Unisys Corporation
Public event detection platform

Abstract:

Methods and systems for determining public events are described. Data is received from a plurality of heterogeneous data feeds each having a native format. Event data objects are generated based on the received data, the event data objects each including at least a human readable message, an event time, and an event location. The human readable message of each of the event data objects is parsed into keywords, and the event data objects are grouped into one or more public events based on the keywords, time, location, and a sentiment based on the keywords. The public events are filtered based on a filter score, and the event data objects are clustered based on sentiment, location, and time. A density of the clustered event data objects is determined, and the validity of the public events is determined by a comparison of the density to a predetermined density threshold.