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Algorithm Research & Explore
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3544-3547

Off-topic essay detection based on LDA coupling space

Meng Chaoying
Song Wen'ai
Fu Lizhen
School of Software, North University of China, Taiyuan 030051, China

Abstract

The traditional method of off-topic essay detection was mostly by transforming the text into vector space vector representation, then calculating the similarity between the correct text and the result of the problem. However, this method only took the representation of the sentence structure, yet neglected the semantic relevance of the article. And the off-topic essay detection result of high composition test was low. In view of the above problems, this paper proposed a method that used the topic and the text theme words in the coupling space to calculate its correlation degree, and then through the clustering method to realize the unsupervised composition test. The experimental results show that the composition test method based on the coupled space model has a certain degree of improvement to the essays with high divergence and low divergence, in which the composition of the topic with higher divergence is more obvious.

Foundation Support

国家自然科学基金资助项目(61602427)
山西省自然科学基金资助项目(201601D202037)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0590
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3544-3547
Serial Number: 1001-3695(2019)12-005-3544-04

Publish History

[2019-12-05] Printed Article

Cite This Article

孟超颖, 宋文爱, 富丽贞. 基于LDA耦合空间模型的作文跑题检测方法研究 [J]. 计算机应用研究, 2019, 36 (12): 3544-3547. (Meng Chaoying, Song Wen'ai, Fu Lizhen. Off-topic essay detection based on LDA coupling space [J]. Application Research of Computers, 2019, 36 (12): 3544-3547. )

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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