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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3705-3708,3712

Text classification of big data using distributed NBC under Spark framework

Zang Yanhui1
Zhao Xuezhang1
Xi Yunjiang2
1. Foshan Polytechnic, Foshan Guangdong 528137, China
2. South China University of Technology, Guangzhou 510641, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0407

Abstract

Aiming at the challenges faced by the existing big data-oriented computing framework in the study of extensible machine learning, this paper proposed a distributed naive Bayesian text classification method based on MapReduce and Apache Spark framework. This method explored the Bayesian network classifier by studying the adaptability of MapReduce and Apache Spark frameworks, and studied the existing computing framework for big data. First, it divided the training sample data set into m classes based on the naive Bayes text classification model. In the training phase, it used the output of the previous MapReduce as the input of the next MapReduce, and used four MapReduce jobs to derive the model. This design process made full use of the parallel advantages of MapReduce. Finally, when the classifier was tested, it obtained the value of the class label which the maximum value belonged. Experiments in the Newgroup's dataset show the proposed method achieves more than 99% of the results on all five types of news data sets, and is all higher than the comparison algorithms, which prove the accuracy of the method.

Foundation Support

国家自然科学基金资助项目(71371077)
佛山市科技计划项目(2015AB00 4241)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0407
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3705-3708,3712
Serial Number: 1001-3695(2019)12-039-3705-04

Publish History

[2019-12-05] Printed Article

Cite This Article

臧艳辉, 赵雪章, 席运江. Spark框架下利用分布式NBC的大数据文本分类方法 [J]. 计算机应用研究, 2019, 36 (12): 3705-3708,3712. (Zang Yanhui, Zhao Xuezhang, Xi Yunjiang. Text classification of big data using distributed NBC under Spark framework [J]. Application Research of Computers, 2019, 36 (12): 3705-3708,3712. )

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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