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Generating effective label description for label-aware sentiment classification

文献类型：期刊论文

作者Zhu, Xiaofei4; Peng, Zhanwang4; Guo, Jiafeng3; Dietze, Stefan1,2
刊名EXPERT SYSTEMS WITH APPLICATIONS
出版日期2023-03-01
卷号213页码:13
ISSN号0957-4174
关键词Sentiment classification Text summarization Attention network Sentiment analysis
DOI10.1016/j.eswa.2022.119194
英文摘要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.
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
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000890681300006
源URL[http://119.78.100.204/handle/2XEOYT63/20264]  
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.Heinrich Heine Univ Dusseldorf, Inst Comp Sci, D-40225 Dusseldorf, Germany
2.Leibniz Inst Social Sci, Knowledge Technol Social Sci, D-50667 Cologne, Germany
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.Chongqing Univ Technol, Coll Comp Sci & Engn, Chongqing 400054, Peoples R China
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.

入库方式： OAI收割

来源：计算技术研究所

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