Identifying polarity in tweets from an imbalanced dataset about diseases and vaccines using a meta-model based on machine learning techniques

  1. Rodríguez-González, A.
  2. Tuñas, J.M.
  3. Santamaría, L.P.
  4. Peces-Barba, D.F.
  5. Ruiz, E.M.
  6. Jaramillo, A.
  7. Cotarelo, M.
  8. Conejo Fernández, A.J.
  9. Arce, A.
  10. Gil, A.
Revue:
Applied Sciences (Switzerland)

ISSN: 2076-3417

Année de publication: 2020

Volumen: 10

Número: 24

Pages: 1-13

Type: Article

DOI: 10.3390/APP10249019 GOOGLE SCHOLAR lock_openAccès ouvert editor

Objectifs de Développement Durable

La source de données: Scopus