Joint European Conference on Machine Learning and Knowledge Discovery in Databases

ECML PKDD 2015: Machine Learning and Knowledge Discovery in Databases pp 276-280 | Cite as

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams

  • Pierre Houdyer
  • Albrecht Zimmerman
  • Mehdi Kaytoue
  • Marc Plantevit
  • Joseph Mitchell
  • Céline Robardet
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9286)

Abstract

We present Gazouille, a system for discovering local events in geo-localized social media streams. The system is based on three core modules: (i) social networks data acquisition on several urban areas, (ii) event detection through time series analysis, and (iii) a Web user interface to present events discovered in real-time in a city, associated to a gallery of social media that characterize the event.

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References

  1. 1.
    He, Q., Chang, K., Lim, E.: Analyzing feature trajectories for event detection. In: SIGIR 2007, pp. 207–214. ACM (2007)Google Scholar
  2. 2.
    Symeonidis, P., Ntempos, D., Manolopoulos, Y.: Location-based social networks. Recommender Systems for Location-based Social Networks. Springer Briefs in Electrical and Computer Engineering, pp. 35–48. Springer, New York (2014)Google Scholar
  3. 3.
    Xia, C., Schwartz, R., Xie, K.E., Krebs, A., Langdon, A., Ting, J., Naaman, M.: Citybeat: real-time social media visualization of hyper-local city data. In: WWW 2014, Companion Volume, pp. 167–170. ACM (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Pierre Houdyer
    • 1
  • Albrecht Zimmerman
    • 2
  • Mehdi Kaytoue
    • 2
  • Marc Plantevit
    • 3
  • Joseph Mitchell
    • 1
  • Céline Robardet
    • 2
  1. 1.Tapastreet Ltd.DublinIreland
  2. 2.INSA-Lyon, CNRS, LIRIS UMR5205LyonFrance
  3. 3.Université Lyon 1, CNRS, LIRIS UMR5205LyonFrance

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