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dc.contributor.authorFu, Lihua
dc.contributor.authorZhang, Lu
dc.contributor.authorMohaimin Sadri, Arif
dc.date.accessioned2026-08-20T21:25:22Z
dc.date.available2026-08-20T21:25:22Z
dc.date.copyright2025/10/16
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6751.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314426
dc.description.abstractAbstractDuring disasters, social media users from diverse social groups share information, concerns, and perspectives on X (formerly Twitter), amassing critical disaster resilience knowledge. Effective user classification is essential for facilitating ...Practical ApplicationsThis study proposes a prompting framework, the TSSGC, to classify Twitter/X users into disaster-related social groups using only usernames and descriptions. This minimal-data approach alleviates the need for extensive user ...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Prompting Framework for GPT-Based Twitter/X User Classification in the Context of Disasters
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue1
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6751
dc.journal.fristpage04025129-1
dc.journal.lastpage04025129-18
dc.page18
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
dc.contenttypeFulltext


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