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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
144-147

Context feature and its application on sentiment classification model

Liu Donga
Zhang Caihuanb
a. School of Information Technology, b. School of Mathematics, Luoyang Normal University, Luoyang Henan 471022, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0459

Abstract

This paper focused on the effect of context feature on sentiment classification problem, and presented a hierarchical Bi-LSTM sentiment classification model. The model includes two level Bi-LSTMs. The model accepted a series of word embedding as input in sentence-level. The context feature of whole document was transformed into a dense and continuous vector, concatenated with output vectors of the sentence-level Bi-LSTMs and fed into sigmoid layer to predict sentiment polarity of the document. Intuitively, the model computed a context vector mask for every sentence in document. The consistence polarity was enhanced, and the inconsistent was weakened. This resulted in better accuracy. The experiment on IMDB and Yelp 2013 dataset shows that this hierarchical model with context feature outperforms the common LSTM and Bi-LSTM models significantly, and is competitive with the state-of-the-art results. Experiment on another dataset including 20 thousands Chinese reviews was used to analyze the causes of this competitive advantage.

Foundation Support

政府间国际科技创新合作重点专项资助项目(2016YFE0104600)
河南省科技攻关资助项目(182102210434)
河南省高等学校重点科研项目(15A520024)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0459
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 144-147
Serial Number: 1001-3695(2020)01-030-0144-04

Publish History

[2020-01-05] Printed Article

Cite This Article

刘栋, 张彩环. 情境特征及其在情感分类模型中的应用 [J]. 计算机应用研究, 2020, 37 (1): 144-147. (Liu Dong, Zhang Caihuan. Context feature and its application on sentiment classification model [J]. Application Research of Computers, 2020, 37 (1): 144-147. )

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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