Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1045-1050

Automatic digest optimization algorithm based on TextRank

Li Nana1,2
Liu Peiyu1,2
Liu Wenfeng1,3
Liu Weitong1,2
1. School of Information Science & Engineering, Shandong Normal University, Jinan 250358, China
2. Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan 250358, China
3. School of Computer Science, Heze University, Heze Shandong 274015, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0786

Abstract

When abstracting Chinese texts, the traditional TextRank algorithm only considers the similarity between nodes and neglects other important information of the text. Firstly, aiming at Chinese single document, on the basis of existing research, this paper used TextRank algorithm, on the one hand, it considered the similarities between sentences, on the other hand, TextRank was combined with the overall structural information of texts and the contextual information of sentences, such as the physical position of the document sentences or paragraph, feature sentences, core sentences and other sentences that might increase the weight of the sentence, all were used to generate the digest candidate sentence group of the text. And then, removing high-similarity sentences by redundancy processing technology on the digest candidate sentence group. Finally, the experimental verification shows that the algorithm can improve the accuracy of the generated digest, indicating the effectiveness of the algorithm.

Foundation Support

国家自然科学基金资助项目(61373148)
国家青年自然科学基金资助项目(61502151)
山东省社科规划项目(17CHLJ18,17CHLJ33,17CHLJ30)
山东省自然科学基金资助项目(ZR2014FL010)
山东省教育厅基金资助项目(J15LN34)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0786
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Algorithm Research & Explore
Pages: 1045-1050
Serial Number: 1001-3695(2019)04-019-1045-06

Publish History

[2019-04-05] Printed Article

Cite This Article

李娜娜, 刘培玉, 刘文锋, 等. 基于TextRank的自动摘要优化算法 [J]. 计算机应用研究, 2019, 36 (4): 1045-1050. (Li Nana, Liu Peiyu, Liu Wenfeng, et al. Automatic digest optimization algorithm based on TextRank [J]. Application Research of Computers, 2019, 36 (4): 1045-1050. )

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  • 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.

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