Hybrid Deep Belief Networks for Semi-supervised Sentiment Classification

  title={Hybrid Deep Belief Networks for Semi-supervised Sentiment Classification},
  author={Shusen Zhou and Qingcai Chen and Xiaolong Wang and Xiaoling Li},
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 construct the following hidden layers using convolutional restricted Boltzmann machines (CRBM), which can… CONTINUE READING
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Empirical evaluation of convolutional rbms for vision

  • Guillaume Desjardins, Yoshua Bengio.
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  • 2008
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