MACHINE LEARNING TECHNIQUES FOR HIERARCHICAL-WORKFLOW RISK SCORE PREDICTION USING MULTI-PARTY COMMUNICATION DATA

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. Certain embodiments of the present invention utilize systems, methods, and computer program products that perfo...

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Bibliographische Detailangaben
Hauptverfasser: Awasthi, Gourav, Mittal, Chirag, Sabapathy, Rajesh, Raju, Rebin, Gonzalez, Sharenna D
Format: Patent
Sprache:eng
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Zusammenfassung:Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating a hybrid class for a multi-party communication transcript data object associated with a predictive entity utilizing a hybrid space classification machine learning model, generating a machine learning-based risk score utilizing a hybrid-class-based risk scoring machine learning model, and generating a hierarchical-workflow risk score using a hierarchical risk score adjustment workflow.