Hierarchical Topic Machine Learning Operation

A computer-implementable method for generating a cognitive insight comprising:

• receiving training data, the training data being based upon interactions between a user and a cognitive learning and inference system;
• performing a cognitive learning operation via the cognitive inference and learning system using the training data, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive learning operation applying the cognitive learning technique via a machine learning operation to generate a cognitive learning result;
• performing a hierarchical topic machine learning operation on the training data, the machine learning operation comprising the hierarchical topic machine learning operation, the hierarchical topic machine learning operation providing a domain topic abstraction taxonomy, the domain topic abstraction taxonomy providing a classification of the training data as well as principles underlying the classification, the domain topic abstraction taxonomy providing a hierarchical taxonomy;
• and,
• generating a cognitive insight based upon the hierarchical topic machine learning operation.

A system comprising:

• a processor;
• a data bus coupled to the processor;
• and
• a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
• receiving training data, the training data being based upon interactions between a user and a cognitive learning and inference system;
• performing a cognitive learning operation via the cognitive inference and learning system using the training data, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive learning operation applying the cognitive learning technique via a machine learning operation to generate a cognitive learning result;
• performing a hierarchical topic machine learning operation on the training data, the machine learning operation comprising the hierarchical topic machine learning operation, the hierarchical topic machine learning operation providing a domain topic abstraction taxonomy, the domain topic abstraction taxonomy providing a classification of the training data as well as principles underlying the classification, the domain topic abstraction taxonomy providing a hierarchical taxonomy;
• and,
• generating a cognitive insight based upon the hierarchical topic machine learning operation.

A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

• receiving training data, the training data being based upon interactions between a user and a cognitive learning and inference system;
• performing a cognitive learning operation via the cognitive inference and learning system using the training data, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, the cognitive learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive learning operation applying the cognitive learning technique via a machine learning operation to generate a cognitive learning result;
• performing a hierarchical topic machine learning operation on the training data, the machine learning operation comprising the hierarchical topic machine learning operation, the hierarchical topic machine learning operation providing a domain topic abstraction taxonomy, the domain topic abstraction taxonomy providing a classification of the training data as well as principles underlying the classification, the domain topic abstraction taxonomy providing a hierarchical taxonomy;
• and,
• generating a cognitive insight based upon the cognitive profile generated using the hierarchical topic machine learning operation.