ZHOU Chuanhua, ZHOU Jiayi, YU Cai, ZHAO Wei, PAN Ruilin. Multi-channel Sliced Deep RCNN with Residual Network for Text Classification[J]. Chinese Journal of Electronics, 2020, 29(5): 880-886. DOI: 10.1049/cje.2020.08.003
Citation: ZHOU Chuanhua, ZHOU Jiayi, YU Cai, ZHAO Wei, PAN Ruilin. Multi-channel Sliced Deep RCNN with Residual Network for Text Classification[J]. Chinese Journal of Electronics, 2020, 29(5): 880-886. DOI: 10.1049/cje.2020.08.003

Multi-channel Sliced Deep RCNN with Residual Network for Text Classification

  • We propose a multi-channel sliced deep Recurrent convolutional neural network (RCNN) with a residual network. We expand the RCNN into a deep neural network. Our proposed model can directly learn to extract bigram features and other features from sentences where other machine learning methods cannot. The experimental results indicate that our model outperforms the traditional methods.
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