Optimasi Parameter PSO Berbasis SVM Untuk Analisis Sentimen Review Jasa Maskapai Penerbangan Berbahasa Inggris

Optimasi Parameter PSO Berbasis SVM Untuk Analisis Sentimen Review Jasa Maskapai Penerbangan Berbahasa Inggris

• By Wati, Risa; Ernawati, Siti; Maryani, Ina;
• Jurnal Nasional Terakreditasi
• 358
• 64-71

As technology advances, many airline service users provide reviews of what they feel while using these services which are written through internet media, such as websites and social media. Currently, a lot of research is being done to analyze someone's review or opinion. This research teaches Support Vector Machine (SVM) as a method for processing data and optimizes Particle Swarm Optimization (PSO) as feature selection to improve. The parameters used in the SVM are the values of C and Epsilon while the parameters used in the PSO are the Population Size and Inertia Weight values. PSO was able to optimize the SVM model with the value of the SVM model before the implementation of the PSO feature selection was 84.25% and after the implementation of the PSO feature selection it increased to 87.39%. The increase in the value increase was 3.14%.

• Katakunci Optimasi Parameter; PSO; SVM; Jasa Maskapai Penerbangan
• URL https://ejournal.bsi.ac.id/ejurnal/index.php/evolusi/article/view/9248/4489
• Penerbit LPPM Universitas BSI, JAKARTA PUSAT DKI JAKARTA

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