Peer Review - OPTIMASI PARAMETER PSO BERBASIS SVM UNTUK ANALISIS SENTIMEN REVIEW JASA MASKAPAI PENERBANGAN BERBAHASA INGGRIS
Jurnal - Optimasi Parameter PSO Berbasis SVM Untuk Analisis Sentimen Review Jasa Maskapai Penerbangan Berbahasa Inggris
[1] Bai, Q. (2010).
Analysis of Particle Swarm Optimization Algorithm. Computer and Information
Science, 3(1), 180–184.
[2] Dharmadhikari, S. C., Ingle, M., & Kulkarni, P. (2011). Empirical Studies
on Machine Learning Based Text Classification Algorithms. Advanced
Computing: An International Journal ( ACIJ ), 2(6), 161–169.
[3] Ernawati, S. (2016). Penerapan Particle Swarm Optimization Untuk Seleksi
Fitur Pada Analisis Sentimen Review Perusahaan Penjualan Online Menggunakan
Naïve Bayes. Jurnal Evolusi, 4(1), 45–53.
[4] Hidayat, A. (2015). Analisis Sentimen Terhadap Wacana Politik Pada Media
Masa Online
Menggunakan Algoritma Support Vector Machine dan Naive Bayes. Jurnal
Elektronik Sistim Informasi Dan Komputer (JESIK), 1(1), 1–7.
[5] Indriani, N., Rainarli, E., & Dewi, K. E. (2017). Peringkasan dan Support
Vector Machine pada Klasifikasi Dokumen. Jurnal Infotel, 9(4),
1–6. https://doi.org/https://doi.org/10.208
95/infotel.v9i4
[6] Mohey, D., & Hussein, E. M. (2016). A survey on sentiment analysis
challenges. JOURNAL OF KING SAUD UNIVERSITY -ENGINEERING SCIENCES, (April).
https://doi.org/10.1016/j.jksues.2016.04.002
[7] Moraes, R., Valiati, J. F., & Neto, W. P. G. (2013). Document-level sentiment
classification : An empirical comparison between SVM and ANN. Expert Systems
With Applications, 40(2), 621–633. https://doi.org/10.1016/j.eswa.2012.07.059
[8] Muis, I. A., Affandes, M., Muis, I. A., Studi, P., Informatika, T., & Sains,
F. (2015). Penerapan Metode Support Vector Machine (SVM) Menggunakan Kernel
Radial Basis
Function (RBF) Pada Klasifikasi Tweet. Jurnal Sains, Teknologi Dan Industri,
12(2), 189–197.
[9] Patil, M. G., Galande, M. V., Kekan,V., & Dange, M. K. (2014).Sentiment
Analysis Using Support Vector Machine. International Journal of Innovative
Research in Computer and Communication Engineering, 2(1), 2607–2612.
[10] Retno, S., & Hayuningtyas, Y. R. (2020). Penerapan Particle Swarm Optimization
Terhadap Support Vector Machine Pada Review Pengguna Transportasi Udara. Jurnal Ilmu
Pengetahuan DanTeknologi Komputer, 5(2), 165–170.
[11] Samad, A., Basari, H., Hussin, B.,Pramudya, I. G., & Zeniarja, J.(2013).
Opinion Mining of Movie Review using Hybrid Method of Support Vector Machine
and Particle Swarm Optimization. Procedia Engineering, 53, 453–462.
https://doi.org/10.1016/j.proeng.2013.02.059
[12] Sari, E. P., & Apriatni, E. P.(2014). Analisis Tingkat Kepuasan Pelanggan
Dilihat Dari Dimensi Kualitas Pelayanan Dan Harga PT . Garuda Indonesia
Airlines (Persero), Tbk Kantor Cabang Semarang. Journal of Social and Politic,
1–11.
[13] Shi, Y. (2004).
Particle Swarm Optimization.
IEEE
Neural Networks Society, (February), 8–13.
[14] Vapnik, V. (1995). The nature of statistical learning theory. In New York: Springer.
[15] Warjiyono,
Aji, S., & dkk. (2019). The Sentiment Analysis of Fintech Users Using
Support Vector Machine and Particle Swarm Optimization Method. The 7th International
Conference on Cyberand IT Service Management (CITSM).
[16] Wati, R.
(2020). PENERAPAN ALGORITMA NAIVE BAYES DAN PARTICLE SWARM OPTIMIZATION UNTUK KLASIFIKASI
BERITA HOAX PADA MEDIA SOSIAL. Jurnal Ilmu Pengetahuan Dan Teknologi Komputer, 5(2), 9–14.
[17] Yudha, A.,
Nuryaman, Y., Nuddin, I., & Andhikawati, A. (2019). Sentiment Analysis
Pandangan Masyarakat Terhadap Tarif Tol Trans-Jawa Menggunakan Support Vector
Machine dan Particle Swarm Optimization. The 10th University Research Colloqium 2019, 13–22.