Identifying Populist Paragraphs in Text: A machine-learning approach

Jogilė Ulinskaitė; Lukas Pukelis

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arXiv · 2106.03161

Identifying Populist Paragraphs in Text: A machine-learning approach

Jogilė Ulinskaitė·Lukas Pukelis

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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.

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BibTeX RIS

Jogilė Ulinskaitė, Lukas Pukelis. 2021-06-06. Identifying Populist Paragraphs in Text: A machine-learning approach. https://arxiv.org/abs/2106.03161

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