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AssigneeCapital One Services, LLC
InventorsFarshid Marbouti, Gurpreet Singh Sandhu, Sarvani Kare, Nahid Farhady Ghalaty, Daniel Liu, Patrick Sofo, Lee Adcock
Estimating the term…
Methods and systems comprising a first portion of a model that includes a model component that is trained to perform sentiment analysis based on training data for a plurality of users (e.g., what language, phrases, and/or responses the population at large uses). The first portion of the model also includes a model component that is trained to identify user intent based on the sentiment analysis that is specific to user groups. For example, the system first determines the likely context and/or meaning of communications of the user. The system then determines a likely intent of the user based on the likely context and/or meaning of communications (e.g., based on a correlation of the meaning of communications of the user and the intents of users corresponding to a user group of the user).
A system for generating cyber incident responses using artificial intelligence models in data-sparse environments, the system comprising:
A method for generating incident responses using artificial intelligence models in data-sparse environments, the method comprising:
A non-transitory, computer-readable medium comprising instructions that, when executed by one or more processors, cause operations comprising:
Dependencies are inferred from the claim text.