Challenges in Discriminating Profanity from Hate Speech
Table 3: Classification results on the dataset using various feature spaces under 10-fold cross-validation.
['[BOLD] Feature', '[BOLD] Accuracy (%)']
These results are compared against a majority baseline and an oracle. This approach can help us quantify the potential upper limit of a classification system’s performance on the given data and features \citemalmasi-tetreault-dras:2015. We observe that character n-grams perform well for this task, with 4-grams achieving the best performance of all features.