Given a test example x te with its original view denoted by x te o and antonymous view denoted by x te a , let p o (•|x te o ) be the posterior probability predicted by the original-view classifier h o , and p a (•|x te a ) be the posterior probability predicted by h a .
the dual-view testing process can be formulated as follows: the final positive score is assigned by measuring not only how positive the original review is, but also how negative the antonymous one is; the negative score is assigned by measuring not only how positive the original review is, but also how negative the antonymous one is.