Manuaba, I. B. K. (2023). A Sentiment Analysis Model for the COVID-19 Vaccine in Indonesia Using Twitter API v2, Text Blob, and Googletrans. Procedia Computer Science, 227, 1101-1110. https://doi.org/10.1016/j.procs.2023.10.621
ISO-690 (author-date, English)MANUABA, Ida Bagus Kerthyayana, 2023. A Sentiment Analysis Model for the COVID-19 Vaccine in Indonesia Using Twitter API v2, Text Blob, and Googletrans. Procedia Computer Science. 15 Juni 2023. Vol. 227, , p. 1101-1110. DOI 10.1016/j.procs.2023.10.621.
Modern Language Association 9th editionManuaba, I. B. K. „A Sentiment Analysis Model for the COVID-19 Vaccine in Indonesia Using Twitter API v2, Text Blob, and Googletrans.“. Procedia Computer Science, Bd. 227, Juni 2023, S. 1101-10, https://doi.org/10.1016/j.procs.2023.10.621.
Mohr Siebeck - Recht (Deutsch - Österreich)Manuaba, Ida Bagus Kerthyayana: A Sentiment Analysis Model for the COVID-19 Vaccine in Indonesia Using Twitter API v2, Text Blob, and Googletrans., Procedia Computer Science 2023, 1101-1110.
Emerald - HarvardManuaba, I.B.K. (2023), „A Sentiment Analysis Model for the COVID-19 Vaccine in Indonesia Using Twitter API v2, Text Blob, and Googletrans.“, Procedia Computer Science, Vol. 227, S. 1101-1110.