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Secrets of Quito: Discovering a city through TripAdvisor

Abstract:

People generate online content everyday at every hour at social networks. Social networks are a medium in which people can give their opinion on different topics and obtain new information. The content people create can be useful for researchers to understand human behavior in cities such as Quito. In this work, we are going to describe how Quito city is described on the travel network TripAdvisor by users based on geo referenced and lexical information. To describe this, we are going to combine a clustering algorithm(k-means) and a numerical statistic for information retrieval (TF-IDF). The results are later compared to information the municipality obtained from field studies to determine if they have similar behaviors.