Sentiment analysis of Twitter regarding the IKN (Indonesian Capital City) project in Indonesia. The dataset was obtained through Twitter data scraping and divided into two sentiment labels: positive and negative. The machine learning models used were Support Vector Machine (SVM) and Logistic Regression. The accuracy of the SVM machine learning model on the data was 91%, while for Logistic Regression, it was 89%.