Mineração de dados do Untappd e Twitter: usando preferências por cervejas em tomada de decisão e no estudo de diferenças culturais

Abstract

Online social networks, make available vast amounts of data which nowadays is easily obtained for various types of analyses. This study demonstrates the ability of location-based social networks to serve as a basis for decision-making and understanding of regional preferences. Data was collected from Untappd, a social network for beer lovers, through Twitter; this data was used in clustering processes and compared to the possible creation of a Craft Beer Street in Curitiba. It is also demonstrated the potential to explore beer preferences in the study of urban social behavior, particularly related to the automatic identification of cultural aspects, a valuable information that can enable new services.