%0 Conference Proceedings
%T Spanish Twitter Data Used as a Source of Information About Consumer Food Choice
%+ Pontificia Universidad Javeriana (PUJ)
%+ Colombian Center of Excellence and Appropriation on Big Data and Data Analytics (CAOBA)
%A Moreno-Sandoval, Luis, G.
%A Sánchez-Barriga, Carolina
%A Buitrago, Katherine, Espíndola
%A Pomares-Quimbaya, Alexandra
%A Garcia, Juan, Carlos
%Z Part 1: MAKE-Main Track
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
%C Hamburg, Germany
%Y Andreas Holzinger
%Y Peter Kieseberg
%Y A Min Tjoa
%Y Edgar Weippl
%I Springer International Publishing
%3 Machine Learning and Knowledge Extraction
%V LNCS-11015
%P 134-146
%8 2018-08-27
%D 2018
%R 10.1007/978-3-319-99740-7_9
%K Social networks
%K Consumer behavior
%K Twitter
%K Food analysis
%K Social media
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 5
%Z TC 8
%Z TC 12
%Z WG 8.4
%Z WG 8.9
%Z WG 12.9
%2 https://inria.hal.science/hal-02060053/document
%2 https://inria.hal.science/hal-02060053/file/472936_1_En_9_Chapter.pdf
%L hal-02060053
%U https://inria.hal.science/hal-02060053
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-TC8
%~ IFIP-WG8-4
%~ IFIP-WG8-9
%~ IFIP-CD-MAKE
%~ IFIP-WG12-9
%~ IFIP-LNCS-11015