Sentiment Analysis of Intra-Regional Trade in Africa: A Case Study of COMESA
Year: 2024
Type: conference-paper
Abstract: Understanding the sentiment nature of Trade Policy documents is a crucial step in both fostering global and regional trade. Moreso, the sentiments present in trade policy documents offer valuable insights into the direction, attitudes, and political atmosphere amongst member countries. This research aims to provide a sentiment analysis of one of Africa’s crucial trading blocs, COMESA, using Natural Language Processing. By using Machine Learning techniques, we arrived at the conclusion that the COMESA Trade Policy document has mostly positive sentiments with preferences for ’Member States’, ’Transit of Goods’ and ’Common Market’ to name a few. The research will lay the groundwork for future sentiment analysis of other global and regional trading blocs.
Authors: Lare Adeola, Olajuwon Yakub, Celestine Iwendi
Institutions: University of Greater Manchester, Jisc
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4408402028