Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/323255 
Year of Publication: 
2022
Citation: 
[Journal:] Machine Learning with Applications [ISSN:] 2666-8270 [Volume:] 8 [Article No.:] 100286 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2022 [Pages:] 1-19
Publisher: 
Elsevier, Amsterdam
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.
Subjects: 
Text mining
R programming
Sentiment analysis
Topic modeling
Natural language processing
Central bank communication
Bank of Israel
Text analysis
Central bank texts
Text cleaning
JEL: 
B40
C82
C87
D83
E58
E59
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version
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