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Transportation in Social Media: An Automatic Classifier for Travel-Related Tweets

  • João PereiraEmail author
  • Arian Pasquali
  • Pedro Saleiro
  • Rosaldo Rossetti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10423)

Abstract

In the last years researchers in the field of intelligent transportation systems have made several efforts to extract valuable information from social media streams. However, collecting domain-specific data from any social media is a challenging task demanding appropriate and robust classification methods. In this work we focus on exploring geo-located tweets in order to create a travel-related tweet classifier using a combination of bag-of-words and word embeddings. The resulting classification makes possible the identification of interesting spatio-temporal relations in São Paulo and Rio de Janeiro.

Keywords

Geo-located Twitter Transportation Text classification 

Notes

Acknowledgements

This work was partially supported by Project “TEC4Growth - Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020”.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • João Pereira
    • 1
    • 2
    Email author
  • Arian Pasquali
    • 3
  • Pedro Saleiro
    • 1
    • 2
  • Rosaldo Rossetti
    • 1
    • 2
  1. 1.FEUPUniversidade do PortoPortoPortugal
  2. 2.LIACCUniversidade do PortoPortoPortugal
  3. 3.INESC TECUniversidade do PortoPortoPortugal

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