南方科技大学知识苑(SUSTech KC): A hierarchical neural model for target-based sentiment analysis

题名	A hierarchical neural model for target-based sentiment analysis
作者	Chen, Ke 1; Ke, Wende2
通讯作者	Chen, Ke
发表日期	2021
DOI	10.1002/cpe.6184
发表期刊	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 影响因子和分区
ISSN	1532-0626
EISSN	1532-0634
卷号	33
摘要	A convolutional neural network-regional long Short-Term memory (CNN-RLSTM) is proposed, which is a convolutional neural network-regional long short-term memory (CNN-RLSTM) that combines CNN and regional LSTM. The model can effectively distinguish the affective polarity of different targets through a regional LSTM while reducing the training time of the model. In addition, the model can retain the sentiment information of the whole sentence through a CNN network at the sentence level. Experimental results on different data sets show that the CNN-RLSTM model is better than the traditional model and the deep network model.
关键词	convolutional neural network deep learning hierarchical neural model long short‐ term memory network sentiment analysis target‐ based sentiment analysis
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	其他
资助项目	Shenzhen Science and Innovation Commission[201803023000889] ; Guangdong Province Natural Science Foundation of China["2018A030307032","2018A030307078","2019A1515011402"] ; Key Platform and Scientific Research Projects of Guangdong Education Department["2016KQNCX105","2017KTSCX128","2020ZDZX3038"]
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000605075800001
出版者	WILEY
EI入藏号	20210209754217
EI主题词	Brain ; Convolution ; Convolutional neural networks ; Sentiment analysis
EI分类号	Biomedical Engineering:461.1 ; Information Theory and Signal Processing:716.1
ESI学科分类	COMPUTER SCIENCE
来源库	Web of Science
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/221035
专题	工学院_机械与能源工程系
作者单位	1.Guangdong Univ Petrochem Technol, Coll Comp, Maoming 525000, Guangdong, Peoples R China 2.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Chen, Ke,Ke, Wende. A hierarchical neural model for target-based sentiment analysis[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2021,33.
APA	Chen, Ke,&Ke, Wende.(2021).A hierarchical neural model for target-based sentiment analysis.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,33.
MLA	Chen, Ke,et al."A hierarchical neural model for target-based sentiment analysis".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 33(2021).