Text mining methodologies with R: An application to central bank texts - Mines Saint-Étienne
Article Dans Une Revue Machine Learning with Applications Année : 2022

Text mining methodologies with R: An application to central bank texts

Jonathan Benchimol
Yossi Saadon
  • Fonction : Auteur

Résumé

We review several existing text analysis methodologies and explain their formal application processes using the open-source software R and relevant packages. Several text mining applications to analyze central bank texts are presented.

Dates et versions

emse-03953759 , version 1 (24-01-2023)

Licence

Identifiants

Citer

Jonathan Benchimol, Sophia Kazinnik, Yossi Saadon. Text mining methodologies with R: An application to central bank texts. Machine Learning with Applications, 2022, 8, pp.100286. ⟨10.1016/j.mlwa.2022.100286⟩. ⟨emse-03953759⟩
40 Consultations
0 Téléchargements

Altmetric

Partager

More