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1
Creating a Metamodel Based on Machine Learning to Identify ..:
, In:
2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
,
Rodriguez Gonzalez, Alejandro
;
Tunas, Juan Manuel
;
Fernandez Peces-Barba, Diego
... - p. 245-250 , 2020
Link:
https://doi.org/10.1109/CBMS49503.2020.00053
RT T1 <cTitle>2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)</cTitle>: T1 <Title>Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9183004&Exemplar=1&LAN=DE A1 Rodriguez Gonzalez, Alejandro A1 Tunas, Juan Manuel A1 Fernandez Peces-Barba, Diego A1 Menasalvas Ruiz, Ernestina A1 Jaramillo, Almudena A1 Cotarelo, Manuel A1 Conejo, Antonio A1 Arce, Amalia A1 Gil, Angel YR 2020 SN 2372-9198 K1 Tools K1 Twitter K1 Vaccines K1 Machine learning K1 Diseases K1 Analytical models K1 twitter K1 vaccine K1 machine learning K1 sentiment analysis K1 metamodel SP 245 OP 250 LK http://dx.doi.org/https://doi.org/10.1109/CBMS49503.2020.00053 DO https://doi.org/10.1109/CBMS49503.2020.00053 SF ELIB - SuUB Bremen
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