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    A Sentiment Analysis of Twitter Content as a Predictor of Exchange Rate Movements
    (Rimini Centre Economic Analysis, 2014) Ozturk, Serda Selin; Ciftci, Kursad
    Recently, social media, particularly microblogs, have become highly valuable information resources for many investors. Previous studies examined general stock market movements, whereas in this paper, USD/ TRY currency movements based on the change in the number of positive, negative and neutral tweets are analyzed. We investigate the relationship between Twitter content categorized as sentiments, such as Buy, Sell and Neutral, with USD/ TRY currency movements. The results suggest that there exists a relationship between the number of tweets and the change in USD/ TRY exchange rate.