min Tjoa
Publisher	Springer Verlag
Pages	134-146
Number of pages	13
ISBN (Print)	9783319997391
DOIs	https://doi.org/10.1007/978-3-319-99740-7_9
State	Published - 2018
Event	2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018 - Hamburg, Germany Duration: 27 Aug 2018 → 30 Aug 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11015 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018
Country/Territory	Germany
City	Hamburg
Period	27/08/18 → 30/08/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

Consumer behavior
Food analysis
Social media
Social networks
Twitter

Access to Document

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

Cite this

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. In 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,

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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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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "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",

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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. in 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, Germany, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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.

KW - Consumer behavior

KW - Food analysis

KW - Social media

KW - Social networks

KW - Twitter

UR - https://www.scopus.com/pages/publications/85053210883

U2 - 10.1007/978-3-319-99740-7_9

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

M3 - Conference contribution

AN - SCOPUS:85053210883

SN - 9783319997391

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

SP - 134

EP - 146

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

A2 - Tjoa, A Min

PB - Springer Verlag

T2 - 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018

Y2 - 27 August 2018 through 30 August 2018

ER -

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. In Kieseberg P, Weippl E, Holzinger A, Tjoa AM, editors, 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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