Data processing system and method for dynamic assessment, classification, and delivery of adaptive personalized recommendations

A data processing system to determine a personal recommendation, the data processing system comprising:

• a computer-readable storage medium having a non-transitory computer readable program stored therein, wherein the non-transitory computer readable program, when executed on a computing device of the data processing system, causes the computing device to:
• retrieve a stored interaction record from a database;
• extract at least one passage from the stored interaction record, using a natural language processing algorithm;
• classify the at least one passage according to at least one dimension, so as to create at least one dimension-labeled passage;
• determine at least one scored passage associated with the at least one dimension-labeled passage;
• obtain at least one assessed dimension based upon the at least one scored passage;
• use the at least one assessed dimension to identify a persona classification associated with the stored interaction record, so as to obtain a classified persona;
• and
• determine at least one personal recommendation based upon the classified persona and the at least one assessed dimension.

A method for delivering a personalized intervention recommendation relating to an identified outcome using dynamic assessment and persona classification, the method comprising:

• defining, in a data processing system, a set of dimensions correlated with an outcome, wherein the data processing system comprises a database comprising a set of stored communication interaction records;
• defining, in the data processing system, a plurality of recommendations relating to the set of dimensions;
• retrieving, in the data processing system, an interaction record from the set of stored communication interaction records;
• extracting, in the data processing system, a set of passages from the interaction record using a communication processing algorithm;
• classifying, in the data processing system, the set of passages according to the set of dimensions, to create at least one dimension-labeled passage;
• determining, in the data processing system, a scored passage associated with the at least one dimension-labeled passage;
• obtaining, in the data processing system, at least one assessed dimension based upon the scored passage;
• using, in the data processing system, the at least one assessed dimension to identify a persona classification associated with the interaction record, so as to obtain a classified persona;
• matching, in the data processing system, the at least one assessed dimension to at least one intervention recommendation identified from the plurality of recommendations and based upon the classified persona;
• storing, in the database, the classified persona and the at least one intervention recommendation so as to update a set of persona analytics information associated with the interaction record;
• and
• communicating information from the set of persona analytics information to an output hardware device of the data processing system.

A non-transitory computer readable program which, when executed on a computing device of a data processing system, causes the computing device to:

• retrieve an interaction record from a database;
• extract at least one passage from the interaction record, using a communication processing algorithm;
• classify the at least one passage according to at least one dimension, so as to create at least one dimension-labeled passage;
• determine at least one scored passage associated with the at least one dimension-labeled passage;
• obtain at least one assessed dimension based upon the at least one scored passage;
• use the at least one assessed dimension to identify a persona classification associated with the interaction record;
• and
• determine at least one personal recommendation from a plurality of recommendations relating to an outcome, based upon the persona classification and the at least one assessed dimension.