Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts

  title={Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts},
  author={Xingyou Wang and Weijie Jiang and Zhiyong Luo},
Sentiment analysis of short texts is challenging because of the limited contextual information they usually contain. In recent years, deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have been applied to text sentiment analysis with comparatively remarkable results. In this paper, we describe a jointed CNN and RNN architecture, taking advantage of the coarse-grained local features generated by CNN and long-distance dependencies learned via… CONTINUE READING
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