Computerized system and method for multi-factor message classification and delivery

A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a device, perform a method comprising:

• receiving, by the device over a network, a message sent by a sender that is addressed to an inbox of a recipient, the message comprising message content;
• parsing, by the device, the message, and identifying message information related to the sender, the message content and a subject of the message;
• applying, by the device, a Human/Machine (H/M) classifier to the message, the H/M classifier comprising at least one sub-model that analyzes a message based on specific features of the message, the application of the H/M classifier comprising analyzing the sender information and the content information via at least a content model, such that application of the content model comprises:
• creating a vector representation of each word in the sender information;
• creating a vector representation of each word in the content information;
• analyzing, via a CNN layer of the content model, each vector, and based on the analysis, concatenate each vector to a content model vector;
• and
• analyzing the content model vector via a softmax function, and based on the analysis, determining whether the message sender was a machine or a human;
• identifying, by the device, based on the H/M classifier application and analysis, information indicating whether the message sender is a machine or human;
• applying, by the device, a MAGMA classifier to the message, the MAGMA classifier comprising a word encoder for specific portions of a message, the application of the MAGMA classifier comprising analyzing the subject information and the content information via the portion specific word encoder;
• determining, by the device, based on the MAGMA classifier application, information indicating at least one specific category the message is associated with;
• applying, by the device, a set of indicators to the message, the set of indicators providing information related to the machine or human determination and the MAGMA categorization;
• and
• communicating, by the device, over the network, the message to the inbox along with the set of indicators.

A device comprising:

• a processor configured to:
• receive, over a network, a message sent by a sender that is addressed to an inbox of a recipient, the message comprising message content;
• parse the message, and identify message information related to the sender, the message content and a subject of the message;
• apply a Human/Machine (H/M) classifier to the message, the H/M classifier comprising at least one sub-model that analyzes a message based on specific features of the message, the application of the H/M classifier comprising analyzing the sender information and the content information via at least a content model, such that application of the content model comprises:
• create a vector representation of each word in the sender information;
• create a vector representation of each word in the content information;
• analyze, via a CNN layer of the content model, each vector, and based on the analysis, concatenate each vector to a content model vector;
• and
• analyze the content model vector via a softmax function, and based on the analysis, determine whether the message sender was a machine or a human;
• identify, based on the H/M classifier application and analysis, information indicating whether the message sender is a machine or human;
• apply a MAGMA classifier to the message, the MAGMA classifier comprising a word encoder for specific portions of a message, the application of the MAGMA classifier comprising analyzing the subject information and the content information via the portion specific word encoder;
• determine, based on the MAGMA classifier application, information indicating at least one specific category the message is associated with;
• apply a set of indicators to the message, the set of indicators providing information related to the machine or human determination and the MAGMA categorization;
• and
• communicate, over the network, the message to the inbox along with the set of indicators.