Specifically, the model first generates a sequenceŷ based on the input text x and the target sentiment intensity value v y , and then reconstructs the source input x based onŷ and the source sentiment intensity value v x .
the gradient of the cycle reconstruction loss is defined as: (12) where S refers to the Seq2SeniSeq model.