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Natural Language Processing exercise leveraging Federal Reserve Bank's FOMC minutes and Beige Book.

Contents

The workbook consists of or aim to achieve the followings,

• Data pull of the Federal Reserve Districts' 'Beige Book', From 1970 May to Current.
  • Broken out by categories/industries interviewed
  • Collect all district's reports and summaries
  • Google CoLab for scheduled run for ETL process
• Data clean and primary feature extraction - Exploratory Data Analysis
  • Topic modeling/analysis
  • Content extraction
• Basic predictor analysis of consumer and business sentiment analysis (TBD)
• Basic predictor analysis of macroeconomic conditions (TBD)
• Expansion
  • Federal Open Market Committee (FOMC) minute data collection

Regarding the 'Beige Book'

Summary of Commentary on Current Economic Conditions by Federal Reserve District

Commonly known as the Beige Book, this report is published eight times per year. Each Federal Reserve Bank gathers anecdotal information on current economic conditions in its District through reports from Bank and Branch directors and interviews with key business contacts, economists, market experts, and other sources. The Beige Book summarizes this information by District and sector. An overall summary of the twelve district reports is prepared by a designated Federal Reserve Bank on a rotating basis.