Spatio-temporal difference analysis in climate change topics and sentiment orientation: Based on LDA and BiLSTM model

doi:10.1016/j.resconrec.2022.106697

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	Spatio-temporal difference analysis in climate change topics and sentiment orientation: Based on LDA and BiLSTM model
	Wu, Meifen 1; Long, Ruyin 2,3; Chen, Feiyu 1; Chen, Hong 2,4; Bai, Yun 5,6; Cheng, Kun 7; Huang, Han 1
	2023
发表期刊	RESOURCES CONSERVATION AND RECYCLING
ISSN	0921-3449
卷号	188 页码:15
摘要	Sentiment orientation, as a psychological variable, has a significant effect on climate change issue communi-cation. In this study, 169, 592 blog posts related to climate change on Weibo are crawled. Combining Bidirec-tional Long Short Term Memory (BiLSTM) text sentiment classification model and Latent Dirichlet Allocation (LDA) topic model, spatio-temporal difference analysis of the blog posts, public attention, hot topics and sentiment orientation to climate change are discussed. Empirical results show that: (1) Hot topics of climate change can be clustered into four categories. And the public pays more attention to Topic 1 (green development and energy transformation) and Topic 3 (the adverse effects of climate change on human life). (2) Most Chinese present positive sentiment toward climate change, which implies relatively high public support or satisfaction with the relevant issues. (3) The driving factors of the public's positive and negative sentiments about climate change are obtained.
关键词	Climate change Sentiment analysis Spatio-temporal difference analysis Text mining Sina Weibo
DOI	10.1016/j.resconrec.2022.106697
收录类别	SCI
语种	英语
资助项目	Major Project of National Social Science Foundation of China[19ZDA107] ; Major Project of National Social Science Foundation of China[21ZD166]
WOS研究方向	Engineering ; Environmental Sciences & Ecology
WOS类目	Engineering, Environmental ; Environmental Sciences
WOS记录号	WOS:000867687900004
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/60821
专题	中国科学院数学与系统科学研究院
通讯作者	Long, Ruyin
作者单位	1.China Univ Min & Technol, Sch Econ & Management, Xuzhou 221116, Jiangsu, Peoples R China 2.Jiangnan Univ, Sch Business, Wuxi 214122, Jiangsu, Peoples R China 3.Jiangnan Univ, Inst Jiangnan Culture, Wuxi 214122, Jiangsu, Peoples R China 4.Jiangnan Univ, Inst Natl Secur & Green Dev, Wuxi 214122, Jiangsu, Peoples R China 5.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 6.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China 7.Fuyang Normal Univ, Sch Econ, Fuyang 236000, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Wu, Meifen,Long, Ruyin,Chen, Feiyu,et al. Spatio-temporal difference analysis in climate change topics and sentiment orientation: Based on LDA and BiLSTM model[J]. RESOURCES CONSERVATION AND RECYCLING,2023,188:15.
APA	Wu, Meifen.,Long, Ruyin.,Chen, Feiyu.,Chen, Hong.,Bai, Yun.,...&Huang, Han.(2023).Spatio-temporal difference analysis in climate change topics and sentiment orientation: Based on LDA and BiLSTM model.RESOURCES CONSERVATION AND RECYCLING,188,15.
MLA	Wu, Meifen,et al."Spatio-temporal difference analysis in climate change topics and sentiment orientation: Based on LDA and BiLSTM model".RESOURCES CONSERVATION AND RECYCLING 188(2023):15.