FOMC Minutes Sentiment Analysis
This code performs sentiment analysis on the Federal Open Market Committee (FOMC) minutes. The FOMC is a committee within the U.S. Federal Reserve System responsible for making decisions about monetary policy. The sentiment analysis aims to determine whether the minutes express a hawkish (favoring higher interest rates) or dovish (favoring lower interest rates) sentiment, or if it is neutral.
Dependencies
nltk: Natural Language Toolkit library for text processing and sentiment analysis. wordcloud: Library for generating word clouds. matplotlib: Library for visualizations. requests: Library for making HTTP requests. BeautifulSoup: Library for parsing HTML content. Make sure these dependencies are installed before running the code.