Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 2
360-364

Target-specific sentiment analysis based on CRT mechanism hybrid neural network

Meng Wei1a,1b
Wei Yongqing1b,2
Liu Wenfeng1a,3
1. a. School of Information Science & Engineering, b. Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Shandong Normal University, Jinan 250014, China
2. Basic Education Dept. , Shandong Police College, Jinan 250014, China
3. School of Computer Science, Heze University, Heze Shandong 274015, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0538

Abstract

The purpose of target-specific affective analysis is to predict the sentiment of a text from the perspective of different target words. The key is to assign appropriate affective words to a given target. When there are more than one affective word describing multiple target sentiments in a sentence, it may lead to the mismatch between the affective word and the target. This paper proposed a hybrid neural network based on CRT mechanism for target-specific sentiment analysis. The model used CNN layer to extract features from the word representation after BiLSTM transformation. It generated the specific target representation of the word by CRT component and saved the original context information from BiLSTM layer. Experiments on three open datasets show that the proposed model can significantly improve the accuracy and stability of target-specific affective analysis tasks compared with previous models. It is proved that the CRT mechanism can integrate the advantages of CNN and LSTM well, which is of great significance to the task of sentiment analysis for specific targets.

Foundation Support

国家自然科学基金资助项目(61373148)
国家自然科学基金青年基金资助项目(61502151)
山东省社科规划项目(17CHLJ18,17CHLJ33,17CHLJ30)
山东省自然科学基金资助项目(ZR2014FL010)
山东省教育厅基金资助项目(J15LN34)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0538
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 360-364
Serial Number: 1001-3695(2020)02-009-0360-05

Publish History

[2020-02-05] Printed Article

Cite This Article

孟威, 尉永清, 刘文锋. 基于CRT机制混合神经网络的特定目标情感分析 [J]. 计算机应用研究, 2020, 37 (2): 360-364. (Meng Wei, Wei Yongqing, Liu Wenfeng. Target-specific sentiment analysis based on CRT mechanism hybrid neural network [J]. Application Research of Computers, 2020, 37 (2): 360-364. )

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  • Application Research of Computers Monthly Journal
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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.

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