Machine learning dataset generation using a natural language processing technique

A method comprising:

• receiving, at a server, a plurality of call records, wherein:
• each call record includes a call recording, a phone number, a time stamp and a fraud designation;
• and
• the fraud designation is fraudulent or non-fraudulent;
• generating, using a processor of the server, a call transcript for each call recording;
• creating, using the processor, a training dataset including a plurality of data points, each data point including the call transcript, the phone number, the time stamp and the fraud designation;
• training, using the processor, a classification model using the training dataset;
• receiving, at the server, a new call record including a new call recording, a new phone number and a new time stamp;
• labeling, using the processor, the new call record with a new fraud designation based on a classification by the classification model, wherein the new fraud designation is fraudulent or non-fraudulent;
• and
• transmitting, using the processor, a transfer signal to a device when the new fraud designation is fraudulent, wherein the transfer signal is configured to cause a transfer of a phone call to a chatbot.