Multimodal DBN for Predicting High-Quality Answers in cQA portals

  title={Multimodal DBN for Predicting High-Quality Answers in cQA portals},
  author={Haifeng Hu and Bingquan Liu and Baoxun Wang and Ming Liu and Xiaolong Wang},
In this paper, we address the problem for predicting cQA answer quality as a classification task. We propose a multimodal deep belief nets based approach that operates in two stages: First, the joint representation is learned by taking both textual and non-textual features into a deep learning network. Then, the joint representation learned by the network is used as input features for a linear classifier. Extensive experimental results conducted on two cQA datasets demonstrate the effectiveness… CONTINUE READING
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