1. An improved method for generating responses to user communications comprising: receiving, by at least one server communicatively coupled to a user device, a user communication; applying, by a response generation module of the at least one server, a generative adversarial network to the user communication to generate an optimal generated response to 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, wherein applying the generative adversarial network comprises: generating, via the generator component, a plurality of computer generated responses responsive to the user communication, and selecting, via the discriminator component, an optimal computer generated response from among the generated plurality of computer generated responses; and transmitting, by the at least one server, the optimal generated response to the user communication to a user of the user device.
1. An improved method for generating responses to user communications comprising: receiving, by at least one server communicatively coupled to a user device, a user communication; applying, by a response generation module of the at least one server, a generative adversarial network to the user communication to generate an optimal generated response to 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, wherein applying the generative adversarial network comprises: generating, via the generator component, a plurality of computer generated responses responsive to the user communication, and selecting, via the discriminator component, an optimal computer generated response from among the generated plurality of computer generated responses; and transmitting, by the at least one server, the optimal generated response to the user communication to a user of the user device. 2. The method of claim 1 , further comprising training the generative adversarial network by: 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.