Abstract
Citizens are shaping their food preferences and expressing their food experiences on a daily basis reflecting their way of living, culture and well-being . In this paper, we focus on food perceptions and experiences in the context of smart citizen and tourist sensing. We analyze Foursquare user reviews about food-related points of interest in ten European cities, and we explore the imprint of a city as it is shaped based on the spatial distribution of food-related topics and sentiments. The topic modelling and sentiment analysis results are visualized using geo-referenced heat maps that enrich the cities maps with information that allows for a more insightful navigation across their different geographical regions providing insights not available in the original data.
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We used a specific bounding box for each city.
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Research presented in this paper is funded by the CAPSELLA (688813—CAPSELLA—H2020-ICT-2015) project.
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Pontiki, M. et al. (2017). Smart Cities in Stars: Food Perceptions and Beyond. In: Kompatsiaris, I., et al. Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10673. Springer, Cham. https://doi.org/10.1007/978-3-319-70284-1_14
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DOI: https://doi.org/10.1007/978-3-319-70284-1_14
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