Answers are grounded in this paper and cite their sources.
The article compares the performance of two term specificity measures, Cohen’s d and Z-score, when analyzing political and media discourses on Russia’s war in Ukraine in four languages and five countries. In addition to linguistic and stylistic heterogeneity, 3,347 texts included in the corpus have variable length. The two measures display convergent validity, as confirmed by various performance metrics. It is argued that the measures can be adapted to a broader range of tasks in information retrieval and digital humanities, in addition to their usefulness for text mining and content analysis.
No takes yet. Share an insight, caveat, or question.
Антон Олейник (2023) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: