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Algorithm Research & Explore
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2684-2688

Multi-label annotation of text via double-view projection representation

Wen Wen1
Wei Bin1
Du Wenjun3
Cai Ruichu1
Hao Zhifeng1,2
1. School of Computer Science & Technology, Guangdong University of Technology, Guangzhou 510006, China
2. School of Mathematics & Big Data, Foshan University, Foshan Guangdong 528000, China
3. School of Business Administration, Northeast University, Shenyang 110004, China

Abstract

In the field of traditional multi-label text annotation, it faces the problem of dimensional disaster and dual information source data. Hence, this paper proposed a text multi-label annotation of text via double-view projection representation. It optimized the objective function by alternating direction multiplier method and Bregman iteration to obtain low-dimensional implicit semantic projection space. The experimental result on the news datasets of Yahoo and Reuters shows that this method has been significantly improved in solving the problem of multi-label labeling of texts. It is superior to other methods in recent years in terms of recall rate, coverage error, and ranking average precision, and it can be applied to news recommendations, tagging systems and sentiment analysis.

Foundation Support

国家自然科学基金资助项目(61876043)
NSFC-广东联合基金资助项目(U1501254)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0123
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2684-2688
Serial Number: 1001-3695(2020)09-024-2684-05

Publish History

[2020-09-05] Printed Article

Cite This Article

温雯, 韦滨, 杜文俊, 等. 基于双视角投影空间表示的文本多标签标注方法 [J]. 计算机应用研究, 2020, 37 (9): 2684-2688. (Wen Wen, Wei Bin, Du Wenjun, et al. Multi-label annotation of text via double-view projection representation [J]. Application Research of Computers, 2020, 37 (9): 2684-2688. )

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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