ABSTRACT
In this chapter, the field of linguistics, or the study of language, is overviewed from the perspective of functional text analytics. Natural language processing (NLP) elements are discussed, and the means to compute important primary and secondary statistics about text elements are reviewed. Morphology, syntax, and semantics are reviewed briefly, and the Gestalt inherent in fluency is described. In the machine learning section, competition–cooperation is posed as a “twist” on expectation–maximization for optimizing the organization of text. Sensitivity analysis, agent-based modeling, and other means of functionally analyzing text are then covered, along with evolution-inspired approach of using language margins to drive test and measurement.
