Sentiment Analysis With Transformers Applied to Education: Systematic Review.

Anabel Pilicita Garrido; Enrique Barra

doi:10.9781/ijimai.2025.02.008

Authors

Anabel Pilicita Garrido Universidad Politécnica de Madrid.
Enrique Barra Universidad Politécnica de Madrid.

DOI:

https://doi.org/10.9781/ijimai.2025.02.008

Keywords:

Artificial Intelligence, Natural Language Processing, Sentiment Analysis in Education, Transformers, Systematic Review

Supporting Agencies

The authors would like to acknowledge the support of the FUN4DATE (PID2022-136684OB-C22) project funded by the Spanish Agencia Estatal de Investigación (AEI) 10.13039/501100011033.

Abstract

Sentiment analysis, empowered by artificial intelligence, can play a critical role in assessing the impact of cultural factors on the advancement of Open Science and artificial intelligence. Additionally, it can offer valuable insights into the open data gathered within educational contexts. This article presents a systematic review of the use of Transformers models in sentiment analysis in education. A systematic review approach was used to analyze 41 articles from recognized digital databases. The results of the review provide a comprehensive understanding of previous research related to the use of Transformers models in education for the task of sentiment analysis, their benefits, challenges, as well as future areas of research that can lay the foundation for a more sustainable and effective education system.

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