HistElim
HistElim is a novel technique for the analysis of historical texts. Developed by researchers at the University of Zurich, it focuses on identifying and quantifying the presence of specific historical events or themes within large collections of documents. The core principle behind HistElim involves a sophisticated natural language processing (NLP) approach that goes beyond simple keyword matching. It utilizes semantic analysis and contextual understanding to detect subtle references and allusions to historical occurrences, even when explicit terminology is absent.
The methodology involves training machine learning models on curated datasets of historical texts where key events