Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ(1) Regularization

In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. Data gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based...

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Detalles Bibliográficos
Autores principales: Hernandez-Suarez, Aldo, Sanchez-Perez, Gabriel, Toscano-Medina, Karina, Martinez-Hernandez, Victor, Perez-Meana, Hector, Olivares-Mercado, Jesus, Sanchez, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982517/
https://www.ncbi.nlm.nih.gov/pubmed/29710833
http://dx.doi.org/10.3390/s18051380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982517/
https://www.ncbi.nlm.nih.gov/pubmed/29710833
http://dx.doi.org/10.3390/s18051380

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