16. The system of claim 15 further comprising a common neighbors module, the common neighbors module configured to: determine at least two corpora of conceptually-related portions of text; calculate a common neighbors similarity measurement between the at least two corpora of conceptually-related portions of text; and merge the at least two corpora of conceptually-related portions of text into the first cluster of conceptually-related portions of text where the common neighbors similarity measurement exceeds a threshold.
15. A system comprising: a processor; a memory coupled to the processor; a processing program stored in the memory for execution by the processor, the processing program comprising: an analysis module, the analysis module configured to: analyze a first cluster of conceptually-related portions of text to identify a probability for each of the one or more portions of texts within the first cluster of conceptually-related portions of text, wherein the first cluster of conceptually-related portions of text comprises one or more sentences and wherein the probability is calculated based on the number of first time occurrences of a word in each of the one or more sentences divided by the total number of sentences in the first cluster of conceptually-related portions of text; and develop a model based on the one or more probabilities corresponding to the one or more portions of texts within the first cluster of conceptually-related portions of text; a novelty module, the novelty module configured to calculate a novelty measurement between a first identified conceptually-related portion of text and the model; and a transmission module, the transmission module configured to transmit a second identified conceptually-related portion of text and a score associated with the novelty measurement.