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Exploring user historical semantic and sentiment preference for microblog sentiment classification

文献类型：期刊论文

作者Zhu, Xiaofei1; Wua, Jie1,2; Zhu, Ling1; Guo, Jiafeng3; Yu, Ran4; Boland, Katarina5,6; Dietze, Stefan5,6
刊名NEUROCOMPUTING
出版日期2021-11-13
卷号464页码:141-150
关键词Microblog analysis Sentiment classification User historical preference
ISSN号0925-2312
DOI10.1016/j.neucom.2021.08.089
英文摘要Microblog text is usually very short, thereby challenging existing sentiment classification methods by providing models with little context. Recently, historical user information has been widely used in many real-world applications, such as recommender systems. However, few research works consider user historical states in the loop of microblog sentiment analysis. In this work, we propose to involve historical user information for microblog sentiment analysis to alleviate the context sparsity problem. In particular, we propose a novel neural microblog sentiment classification method which learns informative representations of microblog posts by exploiting both a user's contextual information and his/her historical state information. The proposed method consists of four components, i.e., a micropost encoder, a user historical sentiment encoder, a User Historical Semantic Encoder, and a micropost sentiment classification component. Extensive experiments are conducted on real-world data collected from Weibo, and experimental results show that the proposed approach achieves superior performance as compared to state-of-the-art baselines. (C) 2021 Elsevier B.V. All rights reserved.
资助项目National Natural Science Foundation of China[61722211] ; Federal Ministry of Education and Research[01LE1806A] ; Beijing Academy of Artificial Intelligence[BAAI2019ZD0306] ; Technology Innovation and Application Development of Chongqing[cstc2020jscx-dxwtBX0014]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000696945500012
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/17216]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhu, Xiaofei
作者单位1.Chongqing Univ Technol, Coll Comp Sci & Engn, Chongqing 400054, Peoples R China
2.Baidu Inc, Beijing 100085, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.Univ Bonn, Inst Comp Sci 3, D-53115 Bonn, Germany
5.Leibniz Inst Social Sci, Knowledge Technol Social Sci, D-50667 Cologne, Germany
6.Heinrich Heine Univ, Inst Comp Sci, D-40225 Dusseldorf, Germany
推荐引用方式
GB/T 7714		 Zhu, Xiaofei,Wua, Jie,Zhu, Ling,et al. Exploring user historical semantic and sentiment preference for microblog sentiment classification[J]. NEUROCOMPUTING,2021,464:141-150.
APA Zhu, Xiaofei.,Wua, Jie.,Zhu, Ling.,Guo, Jiafeng.,Yu, Ran.,...&Dietze, Stefan.(2021).Exploring user historical semantic and sentiment preference for microblog sentiment classification.NEUROCOMPUTING,464,141-150.
MLA Zhu, Xiaofei,et al."Exploring user historical semantic and sentiment preference for microblog sentiment classification".NEUROCOMPUTING 464(2021):141-150.

入库方式： OAI收割

来源：计算技术研究所

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