Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
64-67

Tree-structured networks based on polarity shifting and LSTM for sentences classification

Wang Ran
Jin Zhong
School of Computer Science & Engineering, Nanjing University of Science & Technology, Nanjing 210018, China
DOI: 10.19734/j.issn.1001-3695.2017.07.0669

Abstract

Long short term memory(LSTM) is a recurrent neural network(RNN) which has outstanding ability to preserve sequence information for a long time. It has been widely used in the language modeling, machine translation, speech recognition and other fields. Firstly, this paper explored how the predecessors extended the memory module in LSTM to the syntax tree to get tree-structured LSTM networks model which could obtain and store the semantic structure information of the sentences. Then, according to the polarity shifting information between the words of sentences, it proposed a polarity shifting tree-structured LSTM networks model to capture the sentiment information for better sentences classification. The proposed model show a better performance than LSTM, recursive neural networks and other models for sentences classification on Stanford sentiment tree-bank dataset.

Foundation Support

国家自然科学基金资助项目(61373063,61375007,61233011)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.07.0669
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Algorithm Research & Explore
Pages: 64-67
Serial Number: 1001-3695(2019)01-014-0064-04

Publish History

[2019-01-05] Printed Article

Cite This Article

汪冉, 金忠. 基于极性转移和LSTM的树结构网络与句子分类 [J]. 计算机应用研究, 2019, 36 (1): 64-67. (Wang Ran, Jin Zhong. Tree-structured networks based on polarity shifting and LSTM for sentences classification [J]. Application Research of Computers, 2019, 36 (1): 64-67. )

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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.

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