During the Covid-19 pandemic, many opinions were voiced by the public using social media platforms, one of which was using Twitter. By analyzing the opinion, it can be classified that the opinion is a positive opinion which is a support opinion, or a negative opinion which is a derogatory opinion. But there is another opinion called sarcasm opinion. In this study, analyzing the sarcasm opinions contained in twiiter. For sentiment analysis using unigram, select k-best, and TF-IDF, for classification, namely Naive Bayes. Whereas for the classification of sarcasm using the Random Forest Classifier which has 4 features, namely, Sentiment-relate, Puncuation-relate, Lexcial and Syntatic, and Pattern-relare, for classification using the Decission tree. The results in this study on the training data obtained an accuracy rate of 76%, and for the test data obtained an accuracy rate of 92%.
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5 September 2024
THE 4TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, MATHEMATICS, AND INFORMATICS: ICASMI2022
8–9 September 2022
Bandar Lampung, Indonesia
Research Article|
September 05 2024
Detecting sarcasm in public opinion about COVID-19 using NBC and RBF
Debby Alita;
Debby Alita
a)
1
Faculty of Engineering and Computer Science, Universitas Teknokrat Indonesia
, Jl. ZA. Pagar Alam No. 9-11, Labuhan Ratu, Kedaton, Bandar Lampung, Lampung, 35132, Indonesia
a)Corresponding author: [email protected]
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Nirwana Hendraastuty;
Nirwana Hendraastuty
b)
1
Faculty of Engineering and Computer Science, Universitas Teknokrat Indonesia
, Jl. ZA. Pagar Alam No. 9-11, Labuhan Ratu, Kedaton, Bandar Lampung, Lampung, 35132, Indonesia
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Sigit Priyanta;
Sigit Priyanta
c)
2
Faculty of Math and Science, Universitas Gadjah Mada
, Yogyakarta Bulaksumur, Caturtunggal, Depok, Sleman, Daerah Istimewa Yogyakarta, 55281, Indonesia
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Andi Nurkholis;
Andi Nurkholis
d)
1
Faculty of Engineering and Computer Science, Universitas Teknokrat Indonesia
, Jl. ZA. Pagar Alam No. 9-11, Labuhan Ratu, Kedaton, Bandar Lampung, Lampung, 35132, Indonesia
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Ahmad Ari Aldino;
Ahmad Ari Aldino
e)
1
Faculty of Engineering and Computer Science, Universitas Teknokrat Indonesia
, Jl. ZA. Pagar Alam No. 9-11, Labuhan Ratu, Kedaton, Bandar Lampung, Lampung, 35132, Indonesia
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Sofie Mutia Afifah;
Sofie Mutia Afifah
1
Faculty of Engineering and Computer Science, Universitas Teknokrat Indonesia
, Jl. ZA. Pagar Alam No. 9-11, Labuhan Ratu, Kedaton, Bandar Lampung, Lampung, 35132, Indonesia
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Salsa Shafira
Salsa Shafira
1
Faculty of Engineering and Computer Science, Universitas Teknokrat Indonesia
, Jl. ZA. Pagar Alam No. 9-11, Labuhan Ratu, Kedaton, Bandar Lampung, Lampung, 35132, Indonesia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2970, 040001 (2024)
Citation
Debby Alita, Nirwana Hendraastuty, Sigit Priyanta, Andi Nurkholis, Ahmad Ari Aldino, Sofie Mutia Afifah, Salsa Shafira; Detecting sarcasm in public opinion about COVID-19 using NBC and RBF. AIP Conf. Proc. 5 September 2024; 2970 (1): 040001. https://doi.org/10.1063/5.0208763
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