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Machine Learning et Veille économique : Analyse des données RePEc à l’aide des techniques du NLP

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  • Mohamed Bassi

Abstract

Dans un monde de plus en plus digitalisé, la collecte et le traitement de la donnée numérique provenant du web et des objets connectés s’imposent comme une activité de première importance dans les centres de recherche et autres think tanks. Avec le langage Python nous avons développé un outil de veille économique qui permet d’analyser les publications des chercheurs en économie affiliés aux institutions africaines. Cet outil met en jeu des algorithmes de Machine Learning, en particulier des techniques de Traitement du Langage Naturel. Les jeux de données mis en jeu émanent de la plateforme Research Papers in Economics, et ce à travers le web scraping.

Suggested Citation

  • Mohamed Bassi, 2023. "Machine Learning et Veille économique : Analyse des données RePEc à l’aide des techniques du NLP," Policy briefs on Economic Trends and Policies 2307, Policy Center for the New South.
    • Handle: RePEc:ocp:pbecon:pb_11_23
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