1. A method, in an information handling system comprising a processor and a memory, of evaluating a potential post based on historical data, the method comprising: identifying, using the processor, a plurality of historically highly rated attributes corresponding to a plurality of previously received highly rated posts; receiving, via a computer network, the potential post from an online Subject Matter Expert (SME); analyzing the potential post, using a Natural Language Processing (NLP) routine performed by the processor, wherein the analysis identifies a lack of one or more of the historically highly rated attributes in the potential post; and notifying, based on the analysis, the SME regarding the lack of one or more of the historically highly rated attributes in the potential post.