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- ISIDORE Id: 10670/1.27fc77...
- emse-03953759
- doi: 10.1016/j.mlwa.2022.100286
Ce document est lié à :
https://doi.org/10.24433/CO.1132001.v1
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mlwa.2022.100286
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Mots-clés
Text mining R programming Sentiment analysis Topic modeling Natural language processing Central bank communication B - History of Economic Thought, Methodology, and Heterodox Approaches/B.B4 - Economic Methodology/B.B4.B40 - General C - Mathematical and Quantitative Methods/C.C8 - Data Collection and Data Estimation Methodology • Computer Programs/C.C8.C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data • Data Access C - Mathematical and Quantitative Methods/C.C8 - Data Collection and Data Estimation Methodology • Computer Programs/C.C8.C87 - Econometric Software D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D83 - Search • Learning • Information and Knowledge • Communication • Belief • Unawareness E - Macroeconomics and Monetary Economics/E.E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit/E.E5.E58 - Central Banks and Their Policies -fin]Sujets proches
Philosophy--MethodologyCiter ce document
Jonathan Benchimol et al., « Text mining methodologies with R: An application to central bank texts », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1016/j.mlwa.2022.100286
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Résumé
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.
