3. The method according to claim 1 further comprising: f) weighting, by the at least one computer processor, said at least one candidate topic identified in said at least one received content document for relevance based on at least one of an algorithmic analysis or a statistical analysis of at least one relationship between said plurality of candidate topics in the at least one data set.
3. The method according to claim 1 further comprising: f) weighting, by the at least one computer processor, said at least one candidate topic identified in said at least one received content document for relevance based on at least one of an algorithmic analysis or a statistical analysis of at least one relationship between said plurality of candidate topics in the at least one data set. 4. The method according to claim 3 , wherein said weighting comprises: calculating, by the at least one computer processor, a weighting u, for a given term based on an occurrence of said given term in an input document, wherein u = 1.0 - sin ⁡ ( s t ) 2 , wherein s comprises a starting offset of a match into said input document; and wherein t comprises a total length of said input document.