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 |
关键词 | Sentiment classification Text summarization Attention network Sentiment analysis |
ISSN号 | 0957-4174 |
DOI | 10.1016/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 |
WOS记录号 | WOS:000890681300006 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。