Using centrality measures to improve the classification performance of tweets during natural disasters

ABSTRACT Online social networks like Twitter facilitate instant communication during natural disasters. A key problem is to distinguish in real-time the most assertive and contingent tweets related to the current disaster from the whole streaming. To address this problem, machine learning allows to...

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Autores principales: Vásquez,Rodrigo, Riquelme,Fabián, González-Cantergiani,Pablo, Vásquez,Cristobal
Lenguaje:English
Publicado: Universidad de Tarapacá. 2021
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000100073
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