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Medición de Incertidumbre Económica en Redes Sociales en Base a Modelos de Procesamiento de Lenguaje Natural

Author

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  • J. Daniel Aromí

    (IIEP UBA-Conicet/UCA)

Abstract

Este trabajo propone un índice que describe las opiniones económicas transmitidas por usuarios argentinos en la red social Twitter. Luego de identificar mensajes económicos, éstos son clasificadas según la frecuencia con la que se utilizan palabras asociadas a incertidumbre. La evaluación cualitativa del índice sugiere un fuerte vínculo con eventos económicos y políticos de relevancia. Estimaciones de modelos estadísticos indican que el índice contiene información sobre el ciclo económico, la confianza del consumidor y la evolución del mercado cambiario. Análisis complementarios demuestran que el foco en el concepto de incertidumbre y el uso de técnicas de procesamiento de lenguaje natural constituyen elementos clave para el desempeño satisfactorio de este indicador de opiniones.

Suggested Citation

  • J. Daniel Aromí, 2022. "Medición de Incertidumbre Económica en Redes Sociales en Base a Modelos de Procesamiento de Lenguaje Natural," Working Papers 179, Red Nacional de Investigadores en Economía (RedNIE).
    • Handle: RePEc:aoz:wpaper:179
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    File URL: https://rednie.eco.unc.edu.ar/files/DT/179.pdf
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    References listed on IDEAS

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