Similar with<cite> Dasgupta and Ng (2009)</cite>, we divide the 2,000 reviews into ten equal-sized folds randomly and test all the algorithms with crossvalidation. In each folds, 100 reviews are random selected as training data and the remaining 100 data are used for test. Only the reviews in the training data set are used for the selection of labeled data by active learning. The ADN architecture has different number of hidden units for each hidden layer.