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Breuer, W (2021). The EFA Annual Meeting 2020 in Helsinki, Finland: Conference Digitalization and Textual Analyses of EFA Papers 2009 and 2010. Credit and Capital Markets – Kredit und Kapital, 54(1), 117-131. https://doi.org/10.3790/ccm.54.1.117
Breuer, Wolfgang (2021). "The EFA Annual Meeting 2020 in Helsinki, Finland: Conference Digitalization and Textual Analyses of EFA Papers 2009 and 2010" Credit and Capital Markets – Kredit und Kapital, vol. 54no. 1, 2021 pp. 117-131. https://doi.org/10.3790/ccm.54.1.117
Breuer, W (2021). The EFA Annual Meeting 2020 in Helsinki, Finland: Conference Digitalization and Textual Analyses of EFA Papers 2009 and 2010. Credit and Capital Markets – Kredit und Kapital, Vol. 54 (Issue 1), pp 117-131. https://doi.org/10.3790/ccm.54.1.117

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The EFA Annual Meeting 2020 in Helsinki, Finland: Conference Digitalization and Textual Analyses of EFA Papers 2009 and 2010

Breuer, Wolfgang

Credit and Capital Markets – Kredit und Kapital, Vol. 54 (2021), Iss. 1 : pp. 117–131

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Univ.-Prof. Dr. Wolfgang Breuer, Rheinisch-Westfälische Technische Hochschule Aachen, Department of Finance, School of Business and Economics, RWTH Aachen University, Templergraben 64, D-52056 Aachen.

References

  1. Blei, D. M./Ng, A. Y./Jordan, M. I. (2003): Latent dirichlet allocation. Journal of Machine Learning Research Vol. 3(1): 993–1022.  Google Scholar
  2. Breuer, W./Steininger, B. I. (2020): Recent trends in real estate research: a comparison of recent working papers and publications using machine learning algorithms. Journal of Business Economics Vol. 90 (1): 963–974.  Google Scholar
  3. Dyer, T./Lang, M./Stice-Lawrence, L. (2017): The evolution of 10-K textual disclosure: evidence from latent dirichlet allocation, Journal of Accounting and Economics Vol. 64 (2): 221–245.  Google Scholar
  4. Silge, J./Robinson, D. (2016): tidytext: text mining and analysis using tidy data principles in R, Journal of Open Source Software Vol. 3(1): 37.  Google Scholar
  5. Breuer, W./Steininger, B. I. (2020): Recent trends in real estate research: a comparison of recent working papers and publications using machine learning algorithms. Journal of Business Economics Vol. 90 (1): 963–974.  Google Scholar
  6. Blei, D. M./Ng, A. Y./Jordan, M. I. (2003): Latent dirichlet allocation. Journal of Machine Learning Research Vol. 3(1): 993–1022.  Google Scholar
  7. Dyer, T./Lang, M./Stice-Lawrence, L. (2017): The evolution of 10-K textual disclosure: evidence from latent dirichlet allocation, Journal of Accounting and Economics Vol. 64 (2): 221–245.  Google Scholar
  8. Silge, J./Robinson, D. (2016): tidytext: text mining and analysis using tidy data principles in R, Journal of Open Source Software Vol. 3(1): 37.  Google Scholar