Abstract
Large cities and metropolitan areas are complex systems with connections between their environments and individuals. Citizens express themselves daily about events related to the city on the Internet. This information has great value due to its freshness, diversity of points of view and impact on public opinion.
Information technologies allow us to imagine other types of interfaces for communication between people and institutions. Interfaces capable of extracting useful information even if it is not directed to the corresponding institutions.
In this work a framework that combines different techniques for the events extraction in a city from social networks is built. Using the city of Montevideo as a case study and its waste management as a domain, it was possible to correctly identify 94% of the events reported with only 4% false positives.
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Steglich, M., Speroni, R., Prada, J.J. (2019). Twitter Event Detection in a City. In: Lossio-Ventura, J., Muñante, D., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_5
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