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Graph Language Model (GLM): A new graph-based approach to detect social instabilities
March 27, 2024, 4:48 a.m. | Wallyson Lemes de Oliveira, Vahid Shamsaddini, Ali Ghofrani, Rahul Singh Inda, Jithendra Sai Veeramaneni, \'Etienne Voutaz
cs.CL updates on arXiv.org arxiv.org
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
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