Easy Data Augmentation in Sentiment Analysis of Cyberbullying
Alwan Wirawan Hasan Dwi Cahyono Winarno
Instagram, a social media platform, has in the vicinity of 2 billion active
users in 2023. The platform allows users to post photos and videos with one
another. However, cyberbullying remains a significant problem for about 50% of
young Indonesians. To address this issue, sentiment analysis for comment
filtering uses a Support Vector Machine (SVM) and Easy Data Augmentation (EDA).
EDA will augment the dataset, enabling robust prediction and analysis of
cyberbullying by introducing more variation. Based on the tests, SVM
combination with EDA results in a 2.52% increase in the k-Fold Cross Validation
score. Our proposed approach shows an improved accuracy of 92.5%, 2.5% higher
than that of the existing state-of-the-art method. To maintain the
reproducibility and replicability of this research, the source code can be
accessed at uns.id/eda_svm.