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Algorithm Research & Explore
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752-755

Research on text classification method of multi-class classifier fusion

Li Huifu
Lu Guang
College of Information & Computer Engineering, Northeast Forestry University, Harbin 150040, China

Abstract

Most of the traditional text classification methods use a single classifier, and different classifiers have different emphasis on classification tasks, which makes the single classification method have some limitations. At the same time, each feature extraction method has different angles of considering the feature words. Aiming at the above problems, this paper proposed a text classification method based on multi type classifier fusion, which combined word2vec, principal component analysis, latent semantic indexing and TFIDF feature extraction as feature extraction methods for the multi-type classifier fusion. The weighted voting method of multi-type classifier ignores the category information. This paper proposed a weighted classifier weight calculation method. The experimental results show that the multi classifier fusion method has achieved good performance both in two dimensional, multiple corpora and corpus specific corpus, the classification weighting method of classifier weighting improves the classification performance by 1.19% compared with the multi-type classifier fusion method.

Foundation Support

黑龙江省自然科学基金资助项目(F201201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0908
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 752-755
Serial Number: 1001-3695(2019)03-022-0752-04

Publish History

[2019-03-05] Printed Article

Cite This Article

李惠富, 陆光. 多类型分类器融合的文本分类方法研究 [J]. 计算机应用研究, 2019, 36 (3): 752-755. (Li Huifu, Lu Guang. Research on text classification method of multi-class classifier fusion [J]. Application Research of Computers, 2019, 36 (3): 752-755. )

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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