sashansuarez/text_mining_monetary_policy
Text mining, topic modeling, and sentiment analysis are applied to FOMC meeting minutes.
This project helps financial analysts and economists understand the Federal Reserve's monetary policy by analyzing the language used in FOMC meeting minutes. It takes raw text from these minutes and macroeconomic data, then applies text mining techniques to reveal underlying topics, sentiment, and their impact on financial markets. The output helps users interpret 'Fedspeak' and potentially anticipate market reactions.
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Use this if you need to systematically analyze the detailed text of Federal Open Market Committee (FOMC) meeting minutes to uncover insights into monetary policy and its market implications.
Not ideal if you're looking for real-time market prediction or require analysis of data beyond FOMC minutes and core macroeconomic variables.
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Jun 26, 2019
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