This way, the learning of Θ depends not only on D a but also on D s , i.e., the sentimentlabeled training data from the source domain.
we use Θ to denote the parameters for a neural network that takes the original sentence x and transforms it to a sentence embedding (and f Θ the corresponding transformation function).