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

Jonathan Benchimol, Sophia Kazinnik and Yossi Saadon

EconStor Open Access Articles and Book Chapters, 2022, vol. 8, No 100286, 19 pages

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; Text analysis; Central bank texts; Text cleaning (search for similar items in EconPapers)
JEL-codes: B40 C82 C87 D83 E58 E59 (search for similar items in EconPapers)
Date: 2022
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Working Paper: Text mining methodologies with R: An application to central bank texts (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:323255

DOI: 10.1016/j.mlwa.2022.100286

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