  This project explores the application of Natural Language Processing (NLP)
techniques to analyse United Nations General Assembly (UNGA) speeches. Using
NLP allows for the efficient processing and analysis of large volumes of
textual data, enabling the extraction of semantic patterns, sentiment analysis,
and topic modelling. Our goal is to deliver a comprehensive dataset and a tool
(interface with descriptive statistics and automatically extracted topics) from
which political scientists can derive insights into international relations and
have the opportunity to have a nuanced understanding of global diplomatic
discourse.
