Mining United Nations General Assembly Debates

TL;DR

This paper applies NLP techniques to analyze UNGA speeches, creating a dataset and tool that facilitate understanding of international relations through semantic, sentiment, and topic analysis.

Contribution

It introduces a comprehensive NLP-based framework and tool for analyzing UNGA speeches, enabling political scientists to gain insights into diplomatic discourse.

Findings

Development of a dataset of UNGA speeches

Implementation of an NLP tool with topic modeling and sentiment analysis

Facilitation of nuanced insights into global diplomatic discourse

Abstract

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.