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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| Main Authors: | , , , |
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| Language: | English |
| Published: |
Universidad de Tarapacá.
2021
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| Subjects: | |
| Online Access: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000100073 |
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