11. A method of using classified text and deep learning algorithms to identify financial advantage comprising: creating one or more training datasets by mining financial databases for textual data corresponding to one or more financial advantages of interest; training one or more deep learning algorithms using said one or more training datasets; extracting and indexing one or more internal electronic documents; applying said one or more deep learning algorithms to said one or more internal electronic documents to identify and report any one of said one or more advantages of interest; determining if said identified one of said one or more advantages of interest is a false positive or a true positive; re-training said one or more deep learning algorithms if said identified one of said one or more advantages of interest is a false positive; and saving said internal electronic documents in a true positive database for evaluation if said identified one of said one or more advantages of interest is a true positive.
11. A method of using classified text and deep learning algorithms to identify financial advantage comprising: creating one or more training datasets by mining financial databases for textual data corresponding to one or more financial advantages of interest; training one or more deep learning algorithms using said one or more training datasets; extracting and indexing one or more internal electronic documents; applying said one or more deep learning algorithms to said one or more internal electronic documents to identify and report any one of said one or more advantages of interest; determining if said identified one of said one or more advantages of interest is a false positive or a true positive; re-training said one or more deep learning algorithms if said identified one of said one or more advantages of interest is a false positive; and saving said internal electronic documents in a true positive database for evaluation if said identified one of said one or more advantages of interest is a true positive. 12. The method of claim 11 , wherein each one of said one or more deep learning algorithms scores the data for accuracy with the deep learning model classification of the data.