LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification

ArXi:2605.08448v1 Announce Type: new Semi-supervised learning approaches have been investigated as a means to enhance the analysis of social media data in disaster management contexts. In this work, we present the first empirical evaluation of large language model (LLM) guided semi-supervised learning for crisis related tweet classification. We compare two recent LLM assisted semi-supervised methods, VerifyMatch and LLM guided Co-