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CoViNAR: un conjunto de datos de redes sociales conscientes del contexto para la predicción y el análisis del nivel
Soofi Shafiya1, Mudasir Ahmad Wani2, Suraiya Jabin1
1Department of Computer Science, Faculty of Sciences, Jamia Millia Islamia, New Delhi, India.
Frontiers in artificial intelligence
|September 5, 2025
Resumen
Este estudio utiliza datos de redes sociales para rastrear las necesidades de recursos de COVID-19 en tiempo real, mejorando la preparación para la pandemia y la asignación de recursos. Los resultados muestran una fuerte correlación entre las redes sociales
Área de la Ciencia:
- Salud pública
- Ciencias sociales computacionales
- Ciencia de los datos
Sus antecedentes:
- La pandemia de COVID-19 puso de relieve las deficiencias en la gestión global de los recursos de salud y el pronóstico de la demanda.
- El análisis de datos en tiempo real es crucial para una respuesta eficaz a la pandemia.
Objetivo del estudio:
- Mejorar la preparación para la pandemia mediante el análisis de los medios sociales para las necesidades de recursos de salud en tiempo real.
- Desarrollar un método para detectar y controlar la escasez y disponibilidad de recursos durante las crisis sanitarias.
Principales métodos:
- Recopiló más de 27.5 millones de tweets relacionados con el COVID-19 utilizando SnScrape.
- Creó el conjunto de datos CoViNAR de 14,000 tweets anotados utilizando BERTopic para el filtrado consciente del contexto.
- Clasificadores de aprendizaje automático entrenados y evaluados con incorporaciones de DistilBERT para la categorización de tweets.
Principales resultados:
- El mejor clasificador logró más del 96% de precisión, recuerdo y puntuación F1.
- El análisis temporal reveló una fuerte correlación entre los tuits de "Necesidad/Disponibilidad" y el aumento de casos de COVID-19 en los Estados Unidos, el Reino Unido y la India.
- Demostró la eficacia del análisis de las redes sociales para el monitoreo de recursos en tiempo real.
Conclusiones:
- El análisis de las redes sociales proporciona una herramienta viable para la vigilancia proactiva de la salud pública.
- El enfoque permite una mejor asignación de recursos y una intervención temprana en crisis durante las pandemias.
- Este método puede fortalecer los sistemas globales de gestión de la salud para futuras emergencias sanitarias.
Palabras clave:
BERTópicoEl COVID-19DistilBERT (en inglés)El SVMProcesamiento del lenguaje naturallas redes socialesMás Videos Relacionados
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