Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 3
663-667,672

Hybrid CNN-ELM model for short text classification

Han Zhonghe1
Xia Zhanguo1
Yang Ting2
1. College of Computer Science & Technology, China University of Mining & Technology, Xuzhou Jiangsu 221000, China
2. Institute of Electronics, Chinese Academy of Science, Suzhou Jiangsu 215000, China
DOI: 10.19734/j.issn.1001-3695.2017.09.0930

Abstract

In current natural language processing research, people can combine different neural network structure and classification algorithm when using convolution neural network(CNN) to conduct text classification tasks so as to improve the classification performance. Thus, this paper proposed a hybrid CNN-ELM model for short text classification. Firstly, the model used word vectors to represent sentence as the input data. Secondly, it extracted features through CNN and completed features optimization with Highway network. Finally, it used error minimization extreme learning machine(EM-ELM) as a classifier to complete text classification task. Compared with other models, the proposed model could extract more representative features and output classification results more quickly and accurately. According to the experimental results in various English data sets, the proposed model is more suitable for short text classification tasks than traditional machine learning models and deep learning models.

Foundation Support

国家自然科学基金资助项目(61572506)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0930
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 663-667,672
Serial Number: 1001-3695(2019)03-004-0663-05

Publish History

[2019-03-05] Printed Article

Cite This Article

韩众和, 夏战国, 杨婷. CNN-ELM混合短文本分类模型 [J]. 计算机应用研究, 2019, 36 (3): 663-667,672. (Han Zhonghe, Xia Zhanguo, Yang Ting. Hybrid CNN-ELM model for short text classification [J]. Application Research of Computers, 2019, 36 (3): 663-667,672. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)