Detecting Racist Text in Bengali: An Ensemble Deep Learning Framework
S. S. Saruar Nusrat Sadia
Racism is an alarming phenomenon in our country as well as all over the
world. Every day we have come across some racist comments in our daily life and
virtual life. Though we can eradicate this racism from virtual life (such as
Social Media). In this paper, we have tried to detect those racist comments
with NLP and deep learning techniques. We have built a novel dataset in the
Bengali Language. Further, we annotated the dataset and conducted data label
validation. After extensive utilization of deep learning methodologies, we have
successfully achieved text detection with an impressive accuracy rate of
87.94\% using the Ensemble approach. We have applied RNN and LSTM models using
BERT Embeddings. However, the MCNN-LSTM model performed highest among all those
models. Lastly, the Ensemble approach has been followed to combine all the
model results to increase overall performance.