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Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence
10 references·1 citing·52 second hop
Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence (2020)Dynamic Spatio-Temporal Tweet Mining for …Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma (2019)Identifying disaster-related …Spatial-Temporal Event Detection from Geo-Tagged Tweets (2018)Spatial-Temporal Event Detect…Lung Cancer Messages on Twitter: Content Analysis and Evaluation (2017)Lung Cancer Messages on Twitt…Spatial, temporal, and content analysis of Twitter for wildfire hazards (2016)Spatial, temporal, and conten…Twitter as an indicator for whereabouts of people? 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Findings from the BBC’s Great British Class Survey Experiment (2013)Leveraging Twitter to gauge evacuation compliance: Spatiotemporal analysis of Hurricane Matthew (2017)Computational socioeconomics (2019)Social media and disasters: human security, environmental racism, and crisis communication in Hurricane Irma response (2020)TEDAS: A Twitter-based Event Detection and Analysis System (2012)Can We Predict a Riot? 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A Workflow for the multifaceted characterization of crisis events based on Twitter data (2020)CrisisBERT (2021)KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China (2021)Twitter for crisis communication: lessons learned from Japan's tsunami disaster (2011)Rapid assessment of disaster damage using social media activity (2016)A big data-driven dynamic estimation model of relief supplies demand in urban flood disaster (2020)Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review (2021)VictimFinder: Harvesting rescue requests in disaster response from social media with BERT (2022)
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References

  • 2011Tweets from Justin Bieber's heart466 cited
  • 2015Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery268 cited
  • 2016Spatial, temporal, and content analysis of Twitter for wildfire hazards225 cited
  • 2013Geo-spatial Event Detection in the Twitter Stream186 cited
  • 2015Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data159 cited
  • 2015Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks137 cited
  • 2019Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma109 cited
  • 2017Lung Cancer Messages on Twitter: Content Analysis and Evaluation66 cited
  • 2018Spatial-Temporal Event Detection from Geo-Tagged Tweets50 cited
  • 2013Disaster planning using automated composition of semantic OGC web services: A case study in sheltering23 cited

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  • 2023iMSEP3 cited

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