Abstract:
"Over the last seven decades, the world economy has undergone four worldwide recessions:
1975, 1982, 1991, and 2009. Annual real per capita global GDP decreased throughout each of these periods, and this contraction was followed by a deterioration of other important indices of global economic activity. In the past decades, financial institutions, businesses, and governments have all demonstrated a keen interest in forecasting the economy and predicting recessions with GDP in order to make timely choices.
While most of the economic forecasting and predicting modal consider economic, and financial indicators or Financial News article, the Author of the research consider U.S. economic and finance indicators with the general news articles describing Financial, Political stability and social factors.
Using VADER for sentimental analysis and LSTM, Author come up with the approach to
show 93% accuracy for GDP prediction and 73% accuracy for recession probability
prediction."
