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The structural topic model and applied social science

Citations

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Cited by:

  1. Beatrice Ferrario & Stefanie Stantcheva, 2022. "Eliciting People's First-Order Concerns: Text Analysis of Open-Ended Survey Questions," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 163-169, May.
  2. Paul Matthews & Kathrina Glitre, 2021. "Genre analysis of movies using a topic model of plot summaries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(12), pages 1511-1527, December.
  3. Villa-Cox, Gonzalo & Bucaram-Villacís, Santiago J. & Goethals, Peter & Speelman, Stijn, 2023. "Mapping linkages between ecosystem services and agricultural and landscape management using structural topic modeling of scientific literature," Ecosystem Services, Elsevier, vol. 61(C).
  4. van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
  5. Sergio Davalos & Ehsan H. Feroz, 2022. "A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 19-40, January.
  6. Keith Carlson & Michael A. Livermore & Daniel N. Rockmore, 2020. "The Problem of Data Bias in the Pool of Published U.S. Appellate Court Opinions," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 224-261, June.
  7. Kanyao Han & Rezvaneh Rezapour & Katia Nakamura & Dikshya Devkota & Daniel C. Miller & Jana Diesner, 2023. "An expert‐in‐the‐loop method for domain‐specific document categorization based on small training data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 669-684, June.
  8. Praveen, S.V. & Gajjar, Pranshav & Ray, Rajeev Kumar & Dutt, Ashutosh, 2024. "Crafting clarity: Leveraging large language models to decode consumer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  9. Berk Wheelock, Lauren & Pachamanova, Dessislava A., 2022. "Acceptable set topic modeling," European Journal of Operational Research, Elsevier, vol. 299(2), pages 653-673.
  10. Rose, Rodrigo L. & Puranik, Tejas G. & Mavris, Dimitri N. & Rao, Arjun H., 2022. "Application of structural topic modeling to aviation safety data," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
  11. Celso Brunetti & Marc Joëts & Valérie Mignon, 2023. "Reasons Behind Words: OPEC Narratives and the Oil Market," Working Papers hal-04196053, HAL.
  12. 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.
  13. Candelon, Bertrand & Joëts, Marc & Mignon, Valérie, 2024. "What makes econometric ideas popular: The role of connectivity," Research Policy, Elsevier, vol. 53(7).
  14. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
  15. Diaf, Sami, 2022. "Policy preference at central banks: Quantifying monetary policy signals using keyword topic models," WiSo-HH Working Paper Series 69, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
  16. Minkyu Kim & Chankook Park, 2021. "Academic Topics Related to Household Energy Consumption Using the Future Sign Detection Technique," Energies, MDPI, vol. 14(24), pages 1-24, December.
  17. Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
  18. John Brandt & Kathleen Buckingham & Cody Buntain & Will Anderson & Sabin Ray & John-Rob Pool & Natasha Ferrari, 2020. "Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum," Journal of Computational Social Science, Springer, vol. 3(1), pages 167-188, April.
  19. Laura K. Nelson & Derek Burk & Marcel Knudsen & Leslie McCall, 2021. "The Future of Coding: A Comparison of Hand-Coding and Three Types of Computer-Assisted Text Analysis Methods," Sociological Methods & Research, , vol. 50(1), pages 202-237, February.
  20. Ben Cormier & Mark S. Manger, 2022. "Power, ideas, and World Bank conditionality," The Review of International Organizations, Springer, vol. 17(3), pages 397-425, July.
  21. 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.
  22. Wang, Jason & Weiss, Robert E., 2022. "Local and global topics in text modeling of web pages nested in web sites," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
  23. David Ardia & Keven Bluteau & Mohammad‐Abbas Meghani, 2024. "Thirty years of academic finance," Journal of Economic Surveys, Wiley Blackwell, vol. 38(3), pages 1008-1042, July.
  24. Cruciani, Caterina & Santagiustina, Carlo R.M.A., 2023. "The present and future of sustainability disclosure in equity investment funds’ pre-contractual documents: Mapping ESG discourse through STM," Finance Research Letters, Elsevier, vol. 58(PA).
  25. 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.
  26. García, Diego & Hu, Xiaowen & Rohrer, Maximilian, 2023. "The colour of finance words," Journal of Financial Economics, Elsevier, vol. 147(3), pages 525-549.
  27. Kang, Inje & Yang, Jiseong & Lee, Wonjae & Seo, Eun-Yeong & Lee, Duk Hee, 2023. "Delineating development trends of nanotechnology in the semiconductor industry: Focusing on the relationship between science and technology by employing structural topic model," Technology in Society, Elsevier, vol. 74(C).
  28. Völker, Teresa & Saldivia Gonzatti, Daniel, 2024. "Discourse Networks of the Far Right: How Far-Right Actors Become Mainstream in Public Debates," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 41(3), pages 353-372.
  29. Rachael M. Moyer, 2022. "Images of controversy: Examining cognition of hydraulic fracturing among policy elites and the general public," Review of Policy Research, Policy Studies Organization, vol. 39(4), pages 441-467, July.
  30. Wen Shi & Diyi Liu & Jing Yang & Jing Zhang & Sanmei Wen & Jing Su, 2020. "Social Bots’ Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
  31. R. Maria del Rio-Chanona & Alejandro Hermida-Carrillo & Melody Sepahpour-Fard & Luning Sun & Renata Topinkova & Ljubica Nedelkoska, 2022. "Mental health concerns prelude the Great Resignation: Evidence from Social Media," Papers 2208.07926, arXiv.org.
  32. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
  33. Desiraju, Kanti & Mishra, Arindra Nath & Sengupta, Pooja, 2024. "Customer perceptions on open banking apps: Insights using Structural topic modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
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