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Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It

Citations

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Cited by:

  1. Justyna Klejdysz & Robin L. Lumsdaine, 2023. "Shifts in ECB Communication: A Textual Analysis of the Press Conference," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 473-542, June.
  2. Tyler Andrew Scott & Nicola Ulibarri & Omar Perez Figueroa, 2020. "NEPA and National Trends in Federal Infrastructure Siting in the United States," Review of Policy Research, Policy Studies Organization, vol. 37(5), pages 605-633, September.
  3. Latifi, Albina & Naboka-Krell, Viktoriia & Tillmann, Peter & Winker, Peter, 2024. "Fiscal policy in the Bundestag: Textual analysis and macroeconomic effects," European Economic Review, Elsevier, vol. 168(C).
  4. Tim Schatto-Eckrodt & Robin Janzik & Felix Reer & Svenja Boberg & Thorsten Quandt, 2020. "A Computational Approach to Analyzing the Twitter Debate on Gaming Disorder," Media and Communication, Cogitatio Press, vol. 8(3), pages 205-218.
  5. Seraphine F. Maerz & Carsten Q. Schneider, 2020. "Comparing public communication in democracies and autocracies: automated text analyses of speeches by heads of government," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 517-545, April.
  6. Jaeho Choi & Anoop Menon & Haris Tabakovic, 2021. "Using machine learning to revisit the diversification–performance relationship," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1632-1661, September.
  7. Purwoko Haryadi Santoso & Edi Istiyono & Haryanto & Wahyu Hidayatulloh, 2022. "Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning," Data, MDPI, vol. 7(11), pages 1-41, October.
  8. Hung, Shih-Chang & Chang, Shu-Chen, 2023. "Framing the virus: The political, economic, biomedical and social understandings of the COVID-19 in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  9. LIM Jaehwan & ITO Asei & ZHANG Hongyong, 2023. "Policy Agenda and Trajectory of the Xi Jinping Administration: Textual Evidence from 2012 to 2022," Policy Discussion Papers 23008, Research Institute of Economy, Trade and Industry (RIETI).
  10. Silva, Lucas Emmanuel Nascimento & Gomes, Leonardo Augusto de Vasconcelos & Faria, Aline Mariane de & Borini, Felipe Mendes, 2024. "Innovation processes in ecosystem settings: An integrative framework and future directions," Technovation, Elsevier, vol. 132(C).
  11. Philine Widmer & Sergio Galletta & Elliott Ash, 2022. "Media Slant is Contagious," Papers 2202.07269, arXiv.org, revised Apr 2023.
  12. Swarnalakshmi Umamaheswaran & Vandita Dar & Jagadish Thaker, 2022. "The Evolution of Climate Change Reporting in Business Media: Longitudinal Analysis of a Business Newspaper," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
  13. Kim, Da Yeon & Kim, Sang Yong, 2022. "The impact of customer-generated evaluation information on sales in online platform-based markets," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
  14. Wang, Yan & Luo, Ting, 2023. "Politicizing for the idol: China’s idol fandom nationalism in pandemic," LSE Research Online Documents on Economics 117741, London School of Economics and Political Science, LSE Library.
  15. W. Benedikt Schmal, 2024. "Academic Knowledge: Does it Reflect the Combinatorial Growth of Technology?," Papers 2409.20282, arXiv.org.
  16. Joelle Noailly; Laura Nowzohour; Matthias van den Heuvel, 2021. "Heard the News? Environmental Policy and Clean Investments," CIES Research Paper series 70-2021, Centre for International Environmental Studies, The Graduate Institute.
  17. Jason Anastasopoulos & George J. Borjas & Gavin G. Cook & Michael Lachanski, 2018. "Job Vacancies, the Beveridge Curve, and Supply Shocks: The Frequency and Content of Help-Wanted Ads in Pre- and Post-Mariel Miami," NBER Working Papers 24580, National Bureau of Economic Research, Inc.
  18. Michal Ovádek & Nicolas Lampach & Arthur Dyevre, 2020. "What’s the talk in Brussels? Leveraging daily news coverage to measure issue attention in the European Union," European Union Politics, , vol. 21(2), pages 204-232, June.
  19. Javier De la Hoz-M & Mª José Fernández-Gómez & Susana Mendes, 2021. "LDAShiny: An R Package for Exploratory Review of Scientific Literature Based on a Bayesian Probabilistic Model and Machine Learning Tools," Mathematics, MDPI, vol. 9(14), pages 1-21, July.
  20. Yeomans, Michael, 2021. "A concrete example of construct construction in natural language," Organizational Behavior and Human Decision Processes, Elsevier, vol. 162(C), pages 81-94.
  21. Miklos Sebők & Zoltán Kacsuk & Ákos Máté, 2022. "The (real) need for a human touch: testing a human–machine hybrid topic classification workflow on a New York Times corpus," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3621-3643, October.
  22. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
  23. 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.
  24. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2022. "Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1217-1248, December.
  25. Lorien Stice-Lawrence, 2022. "Practical issues to consider when working with big data," Review of Accounting Studies, Springer, vol. 27(3), pages 1117-1124, September.
  26. Paweł Matuszewski, 2023. "How to prepare data for the automatic classification of politically related beliefs expressed on Twitter? The consequences of researchers’ decisions on the number of coders, the algorithm learning pro," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 301-321, February.
  27. Karell, Daniel & Freedman, Michael Raphael, 2019. "Rhetorics of Radicalism," SocArXiv yfzsh, Center for Open Science.
  28. Josephine Lukito & Jason Greenfield & Yunkang Yang & Ross Dahlke & Megan A. Brown & Rebecca Lewis & Bin Chen, 2024. "Audio-as-Data Tools: Replicating Computational Data Processing," Media and Communication, Cogitatio Press, vol. 12.
  29. Iasmin Goes, 2023. "Examining the effect of IMF conditionality on natural resource policy," Economics and Politics, Wiley Blackwell, vol. 35(1), pages 227-285, March.
  30. Camilla Salvatore, 2023. "Inference with non-probability samples and survey data integration: a science mapping study," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 83-107, April.
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