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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3594-3598

Text classification model with graph network based on semantic dependency parsing

Fan Guofeng
Liu Jing
Yao Shaowen
Luan Guikai
College of Software, Yunnan University, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0522

Abstract

Due to the problem of the existing text classification methods which left out the semantic dependency information between words and required a lot of training data, this paper proposed a graph network text classification model TextSGN based on semantic dependency parsing. The model first performed semantic dependency parsing on the text, then in the semantic dependency graph, it performed word embedding and one-hot encoding on the nodes(single words) and edges(dependencies). In a further step, this paper proposed a SGN block to mine the semantic dependencies rapidly. The SGN block defined the way of information transmission from the structure level, updated the nodes and the edges in the graph to mine the semantic dependencies quickly and make the network converge faster. The experimental results on a set of open datasets show that Text-SGN achieves 95.2% accuracy in short text classification, which is 3.6% higher than the sub-optimal classification.

Foundation Support

国家自然科学基金资助项目(61363084)
云南大学第四批中青年骨干教师基金资助项目(XT412003)
云南大学师资队伍建设基金资助项目(XT412001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0522
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3594-3598
Serial Number: 1001-3695(2020)12-015-3594-05

Publish History

[2020-12-05] Printed Article

Cite This Article

范国凤, 刘璟, 姚绍文, 等. 基于语义依存分析的图网络文本分类模型 [J]. 计算机应用研究, 2020, 37 (12): 3594-3598. (Fan Guofeng, Liu Jing, Yao Shaowen, et al. Text classification model with graph network based on semantic dependency parsing [J]. Application Research of Computers, 2020, 37 (12): 3594-3598. )

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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