Open Access
Issue
E3S Web Conf.
Volume 500, 2024
The 1st International Conference on Environment, Green Technology, and Digital Society (INTERCONNECTS 2023)
Article Number 01017
Number of page(s) 8
Section Computer Science
DOI https://doi.org/10.1051/e3sconf/202450001017
Published online 11 March 2024
  1. V. Fitriyana, Lutfi Hakim, Dian Candra Rini Novitasari, and Ahmad Hanif Asyhar, “Analisis Sentimen Ulasan Aplikasi Jamsostek Mobile Menggunakan Metode Support Vector Machine,” J. Buana Inform., vol. 14, no. 01, pp. 40–49, 2023, doi: 10.24002/jbi.v14i01.6909. [CrossRef] [Google Scholar]
  2. C. Annisa, “Perbandingan Algoritma Na¨ Ive Bayes Classifier Dan K-Nearest Neighbor Pada Sentimen Review Aplikasi Mobile Jkn,” J. Media Inform. Budidarma, vol. 7, pp. 1033–1040, 2023, doi: 10.30865/mib.v7i3.6242. [Google Scholar]
  3. Y. Ansori and K. F. H. Holle, “Perbandingan Metode Machine Learning dalam Analisis Sentimen Twitter,” J. Sist. dan Teknol. Inf., vol. 10, no. 4, p. 429, 2022, doi: 10.26418/justin.v10i4.51784. [Google Scholar]
  4. M. Zaki Anbari and B. Sugiantoro, “Studi Komparasi Metode Analisis Sentimen Naïve Bayes, SVM, dan Logistic Regression Pada Piala Dunia 2022,” J. Media Inform. Budidarma, vol. 7, no. April, pp. 688–695, 2023, doi: 10.30865/mib.v7i2.5383. [Google Scholar]
  5. T. A.M and A. Yaqin, “Perbandingan Algoritma Naïve Bayes, K-Nearest Neighbors dan Random Forest untuk Klasifikasi Sentimen Terhadap BPJS Kesehatan pada Media Twitter,” InComTech J. Telekomun. dan Komput., vol. 12, no. 1, p. 01, 2022, doi: 10.22441/incomtech. v12i1.13642. [CrossRef] [Google Scholar]
  6. S. K. Idris, Y. A. Mustofa, and I. A. Salihi, “Analisis Sentimen Terhadap Penggunaan Aplikasi Shopee Mengunakan Algoritma Support Vector Machine (SVM),” Jambura J. Electr. Electron. Eng., vol. 5, no. 1, pp. 32–35, 2023, doi: 10.37905/jjeee.v5i1.16830. [CrossRef] [Google Scholar]
  7. M. H. Asnawi, I. Firmansyah, R. Novian, and R. S. Pontoh, “Perbandingan Algoritma Na– ive Bayes, K-NN, dan SVM dalam Pengklasifikasian Sentimen Media Sosial,” Semin. Nas. Stat., no. January, pp. 1–12, 2021, doi: 10.1234/pns.v10i.85. [Google Scholar]
  8. D. G. Nugroho, Y. H. Chrisnanto, and A. Wahana, “Analisis Sentimen Pada Jasa Ojek Online … (Nugroho dkk.),” pp. 156–161, 2015. [Google Scholar]

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