1. A method of using classified text and deep learning algorithms to identify financial advantage comprising: creating or accessing one or more training datasets for textual data corresponding to one or more financial classifications, wherein said financial classifications comprises one or more financial advantage of interest; training one or more deep learning algorithms using said one or more training datasets; extracting an internal electronic document of an enterprise; applying said one or more deep learning algorithms to said internal electronic document 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 document in a true positive database if said identified one of said one or more reported advantages of interest is a true positive.
1. A method of using classified text and deep learning algorithms to identify financial advantage comprising: creating or accessing one or more training datasets for textual data corresponding to one or more financial classifications, wherein said financial classifications comprises one or more financial advantage of interest; training one or more deep learning algorithms using said one or more training datasets; extracting an internal electronic document of an enterprise; applying said one or more deep learning algorithms to said internal electronic document 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 document in a true positive database if said identified one of said one or more reported advantages of interest is a true positive. 5. The method of claim 1 , wherein each one of said one or more deep learning algorithms has also been trained with one or more datasets unrelated to the advantages of interest.