Text Analytics for Business Forecasting and Financial Decision Making (Part 2)

In this enlightening presentation, John Aaron and Paul Medioli of Milestone Planning & Research, Inc. showcase how text mining can enhance the predictive and explanatory capabilities of business process models with time-series data. They meticulously explore the merits and drawbacks of alternative sentiment dictionaries, alongside recent advancements in Wordstat dictionary construction, proven effective for extracting and measuring daily sentiments, including those related to fear, disorientation, and economic shocks. The presenters adeptly demonstrate the versatility of these methodologies, illustrating how they can be customized to elucidate and forecast economic performance across various business settings.