A support platform for event detection using social intelligence

  • Authors:
  • Timothy Baldwin;Paul Cook;Bo Han;Aaron Harwood;Shanika Karunasekera;Masud Moshtaghi

  • Affiliations:
  • The University of Melbourne, Australia;The University of Melbourne, Australia;The University of Melbourne, Australia;The University of Melbourne, Australia;The University of Melbourne, Australia;The University of Melbourne, Australia

  • Venue:
  • EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 2012

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Abstract

This paper describes a system designed to support event detection over Twitter. The system operates by querying the data stream with a user-specified set of keywords, filtering out non-English messages, and probabilistically geolocating each message. The user can dynamically set a probability threshold over the geolocation predictions, and also the time interval to present data for.