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Document classification is a research topic aiming to predict the overall text sentiment polarity with the advent of deep neural networks. Various deep learning algorithms have been employed in the current studies to improve classification performance. To this end, this paper proposes a hierarchical hybrid neural network with multi-head attention (HHNN-MHA) model on the task of document classification. The proposed model contains two layers to deal with the word-sentence level anddoi:10.4018/ijdwm.303673 fatcat:s7rzpdnzgvdqnd5f3fnpzn7fhq