Mining United Nations General Assembly Debates

Mateusz Grzyb, Mateusz Krzyziński, Bartłomiej Sobieski, Mikołaj Spytek, Bartosz Pieliński +2 more
6/19/2024
cs.CLcs.IR

No official code found. Best implementation: grant-TraDA/NLP-2023W (9 stars, GPL-3.0, last commit 2024-02-07).

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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Code Implementations(1)

grant-TraDA/NLP-2023WCommunity100%
GPL-3.0

The repositiory for open source solutions designed and deleoped during NLP course conducted by Anna Wróblewska @ Warsaw University of Technology

930C, ROct 2, 20232 years agoGPL-3.0

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Cite this paper

@article{grzyb2024mining,
  title  = {Mining United Nations General Assembly Debates},
  author = {Mateusz Grzyb and Mateusz Krzyziński and Bartłomiej Sobieski and Mikołaj Spytek and Bartosz Pieliński and Daniel Dan and Anna Wróblewska},
  year   = {2024},
  eprint = {2406.13553},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.13553v1}
}

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