1. A method for graphically characterizing statements about an object, comprising: applying, as a result of computing hardware and programmable memory, frame extraction, to a first corpus, in order to attempt to identify, for each statement of the corpus, an object and a sentiment expressed about the object; identifying, as a result of computing hardware and programmable memory, a first object-specific corpus, that is a subset of the first corpus, where all the statements of the first object-specific corpus are about a same first object; categorizing, as a result of computing hardware and programmable memory, a sentiment of each statement, of the first object-specific corpus; categorizing a polarity of each statement, of the first object-specific corpus; categorizing an intensity of each statement, of the first object-specific corpus; determining, as a result of computing hardware and programmable memory, a net polarity measure as a function of the polarity categorization and a net intensity measure as a function of the intensity categorization; producing, as a result of computing hardware and programmable memory, a first graphical representation, of the first object-specific corpus; placing the first graphical representation, relative to a first axis, in accordance with the net polarity measure; and placing the first graphical representation, relative to a second axis, in accordance with the net intensity measure.
28. The method of claim 1 , further comprising: identifying a first plurality of object-specific corpuses, including the first object-specific corpus, where each object-specific corpus is a subset of the first corpus; limiting each corpus, of the first plurality of object-specific corpuses, such that all statements are about a same object and a same characteristic of the same object; categorizing the polarity and intensity of each statement of each object-specific corpus; determining a net polarity measure and a net intensity measure, for each object-specific corpus, as a function of the categorization; placing a graphical representation, of each corpus of the first plurality of object-specific corpuses, relative to first and second axes, in accordance with, respectively, the net polarity and intensity measures; dividing a graphing space, defined by the axes, into quadrants; mapping each quadrant to representing one of strengths, weaknesses, opportunities and threats.