 Recently, stacked autoencoder framework have shown promising results in predicting popularity of social media posts, which is helpful for online advertisement strategies.Autoencoder has been successfully applied to the machine translation of human languages which is usually referred to as neural machine translation (NMT).In NMT, the language texts are treated as sequences to be encoded into the learning procedure, while in the decoder side the target languages will be generated.