Smart Cities In Stars: Food Perceptions And Beyond

INTERNET SCIENCE(2017)

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摘要
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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关键词
Urban sensing, Food experiences, Topic modelling, Sentiment analysis
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