TEDAS: A twitter-based event detection and analysis system

Rui Li, Kin Hou Lei, Ravi Khadiwala, Kevin Chen-Chuan Chang

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish (US)
Article number6228186
Pages (from-to)1273-1276
Number of pages4
JournalProceedings - International Conference on Data Engineering
StatePublished - 2012
EventIEEE 28th International Conference on Data Engineering, ICDE 2012 - Arlington, VA, United States
Duration: Apr 1 2012Apr 5 2012

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems


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