Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation

Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation

In recent years, Online Social Networks (OSNs) have received a great deal of attention for their potential use in the spatial and temporal modeling of events owing to the information that can be extracted from these platforms. Within this context, one of the most latent applications is the monitorin...

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Bibliographic Details
Main Authors: Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Victor Sanchez, Luis Javier García Villalba
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
twitter
data mining
word2vec
CRF
LSTM
geocoding
geoparsing
Online Access:https://www.mdpi.com/1424-8220/19/7/1746

Internet

https://www.mdpi.com/1424-8220/19/7/1746

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