NLP-Driven Indices for Bank Stability Assessment

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Explore innovative approaches to assessing bank stability through the integration of NLP and machine learning. Using insights from the 2008 financial crisis, this presentation highlights limitations of traditional methods, the rise of sentiment-driven analysis, and a proposed research methodology leveraging APIs, sentiment techniques, and predictive models. Practical examples include risk detection indexes and comparative analyses with past cases. The session concludes by addressing...