Generating effective label description for label-aware sentiment classification

doi:10.1016/j.eswa.2022.119194

	Generating effective label description for label-aware sentiment classification
	Zhu, Xiaofei 1; Peng, Zhanwang 1; Guo, Jiafeng 2; Dietze, Stefan 3,4
	2023-03-01
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	213 页码:13
摘要	Sentiment classification aims to predict the sentiment label for a given text. Recently, several research efforts have been devoted to incorporate matching clues between text words and class labels into the learning process of text representation. However, these methods heavily rely on the availability of label content. Moreover, they simply capture the label-specific signals to measure each word's contribution by either implicitly employing a learnable label representation or explicitly leveraging the interaction between text words and labels via the interaction mechanism. To deal with these issues, in this paper, we propose a novel framework called Label-Guided Dual-view Sentiment Classifier (LGDSC). We first introduce a new strategy for generating an effective label description and then design a novel Dual-Channel Label-guided Attention Network (DLAN) to learn a text representation via two different channels. DLAN will be further leveraged to learn label -guided text representations from two different views. Extensive experimental results on four real-world datasets demonstrate that LGDSC consistently outperforms the state-of-the-art baseline methods.
关键词	Sentiment classification Text summarization Attention network Sentiment analysis
DOI	10.1016/j.eswa.2022.119194
收录类别	SCI
语种	英语
资助项目	National Natural Science Founda-tion of China ; Major Project of Science and Technology Research Program of Chongqing Education Commis-sion of China ; Federal Ministry of Education and Research, Germany ; [62141201] ; [KJZD-M202201102] ; [01LE1806A]
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000890681300006
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/20265
专题	中国科学院计算技术研究所期刊论文
通讯作者	Zhu, Xiaofei
作者单位	1.Chongqing Univ Technol, Coll Comp Sci & Engn, Chongqing 400054, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Leibniz Inst Social Sci, Knowledge Technol Social Sci, D-50667 Cologne, Germany 4.Heinrich Heine Univ Dusseldorf, Inst Comp Sci, D-40225 Dusseldorf, Germany
推荐引用方式 GB/T 7714	Zhu, Xiaofei,Peng, Zhanwang,Guo, Jiafeng,et al. Generating effective label description for label-aware sentiment classification[J]. EXPERT SYSTEMS WITH APPLICATIONS,2023,213:13.
APA	Zhu, Xiaofei,Peng, Zhanwang,Guo, Jiafeng,&Dietze, Stefan.(2023).Generating effective label description for label-aware sentiment classification.EXPERT SYSTEMS WITH APPLICATIONS,213,13.
MLA	Zhu, Xiaofei,et al."Generating effective label description for label-aware sentiment classification".EXPERT SYSTEMS WITH APPLICATIONS 213(2023):13.