Optimasi Parameter Support Vector Machine Dengan Algoritma Genetika Untuk Analisis Sentimen Pada Media Sosial Instagram

Social media is an online that users use to interact with each other by expressing themselves giving comments, and one example Instagram. All the collected comments will form a public opinion. This opinion can be used sentiment analysis become information. The method commonly carry out classification using machine learning. One of learning often Support Vector Machine (SVM). However, on non-linear problems such as analysis, SVM requires kernel map vectors into high-dimensional spaces solve problems. problem faced in choose optimal parameters for model produce good model. study proposes new approach obtain Genetic Algorithm (GA). designed SVM-GA from data collection, processing, classification, evaluation stages. results showed best accuracy produced optimized genetic algorithm was 81.6%, or increase 2.4% without GA optimization.