Patent Document ID: 9268765
Application ID: 13865985

Base Claim:
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; and 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; generating an electronic signal which encodes a message, wherein the message subsumes the first dominant cognitive motivation orientation set expressed in the first text sequence; and transforming the electronic signal into a display signal which encodes the message, and using the display signal to present the message in visible form on a physical display.

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Claim 8:
8. The method of claim 1 , further comprising: receiving a meaningful second text sequence, the second text sequence address the first text sequence; deriving second text sequence n-grams from the second text sequence; comparing the second text sequence n-grams to the plurality of predetermined indicator n-grams; recording at least one cognitive motivation orientation confidence weight for the second text sequence by, for each second 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 second text sequence n-gram; and using the at least one cognitive motivation orientation confidence weight recorded for the second text sequence to determine a second dominant cognitive motivation orientation set expressed in the second text sequence.