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

Meifen Wu,Ruyin Long,Feiyu Chen,Hong Chen,Yun Bai, Kun Cheng,Han Huang

Resources, Conservation and Recycling（2023）

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摘要

•BiLSTM model is used to analyze sentiment orientation.•Spatio-temporal difference analysis of public attention and sentiment orientation to climate change in Weibo are conducted.•Four categories of climate change hot topics are summarized.•Public pay the most attention to “Green development and energy transition”.•Most Chinese present positive sentiment toward climate change.

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关键词

Climate change,Sentiment analysis,Spatio-temporal difference analysis,Text mining,Sina Weibo

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