Instead of using basic CNN, a new recurrent sequential CNN is used by <cite>Zahiri and Choi (2018)</cite> . All the models discussed above show that the emotion prediction can be handled using variants of deep neural network such as C-GRU, G-RNN and Sequential-CNN. The commonality between the above models are the variations of RNN or LSTM. This motivated us to use the Sequenceto-Sequence (Seq2Seq) model which consists of stacked LSTMs to predic the emotion labels conditioned on the given utterance sequences.