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Topics of the nationwide phone-ins with Vladimir Putin and their role for public support and Russian economy
13 references·2 citing·48 second hop
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References

  • 2014Structural Topic Models for Open‐Ended Survey Responses1,967 cited
  • 2019stm : An R Package for Structural Topic Models1,713 cited
  • 2020Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education406 cited
  • 2014stm: R Package for Structural Topic Models369 cited
  • 1983Political Drama, Economic Conditions, and the Dynamics of Presidential Popularity280 cited
  • 2018Content analysis of e-petitions with topic modeling: How to train and evaluate LDA models?225 cited
  • 2019Topic models meet discourse analysis: a quantitative tool for a qualitative approach187 cited
  • 2020Mapping the scattered field of research on higher education. A correlated topic model of 17,000 articles, 1991–2018170 cited
  • 2014Topic based classification and pattern identification in patents119 cited
  • 2017Topic-based technological forecasting based on patent data: A case study of Australian patents from 2000 to 2014104 cited
  • 2008The Agenda-Setting Impact of Major Presidential TV Addresses99 cited
  • 2022Topic-based classification and identification of global trends for startup companies55 cited
  • 2019A joint text mining-rank size investigation of the rhetoric structures of the US Presidents’ speeches33 cited

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2024
Risk disclosure and entrepreneurial resource acquisition in crowdfunding digital platforms: Evidence from digital technology ventures
26 cited
  • 2023Evolution and recombination of topics in Technological Forecasting and Social Change23 cited