Gazouille: Detecting and illustrating local events from geolocalized social media streams

Pierre Houdyer; Albrecht Zimmerman; Mehdi Kaytoue; Marc Plantevit; Joseph Mitchell; Céline Robardet

Conference ProceedingsOPEN ACCESS

Gazouille: Detecting and illustrating local events from geolocalized social media streams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) 9286 276-280

DOI: 10.1007/978-3-319-23461-8_29

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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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Houdyer, P., Zimmerman, A., Kaytoue, M., Plantevit, M., Mitchell, J., & Robardet, C. (2015). Gazouille: Detecting and illustrating local events from geolocalized social media streams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9286, pp. 276–280). Springer Verlag. https://doi.org/10.1007/978-3-319-23461-8_29

Gazouille: Detecting and illustrating local events from geolocalized social media streams

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