Article
Text Mining Methodologies with R: An Application to Central Bank Texts
Machine Learning with Applications
(2022)
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
Disciplines
Publication Date
June, 2022
DOI
10.1016/j.mlwa.2022.100286
Citation Information
Jonathan Benchimol, Sophia Kazinnik and Yossi Saadon. "Text Mining Methodologies with R: An Application to Central Bank Texts" Machine Learning with Applications Vol. 8 (2022) Available at: http://works.bepress.com/jonathanbenchimol/12/