1. A method, in an information handling system comprising a processor and a memory, for analyzing concept vectors over time to detect changes in a corpus, the method comprising: generating, by the system, at least a first concept vector set from a first set of concept sequences applied to a vector learning component; generating, by the system, at least a second concept vector set from a second set of concept sequences applied to the vector learning component, where the second set of concept sequences is effectively collected after collection of the first set of concept sequences; and performing, by the system, a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying vector changes for one or more concepts included in the first and/or second set of concept sequences.