Beatriz Paulino has investigated how natural language processing techniques can be used to analyze public perception of risk related to housing and environmental vulnerabilities, contributing to raising awareness for RETIME’s main goals.
She analyzed data from RETIME’s three pilot sites, Lisbon, Žilina, and Tartu, gathered through web scraping of institutional and media sources, capturing how housing and environmental risks are discussed in public discourse. By applying natural language processing techniques to this dataset, she mapped recurring patterns in citizens’ concerns and perceptions.
The analysis revealed five main themes shaping the conversation on vulnerabilities: environmental and neighborhood conditions; community and social institutions; infrastructure and urban development; public health and safety; and housing safety and quality.
Since then, Paulino has recently been awarded a PhD scholarship from the University Gustave Eiffel within the Pioneer Alliance of European Universities.
Photo credit: Stefania Stellaci, ISCTE (above); Rawpixel via FreePik (featured)
