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, wherein the identifying further comprises selecting the plurality of previously received highly rated posts from a larger plurality of previously received 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; notifying, based on the analysis, the SME regarding the lack of one or more of the historically highly rated attributes in the potential post; receiving, in response to the notifying, one or more revised potential posts from the SME; and including at least one of the one or more revised potential posts in the larger plurality of previously received posts based on an indication received from the SME, wherein the included revised potential post is visible to the end users for evaluation.