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

文献类型：期刊论文

作者Wu, Meifen1; Long, Ruyin2,3; Chen, Feiyu1; Chen, Hong2,4; Bai, Yun5,6; Cheng, Kun7; Huang, Han1
刊名RESOURCES CONSERVATION AND RECYCLING
出版日期2023
卷号188页码:15
关键词Climate change Sentiment analysis Spatio-temporal difference analysis Text mining Sina Weibo
ISSN号0921-3449
DOI10.1016/j.resconrec.2022.106697
英文摘要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.
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
语种英语
WOS记录号WOS:000867687900004
出版者ELSEVIER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/60820]  
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.

入库方式： OAI收割

来源：数学与系统科学研究院

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