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Cited by:

  1. Vegard Høghaug Larsen, 2021. "Components Of Uncertainty," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 769-788, May.
  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. Athey, Susan & Imbens, Guido W., 2019. "Machine Learning Methods Economists Should Know About," Research Papers 3776, Stanford University, Graduate School of Business.
  4. Jonathan Hersh & Matthew Harding, 2018. "Big Data in economics," IZA World of Labor, Institute of Labor Economics (IZA), pages 451-451, September.
  5. Amadxarif, Zahid & Brookes, James & Garbarino, Nicola & Patel, Rajan & Walczak, Eryk, 2019. "The language of rules: textual complexity in banking reforms," Bank of England working papers 834, Bank of England.
  6. Luiz Renato Lima & Lucas Lúcio Godeiro & Mohammed Mohsin, 2021. "Time-Varying Dictionary and the Predictive Power of FED Minutes," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 149-181, January.
  7. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
  8. Onder, Ali Sina & Popov, Sergey V & Schweitzer, Sascha, 2018. "Leadership in Scholarship: Editors' Influence on the Profession's Narrative," Cardiff Economics Working Papers E2018/2, Cardiff University, Cardiff Business School, Economics Section.
  9. Yang Liu & Liyan Han & Libo Yin, 2018. "Does news uncertainty matter for commodity futures markets? Heterogeneity in energy and non‐energy sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1246-1261, October.
  10. Fraiberger, Samuel P. & Lee, Do & Puy, Damien & Ranciere, Romain, 2021. "Media sentiment and international asset prices," Journal of International Economics, Elsevier, vol. 133(C).
  11. Harrison, Joseph S. & Josefy, Matthew A. & Kalm, Matias & Krause, Ryan, 2022. "Using supervised machine learning to scale human‐coded data: A method and dataset in the board leadership context," Other publications TiSEM abc9f83d-960e-40c5-ae40-3, Tilburg University, School of Economics and Management.
  12. Gunnar Friede, 2019. "Why don't we see more action? A metasynthesis of the investor impediments to integrate environmental, social, and governance factors," Business Strategy and the Environment, Wiley Blackwell, vol. 28(6), pages 1260-1282, September.
  13. Draca, Mirko & Schwarz, Carlo, 2019. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," CAGE Online Working Paper Series 432, Competitive Advantage in the Global Economy (CAGE).
  14. Julia Seiermann, 2018. "Only Words? How Power in Trade Agreement Texts Affects International Trade Flows," UNCTAD Blue Series Papers 80, United Nations Conference on Trade and Development.
  15. Xusen Cheng & Danya Huang & Jin Chen & Xiangsong Meng & Chengyao Li, 2019. "An Investigation on Factors Affecting Stock Valuation Using Text Mining for Automated Trading," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
  16. Ash, Elliott & Chen, Daniel L. & Lu, Wei, 2018. "Motivated Reasoning in the Field: Partisanship in Precedent, Prose, Vote, and Retirement in U.S. Circuit Courts, 1800-2013," IAST Working Papers 18-89, Institute for Advanced Study in Toulouse (IAST).
  17. José María Liberti & Mitchell A. Petersen, 2018. "Information: Hard and Soft," NBER Working Papers 25075, National Bureau of Economic Research, Inc.
  18. Young Joon Lee & Soohyon Kim & Ki Young Park, 2019. "Deciphering Monetary Policy Board Minutes with Text Mining: The Case of South Korea," Korean Economic Review, Korean Economic Association, vol. 35, pages 471-511.
  19. Saskia Ter Ellen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "Narrative Monetary Policy Surprises and the Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1525-1549, August.
  20. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2019. "A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections," Information Systems Research, INFORMS, vol. 30(4), pages 1363-1386, December.
  21. Ancil Crayton, 2018. "Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization," Papers 1809.08718, arXiv.org.
  22. Ramos Maqueda,Manuel & Chen,Daniel Li, 2021. "The Role of Justice in Development : The Data Revolution," Policy Research Working Paper Series 9720, The World Bank.
  23. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
  24. Rieber, Alexander, 2021. "Regulating a highly concentrated industry: Implications fromDodd-Frank," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242434, Verein für Socialpolitik / German Economic Association.
  25. Jan Kinne & David Lenz, 2021. "Predicting innovative firms using web mining and deep learning," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-18, April.
  26. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
  27. Grajzl, Peter & Murrell, Peter, 2019. "Toward understanding 17th century English culture: A structural topic model of Francis Bacon's ideas," Journal of Comparative Economics, Elsevier, vol. 47(1), pages 111-135.
  28. Born, Andreas & Janssen, Aljoscha, 2020. "Does a District-Vote Matter for the Behavior of Politicians? A Textual Analysis of Parliamentary Speeches," Working Paper Series 1320, Research Institute of Industrial Economics.
  29. Vegard H. Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Paper 2018/3, Norges Bank.
  30. Bryan, Kevin A. & Ozcan, Yasin & Sampat, Bhaven, 2020. "In-text patent citations: A user's guide," Research Policy, Elsevier, vol. 49(4).
  31. Saida Ishak Boushaki & Nadjet Kamel & Omar Bendjeghaba, 2018. "High-Dimensional Text Datasets Clustering Algorithm Based on Cuckoo Search and Latent Semantic Indexing," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-24, September.
  32. Jan Kinne & Janna Axenbeck, 2020. "Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2011-2041, December.
  33. John Ammer & John Rogers & Gang Wang & Yang Yu, 2020. "Monetary Policy Expectations, Fund Managers, and Fund Returns: Evidence from China," International Finance Discussion Papers 1285, Board of Governors of the Federal Reserve System (U.S.).
  34. Youngjoon Lee & Soohyon Kim & Ki Young Park, 2018. "Deciphering Monetary Policy Committee Minutes with Text Mining Approach: A Case of South Korea," Working papers 2018rwp-132, Yonsei University, Yonsei Economics Research Institute.
  35. Michalopoulos, Stelios & ,, 2019. "Folklore," CEPR Discussion Papers 13425, C.E.P.R. Discussion Papers.
  36. Peter Grajzl & Cindy Irby, 2019. "Reflections on study abroad: a computational linguistics approach," Journal of Computational Social Science, Springer, vol. 2(2), pages 151-181, July.
  37. Ulrich Fritsche & Johannes Puckelwald, 2018. "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series 201804, University of Hamburg, Department of Socioeconomics.
  38. José María Liberti & Mitchell A Petersen, 2019. "Information: Hard and Soft," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 8(1), pages 1-41.
  39. David Amaglobeli & Mr. Valerio Crispolti & Ms. Era Dabla-Norris & Pooja Karnane & Florian Misch, 2018. "Tax Policy Measures in Advanced and Emerging Economies: A Novel Database," IMF Working Papers 2018/110, International Monetary Fund.
  40. 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.
  41. Lino Wehrheim, 2019. "Economic history goes digital: topic modeling the Journal of Economic History," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(1), pages 83-125, January.
  42. Crocker H. Liu & Adam Nowak & Patrick S. Smith, 2018. "Does the Asset Pricing Premium Reflect Asymmetric or Incomplete Information?," Working Papers 18-06, Department of Economics, West Virginia University.
  43. Ali Sina Önder & Sergey V. Popov & Sascha Schweitzer, 2021. "Leadership in Scholarship: Editors’ Appointments and the Profession’s Narrative," Working Papers in Economics & Finance 2021-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
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