Analisis Sentimen Masyarakat Indonesia terhadap Pemindahan Ibu Kota Negara Indonesia pada Twitter

The relocation state capital of Indonesia raises various responses, especially from the Indonesian people. discussion related to these issues is very interesting study, how are positive and negative sentiments towards government's decision. This study aims analyze people regarding Indonesia, including chosen name Nusantara on Twitter. In this a comparison 3 algorithms used, namely Support Vector Machine (SVM), Naïve Bayes, K-Nearest Neighbor (KNN) algorithms. From results obtained 1,141 comments, while 591 comments. shows that have opinion new city Indonesia. classification model testing phase, 10-fold cross validation used. tests, SVM algorithm an accuracy value 85.71%, Bayes 76.70%, KNN 52.74%. can work better than KNN. for obtains low value, because sensitive features less relevant.