Automated natural language communication analysis

A device, comprising:

• one or more memories;
• and
• one or more processors communicatively coupled to the one or more memories, configured to:
• receive a mass communication data set identifying results of a set of mass communication tasks performed using a set of communication frameworks;
• generate, using a machine learning technique and based on the mass communication data set, a mass communication model;
• store the mass communication model for subsequent use in evaluating a communication framework for a mass communication task;
• receive, after storing the mass communication model, information identifying the communication framework for the mass communication task;
• determine a success score for the communication framework using the mass communication model,
• wherein the success score represents a likelihood of a successful response in connection with using the communication framework for the mass communication task;
• generate a recommendation for the communication framework based on the success score and using the mass communication model;
• alter the communication framework to implement the recommendation and generate a modified communication framework,
• wherein, the one or more processors, when altering the communication framework, are to:
• determine a ratio of responses received to messages sent in other mass communication tasks that includes a particular message recipient,
• select, using the mass communication model and based on end-user data, a first timing for messaging associated with a first message recipient,
• wherein the one or more processors, to select the first timing, are configured to:
• determine a first set of time slot scores for the first message recipient,
• wherein a time slot score, of the first set of time slot scores, represents a likelihood of response in a time slot of a set of time slots for messaging,
• determine a second set of time slot scores for the second message recipient, and
• optimize an assignment of message recipients to time slots based on at least one of the first set of time slot scores, the second set of time slot scores, or a time slot availability criterion, and
• select, using the mass communication model and based on the end-user data, a second timing that is different from the first timing for messaging associated with a second message recipient;
• and
• perform the mass communication task using the modified communication framework.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive information identifying a communication framework for a mass communication task;
• determine a success score for the communication framework using a mass communication model,
• wherein the success score represents a likelihood of a successful response in connection with using the communication framework for the mass communication task;
• generate a recommendation for the communication framework based on the success score and using the mass communication model,
• wherein the recommendation relates to message recipient-level differentiation such that a first message recipient is associated with a different time slot, messaging channel, or message content relative to a second message recipient;
• alter the communication framework to implement the recommendation and generate a modified communication framework,
• wherein the one or more instructions, that cause the one or more processors to alter the communication framework, cause the one or more instructions to:
• optimize an assignment of message recipients to time slots based on determining a ratio of responses received to messages sent in other mass communication tasks that includes a particular message recipient,
• select, using the mass communication model and based on end-user data, a first timing for messaging associated with the first message recipient,
• wherein the one or more instructions, that cause the one or more processors to select the first timing, cause the one or more processors to:
• determine a first set of time slot scores for the first message recipient,
• wherein a time slot score, of the first set of time slot scores, represents a likelihood of response in a time slot of a set of time slots for messaging,
• determine a second set of time slot scores for the second message recipient, and
• optimize an assignment of message recipients to time slots based on at least one of the first set of time slot scores, the second set of time slot scores, or a time slot availability criterion, and
• select, using the mass communication model and based on the end-user data, a second timing that is different from the first timing for messaging associated with the second message recipient;
• and
• perform the mass communication task using the modified communication framework.