Corpus ID: 50786303

Text Classification based on Multiple Block Convolutional Highways

@article{Rezaeinia2018TextCB,
  title={Text Classification based on Multiple Block Convolutional Highways},
  author={S. M. Rezaeinia and A. Ghodsi and R. Rahmani},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.09602}
}
  • S. M. Rezaeinia, A. Ghodsi, R. Rahmani
  • Published 2018
  • Computer Science
  • ArXiv
  • In the Text Classification areas of Sentiment Analysis, Subjectivity/Objectivity Analysis, and Opinion Polarity, Convolutional Neural Networks have gained special attention because of their performance and accuracy. In this work, we applied recent advances in CNNs and propose a novel architecture, Multiple Block Convolutional Highways (MBCH), which achieves improved accuracy on multiple popular benchmark datasets, compared to previous architectures. The MBCH is based on new techniques and… CONTINUE READING

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