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Article
Text Mining Methodologies with R: An Application to Central Bank Texts
Machine Learning with Applications (2022)
  • Jonathan Benchimol
  • Sophia Kazinnik
  • Yossi Saadon
Abstract
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.
Keywords
  • Text mining,
  • R programming,
  • Sentiment analysis,
  • Topic modeling,
  • Natural language processing,
  • Central bank communication,
  • Bank of Israel
Publication Date
June, 2022
DOI
10.1016/j.mlwa.2022.100286
Citation Information
Jonathan Benchimol, Sophia Kazinnik and Yossi Saadon. "Text Mining Methodologies with R: An Application to Central Bank Texts" Machine Learning with Applications Vol. 8 (2022)
Available at: http://works.bepress.com/jonathanbenchimol/12/