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 processor associated with a computing device, performs a method comprising the steps of:

• receiving, at the computing device on a network, a message, said message addressed to an inbox of a recipient and sent by a sender, said message comprising message content;
• parsing, via the computing device, said message, and identifying message information related to the sender, the message content and a subject of the message;
• applying, via the computing device, a H/M classifier to said message, said H/M classifier comprising a combination of sub-models that analyze a message based on specific features of a message, said application of the H/M classifier comprising analyzing the sender information and the content information via said combination of sub-models based on said specific features;
• determining, via the computing device, based on said H/M classifier application, information indicating whether said message sender is a machine or human;
• applying, via the computing device, a MAGMA classifier to said message, said MAGMA classifier comprising a word encoder for specific portions of a message, said application of the MAGMA classifier comprising analyzing the subject information and the content information via said portion specific word encoder, wherein the application of the word encoder of the MAGMA classifier comprises:
• analyzing the subject information, and based on said analysis, identifying a set of words less than a predetermined threshold within said subject;
• analyzing the content information, and based on said analysis, identifying a set of words less than a predetermined threshold within said content;
• creating a subject vector and a content vector based on the subject and content analysis, respectively;
• concatenating the subject vector and the content vector based on application of a text classifier to the subject vector and the content vector;
• analyzing the concatenated vector via a text classifier, the text classifier comprising a convolutional neural network layer;
• and
• determining the at least one specific category for the message based on said analysis;
• determining, via the computing device, based on said MAGMA classifier application, information indicating at least one specific category said message is associated with;
• applying, via the computing device, a set of indicators to said message, said set of indicators providing information related to said machine or human determination and said MAGMA categorization;
• and
• communicating, via the computing device, over said network, said message to said inbox along with said set of indicators.

A computing device comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising:
• logic executed by the processor for receiving, at the computing device on a network, a message, said message addressed to an inbox of a recipient and sent by a sender, said message comprising message content;
• logic executed by the processor for parsing, via the computing device, said message, and identifying message information related to the sender, the message content and a subject of the message;
• logic executed by the processor for applying, via the computing device, a H/M classifier to said message, said H/M classifier comprising a combination of sub-models that analyze a message based on specific features of a message, said application of the H/M classifier comprising analyzing the sender information and the content information via said combination of sub-models based on said specific features;
• logic executed by the processor for determining, via the computing device, based on said H/M classifier application, information indicating whether said message sender is a machine or human;
• logic executed by the processor for applying, via the computing device, a MAGMA classifier to said message, said MAGMA classifier comprising a word encoder for specific portions of a message, said application of the MAGMA classifier comprising analyzing the subject information and the content information via said portion specific word encoder, wherein the application of the word encoder of the MAGMA classifier comprises:
• analyzing the subject information, and based on said analysis, identifying a set of words less than a predetermined threshold within said subject;
• analyzing the content information, and based on said analysis, identifying a set of words less than a predetermined threshold within said content;
• creating a subject vector and a content vector based on the subject and content analysis, respectively;
• concatenating the subject vector and the content vector based on application of a text classifier to the subject vector and the content vector;
• analyzing the concatenated vector via a text classifier, the text classifier comprising a convolutional neural network layer;
• and
• determining the at least one specific category for the message based on said analysis;
• logic executed by the processor for determining, via the computing device, based on said MAGMA classifier application, information indicating at least one specific category said message is associated with;
• logic executed by the processor for applying, via the computing device, a set of indicators to said message, said set of indicators providing information related to said machine or human determination and said MAGMA categorization;
• and
• logic executed by the processor for communicating, via the computing device, over said network, said message to said inbox along with said set of indicators.