Analysis of Country Mentions in the Debates of the UN Security Council

Raji Ghawi, Jürgen Pfeffer

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

2 Scopus citations

Abstract

In this paper, we present a dataset of country mentions within the debates of the UN Security Council (UNSC). Using the corpus of the UNSC debates [6], we extract country mentions from the speeches and link them to the country of the speaker, creating a who-mentions-whom network at country level. This data can be used to identify geopolitical change events over time by tracking the evolution of number of country mentions over time, and detecting peak points.

Original languageEnglish
Title of host publicationInformation Integration and Web Intelligence - 24th International Conference, iiWAS 2022, Proceedings
EditorsEric Pardede, Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages110-115
Number of pages6
ISBN (Print)9783031210464
DOIs
StatePublished - 2022
Event24th International Conference on Information Integration and Web Intelligence, iiWAS 2022, held in conjunction with the 20th International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2022 - Virtual, Online
Duration: 28 Nov 202230 Nov 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13635 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Information Integration and Web Intelligence, iiWAS 2022, held in conjunction with the 20th International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2022
CityVirtual, Online
Period28/11/2230/11/22

Keywords

  • Event detection
  • NER
  • Security council

Fingerprint

Dive into the research topics of 'Analysis of Country Mentions in the Debates of the UN Security Council'. Together they form a unique fingerprint.

Cite this