"Creating a Metamodel Based on Machine Learning to Identify the Sentiment ..."

Alejandro Rodríguez González et al. (2020)

> Home

Details and statistics

DOI: 10.1109/CBMS49503.2020.00053

access: closed

type: Conference or Workshop Paper

metadata version: 2020-09-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cbms/GonzalezTPRJCCA20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cbms/GonzalezTPRJCCA20
Alejandro Rodríguez González, Juan Manuel Tuñas, Diego Fernandez Peces-Barba, Ernestina Menasalvas Ruiz, Almudena Jaramillo, Manuel Cotarelo, Antonio Conejo, Amalia Arce, Angel Gil:
Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study. CBMS 2020: 245-250

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.