Patent attributes
One embodiment of the present invention sets forth a technique for processing unstructured data. The technique includes applying one or more machine learning models to a set of candidate topics extracted from the unstructured data to determine a set of activities of interest included in the set of candidate topics. The technique also includes generating a set of scores for the activities of interest, wherein each score included in the set of scores represents an estimated impact of a corresponding activity of interest on operations within a domain. The technique further includes determining one or more activities included in the set of activities of interest based on a ranking of the activities of interest by the scores, and causing one or more alerts to be outputted in a user interface, wherein each of the alerts is associated with a potential event related to the one or more activities.
