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stm: R Package for Structural Topic Models

Citations

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Cited by:

  1. Dean Neu & Gregory D. Saxton & Abu S. Rahaman, 2022. "Social Accountability, Ethics, and the Occupy Wall Street Protests," Journal of Business Ethics, Springer, vol. 180(1), pages 17-31, September.
  2. Max Nathan & Anna Rosso, 2017. "Innovative events," Development Working Papers 429, Centro Studi Luca d'Agliano, University of Milano, revised 08 Apr 2019.
  3. Pavelkova, Andrea, 2022. "The ECB press conference: a textual analysis," Working Paper Series 2742, European Central Bank.
  4. Julieta Peveri, 2021. "The Wise, the Politician and the Strongman: National Leaders' Type and Quality of Governance," AMSE Working Papers 2120, Aix-Marseille School of Economics, France, revised May 2022.
  5. Ashkan Ebadi & Pengcheng Xi & Stéphane Tremblay & Bruce Spencer & Raman Pall & Alexander Wong, 2021. "Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 725-739, January.
  6. Isabelle Vegt & Maximilian Mozes & Paul Gill & Bennett Kleinberg, 2021. "Online influence, offline violence: language use on YouTube surrounding the ‘Unite the Right’ rally," Journal of Computational Social Science, Springer, vol. 4(1), pages 333-354, May.
  7. Sanders, James & Lisi, Giulio & Schonhardt-Bailey, Cheryl, 2018. "Themes and topics in parliamentary oversight hearings: a new direction in textual data analysis," LSE Research Online Documents on Economics 87624, London School of Economics and Political Science, LSE Library.
  8. Julieta Peveri, 2021. "The Wise, the Politician and the Strongman: National Leaders' Type and Quality of Governance," Working Papers halshs-03173020, HAL.
  9. Nuccio Ludovico & Federica Dessi & Marino Bonaiuto, 2020. "Stakeholders Mapping for Sustainable Biofuels: An Innovative Procedure Based on Computational Text Analysis and Social Network Analysis," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
  10. Dybowski, T.P. & Adämmer, P., 2018. "The economic effects of U.S. presidential tax communication: Evidence from a correlated topic model," European Journal of Political Economy, Elsevier, vol. 55(C), pages 511-525.
  11. Jo, Wonkwang & You, Myoungsoon, 2019. "News media’s framing of health policy and its implications for government communication: A text mining analysis of news coverage on a policy to expand health insurance coverage in South Korea," Health Policy, Elsevier, vol. 123(11), pages 1116-1124.
  12. Andreas Rehs, 2020. "A structural topic model approach to scientific reorientation of economics and chemistry after German reunification," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1229-1251, November.
  13. Federica Genovese & Endre Tvinnereim, 2019. "Who opposes climate regulation? Business preferences for the European emission trading scheme," The Review of International Organizations, Springer, vol. 14(3), pages 511-542, September.
  14. Florian Rabitz & Alin Olteanu & Jurgita Jurkevičienė & Agnė Budžytė, 2021. "A topic network analysis of the system turn in the environmental sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2107-2140, March.
  15. Ola G. El‐Taliawi & Nihit Goyal & Michael Howlett, 2021. "Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching," Review of Policy Research, Policy Studies Organization, vol. 38(6), pages 640-660, November.
  16. Kjersti Fløttum & Dorothy Jane Dankel & Jon Kåre Skiple, 2022. "The Sustainable Development Goals—Sensible Initiative or Just Nonsense? An Investigation of Norwegian Citizens’ Knowledge and Attitudes," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
  17. Dean Neu & Gregory D. Saxton, 2023. "Building Ethical Narratives: The Audiences for AICPA Editorials," Journal of Business Ethics, Springer, vol. 182(4), pages 1055-1072, February.
  18. Endre Tvinnereim & Xiaozi Liu & Eric M. Jamelske, 2017. "Public perceptions of air pollution and climate change: different manifestations, similar causes, and concerns," Climatic Change, Springer, vol. 140(3), pages 399-412, February.
  19. Bai, Xiwen & Zhang, Xiunian & Li, Kevin X. & Zhou, Yaoming & Yuen, Kum Fai, 2021. "Research topics and trends in the maritime transport: A structural topic model," Transport Policy, Elsevier, vol. 102(C), pages 11-24.
  20. Xieling Chen & Juan Chen & Gary Cheng & Tao Gong, 2020. "Topics and trends in artificial intelligence assisted human brain research," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-27, April.
  21. Nuccio Ludovico & Marc Esteve Del Valle & Franco Ruzzenenti, 2020. "Mapping the Dutch Energy Transition Hyperlink Network," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
  22. Fabrizio Gilardi & Charles R. Shipan & Bruno Wüest, 2021. "Policy Diffusion: The Issue‐Definition Stage," American Journal of Political Science, John Wiley & Sons, vol. 65(1), pages 21-35, January.
  23. David Ardia & Keven Bluteau & Kris Boudt & Koen Inghelbrecht, 2020. "Climate change concerns and the performance of green versus brown stocks," Working Paper Research 395, National Bank of Belgium.
  24. Jiang, Hanchen & Qiang, Maoshan & Fan, Qixiang & Zhang, Mengqing, 2018. "Scientific research driven by large-scale infrastructure projects: A case study of the Three Gorges Project in China," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 61-71.
  25. Daniel Finke, 2024. "Is Europe raising its voice? EU representation at the UN prior to and post-Lisbon," European Union Politics, , vol. 25(2), pages 422-439, June.
  26. Mourtgos, Scott M. & Adams, Ian T., 2019. "The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling," Journal of Criminal Justice, Elsevier, vol. 64(C), pages 1-1.
  27. Ebadi, Ashkan & Tremblay, Stéphane & Goutte, Cyril & Schiffauerova, Andrea, 2020. "Application of machine learning techniques to assess the trends and alignment of the funded research output," Journal of Informetrics, Elsevier, vol. 14(2).
  28. Jeet Dogra & Venkata Rohan Sharma Karri, 2020. "Assessment of Luxury Trains in India: A Case Study of Maharajas’ Express," Journal of Tourismology, Istanbul University, Faculty of Economics, vol. 6(2), pages 185-200, December.
  29. Kolomoyets, Yuliya & Dickinger, Astrid, 2023. "Understanding value perceptions and propositions: A machine learning approach," Journal of Business Research, Elsevier, vol. 154(C).
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