System and method for machine learning architecture for interdependence detection

A system for generating predictions associated with interdependence detection between a plurality of data objects, each data object of the plurality of data objects corresponding to an entity name, the system processing, using a natural language processing engine, text strings to extract entity name...

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Bibliographische Detailangaben
Hauptverfasser:	Fenton, Diane Elizabeth, Peng, Hang, Kashyap, Guhan Pattamadai, Badar-E-Munir, Atique, Dadkhah, Mohammadreza, Zamfir, Roxana, Wright, Ivana, Roy, Ananya
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	A system for generating predictions associated with interdependence detection between a plurality of data objects, each data object of the plurality of data objects corresponding to an entity name, the system processing, using a natural language processing engine, text strings to extract entity names associated with each of the text string; processing, using a machine learning engine, the text strings to extract estimated economic relationships identified between at least two different entity names. The estimated economic relationships are aggregated for each pair of entity names to establish of potential interdependence between the pair of entity names. An output data structure is generated based at least on the aggregated estimated economic relationships.