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Explore two compelling use cases of Natural Language Processing (NLP) in investment research presented by Peng Cheng, Head of Machine Learning Strategies at JPMorgan, in this 30-minute conference talk from the Toronto Machine Learning Series. Discover how NLP techniques are employed to analyze Twitter users and forecast US presidential election winners, providing valuable insights for investors. Additionally, learn about the application of NLP to JPMorgan's proprietary research data, streamlining the thematic investment process and enhancing decision-making capabilities in the financial sector.
