BACKGROUND

A central messaging device may transmit messages to message recipients via a communication channel of a network and may receive responses from the message recipients via the communication channel. For example, an email server may transmit emails to email recipients and may receive responses to the emails. Similarly, an instant messaging system may use an instant messaging communication channel for real-time text transmission and reception over a network (e.g., a local area network, the Internet, and/or the like). In some cases, more complex messaging may be performed using a communication channel. For example, a chatbot may be deployed to enable natural language messaging. Chatbots may be deployed to provide instructions, to obtain survey information, and/or the like in an automated manner.

SUMMARY

According to some implementations, a method may include receiving, by a device, information identifying a communication framework for a mass communication task; determining, by the device, 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; generating, by the device, a recommendation for the communication framework based on the success score and using the mass communication model; altering, by the device, the communication framework to implement the recommendation and generate a modified communication framework; and performing, by the device, the mass communication task using the modified communication framework.

According to some implementations, a device may include 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; and perform the mass communication task using the modified communication framework.

According to some implementations, a non-transitory computer-readable medium may store one or more instructions. The one or more instructions, when executed by one or more processors of a device, may 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; and perform the mass communication task using the modified communication framework.

