Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams
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.
KeywordsEvent Detection Discrete Fourier Transform Brand Perception Event Detection Module Newsworthy Event
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