Sentiment analysis of comments made by students at the end of their internships using data mining

  1. Chan-Pavón, M.V.
  2. Menendez-Dominguez, V.H.
  3. Escalante-Eúan, J.F.
  4. Gil-Herrera, R.D.J.
Actas:
International Symposium on Project Approaches in Engineering Education

ISSN: 2183-1378

Año de publicación: 2023

Proceedings of the PAEE/ALE 2023 - 15th International Symposium on Project Approaches in Engineering Education and 20th International Conference on Active Learning in Engineering Education Workshop

Volumen: 13

Páginas: 459-470

Tipo: Aportación congreso

GOOGLE SCHOLAR
Fuente de los datos: Scopus