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

Jonathan Benchimol, Sophia Kazinnik and Yossi Saadon
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Sophia Kazinnik: Federal Reserve Bank of Richmond

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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 (search for similar items in EconPapers)
Date: 2022-06
Note: View the original document on HAL open archive server: https://hal-emse.ccsd.cnrs.fr/emse-03953759v1
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Citations: View citations in EconPapers (9)

Published in Machine Learning with Applications, 2022, 8, pp.100286. ⟨10.1016/j.mlwa.2022.100286⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:emse-03953759

DOI: 10.1016/j.mlwa.2022.100286

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