The FOMCAnalysis model is engineered to analyze and interpret the language utilized by Federal Reserve officials and in key FOMC releases, such as the Beige Book and the minutes.
-
Updated
May 16, 2023 - Python
#
fomc-meeting
Here are 3 public repositories matching this topic...
Code base for my bachelor thesis "Predictive Fedspeak: Forecasting US equities with FOMC Minutes tone"
-
Updated
Jul 5, 2021 - Python
This project uses data science to analyze Federal Reserve policy statements and seeks insight on their sentiment
natural-language-processing
r
sentiment-analysis
rstudio
corpus
wordcloud
corpus-linguistics
webscraping
rvest
fed
textanalysis
federal
wordanalysis
rlanguage
fomc-meeting
-
Updated
Sep 26, 2023
Improve this page
Add a description, image, and links to the fomc-meeting topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the fomc-meeting topic, visit your repo's landing page and select "manage topics."