Mining United Nations General Assembly Debates

Mateusz Grzyb, Mateusz Krzyzinski, Bartłomiej Sobieski, Mikołaj Spytek, Bartosz Pielinski, Daniel Dan, Anna Wróblewska

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This project explores the application of Natural Language Processing (NLP) techniques to analyze 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 modeling. 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 gain a nuanced understanding of global diplomatic discourse.
Original languageEnglish
Title of host publicationProgress in Polish Artificial Intelligence Research 5
Subtitle of host publicationProceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI'2024)
Place of PublicationWarsaw, Poland
Pages188-193
Number of pages6
ISBN (Electronic)9788381566971
DOIs
Publication statusPublished - Apr 2024
Event Polish Conference on Artificial Intelligence
- Warsaw University of Technology, Warsaw, Poland
Duration: 18 Apr 202420 Apr 2024
Conference number: 5th
https://pp-rai.pl/

Conference

Conference Polish Conference on Artificial Intelligence
Abbreviated title PP-RAI 2024
Country/TerritoryPoland
CityWarsaw
Period18/04/202420/04/2024
Internet address

Keywords

  • natural language processing
  • information extraction
  • political language

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