Identifying Populist Paragraphs in Text: A machine-learning approach
arXiv:2106.03161
Abstract
Abstract: In this paper we present an approach to develop a text-classification model which would be able to identify populist content in text. The developed BERT-based model is largely successful in identifying populist content in text and produces only a negligible amount of False Negatives, which makes it well-suited as a content analysis automation tool, which shortlists potentially relevant content for human validation.
18 pages, 2 Figures, 3 Tables in main text, 2 tables in Annexes