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References
- S. S. Al Jameel et al., “A Sentiment Analysis Approach to Predict an Individual’s Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia,†Int. J. Environ. Res. Public Health, vol. 18, no. 1, p. 218, 2020, doi: 10.3390/ijerph18010218
- Liu C, Zhou Q, Li Y, Garner L V, Watkins SP, Carter LJ, et al. Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases. 2020
- F. F. Rachman and S. Pramana, “Analisis Sentimen Pro dan Kontra Masyarakat Indonesia tentang Vaksin COVID-19 pada Media Sosial Twitter,†Indones. Heal. Inf. Manag. J., vol. 8, no. 2, pp. 100– 109, 2020
- Wongso, W. (n.d.). w11wo/indonesian-roberta-base-sentiment-classifier Hugging Face. Retrieved from huggingface.co: https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier
- A. Harun and D. P. Ananda, “Analisa Sentimen Opini Publik Tentang Vaksinasi Covid-19 di Indonesia Menggunakan Naïve Bayes dan Decision Treeâ€. 2021. Retrieved from https://journal.irpi.or.id/index.php/malcom/article/view/63/31
- S. Christina, “Sarcasm in Sentiment Analysis of Indonesian Text: A Literature Reviewâ€. 2019. Retrieved from https://media.neliti.com/media/publications/294966-sarcasm-in-sentiment-analysis-of-indones-bd55d2e2.pdf
- Peraturan Presiden (PERPRES) Nomor 99 Tahun 2020
- K. Rajeswari and P. Shanthibala, "Recognization of Sarcastic Emotions of Individuals on Social Network," Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 253-259, 2018
- E. Lunando and A. Purwarianti, “Indonesian Social Media Sentiment Analysis with Sarcasm Detection,†J. Sarj, Inst. Teknol. Bandung Bid. Tek. Elektro dan Inform., 2013.
- D. Hernikawati, “Kecenderungan Tanggapan Masyarakat Terhadap Vaksin Sinovac Berdasarkan Lexicon Based Sentiment Analysis,†J. IPTEK-KOM., 2021
- Bing Liu.(2010). Opinion Mining. Departemen of Computer Science, University of Illinois at Chicago
- Ronen Feldman. (2008). Applied Text Mining. Information Systems Department School Of Business Administration Hebrew University, Jerusalem
- RoBERTa: Pendekatan Pra-pelatihan BERT yang Dioptimalkan dengan Kua
- https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier
- Matulatuwa, Febrilien Matresya, Eko Sediyono, and Ade Iriani. 2017. “Text Mining Dengan Metode Lexicon Based Untuk Sentiment Analysis Pelayanan PT. Pos Indonesia Melalui Media Sosial Twitter.†Jurnal Masyarakat Informatika Indonesia 2 (3): 52–65
References
S. S. Al Jameel et al., “A Sentiment Analysis Approach to Predict an Individual’s Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia,†Int. J. Environ. Res. Public Health, vol. 18, no. 1, p. 218, 2020, doi: 10.3390/ijerph18010218
Liu C, Zhou Q, Li Y, Garner L V, Watkins SP, Carter LJ, et al. Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases. 2020
F. F. Rachman and S. Pramana, “Analisis Sentimen Pro dan Kontra Masyarakat Indonesia tentang Vaksin COVID-19 pada Media Sosial Twitter,†Indones. Heal. Inf. Manag. J., vol. 8, no. 2, pp. 100– 109, 2020
Wongso, W. (n.d.). w11wo/indonesian-roberta-base-sentiment-classifier Hugging Face. Retrieved from huggingface.co: https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier
A. Harun and D. P. Ananda, “Analisa Sentimen Opini Publik Tentang Vaksinasi Covid-19 di Indonesia Menggunakan Naïve Bayes dan Decision Treeâ€. 2021. Retrieved from https://journal.irpi.or.id/index.php/malcom/article/view/63/31
S. Christina, “Sarcasm in Sentiment Analysis of Indonesian Text: A Literature Reviewâ€. 2019. Retrieved from https://media.neliti.com/media/publications/294966-sarcasm-in-sentiment-analysis-of-indones-bd55d2e2.pdf
Peraturan Presiden (PERPRES) Nomor 99 Tahun 2020
K. Rajeswari and P. Shanthibala, "Recognization of Sarcastic Emotions of Individuals on Social Network," Int. J. Pure Appl. Math., vol. 118, no. 7, pp. 253-259, 2018
E. Lunando and A. Purwarianti, “Indonesian Social Media Sentiment Analysis with Sarcasm Detection,†J. Sarj, Inst. Teknol. Bandung Bid. Tek. Elektro dan Inform., 2013.
D. Hernikawati, “Kecenderungan Tanggapan Masyarakat Terhadap Vaksin Sinovac Berdasarkan Lexicon Based Sentiment Analysis,†J. IPTEK-KOM., 2021
Bing Liu.(2010). Opinion Mining. Departemen of Computer Science, University of Illinois at Chicago
Ronen Feldman. (2008). Applied Text Mining. Information Systems Department School Of Business Administration Hebrew University, Jerusalem
RoBERTa: Pendekatan Pra-pelatihan BERT yang Dioptimalkan dengan Kua
https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier
Matulatuwa, Febrilien Matresya, Eko Sediyono, and Ade Iriani. 2017. “Text Mining Dengan Metode Lexicon Based Untuk Sentiment Analysis Pelayanan PT. Pos Indonesia Melalui Media Sosial Twitter.†Jurnal Masyarakat Informatika Indonesia 2 (3): 52–65