Social media, GIS, and emergency response after earthquakes
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The GeoTalks webinar series is suitable for a diverse audience including the public, secondary school pupils and professionals.
Abstract
Traditionally, earthquake impact assessments have been made through fieldwork or ground surveys. Social media (SM) and crowdsourcing platforms have recently become valuable tools for quickly collecting large amounts of first-hand data after a disaster. Nevertheless, extracting meaningful information from unstructured data is still an ongoing area of research. I use sentiment and topic analysis for the assessment of emergency response and post-disaster recovery assessment. Sentiment analysis (SA) is a natural language processing technique (NLP) technique applied to determine data polarity and topics addressed in the text data.
Speaker
Dr Diana Contreras Mojica