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 - http://www.scopus.com/inward/record.url?scp=85053210883&partnerID=8YFLogxK
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 -
