5,497,319 AI resources indexedWorking toward the world’s largest AI resource index.

PDF

ASSESSING POST-DISASTER RECOVERY USING SENTIMENT AND TOPIC ANALYSIS ON SOCIAL MEDIA POSTS: L'AQUILA, ITALY

Research paper by D. Contreras and collaborators, published 2025 in CINECA IRIS Institutial research information system (University of Pisa). Research area: Sentiment Analysis and Opinion Mining.

Resource information

Authors
D. Contreras, G. Forino, C. Pezzica, F. Liberatore, S. Wilkinson, Enes Veliu
Research area
Sentiment Analysis and Opinion Mining
Application domain
General AI research
AI methods
Natural language processing
Research topics
Sentiment Analysis and Opinion Mining, Disaster Management and Resilience, Earthquake and Disaster Impact Studies
Publication date
2025-12-16
Publication
CINECA IRIS Institutial research information system (University of Pisa)
DOI
10.71846/18-wcee-0274
Citations
0
Last record update
Nov 5, 2026