Difference between revisions of "Event detection"
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Latest revision as of 18:42, 30 September 2012
Summary
Event detection is a problem of extracting discrete events usually from a stream of time-stamped information. Approaches usually aim to group documents belonging to the same event into a single cluster.
A similar line of research existed in the Information Retrieval community in the late 90s to early 2000s called Topic Detection and Tracking, but the topic has seen a revival of interest since the mass availability of time-stamped social data such as Twitter streams.
