Analisis Sentimen Komentar Twitter Tentang Kemajuan Kecerdasan Buatan (AI) Menggunakan Metode Support Vector Maching (SVM)

The rapid development of Artificial Intelligence (AI), particularly through the emergence of ChatGPT, has sparked various responses on social media platforms such as Twitter. This study aims to analyze Twitter users’ sentiments toward the advancement of AI ChatGPT using the Support Vector Machine (SVM) method. Data were collected from tweets containing the keywords “ChatGPT” and “AI” during a specific period. After going through preprocessing stages such as text cleaning, tokenization, stopword removal, and stemming, the data were classified into three sentiment categories: positive, negative, and neutral. The analysis results show that the SVM method can classify sentiments with high and stable accuracy. In general, most Twitter users expressed positive sentiments toward the advancement of AI ChatGPT, particularly regarding its ability to assist in work and education. However, negative sentiments were also found, highlighting concerns about ethics, privacy, and the potential replacement of human roles. This study is expected to provide an overview of public perceptions regarding AI development and serve as a basis for developing policies and utilizing technology more wisely.