Dynamic event detection system and method
First Claim
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1. A method for dynamic event detection based on content from a set of social networking systems, comprising, at a computing system:
- receiving content from the set of social networking systems;
for each of a plurality of geofences, each geofence representing a geographic region;
identifying a plurality of content, generated within a predetermined time period, that is associated with the geofence;
determining feature values from the plurality of content for each of a set of features;
determining an event probability for the geofence based on the feature values;
detecting an event within the geofence in response to the event probability exceeding a threshold event probability;
for the event, determining a category probability for an event category, based on the feature values; and
categorizing the detected event with the event category in response to the category probability exceeding the category probability threshold.
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Abstract
A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.
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21 Claims
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1. A method for dynamic event detection based on content from a set of social networking systems, comprising, at a computing system:
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receiving content from the set of social networking systems; for each of a plurality of geofences, each geofence representing a geographic region; identifying a plurality of content, generated within a predetermined time period, that is associated with the geofence; determining feature values from the plurality of content for each of a set of features; determining an event probability for the geofence based on the feature values; detecting an event within the geofence in response to the event probability exceeding a threshold event probability; for the event, determining a category probability for an event category, based on the feature values; and categorizing the detected event with the event category in response to the category probability exceeding the category probability threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for dynamic event detection based on content from a set of social networking systems, comprising, at a computing system:
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receiving content from the set of social networking systems; for each of a set of geofences, each geofence representing a geographic region; identifying a plurality of content associated with the geofence that was generated within a predetermined time period; determining feature values from the plurality of content for each of a set of features; determining an event probability for the geofence based on the feature values; detecting an event within the geofence in response to the event probability exceeding a threshold event probability; and categorizing the event with an event category based on the feature values. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification