1. A method comprising: automatically extracting, by a database source computer, from a document corpus, data associated with a plurality of co-occurring topics; in response to automatically extracting the plurality of co-occurring topics, extracting, by a synchronizing framework computer, a plurality of topic identifies from the plurality of co-occurring topics; creating, by the synchronizing framework computer, a master topic computer model for the document corpus from a first plurality of term vectors; creating, by the synchronizing framework computer, a periodic new topic computer model by comparing topic significance among the plurality of topic identifiers, the periodic new topic computer model including a second plurality of term vectors; and selecting, by the synchronizing framework computer, one or more new topics by identifying one or more term vectors from the second plurality of term vectors in the periodic new topic computer model that have no correlation with the first plurality of term vectors in the master topic computer model.