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Données non structurées en économie - CIRANO

Thierry Warin, PhD

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Agenda

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Agenda

  1. Données structurées et données non structurées

  2. Modèles

  3. Applications: Banques centrales et accords de libre-échange

  4. Références

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1. Données structurées et données non structurées

  • Données structurées

  • Données non structurées et sciences sociales

  • "ET"

  • Données massives ET données intelligentes ET nouvelles données de l'économie numérique

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2. Modèles

  • Modèles inférentiels de la science économique

  • Modèles prédictifs issus du domaine de l'intelligence artificielle

  • Intérêt: augmenter la capacité informationnelle et décisionnelle du chercheur

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3. Applications

  • Contexte: Banque centrale européenne

  • Question de recherche: crédibilité des banques centrales

  • Méthode: traitement automatique des langues (NLP)

  • Extension:

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References

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References

  • Kouloukoui D., de Marcellis-Warin N., Armellini F., Warin Th. and Andrade Torres E. (2021) “Factors influencing the perception of exposure to climate risks: evidence from the world’s largest carbon-intensive industries” Journal of Cleaner Production https://doi.org/10.1016/j.jclepro.2021.127160

  • Vorreuther C. M. and Warin Th. (2021) “Patent Relatedness and Velocity in the Chinese Pharmaceutical Industry: A Dataset of Jaccard Similarity Indices” (with Vorreuther, C.), Data in Brief, Volume 35 https://doi.org/10.1016/j.d

  • Warin Th. (2020) “Global Research on Coronaviruses: An R Package”, J Med Internet Res, Vol. 22, No. 8, August, 2020 [DOI:10.2196/19615]

  • Sanger W. and Warin Th. (2020) “How Data Science can (also) help central bankers: An NLP study of the European Central Bank presidents’ speeches” Global Economy Journal, Vol. 20, No. 02, 2050009

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References

  • Sanger W. and Warin Th. (2018) “European Central Bank’s Monetary Policy Decisions: A Dataset of Two Decades of Press Conferences”, Data in Brief, pp. 794-798, [DOI: 10.1016/j.dib.2018.08.061

  • Warin Th. and Sanger W. (2018) “Connectivity and Closeness Among International Financial Institutions: A Network Theory Perspective”, International Journal of Comparative Management, lead article, vol. 1, no. 3, pp. 225-254 [DOI: 10.1504/IJCM.2018.10015714] [PDF] Highly Commended Paper Award (2017-2018)

  • Sanger W. and Warin Th. (2018) “Public’s Perception of Political Parties during the 2014 Quebec Election on Twitter” Canadian Journal of Communication, volume 43.2, [DOI: 10.22230/cjc.2018v43n2a3251]

  • Sanger W. and Warin Th. (2017) “The 2015 Canadian Election on Twitter: A Tidy Algorithmic Analysis” Proceedings of the 2017 International Conference on Computational Science and Computational Intelligence (CSCI’17: 14-16 December, Las Vegas, Nevada, USA); Included in IEEE Xplore; Publisher: IEEE Computer Society, Editors: H. R. Arabnia, L. Deligiannidis, F. G. Tinetti, Q-N. Tran, M. Qu Yang; ISBN-13: 978-1-5386-2652-8; BMS Part # CFP1771X-USB; [DOI: 10.1109/CSCI.2017.158]; paper acceptance rate: 21%; 2017

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References

  • Le Duc R., Sanger W. and Warin Th. (2017) “Mapping Innovations in Artificial Intelligence Through Patents: A Social Data Science Perspective”, Proceedings of the 2017 International Conference on Computational Science and Computational Intelligence (CSCI’17: 14-16 December, Las Vegas, Nevada, USA); Included in IEEE Xplore; Publisher: IEEE Computer Society, Editors: H. R. Arabnia, L. Deligiannidis, F. G. Tinetti, Q-N. Tran, M. Qu Yang; ISBN-13: 978-1-5386-2652-8; BMS Part # CFP1771X-USB; [DOI 10.1109/CSCI.2017.40]; paper acceptance rate: 21%; 2017

  • de Marcellis-Warin N., Sanger W. and Warin Th. (2017) “A Network Analysis of Financial Conversations on Twitter” International Journal of Web Based Communities, Volume 13, Issue 3, pp. 286-310 [DOI: 10.1504/IJWBC.2017.10004118]

  • Leiter D, and Warin Th. (2012) “Homogenous goods markets: an empirical study of price dispersion on the internet”, International Journal of Economics and Business Research, Vol. 4, No. 5, [DOI: 10.1504/IJEBR.2012.048776] [Literature Mapping]

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Agenda

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