We initialize every document a score ("1" denotes positive, and "-1" denotes negative) to represent its degree of sentiment orientation, and we call it sentiment score.
our objective is to maximize the accuracy of assigning a label in C to d i ∈D U (i = 1,…,n) utilizing the training data D L in another domain.