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Gramatová, Nikola
Investors strive to predict stock market returns, but it is a challenging task. Re-searchers have proposed various strategies as potential ways to forecast stock returns. Recently, data analytics and natural language processing have emerged as promising methods. This project aims to explore the use of natural language processing to predict changes in stock prices. The focus is on analyzing firms' 10-K and 10-Q reports to identify sentiment.

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