Social media for enhanced understanding of disaster resilience during Hurricane Florence

作者：

Highlights：

• Design the research framework to employ social media data for enhanced understanding of disaster resilience.

• Propose the weight mechanism for discovered topics from disaster-related social Media data.

• Integrates sentiment analysis with LDA topic modelling to reveal different demographic groups’ response disparities.

• Investigate the data representativeness issue when using parts of collected social Media data for disaster studies.

摘要

•Design the research framework to employ social media data for enhanced understanding of disaster resilience.•Propose the weight mechanism for discovered topics from disaster-related social Media data.•Integrates sentiment analysis with LDA topic modelling to reveal different demographic groups’ response disparities.•Investigate the data representativeness issue when using parts of collected social Media data for disaster studies.

论文关键词：Disaster resilience,Social media,Sentiment analysis,Data mining,LDA topic model,Situation awareness

论文评审过程：Received 25 April 2020, Revised 21 November 2020, Accepted 21 November 2020, Available online 22 December 2020, Version of Record 22 December 2020.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2020.102289