Assessing socio-economic climate impacts from text data

In three linesSynthesis paper on using NLP and LLMs to extract socio-economic impacts from textual data (news, social media, reports) on climate hazards (floods, droughts, storms). Proposes methodological recommendations to standardize impact dataset construction and improve disaster risk management.

Summary generated by Claude — human-verified