Detecting policy preferences and dynamics in the UN general debate with neural word embeddings

@article{Gurciullo2017DetectingPP,
  title={Detecting policy preferences and dynamics in the UN general debate with neural word embeddings},
  author={Stefano Gurciullo and Slava Mikhaylov Jankin},
  journal={2017 International Conference on the Frontiers and Advances in Data Science (FADS)},
  year={2017},
  pages={74-79}
}
  • S. Gurciullo, Slava Mikhaylov Jankin
  • Published 2017
  • Political Science, Computer Science, Mathematics
  • 2017 International Conference on the Frontiers and Advances in Data Science (FADS)
Foreign policy analysis has been struggling to find ways to measure policy preferences and paradigm shifts in international political systems. [...] Key Method First, it presents a set of policy attention indices, synthesizing the semantic proximity of political speeches to specific policy themes. Second, it introduces country-specific semantic centrality indices, based on topological analyses of countries' semantic positions with respect to each other. Third, it tests the hypothesis that there exists a…Expand
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