Automatic generation of sentimental texts via mixture adversarial networks

Automatic generation of texts with different sentiment labels has wide use in artificial intelligence applications such as conversational agents. It is an important problem to be addressed for achieving emotional intelligence. In this paper, we propose two novel models, SentiGAN and C-SentiGAN, which have multiple generators and one multi-class discriminator, to address this problem. In our models, multiple generators are trained simultaneously,...