Text mining methodologies with R: An application to central bank texts - Mines Saint-Étienne Access content directly
Journal Articles Machine Learning with Applications Year : 2022

Text-Mining-Methoden mit R: Eine Anwendung auf Zentralbanktexte

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

Méthodologies d'analyse de texte avec R : une application aux textes des banques centrales

מתודולוגיות כריית טקסט עם R: יישום לטקסטים של בנק מרכזי

Metodologie di text mining con R: un'applicazione ai testi delle banche centrali

使用 R 的文本挖掘方法：中央銀行文本的應用

Jonathan Benchimol
Bank of Israel
Sophia Kazinnik
  • Function : Author
Federal Reserve Bank of Richmond
Yossi Saadon
  • Function : Author
Bank of Israel

Domains

Quantitative Finance [q-fin] Computation and Language [cs.CL] Library and information sciences

Jonathan Benchimol  : Connect in order to contact the contributor

https://hal-emse.ccsd.cnrs.fr/emse-03953759

Submitted on : Tuesday, January 24, 2023-11:04:06 AM

Last modification on : Friday, April 14, 2023-11:12:37 AM

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Dates and versions

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

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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⟩

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