Triangulated natural language decoding from forecasted deep semantic representations

A system comprising:

• a memory having computer readable instructions;
• and
• one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
• developing a words model from a plurality of natural language text based articles relating to a subject;
• generating a static vector based upon the words model;
• developing an actual articles model from actual articles;
• generating a bootstrapped vector using the actual articles model;
• generating a n-dimensional depth item using the static vector and the bootstrapped vector;
• determining evidence based on the n-dimensional depth item;
• generating a forecast vector based upon historical articles;
• and
• presenting, via a display, the evidence base upon an input query from a user.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations comprising:

• developing a words model from a plurality of natural language text based articles relating to a subject;
• generating a static vector based upon the words model;
• developing an actual articles model from actual articles;
• generating a bootstrapped vector using the actual articles model;
• generating a n-dimensional depth item using the static vector and the bootstrapped vector;
• determining evidence based on the n-dimensional depth item;
• generating a forecast vector based upon historical articles;
• and
• presenting, via a display, the evidence base upon an input query from a user.