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Erschienen in:
Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Spanish Twitter Data Used as a Source of Information About Consumer Food Choice

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

Erschienen in: Machine Learning and Knowledge Extraction

Verlag: Springer International Publishing

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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’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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Vorheriges Kapitel Building a Knowledge Based Summarization System for Text Data Mining
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Fußnoten
1
About Twitter’s APIs, https://​help.​twitter.​com/​en/​rules-and-policies/​twitter-api, last access date: 3rd May 2018, we also provide companies, developers, and users with programmatic access to Twitter data through our APIs.
 
2
Python, https://​www.​python.​org/​, last access date: 3rd May 2018, Python is a programming language that lets you work quickly and integrate systems more effectively.
 
3
MongoDB, https://​www.​mongodb.​com/​, last access date: 3rd May 2018, building on the Best of Relational with the Innovations of NoSQL.
 
4
spaCy, https://​spacy.​io/​, last access date: 18th April 2018, spaCy v2.0 Features new neural models for tagging, parsing and entity recognition.
 
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Metadaten
Titel
Spanish Twitter Data Used as a Source of Information About Consumer Food Choice
verfasst von
Luis G. Moreno-Sandoval
Carolina Sánchez-Barriga
Katherine Espíndola Buitrago
Alexandra Pomares-Quimbaya
Juan Carlos Garcia
Copyright-Jahr
2018
Buch
Machine Learning and Knowledge Extraction

Print ISBN: 978-3-319-99739-1

Electronic ISBN: 978-3-319-99740-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-99740-7_9