1. A computer-implemented method for neurolinguistically analyzing text, comprising: receiving a meaningful first text sequence; deriving first text sequence n-grams from the first text sequence; comparing the first text sequence n-grams to a plurality of predetermined indicator n-grams, wherein: each predetermined indicator n-gram is associated with at least one cognitive motivation orientation; each predetermined indicator n-gram is further associated with at least one cognitive motivation orientation confidence weight, there being one cognitive motivation orientation confidence weight corresponding to each cognitive motivation orientation with which that particular predetermined indicator n-gram is associated; recording at least one cognitive motivation orientation confidence weight for the first text sequence by, for each first text sequence n-gram matching any one of the predetermined indicator n-grams, recording each cognitive motivation orientation confidence weight associated with the particular predetermined indicator n-gram matching that particular first text sequence n-gram; using the at least one cognitive motivation orientation confidence weight recorded for the first text sequence to determine a first dominant cognitive motivation orientation set expressed in the first text sequence; and generating an electronic signal encoding a message, the message subsuming the first dominant cognitive motivation orientation set expressed in the first text sequence.