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At the Lancaster University Investment and Finance Society, we are in the early stages of developing a sentiment analysis model to enhance equity research and trading strategies. This project brings together a diverse team, including members from computer science, economics, and finance, to integrate cutting-edge natural language processing techniques with traditional financial analysis. Our aim is to capture market sentiment from news and social media with a variety of APIs to support data-driven investment decisions. While still in its initial phases, the collaboration has shown promise, and we are optimistic about its potential impact on generating actionable insights for the equity researchers in the fund.