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

Author

Listed:
  • Jonathan Benchimol

    (BoI - Bank of Israel)

  • Sophia Kazinnik

    (Federal Reserve Bank of Richmond)

  • Yossi Saadon

    (BoI - Bank of Israel)

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.

Suggested Citation

  • Jonathan Benchimol & Sophia Kazinnik & Yossi Saadon, 2022. "Text mining methodologies with R: An application to central bank texts," Post-Print emse-03953759, HAL.
    • Handle: RePEc:hal:journl:emse-03953759
    DOI: 10.1016/j.mlwa.2022.100286
    as

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    Citations

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    Cited by:

    1. Kurowski, Łukasz & Smaga, Paweł, 2023. "Analysing financial stability reports as crisis predictors with the use of text-mining," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    2. Vyshnevskyi, Iegor & Jombo, Wytone & Sohn, Wook, 2024. "The clarity of monetary policy communication and financial market volatility in developing economies," Emerging Markets Review, Elsevier, vol. 59(C).
    3. Curti, Filippo & Kazinnik, Sophia, 2023. "Central bank communication and website characteristics," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1216-1241.

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