Text Analysis of International Trade Agreements – UROP Spring Symposium 2021

Text Analysis of International Trade Agreements

Yixin Zhang


Pronouns: She

Research Mentor(s): Dyanne Vaught, Ph.D. Candidate
Research Mentor School/College/Department: Economics, College of Literature, Science, and the Arts
Presentation Date: Thursday, April 22, 2021
Session: Session 1 (10am-10:50am)
Breakout Room: Room 17
Presenter: 1

Event Link


Our project aims to analyze the sentiment and its impact reflected by the wording of trade agreements. We use machine learning to identify topics in the text of trade agreements and then using python to estimate the importance of these topics. Our contribution will be both identifying these topics that have the potential to affect trade flows through text analysis and estimating the sign and size of their impact.

Authors: Yixin Zhang
Research Method: Computer Programming

lsa logoum logo