Algorithm Research & Explore
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1368-1374,1379

Uyghur sentiment classification based on multi-features and deep neural network

Maimaitiayifu
Wushouer Silamu
Aisikaer Aimudoula
Yang Wenzhong
Palidan Muhetaer
College of Information Science & Engineering, Xinjiang University, Urumqi 830046, China

Abstract

In order to solve the problem of long-distance dependence in traditional machine learning sentiment classification method and the disadvantage of ignoring the emotional lexicon in deep learning, this paper proposed a Uyghur sentiment classification method based on attention mechanism combined with bidirectional long-short term memory network and convolutional neural network model. It used the concatenated multi-feature vector as the input of the bidirectional long short-term memory network to capture the context information, and used the attention mechanism and convolution network to capture text hidden emotional feature information, which effectively enhanced the capture ability of the text sentiment semantics. The experimental results show that the F1 value of this method on two-category and five-category Uyghur sentiment data sets are higher than machine learning method 5.59% and 7.73% respectively.

Foundation Support

国家自然科学基金资助项目(61363063)
国家“973”重点基础研究计划基金资助项目(2014CB340506)
新疆大学多语种重点实验室开放课题(XJDX0905-2013-01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0809
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Algorithm Research & Explore
Pages: 1368-1374,1379
Serial Number: 1001-3695(2020)05-017-1368-07

Publish History

[2020-05-05] Printed Article

Cite This Article

买买提阿依甫, 吾守尔·斯拉木, 艾斯卡尔·艾木都拉, 等. 基于多特征和深度神经网络的维吾尔文情感分类 [J]. 计算机应用研究, 2020, 37 (5): 1368-1374,1379. (Maimaitiayifu, Wushouer Silamu, Aisikaer Aimudoula, et al. Uyghur sentiment classification based on multi-features and deep neural network [J]. Application Research of Computers, 2020, 37 (5): 1368-1374,1379. )

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  • 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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