151721 20251017144641.0 doi 10.1016/j.envsoft.2025.106382 sideral 143229 ART-2025-143229 eng López-Otal, Miguel Universidad de Zaragoza (orcid)0000-0002-4854-8062 SeqIA: A Python framework for extracting drought impacts from news archives 2025 Access copy available to the general public Unrestricted Drought is a hazard that causes great economic, ecological, and human loss. With an ever-growing risk of climate change, their frequency and magnitude are expected to increase. While there are many indices and metrics available for the analysis of droughts, assessing their impacts represents one of the best ways to understand their magnitude and extent. However, there are no systematic records outlining these impacts. To help in their ongoing creation, we present a software framework that leverages raw newspaper articles, identifies any drought-related ones, and automatically classifies them according to a set of socioeconomic impacts. The information is provided to the user in a structured format, including geographical coordinates and their date of reporting. Our approach employs state-of-the-art Transformer-based Natural Language Processing (NLP) techniques, which achieve great accuracy. We currently support newspaper articles in the Spanish language within Spain, but our framework can be expanded to other countries and languages. info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00 info:eu-repo/grantAgreement/EUR/MICINN/FEDER/TED2021-129152B-C41 info:eu-repo/grantAgreement/EUR/MICINN/FEDER/TED2021-129152B-C42 info:eu-repo/grantAgreement/ES/MICINN/PID2019-108589RA-I00 info:eu-repo/grantAgreement/ES/MINECO/RYC2019-028112-I info:eu-repo/semantics/embargoedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Domínguez-Castro, Fernando (orcid)0000-0003-3085-7040 Latorre, Borja Vela-Tambo, Javier Gracia, Jorge Universidad de Zaragoza (orcid)0000-0001-6452-7627 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 187 (2025), 106382 [19 pp.] Environ. model. softw. ENVIRONMENTAL MODELLING & SOFTWARE 1364-8152 702949 http://zaguan.unizar.es/record/151721/files/texto_completo.pdf Postprint info:eu-repo/date/embargoEnd/2027-02-24 1641481 http://zaguan.unizar.es/record/151721/files/texto_completo.jpg?subformat=icon icon Postprint info:eu-repo/date/embargoEnd/2027-02-24 oai:zaguan.unizar.es:151721 articulos driver 2025-10-17-14:32:07 ARTICLE