Various embodiments provide systems, computer program products and computer implemented methods. Some embodiments include a method of updating an expert corpus set, including obtaining a query from a user, obtaining a raw data source, determining a relevance score for the raw data source with respect to the query, by performing actions including creating a first vector of statistical variables for the query using at least one natural language processing (NLP) socket, the statistical variables having category types, creating a second vector for the first raw data source, having category types that are the same as those for the query and generating a hypothesis regarding the relevance of the raw data source, testing the hypothesis by comparing relative statistical variables, calculating a gradient between the vectors to determine the relevance score and updating the expert corpus set with the raw data in response to the relevance score exceeds a threshold.