Computational Analysis of Text
This project applies Natural Language Processing Techniques on a webscraped corpus of government documents to identify when the U.S. /Congress and President/ discussed or imposed economic sanctions. We rely on supervised machine-learning techniques to extract key-word combinations related to the economic pressure imposed by the U.S.