Rapid and efficient case opening from negative news
AssigneeWells Fargo Bank, N.A.
InventorsAngelica Bullard, Mauricio Flores, Ian Kloville, Jeremy Norvell, Sameer Shetty, Michael Traverso
Life of this patent
Estimating the term…
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AssigneeWells Fargo Bank, N.A.
InventorsAngelica Bullard, Mauricio Flores, Ian Kloville, Jeremy Norvell, Sameer Shetty, Michael Traverso
Estimating the term…
Disclosed is an approach in which news alerts are scanned in real-time or near real-time, relevant alerts identified through a topic extraction model, and associated actors identified through an entity extraction model. An entity resolution model may be applied to determine which actors are clients. The topic extraction, entity extraction, and/or entity resolution models may apply, for example, natural language processing models. The alert may be enriched by being packaged with client and transactional data to generate an enriched alert. A predictive model may be applied to the enriched alert to identify events with a high probability of law enforcement referral, and the enriched alert may be automatically transmitted to certain identified devices. The predictive model is trained using a combination of news alerts and data on clients and transactions, yielding enhanced predictions. The disclosed approach reveals relevant underlying associations and connections between entities and transactions not otherwise feasibly discoverable.
A machine-learning method comprising:
A machine-learning method comprising:
A computing system comprising one or more processors configured to:
Dependencies are inferred from the claim text.