Social media can be a truly unique source of data to analyze the characteristics of natural disasters and assess their impact on people and infrastructure in near-real-time. Data mining social media activity (e.g. on Twitter), combined with the application of Machine Learning and Natural Language Processing (NLP) can help mine the “signal” hidden in the social media that can provide unprecedented insights to natural disasters.
On-going research work on various natural disasters such as earthquakes, landslides, tsunamis, hurricanes and floods has demonstrated unprecedented insights on assessing the impact of the event on infrastructure that can be used to pinpoint expected damage in the immediate aftermath of a natural disaster.
The R&D group is actively working on a web platform whose purpose is to visually show the analysis of earthquake events immediately after they occur.
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