Using classified text and deep learning algorithms to identify risk and provide early warning

摘要

Deep learning is used to identify specific, potential risks to an enterprise (of which litigation is the prime example) while such risks are still internal electronic communications. The system involves mining and using existing classifications of data (e.g., from a litigation database) to train one or more deep learning algorithms, and then examining the internal electronic communications with the trained algorithm, to generate a scored output that will enable enterprise personnel to be alerted to risks and take action in time to prevent the risks from resulting in harm to the enterprise or others.

主权项

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.