Mining United Nations General Assembly Debates
This provides political scientists with a tool for nuanced analysis of global diplomatic discourse, but it is incremental as it applies existing NLP methods to new data.
The project tackled the analysis of United Nations General Assembly speeches by applying NLP techniques to process large volumes of text, resulting in a dataset and tool for extracting semantic patterns, sentiment, and topics to aid political scientists.
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.