9. An improved system for generating responses to user communications comprising: at least one server communicatively coupled to a user device by a network, wherein the at least one server further comprises a non-transitory memory storing computer-readable instructions and at least one processor; the execution of the computer-readable instructions causing the at least one server to: receive, from the user device, a user communication; apply, by a response generation module of the at least one server, an generative adversarial network to the user communication to generate an optimal generated response of the user communication, the generative adversarial network comprising a generator component and a discriminator component, wherein said discriminator component comprises a convolutional neural network and a recurrent neural network, and wherein application of the generative adversarial network further comprises: generation, via the generator component, of a plurality of computer generated responses responsive to the user communication, and selection, via the discriminator component, of an optimal computer generated response form among the plurality of computer generated responses; and transmit the optimal generated response to the user communication to a user of the user device.
9. An improved system for generating responses to user communications comprising: at least one server communicatively coupled to a user device by a network, wherein the at least one server further comprises a non-transitory memory storing computer-readable instructions and at least one processor; the execution of the computer-readable instructions causing the at least one server to: receive, from the user device, a user communication; apply, by a response generation module of the at least one server, an generative adversarial network to the user communication to generate an optimal generated response of the user communication, the generative adversarial network comprising a generator component and a discriminator component, wherein said discriminator component comprises a convolutional neural network and a recurrent neural network, and wherein application of the generative adversarial network further comprises: generation, via the generator component, of a plurality of computer generated responses responsive to the user communication, and selection, via the discriminator component, of an optimal computer generated response form among the plurality of computer generated responses; and transmit the optimal generated response to the user communication to a user of the user device. 11. The system of claim 9 , wherein the generator component and the discriminator component are trained by the steps of: providing training data to the generator component of the generative adversarial network, generating, by the generator component, computer responses to the training data, evaluating, by the discriminator component of the generative adversarial network, the generated computer responses by at least one comparison to the training data, ranking, by the discriminator component, the generated computer responses, and adjusting one or more parameters of the generator component based on the ranking of the generated computer responses.