EconPapers    
Economics at your fingertips  
 

Text data analysis using Latent Dirichlet Allocation: an application to FOMC transcripts

Hector Carcel

A chapter in Machine learning in central banking, 2022, vol. 57 from Bank for International Settlements

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.bis.org/ifc/publ/ifcb57_21.pdf (application/pdf)

Related works:
Journal Article: Text data analysis using Latent Dirichlet Allocation: an application to FOMC transcripts (2021) Downloads
Working Paper: Text Data Analysis Using Latent Dirichlet Allocation: An Application to FOMC Transcripts (2019) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bis:bisifc:57-21

Access Statistics for this chapter

More chapters in IFC Bulletins chapters from Bank for International Settlements Contact information at EDIRC.
Bibliographic data for series maintained by Martin Fessler ().

 
Page updated 2025-04-04
Handle: RePEc:bis:bisifc:57-21