Is it possible to use Generative Adversarial Networks (GANs) for text classification? I am working on the classification of fake and real news. I did use a CNN Model for this problem and got satisfactory results. But, I was just wondering if it's at all possible to use any type of GAN for this sort of a problem.
(without philosophically adding some layers on top of GANS) answer is NO.

You can expect to generate images, news etc (generative adverserial network) but not to actually perform classification