Digital semantic structure conversion

A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a processor of a server hardware device implements a digital conversion method, said method comprising:

• receiving, by said processor, text data associated with a text presentation being presented via a hardware device of a user;
• receiving, by said processor in response to receiving authorization from said user, network-based data associated with said user;
• analyzing, by said processor, semantic attributes of said text data;
• determining, by said processor based on results of said analyzing said semantic attributes, concepts and premises of said text data;
• analyzing, by said processor, said network-based data;
• associating, by said processor based on said concepts and premises of said text data and results of said analyzing said network-based data, said user with a plurality of users associated with said text presentation resulting in the formation of a group of users;
• determining, by said processor, a propensity inclination for said group of users with respect to specialized digital dimensions;
• associating, by said processor based on said propensity inclination for said group of users, retrieved images with said text data, wherein said retrieved images are associated with said concepts and premises;
• and
• presenting, by said processor, said retrieved images to said user.

A hardware device comprising a processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the processor implements a digital conversion method comprising:

• receiving, by said processor, text data associated with a text presentation being presented via a hardware device of a user;
• receiving, by said processor in response to receiving authorization from said user, network-based data associated with said user;
• analyzing, by said processor, semantic attributes of said text data;
• determining, by said processor based on results of said analyzing said semantic attributes, concepts and premises of said text data;
• analyzing, by said processor, said network-based data;
• associating, by said processor based on said concepts and premises of said text data and results of said analyzing said network-based data, said user with a plurality of users associated with said text presentation resulting in the formation of a group of users;
• determining, by said processor, a propensity inclination for said group of users with respect to specialized digital dimensions;
• associating, by said processor based on said propensity inclination for said group of users, retrieved images with said text data, wherein said retrieved images are associated with said concepts and premises;
• and
• presenting, by said processor, said retrieved images to said user.