TEDAS: A Twitter-based Event Detection and Analysis System

@article{Li2012TEDASAT,
  title={TEDAS: A Twitter-based Event Detection and Analysis System},
  author={Rui Li and Kin Hou Lei and Ravi Khadiwala and Kevin Chen-Chuan Chang},
  journal={2012 IEEE 28th International Conference on Data Engineering},
  year={2012},
  pages={1273-1276}
}
Witnessing the emergence of Twitter, we propose a Twitter-based Event Detection and Analysis System (TEDAS), which helps to (1) detect new events, to (2) analyze the spatial and temporal pattern of an event, and to (3) identify importance of events. In this demonstration, we show the overall system architecture, explain in detail the implementation of the components that crawl, classify, and rank tweets and extract location from tweets, and present some interesting results of our system. 
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