Sentiment-Driven Exchange Rate Forecasting: Integrating Twitter Analysis with Economic Indicators
Kazım Berk Küçüklerli,
Veysel Ulusoy
Abstract:This study focuses on predicting the USD/TL exchange rate by integrating sentiment analysis from Twitter with traditional economic indicators. With the dynamic nature of global finance, accurate exchange rate forecasting is crucial for financial planning and risk management. While economic indicators have traditionally been used for this purpose, the increasing influence of public sentiment, particularly on digital platforms like Twitter, has prompted the exploration of sentiment analysis as a complementary to… Show more
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