Researchers have been utilizing multiple versions of Seq2Seq (Sutskever et al., 2014) framework to generate online product reviews of good quality, including Aspect-Aware Representations (Ni and McAuley, 2018), Gated Contexts to Sequences (Tang et al., 2016), RNN (Yao et al., 2017), Aspect-Sentiment Score (Zang and Wan, 2017), Generative Concatenative Nets (Lipton et al., 2015) and Sentiment Units (Radford et al., 2017).
(Li et al., 2015) proposed a two-stage LSTM neural network to construct a hierarchical autoencoder for long-text representation and gen-eration.