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Knowledge Extraction from Twitter Towards Infectious Diseases in Spanish

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Technologies and Innovation (CITI 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1309))

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Abstract

Infodemiology consists in the extraction and analysis of data compiled on the Internet regarding public health. Among other applications, Infodemiology can be used to analyse trends on social networks in order to determine the prevalence of outbreaks of infectious diseases in certain regions. This valuable data provides better understanding of the spread of infectious diseases as well as a vision about social perception of citizens towards the strategies carried out by public healthcare institutions. In this work, we apply Natural Language Processing techniques to determine the impact of outbreaks of infectious diseases such as Zika, Dengue or Chikungunya from a compiled dataset with tweets written in Spanish.

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Acknowledgements

This work has been supported by the Spanish National Research Agency (AEI) and the European Regional Development Fund (FEDER/ERDF) through projects KBS4FIA (TIN2016-76323-R) and LaTe4PSP (PID2019-107652RB-I00). In addition, José Antonio García-Díaz has been supported by Banco Santander and University of Murcia through the Doctorado industrial programme.

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Authors and Affiliations

  1. Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Cdla. Universitaria Salvador Allende, Guayaquil, 090514, Ecuador

    Óscar Apolinario-Arzube & Harry Luna-Aveiga

  2. Facultad de Informática, Universidad de Murcia, Campus de Espinardo, 30100, Murcia, Spain

    José Antonio García-Díaz & Rafael Valencia-García

  3. Facultad de Ciencias Agrarias, Universidad Agraria del Ecuador, Av. 25 de Julio, Guayaquil, Ecuador

    José Medina-Moreira

Authors
  1. Óscar Apolinario-Arzube
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  2. José Antonio García-Díaz
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  3. Harry Luna-Aveiga
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  4. José Medina-Moreira
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  5. Rafael Valencia-García
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Corresponding author

Correspondence to Rafael Valencia-García .

Editor information

Editors and Affiliations

  1. Universidad de Murcia, Espinardo, Murcia, Spain

    Rafael Valencia-García

  2. Universidad de Castilla la Mancha, Toledo, Toledo, Spain

    Gema Alcaraz-Marmol

  3. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier Del Cioppo-Morstadt

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Néstor Vera-Lucio

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Martha Bucaram-Leverone

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Apolinario-Arzube, Ó., García-Díaz, J.A., Luna-Aveiga, H., Medina-Moreira, J., Valencia-García, R. (2020). Knowledge Extraction from Twitter Towards Infectious Diseases in Spanish. In: Valencia-García, R., Alcaraz-Marmol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2020. Communications in Computer and Information Science, vol 1309. Springer, Cham. https://doi.org/10.1007/978-3-030-62015-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-62015-8_4

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