S. Makkl, “Vaksinasi Covid Tahap Ketiga Dimulai, Lansia Tetap Prioritas,†CNN Indonesia, Jakarta, 2021.

Iskandar, “Jokowi Disuntik Vaksin Covid-19 Jadi Trending Topic di Twitter,†Liputan6, 2021.

E. Breck and C. Cardie, “Oxford Handbooks Online: Opinion Mining and Sentiment Analysis,†in The Oxford Handbook of Computational Linguistics 2nd edition, Oxford University Press, 2017, pp. 1–30

V. Raghupathi, J. Ren, and W. Raghupathi, “Studying Public Perception about Vaccination : A Sentiment Analysis of Tweets,†Environ. Res. Public Heal., vol. 17, no. 3464, pp. 1–23, 2020.

S. Yadav, A. Ekbal, S. Saha, and P. Bhattacharyya, “Medical Sentiment Analysis using Social Media : Towards building a Patient Assisted System,â€pp. 2790–2797.

N. C. Dang, M. N. Moreno-García, and F. De la Prieta, “Sentiment analysis based on deep learning: A comparative study,†Electron., vol. 9, no. 483, 2020, doi: 10.3390/electronics9030483.

D. Li and J. Qian, “Text Sentiment Analysis Based on Long Short-Term Memory,†pp. 471–475, 2016.

M. A. Nurrohmat and A. SN, “Sentiment Analysis of Novel Review Using Long Short-Term Memory Method,†IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 13, no. 3, p. 209, 2019, doi: 10.22146/ijccs.41236.

W. C. A. Nugroho, I. N. N. Suryadiputra, B. H. Saharjo, and L. Siboro, Panduan Pengendalian Kebakaran Hutan dan Lahan Gambut. 2005

A. Yadav and D. K. Vishwakarma, “Sentiment analysis using deep learning architectures: a review,†Artif. Intell. Rev., vol. 53, no. 6, pp. 4335–4385, 2019, doi: 10.1007/s10462-019-09794-5.

P. D. Purnamasari and M. Taqiyuddin, “Performance Comparison of Text-based Sentiment Analysis using Recurrent Neural Network and Convolutional Neural Network.â€

G. Xu, Y. Meng, X. Qiu, Z. Yu, and X. Wu, “Sentiment Analysis of Comment Texts based on BiLSTM,†vol. XX, no. c, 2019, doi: 10.1109/ACCESS.2019.2909919.

Mike Schuster and K. K. Paliwal, “Bidirectional Recurrent Neural Networks,†IEEE Trans. SIGNAL Process., vol. 45, no. 11, pp. 2673–2681, 1997

S. Hochreiter and J. Schmidhuber, “LSTM can solve hard long time lag problems,†Adv. Neural Inf. Process. Syst., pp. 473–479, 1997.

Y. Gal and Z. Ghahramani, “A theoretically grounded application of dropout in recurrent neural networks,†Adv. Neural Inf. Process. Syst., pp. 1027– 1035, 2016.