Machine Learning System for Identifying Potential Escalation of Customer Service Requests
AssigneeDell Products L.P.
InventorsVarsha Kansal, Rajkumar Dan
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AssigneeDell Products L.P.
InventorsVarsha Kansal, Rajkumar Dan
Estimating the term…
A method, system and computer-usable medium are disclosed for machine learning to identify service request records associated with an account that is likely to escalate. Certain aspects of the disclosure include generating a random forest model using a training set of service request records to determine a probability of escalation for service requests of the training set; applying the random forest model to a current set of service request records to determine an escalation probability for service requests in the current set; and assigning service request records in the current set to a plurality of escalation probability bins, wherein the service request records of the current set are generally equally divided between the plurality of escalation probability bins, and wherein the service request records of the current set are assigned to a probability bin based on the escalation probability of the service request record.
A computer-implemented method for identifying potential escalations of customer service requests, comprising:
A system comprising:
A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
Dependencies are inferred from the claim text.