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contributor authorFu, Lihua
contributor authorZhang, Lu
contributor authorMohaimin Sadri, Arif
date accessioned2026-08-20T21:25:22Z
date available2026-08-20T21:25:22Z
date copyright2025/10/16
date issued2026
identifier otherJCCEE5.CPENG-6751.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314426
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 ...
publisherAmerican Society of Civil Engineers
titleA Prompting Framework for GPT-Based Twitter/X User Classification in the Context of Disasters
typeJournal Article
journal volume40
journal issue1
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6751
journal fristpage04025129-1
journal lastpage04025129-18
page18
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
contenttypeFulltext


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