Electronic communications signature recognition for privacy preserving computer operations

Abstract

Mechanisms are provided for executing a privacy preserving computing operation. Features are extracted from line(s) of an electronic communication. Trained machine learning (ML) computer model(s) process the extracted features and generate classification output(s) for the line(s). The ML computer models process the features and generate a classification output for each line which specifies, for corresponding lines, a corresponding classification of the corresponding line as to whether it is a signature line or non-signature line, based on patterns in the features. Each line is annotated with metadata specifying the corresponding classification of the line based on the classification output, to generate an annotated set of data. The privacy preserving computing operation is executed on the electronic communication based on the annotated set of data.