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Algorithm Research & Explore
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1043-1048

NEMTF: method of news Web content extraction based on multi-dimensional text features

Weng Binyue1,2
Qin Yongbin1,2
Huang Ruizhang1,2
Ren Lina1,2,3
Tian Yuelin1,2
1. College of Computer Science & Technology, Guizhou University, Guiyang 550025, China
2. Guizhou Provincial Key Laboratory of Public Big Data, Guiyang 550025, China
3. Guizhou Light Industry Technical College, Guiyang 550025, China

Abstract

At present, there are two major problems in the mainstream webpage extraction methods: the extraction information type is single, and it is difficult to obtain multiple kinds of news information. More reliance on HTML tags, its difficult to extend to different sources. Therefore, this paper proposed an information extraction method of news Web pages based on multidimensional text features. It divided writing, semantic and location features into writing features by using the writing features of news texts. And it used multi-channel convolutional neural network to fuse multi-dimensional text features to extract multiple types of news Web pages. Only a small amount of data set training was required to extract news Web page information from new sources. Experimental results show that the performance of this method is better than the current optimal method.

Foundation Support

国家自然科学基金通用联合基金重点资助项目(U1836205)
国家自然科学基金重大研究计划资助项目(91746116)
国家自然科学基金资助项目(62066007,62066008)
贵州省科技重大专项计划资助项目(黔科合重大专项字[2017]3002)
贵州省科学技术基金重点资助项目(黔科合基础[2020]1Z055)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0407
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Algorithm Research & Explore
Pages: 1043-1048
Serial Number: 1001-3695(2022)04-014-1043-06

Publish History

[2021-12-08] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

翁彬月, 秦永彬, 黄瑞章, 等. NEMTF:基于多维度文本特征的新闻网页信息提取方法 [J]. 计算机应用研究, 2022, 39 (4): 1043-1048. (Weng Binyue, Qin Yongbin, Huang Ruizhang, et al. NEMTF: method of news Web content extraction based on multi-dimensional text features [J]. Application Research of Computers, 2022, 39 (4): 1043-1048. )

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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