Mining United Nations General Assembly Debates

2024/06/19 by Mateusz Grzyb, Grzyb, Mateusz, Mateusz Krzyziński +11
Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Global Peace and Security Dynamics #Information Retrieval (cs.IR) #Peacebuilding and International Security

paper · pdf · doi:10.48550/arxiv.2406.13553

openalex publication_date 2024/06/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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