Analyze comments on Twitter about extreme weather based on the Latent Dirichlet Allocation (LDA) approach

Zilan Cao; Senyao Hu; Zheng Tao

doi:10.1117/12.2655859

12 January 2023 Analyze comments on Twitter about extreme weather based on the Latent Dirichlet Allocation (LDA) approach

Zilan Cao, Senyao Hu, Zheng Tao

Author Affiliations +

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 1250909 (2023) https://doi.org/10.1117/12.2655859
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

According to the IPCC's Sixth Assessment Report (AR6) Working Group I report, Climate Change 2021, many changes in the climate system are directly linked to increased global warming, including extreme heat events, ocean heat waves, and increased frequency and intensity of heavy precipitation. The report, Climate Change 2021: The Natural Science Basis, released by the United Nations Intergovernmental Panel on Climate Change (IPCC) on Aug. 9. Climate change will intensify in all regions of the globe in the coming decades, with more frequent extreme heat and heavy rainfall events. The dual intensification of the intensity and frequency of extreme weather will have a dramatic impact on society as a whole and on humanity. Protecting the environment and slowing down global warming, thereby reducing the frequency and intensity of extreme weather events, will require concerted efforts by all in society. The main objective of this study is to understand the Internet-wide perception of extreme weather. This paper focuses on using a natural language processing (NLP) method, the Latent Dirichlet Allocation model, which can summarize and extract key information well. Our results found that comments on Twitter can be divided into 15 main topics.

Citation Download Citation

Zilan Cao, Senyao Hu, and Zheng Tao "Analyze comments on Twitter about extreme weather based on the Latent Dirichlet Allocation (LDA) approach", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 1250909 (12 January 2023); https://doi.org/10.1117/12.2655859

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