Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3646-3650

Sarcasm detection based on transfer learning

Li Lei'ang
Ma Hongchao
Zhou Qinglei
College of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2021.05.0177

Abstract

Accurate sarcasm detection is crucial for sentiment analysis and other tasks. Traditional approaches rely heavily on discrete handcrafted features. Existing studies mostly formulate sarcasm detection as a standard supervised learning text categorization task, relying on explicit expressions for detecting context incongruity. But supervised learning requires a lot of data, the collection and tagging of these data are difficult. Due to the limited target tasks, it may lead to the low performance of sarcasm detection. Therefore, this paper regarded sarcasm detection as a transfer learning task, combined the supervised learning of sarcasm labeled text with the knowledge transfer of external analytical resources. It improved the neural network model by transferring resource knowledge to improve the detection performance of target task. Experimental results on publicly available datasets show that the proposed sarcasm detection model based on migration learning is superior to the existing advanced sarcasm detection model.

Foundation Support

国家自然科学基金资助项目(61572444)
国家重点研发计划资助项目(2016YFB0800100)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.05.0177
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Algorithm Research & Explore
Pages: 3646-3650
Serial Number: 1001-3695(2021)12-021-3646-05

Publish History

[2021-12-05] Printed Article

Cite This Article

李垒昂, 马鸿超, 周清雷. 基于迁移学习的讽刺检测 [J]. 计算机应用研究, 2021, 38 (12): 3646-3650. (Li Lei'ang, Ma Hongchao, Zhou Qinglei. Sarcasm detection based on transfer learning [J]. Application Research of Computers, 2021, 38 (12): 3646-3650. )

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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