Hate Speech Detection on Indonesian Instagram Comments using FastText Approach

Instagram is one of social media hype, potentially used to spread hatred. The objective of our study is to conduct hate speech detection on Instagram comments for Indonesian language. We used FastText as the classifier and word representation. The experiment results showed that FastText is better than Random Forest Decision Tree and Logistic Regression. The highest result achieved when FastText is combined with bigram feature with F-measure of 65.7%.