Multi-magnitudinal vectors with resolution based on source vector features

A system for performing vector comparison in natural language processing, the system comprising at least one processing unit coupled to a memory, wherein the memory is encoded with computer executable instructions that, when executed, cause the at least one processing unit to:

• receive a target vector and a source vector, the target vector including a first target vector dimension comprising a first word or phrase and a second target vector dimension comprising a second word or phrase;
• assign a first magnitude comprising a first weight to the first target vector dimension based on a first feature associated with the source vector;
• assign a second magnitude comprising a second weight to the second target vector dimension based on a second feature associated with the source vector;
• determine a total number of dimensions present in the target vector;
• and
• determine whether a current dimension of the target vector is a last dimension to be processed.