Results show that our proposed framework performs consistently better than its counterpart.
the results show that with 3k training examples better results can be obtained by our approach than relying on 5.1k training examples for the state-of-the-art supervised machine learning approach (Baseline) based on common word embeddings for racist tweet detection.