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This project examines target-level financial sentiment analysis of news headlines for stock companies like Amazon, Netflix, Nvidia, and Alphabet. It compares traditional sentiment analysis methods with advanced large language models, using a curated Bloomberg Terminal dataset to understand how financial news sentiment affects market perceptions.
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10
commits