Natural language processing system for context-specific applier interface

A computer program product comprising a non-transitory computer-readable storage device having computer code embodied therein to optimize natural language processing of voice interaction data in product/service categorization and product/service application, which, when executed on a computing device, causes the computing device to:

• receive, from a voice interaction device through a context discovery interface, user voice data corresponding to a user;
• perform, with an NLP engine, natural language processing of the user voice data to determine a context category;
• select, with an AI engine, one of a plurality of context-specific applier interfaces based on the context category;
• automatically transition, with the AI engine, to said one of the plurality of context-specific applier interfaces;
• interact, via the AI engine, with the user via a voice interaction to initiate the product/service application;
• convert the user voice data to converted text;
• parse the converted text into a plurality of parsed data segments;
• search a plurality of context databases to determine if a match exists between each of the plurality of parsed data segments and each of the plurality of context databases;
• and
• probabilistically determine that the converted text meets a frequency probabilistic threshold of being directed to the context category based upon a quantity of the plurality of parsed data segments corresponding to the context category.

A computer program product comprising a non-transitory computer-readable storage device having computer code embodied therein to optimize natural language processing of voice interaction data in product/service categorization and product/service application, which, when executed on a computing device computing device, causes the computing device to:

• receive, from a voice interaction device through a context discovery interface, user voice data corresponding to a user;
• perform, with an NLP engine, natural language processing of the user voice data to determine a context category;
• select, with an AI engine, one of a plurality of context-specific applier interfaces based on the context category;
• automatically transition, with the AI engine, to said one of the plurality of context-specific applier interfaces;
• interact, via the AI engine, with the user via a voice interaction to initiate the product/service application;
• convert the user voice data to converted text;
• parse the converted text into a plurality of parsed data segments;
• search a plurality of context databases to determine if a match exists between each of the plurality of parsed data segments and each of the plurality of context databases;
• and
• probabilistically determine that the converted text meets a probabilistic threshold of being directed to the context category based upon a weighting of one or more of the plurality of parsed data segments corresponding to the context category.