ML Anthology

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

Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet
ECML-PKDD 2015 pp. 276-280
doi:10.1007/978-3-319-23461-8_29 /ecmlpkdd/2015/houdyer2015ecmlpkdd-gazouille/

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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Text

Houdyer et al. "Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015. doi:10.1007/978-3-319-23461-8_29

Markdown

[Houdyer et al. "Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015.](https://mlanthology.org/ecmlpkdd/2015/houdyer2015ecmlpkdd-gazouille/) doi:10.1007/978-3-319-23461-8_29

BibTeX

@inproceedings{houdyer2015ecmlpkdd-gazouille,
  title     = {{Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams}},
  author    = {Houdyer, Pierre and Zimmermann, Albrecht and Kaytoue, Mehdi and Plantevit, Marc and Mitchell, Joseph and Robardet, Céline},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2015},
  pages     = {276-280},
  doi       = {10.1007/978-3-319-23461-8_29},
  url       = {https://mlanthology.org/ecmlpkdd/2015/houdyer2015ecmlpkdd-gazouille/}
}