Systems, methods and computer program products for neurolinguistic text analysis

摘要

Computer-implemented methods can transform a corpus of meaningful text sequences into a generalized computer-usable repository of neurolinguistic information that can be applied by one or more computer systems. The computer system(s) can use the neurolinguistic information to neurolinguistically analyze meaningful text sequences to derive statistical information and identify dominant cognitive motivation orientations expressed in those text sequences. The identified dominant cognitive motivation orientations can be used to improve the efficacy of both human-generated and machine-generated communications. The computer system(s) thereby transform a meaningful text sequence into actionable information about the dominant cognitive motivation orientation(s) of the author of that text sequence within the context in which the text sequence was composed. Computer systems and computer-program products for implementing the methods are also described.

主权项

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.