Graph Language Model (GLM): A new graph-based approach to detect social instabilities

arXiv:2403.17816v1 Announce Type: new
Abstract: This scientific report presents a novel methodology for the early prediction of important political events using News datasets. The methodology leverages natural language processing, graph theory, clique analysis, and semantic relationships to uncover hidden predictive signals within the data. Initially, we designed a preliminary version of the method and tested it on a few events. This analysis revealed limitations in the initial research phase. We then enhanced the model in two key ways: first, we …

abstract analysis arxiv cs.cl data datasets events graph graph-based hidden language language model language processing methodology natural natural language natural language processing novel political prediction predictive processing relationships report scientific semantic social theory type