1. A computer implemented method for automatically generating a computer analysis of a text comprising a plurality of words, the computer comprising a processor and a user interface, the method comprising: receiving the text; performing, via the processor, token-by-token analysis by tagging tokens of the text, based on mappings of literary DNA, with one of a contextual sentiment and a contextual emotion, wherein each of the tokens comprises letters or phonemes mapped to numbers, used to map literary DNA; performing, via the processor, a segmentation analysis of the text using one of a dimension of sentiment and an emotional analysis and a rhetorical structure analysis; and outputting, via the user interface, the computer analysis of the text; wherein the computer analysis includes a classification, a categorization or a sorting of the text according to one of a sentiment, an emotion, a rhetorical structure and an ontological similarity.
1. A computer implemented method for automatically generating a computer analysis of a text comprising a plurality of words, the computer comprising a processor and a user interface, the method comprising: receiving the text; performing, via the processor, token-by-token analysis by tagging tokens of the text, based on mappings of literary DNA, with one of a contextual sentiment and a contextual emotion, wherein each of the tokens comprises letters or phonemes mapped to numbers, used to map literary DNA; performing, via the processor, a segmentation analysis of the text using one of a dimension of sentiment and an emotional analysis and a rhetorical structure analysis; and outputting, via the user interface, the computer analysis of the text; wherein the computer analysis includes a classification, a categorization or a sorting of the text according to one of a sentiment, an emotion, a rhetorical structure and an ontological similarity. 13. The computer implemented method according to claim 1 , further comprising: performing an analysis of sentiment or emotion based on a measure of contextual sentiment and a contextual emotion similarity between rhetorically or ontologically similar texts.