Text Classification based on Multiple Block Convolutional Highways

23 Jul 2018Seyed Mahdi RezaeiniaAli GhodsiRouhollah Rahmani

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... (read more)

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