COVID-19 and Media datasets: Period- and location-specific textual data mining
The vocabulary used in news on a disease such as COVID-19 changes according the period. This aspect is discussed on the basis of MEDISYS-sourced media datasets via two studies. The first focuses on terminology extraction and the second on period prediction according to the textual content using machine learning approaches.
Mots-clés : fouille de données; analyse de données; fouille de textes; terminologie; moyen de communication de masse; temps; épidémie; covid-19; localisation; analyse spatiale
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Agents Cirad, auteurs de cette publication :
- Roche Mathieu — Es / UMR TETIS