Content-based routing and rating of messages in a telecommunications network

A system for automated routing and rating of communications data comprising:

• a computing device configured to:
• receive a message from a source element, wherein the message comprises a service category;
• determine whether to classify the message;
• determine a message class, wherein determining the message class comprises:
• applying, to the message, a deep learning algorithm generated based on a plurality of messages having respective payloads, time stamps, source addresses, and destination addresses;
• and
• determining the message class based on the deep learning algorithm;
• compare the service category to the determined message class;
• and
• determine a rating for the message based on the comparison.

A method for automated routing and rating of communications data via a computing device within a telecommunications network, the method comprising the steps of:

• at the computing device, receiving from a source element, a message destined for a destination element, wherein the message comprises a service category;
• determining at the computing device whether to classify the message;
• determining at the computing device a message class, wherein determining the message class comprises:
• applying, to the message, a deep learning algorithm generated based on a plurality of messages each having a payload, time stamp, source address, and destination address;
• and
• determining the message class based on the deep learning algorithm;
• comparing at the computing device the service category to the determined message class;
• determining at the computing device a rating for the message based on the comparison;
• and
• delivering the message to the destination element.