Abstract: A system and method of data record management is provided. The system comprises a processor and a memory coupled to the processor that stores processor-executable instructions that when executed configure the processor to perform the method. The method comprises receiving a plurality of unstructured natural language data records, generating a structured dataset based on the plurality of unstructured natural language data records, transforming the structured dataset to normalize the respective frequency values based on inverse proportionality of the respective frequency values, determining a redundancy prediction value associated with that unstructured natural language data record based on the transformed structured dataset, and displaying on a graphical user interface a message identifying one or more unstructured natural language data records being associated with a redundancy prediction value greater than a threshold value.

Abstract: A system and method of data record management is provided. The system comprises a processor and a memory coupled to the processor that stores processor-executable instructions that when executed configure the processor to perform the method. The method comprises receiving a plurality of unstructured natural language data records, generating a structured dataset based on the plurality of unstructured natural language data records, transforming the structured dataset to normalize the respective frequency values based on inverse proportionality of the respective frequency values, determining a redundancy prediction value associated with that unstructured natural language data record based on the transformed structured dataset, and displaying on a graphical user interface a message identifying one or more unstructured natural language data records being associated with a redundancy prediction value greater than a threshold value.

Abstract: A system and method of data record management is provided. The system comprises a processor and a memory coupled to the processor that stores processor-executable instructions that when executed configure the processor to perform the method. The method comprises receiving a plurality of unstructured natural language data records, generating a structured dataset based on the plurality of unstructured natural language data records, transforming the structured dataset to normalize the respective frequency values based on inverse proportionality of the respective frequency values, determining a redundancy prediction value associated with that unstructured natural language data record based on the transformed structured dataset, and displaying on a graphical user interface a message identifying one or more unstructured natural language data records being associated with a redundancy prediction value greater than a threshold value.

Abstract: A system and method of data record management is provided. The system comprises a processor and a memory coupled to the processor that stores processor-executable instructions that when executed configure the processor to perform the method. The method comprises receiving a plurality of unstructured natural language data records, generating a structured dataset based on the plurality of unstructured natural language data records, transforming the structured dataset to normalize the respective frequency values based on inverse proportionality of the respective frequency values, determining a redundancy prediction value associated with that unstructured natural language data record based on the transformed structured dataset, and displaying on a graphical user interface a message identifying one or more unstructured natural language data records being associated with a redundancy prediction value greater than a threshold value.