Text-As-Data and Natural Language Processing: Applications in International Trade and Finance
Panel Session
Friday, Jan. 7, 2022 3:45 PM - 5:45 PM (EST)
- Moderator: Thierry Warin, HEC Montreal
Panelist(s)
Wolfgang Alschner
,
University of Ottawa
Topic: Text of Trade Agreements (ToTA)
Hector Carcel Villanova
,
International Monetary Fund
Topic: Text Data Analysis Using Latent Dirichlet Allocation: An Application to FOMC Transcripts
Hali Edison
,
Williams College
Topic: Text Data Analysis Using Latent Dirichlet Allocation: An Application to FOMC Transcripts
Aleksandar Stojkov
,
Ss. Cyril and Methodius University
Topic: European Central Bank’ Speeches: An NLP Perspective
Irena Vodenska
,
Boston University
Topic: Investigating Natural Language Processing Approaches—including Deep Learning and Neural Network Methods—to Classification Algorithms for Financial and Economic News Topic Recognition
Thierry Warin
,
HEC Montreal
Topic: Text-as-Data and NLP for Global Innovation Dynamics
JEL Classifications
- C8 - Data Collection and Data Estimation Methodology; Computer Programs
- F0 - General