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Algorithm Research & Explore
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3282-3285

Text sentiment analysis based on recurrent neural networks and attention model

Hu Ronglei
Rui Lu
Qi Xiao
Zhang Xinran
Dept. of Electronic & Communication Engineering, Beijing Electronic Science & Technology Institute, Beijing 100070, China

Abstract

This paper proposed a text sentiment analysis scheme based on long short-term memory(LSTM) networks and feedforward attention model. It added feedforward attention model to basic long short-term memory networks. The scheme was implemented under the framework of TensorFlow deep learning. According to the precision, recall and F1 measures, compared with the existing scheme, the results show that the proposed model has obvious advantages over the traditional machine learning method and the traditional long short-term memory networks.

Foundation Support

国家自然科学基金面上项目(61772047)
中央高校基本科研业务费资助项目(2017LG-01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0300
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3282-3285
Serial Number: 1001-3695(2019)11-018-3282-04

Publish History

[2019-11-05] Printed Article

Cite This Article

胡荣磊, 芮璐, 齐筱, 等. 基于循环神经网络和注意力模型的文本情感分析 [J]. 计算机应用研究, 2019, 36 (11): 3282-3285. (Hu Ronglei, Rui Lu, Qi Xiao, et al. Text sentiment analysis based on recurrent neural networks and attention model [J]. Application Research of Computers, 2019, 36 (11): 3282-3285. )

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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