Published: 2023-04-01
Analisis Sentimen dengan Metode Naïve Bayes, SMOTE dan Adaboost pada Twitter Bank BTN
DOI: 10.35870/jtik.v7i3.707
Kurnia, Indah Purnamasari, Dedi Dwi Saputra
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Kurnia:
Nusamandiri University
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Indah Purnamasari:
Nusamandiri University
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Dedi Dwi Saputra:
Nusamandiri University
Abstract
Social media has become a means of sharing information with each other, from being a means of promotion to being used to spread opinions. Because of the ease of technology, anyone can access social media and comment on issues that are being discussed. Branding image is also an important thing, because people can interact directly through social media, be it support or criticism. So this study was conducted to analyze the sentiment on twitter towards Bank BTN as a bank that has long focused on housing loans. To analyze the sentiment, an experiment was carried out by a combination of SMOTE, Naïve Bayes and Adaboost algorithms. Before calculating the algorithm, stemming and stopwords are carried out so that the data used does not contain noise. The results showed that the combination of SMOTE, Naïve Bayes, and Adaboost showed the best modeling results with an accuracy of 87.05%, precision of 90.63%, recall of 83.00%, and AUC of 0.909.
Keywords
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 7 No. 2 (2023)
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Section: Computer & Communication Science
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Published: 2023-04-01
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/jtik.v7i3.707
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Kurnia, Nusamandiri University
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Nusa Mandiri, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia
Indah Purnamasari, Nusamandiri University
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Nusa Mandiri, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia
Dedi Dwi Saputra, Nusamandiri University
Program Studi Sistem Informasi, Fakultas Teknologi Informasi, Universitas Nusa Mandiri, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia
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