CANCELLED: Text Analysis Tools for Finding Emotion Behind Economic Outcomes
Audience:Restricted to Princeton University
Cosponsored by the Kahneman-Treisman Center for Behavioral Science & Public Policy; the Julis-Rabinowitz Center for Public Policy and Finance; and the Center for Statistics and Machine Learning
This event has been cancelled.
In a follow-up workshop to a November 6 talk, Kabiri will discuss his findings to illustrate how sentiment and narrative analysis can be operationalized and how its effect on financial and economic phenomena can be tested. Advances in data science, particularly machine learning, and rapidly growing data collection and storage provide researchers with new possibilities. He will provide ideas for how economists and social scientists can leverage this new set of tools. This is a technical demo/workshop; examples will be in R, Python, and Stata.