1. Saputra, S.A., Rosiyadi, D., Gata, W., Husain, S.M.: Sentiment analysis analysis of e-wallet sentiments on google play using the naive bayes algorithm based on particle swarm optimization. J. RESTI (Systems Engineering and Information Technology) 3(3), 377–382 (2019)
2. Fransiska, S., Irham Gufroni, A.: Sentiment analysis provider by. U on Google Play store reviews with TF-IDF and support vector machine (SVM) method. Sci. J. Inf. 7(2), 2407–7658 (2020)
3. Athallah Muhammad, A., et al.: Analysis of dana application user sentiment based on reviews on google play using the support vector machine method. Proc. Nat. Student Semin. Comput. Sci. Appl. 3(2), 194–204 (2022)
4. Devlin, J., et al.: BERTology meets biology: Interpreting attention in protein language models. NeurIPS Workshop on Machine Learning for Molecules and Materials (2019)
5. Clark, K., et al.: Electra: Pre-training text encoders as discriminators rather than generators (2020). arXiv preprint arXiv:2003.10555