In this paper, we develop a novel semi-supervised learning algorithm called hybrid deep belief networks (HDBN), to address the semi-supervised sentiment classification problem with deep learning. First, we construct the previous several hidden layers using restricted Boltzmann machines (RBM), which can reduce the dimension and abstract the information of the reviews quickly. Second, we construc...

Tweets ranking is important for information acquisition in Microblog. Due to the content sparsity and lack of labeled data, it is better to employ semi-supervised learning methods to utilize the unlabeled data. However, most of previous semi-supervised learning methods do not consider the pair conflict problem, which means that the new selected unlabeled data may have order conflict with the la...