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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3558-3564

Text sentiment classification model based on BiGRU-attention neural network

Wang Weia,b
Sun Yuxiab
Qi Qingjiec
Meng Xiangfub
a. Institute of Science & Technology, b. College of Electronic & Information Engineering, c. College of Mining Technology, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0413

Abstract

The BiLSTM neural network model has long training time and cannot fully learn text sentiment information. In order to solve the problems, this paper proposed a text sentiment classification model based on BiGRU-attention neural network. Firstly, it used the bidirectional gated recurrent unity(BiGRU) neural network layer to extract the features of the deep text information. Secondly, it used the attention mechanism(attention) layer to allocate the corresponding weight of the extracted text deep information. Finally, it put the text feature messages of different weights into the softmax function layer to carry out the text sentiment classifications. The experimental results on the IMDB data set show that the accuracy of the proposed neural network model is 90.54%, the loss rate is 0.2430 and the time cost is 1 100 s and the validity of the BiGRU-attention model is verified.

Foundation Support

国家自然科学基金资助项目(61772249)
2016年辽宁省教育厅城市研究院一般项目(LJCL008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0413
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3558-3564
Serial Number: 1001-3695(2019)12-008-3558-07

Publish History

[2019-12-05] Printed Article

Cite This Article

王伟, 孙玉霞, 齐庆杰, 等. 基于BiGRU-attention神经网络的文本情感分类模型 [J]. 计算机应用研究, 2019, 36 (12): 3558-3564. (Wang Wei, Sun Yuxia, Qi Qingjie, et al. Text sentiment classification model based on BiGRU-attention neural network [J]. Application Research of Computers, 2019, 36 (12): 3558-3564. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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