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Hate Speech in the form of racism and sexism has become a nuisance on Twitter and it is important to segregate these sort of tweets from the rest. In this problem, I have taken the Twitter data that has both normal and hate tweets. So the task was to identify the tweets which have a positive connotation from the tweets that have a negative one.
Our fine-tuned BERT model is a sophisticated tool designed to detect sexism in texts. By leveraging advanced NLP techniques, contextual embeddings, and extensive pre-training, we aim to contribute to the ongoing efforts in addressing biases in language. By Arnaud Blanchard, Carina Prunkl, Marion Gagnadre & Elizabeth den Dulk