Patent Document ID: 10095992
Application ID: 15864785
Patent Flag: 1

Claim One:
1. A method of using classified text augmented with a blockchain and deep learning to identify risk comprising: obtaining one or more training datasets comprising of textual data corresponding to one or more adverse risk situations; aggregating a plurality training data into a blockchain for one of said one or more training datasets, wherein each one of said plurality of training data consists of a specific adverse risk situation of said one or more adverse risk situations provided by one of a plurality of enterprises, wherein said training data comprises a number string; training one or more deep learning algorithms using said one or more training datasets; extracting an internal electronic communication of an enterprise; applying said one or more deep learning algorithms to said internal electronic communication to identify and report any one of said one or more adverse risk situations; determining if said identified one of said one or more adverse risk situations 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 adverse risk situations is a false positive; and saving said internal electronic communication in a true positive database if said identified one of said one or more adverse risk situations is a true positive.