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Twitter Event Detection in a City

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Information Management and Big Data (SIMBig 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 898))

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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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Notes

  1. 1.

    https://cloud.google.com/vision.

  2. 2.

    https://catalogodatos.gub.uy/dataset/reclamos-registrados-en-el-sistema-unico-de-reclamos-sur-de-la-intendencia-de-montevideo.

  3. 3.

    http://www.sepln.org/workshops/tass/2015/tass2015.php#corpus.

  4. 4.

    http://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html.

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Authors and Affiliations

  1. Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay

    Martín Steglich, Raúl Speroni & Juan José Prada

Authors
  1. Martín Steglich
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  2. Raúl Speroni
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  3. Juan José Prada
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Corresponding author

Correspondence to Martín Steglich .

Editor information

Editors and Affiliations

  1. Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA

    Juan Antonio Lossio-Ventura

  2. Fondazione Bruno Kessler, Trento, Italy

    Denisse Muñante

  3. Facultad de Ingeniería, University of the Pacific, Jesús María, Lima, Peru

    Hugo Alatrista-Salas

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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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  • DOI: https://doi.org/10.1007/978-3-030-11680-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11679-8

  • Online ISBN: 978-3-030-11680-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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