Twevent: segment-based event detection from tweets
Proceedings of the 21st ACM international conference on Information and knowledge management
Detection and extracting of emergency knowledge from twitter streams
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Geo-spatial event detection in the twitter stream
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Proceedings of the 22nd international conference on World Wide Web companion
Building a large-scale corpus for evaluating event detection on twitter
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Evidential location estimation for events detected in Twitter
Proceedings of the 7th Workshop on Geographic Information Retrieval
Towards social data platform: automatic topic-focused monitor for twitter stream
Proceedings of the VLDB Endowment
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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.