Patent ID: 9552548
Date: 2017-01-24
CPC Classifications: G06F,G06K,G06N,G06Q,H04L

Claim:
1. A method of using classified text and deep learning algorithms to identify risk and provide early warning comprising: creating one or more training datasets for textual data corresponding to one or more risk classifications, wherein said risk classification comprises one or more threats or risks of interest; 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 threats or risks of interest; determining if said identified one of said one or more threats or risks 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 threats or risks of interest is a false positive; and saving said internal electronic communication in a true positive database if said identified one of said one or more threats or risks of interest is a true positive.