Exploring user historical semantic and sentiment preference for microblog sentiment classification

doi:10.1016/j.neucom.2021.08.089

	Exploring user historical semantic and sentiment preference for microblog sentiment classification
	Zhu, Xiaofei 1; Wua, Jie 1,2; Zhu, Ling 1; Guo, Jiafeng 3; Yu, Ran 4; Boland, Katarina 5,6; Dietze, Stefan 5,6
刊名	NEUROCOMPUTING
	2021-11-13
卷号	464 页码:141-150
关键词	Microblog analysis Sentiment classification User historical preference
ISSN号	0925-2312
DOI	10.1016/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
出版者	ELSEVIER
WOS记录号	WOS:000696945500012
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/17216]
专题	中国科学院计算技术研究所
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.