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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2303-2307

Chinese text sentiment analysis based on ELMo and Bi-SAN

Li Zheng
Chen Li
Zhang Shuang
School of Information Science & Technology, Northwest University, Xi'an 710127, China
DOI: 10.19734/j.issn.1001-3695.2020.12.0543

Abstract

Current sentiment analysis models usually use word2vec, GloVe and other methods to generate static word embedding, and traditional convolutional or recurrent depth models cannot fully focus on the context, extract insufficiently features, and reduce the accuracy of sentiment judgment. This paper proposed a Chinese text sentiment analysis model based on ELMo and Bi-SAN. Firstly, through ELMo language model training, the model got the word vector that integrated the word itself and context information to solve the problem of ambiguity of a word. Meanwhile, it used pre-trained skip-gram algorithm to replace the embedding layer of the randomly initialized ELMo model and improved the convergence speed of the model. Then the mo-del used Bi-SAN to extract features. Due to the self-attention mechanism, Bi-SAN could fully focus on the context of each word and extract features more comprehensively. Compared with multiple existing sentiment analysis models, the proposed model achieves higher F1 in the hotel review dataset and the NLPCC2014 task2 Chinese dataset, which validates the effectiveness of the model.

Foundation Support

国家重点研发资助项目(2020YFC1523301)
陕西省重点研发计划资助项目(2019ZDLGY10-01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0543
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2303-2307
Serial Number: 1001-3695(2021)08-010-2303-05

Publish History

[2021-08-05] Printed Article

Cite This Article

李铮, 陈莉, 张爽. 基于ELMo和Bi-SAN的中文文本情感分析 [J]. 计算机应用研究, 2021, 38 (8): 2303-2307. (Li Zheng, Chen Li, Zhang Shuang. Chinese text sentiment analysis based on ELMo and Bi-SAN [J]. Application Research of Computers, 2021, 38 (8): 2303-2307. )

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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