Patent ID: 8340957

Claim:
A computer-implemented method of adapting a characterized textual corpus state to a target state comprising: deriving from a textual corpus an assessed textual corpus state on a physical computing device comprising: parsing the textual corpus and filtering the parsed textual corpus yielding the assessed textual corpus state, the assessed textual corpus state comprising: a set of derived keywords; each derived keyword including a subset comprising an associated derived keyword frequency of occurrence within the defined textual corpus; a set of high-frequency words; each high-frequency word including an associated high-frequency word frequency of occurrence within the defined textual corpus; a set of weighted frequencies of within-sentence co-occurrence of pairs of words within the defined textual corpus, the pairs of words selected from a combined set of words comprising the set of derived keywords and the set of high-frequency words; and a set of weighted frequencies of within-paragraph co-occurrence of pairs of words within the defined textual corpus, the pairs of words selected from the combined set of words; providing the target state of the textual corpus comprising: a set of initial keywords; each initial keyword including a subset comprising an associated initial keyword frequency of occurrence from within the defined textual corpus; a set of frequencies of within-sentence co-occurrence of pairs of initial keywords from within the defined textual corpus; and a set of frequencies of within-paragraph co-occurrence of pairs of initial keywords from within the defined textual corpus; constructing a weighted adjacency matrix comprising the derived keyword frequency subset and a weighted co-occurrence pair of words, the weighted co-occurrence pair of words comprising the set of weighted frequencies of within-sentence co-occurrence and the set of weighted frequencies of within-paragraph co-occurrence; and generating on the physical device a difference matrix based on differencing at least one of: (a) the set of within-sentence co-occurrence of pairs of derived keywords and the provided set of within-sentence co-occurrence of pairs of initial keywords; and (b) the set of within-paragraph co-occurrence of pairs of derived keywords and the provided set of within-paragraph co-occurrence of pairs of initial keywords.