| contributor author | Fu, Lihua | |
| contributor author | Zhang, Lu | |
| contributor author | Mohaimin Sadri, Arif | |
| date accessioned | 2026-08-20T21:25:22Z | |
| date available | 2026-08-20T21:25:22Z | |
| date copyright | 2025/10/16 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-6751.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314426 | |
| description abstract | AbstractDuring 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | A Prompting Framework for GPT-Based Twitter/X User Classification in the Context of Disasters | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 1 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6751 | |
| journal fristpage | 04025129-1 | |
| journal lastpage | 04025129-18 | |
| page | 18 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001 | |
| contenttype | Fulltext | |