Intelligent filtering of flagged electronic communications using machine learning

A device comprising:

• memory that stores computer-executable instructions;
• and
• at least one processor configured to access the memory and execute the computer-executable instructions to:
• determine a first flagged electronic communication using a first machine learning model, wherein the first flagged electronic communication is flagged due to presence of a phrase;
• determine, using a second machine learning model, a first false positive score of the first electronic communication;
• determine that the first false positive score is less than or equal to a first threshold;
• generate a manual review notification for the first flagged electronic communication;
• determine a manual review output signal associated with the first flagged electronic communication;
• and
• cause the second machine learning model to be retrained based at least in part on the manual review output signal.

A method comprising:

• determining, by one or more computer processors coupled to memory, a first flagged electronic communication using a first machine learning model, wherein the first flagged electronic communication is flagged due to presence of a phrase;
• determining, using a second machine learning model, a first false positive score of the first electronic communication;
• determining that the first false positive score is less than or equal to a first threshold;
• generating a manual review notification for the first flagged electronic communication;
• determining a manual review output signal associated with the first flagged electronic communication;
• determining that the manual review output signal indicates the first flagged electronic communication is a false positive;
• causing the second machine learning model to be retrained based at least in part on the manual review output signal;
• determining a second flagged electronic communication using the first machine learning model;
• determining, using the second machine learning model, a second false positive score of the second electronic communication;
• determining that the second false positive score is greater than the first threshold;
• and
• generating a false positive notification for the second flagged electronic communication.