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Algorithm Research & Explore
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1064-1070

Rumor identification research based on sentence-state LSTM

Pang Yuankun
Zhang Yushan
School of Statistics & Mathematics, Guangdong University of Finance & Economic, Guangzhou 510320, China

Abstract

Aiming at the current research on the identification of online rumors, text learning is often affected by the long-distance information loss due to the long-distance reading of the text or the long-term input representation in order to capture local information, which affects the identification result. This paper proposed the S-LSTM algorithm which used it to aggregate sentences while retaining the word node information, thereby retaining the local and global information of the sentence, thereby improving the accuracy and effectiveness of network rumors identification. In comparison with several deep network rumor identification methods such as TextGCN, Bi-GCN, and Att_BiLSTM, the accuracy of this method on the two sets of model tests reaches 78.87% and 90.30%, respectively, and achieves good results. The result proves that the rumor identification effect can be improved in the case of considering the global information of the sentence.

Foundation Support

国家自然科学基金资助项目(61876207)
广东省基础与应用基础研究基金资助项目(2020A1515011405)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0372
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Algorithm Research & Explore
Pages: 1064-1070
Serial Number: 1001-3695(2022)04-018-1064-07

Publish History

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

Cite This Article

庞源焜, 张宇山. 句子级状态下LSTM对谣言鉴别的研究 [J]. 计算机应用研究, 2022, 39 (4): 1064-1070. (Pang Yuankun, Zhang Yushan. Rumor identification research based on sentence-state LSTM [J]. Application Research of Computers, 2022, 39 (4): 1064-1070. )

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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