ANALISIS SENTIMEN TWITTER TERHADAP KEDATANGAN ROHINGYA DI INDONESIA 2023 MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

The arrival of the Rohingya to Indonesia has become a topic that has received widespread attention on social media, especially on Twitter. The main aim of this research is to analyze public sentiment towards the arrival of the Rohingya through Twitter sentiment analysis. The results of sentiment analysis show that the arrival of Rohingya in Indonesia caused reactions that were dominated by negative sentiment on Twitter social media. Although quite a few tweets showed support and empathy, the majority of people expressed their concern or dissatisfaction. Neutral sentiment, although in smaller numbers, reflects a more balanced and informed discussion on this issue. The Support Vector Machine method without PSO produces an accuracy of 57.61%, while the Support Vector Machine method with PSO produces an accuracy of 69.26%. The use of Particle Swarm Optimization feature selection provides a significant increase in the performance of the Support Vector Machine method in predicting sentiment from Twitter data.