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We aim to clasify tweets based on three categories 0: hate, 1: offensive, 2: neutral. For this purpose we use HateBert pretrained model with RNNs as the trainable layers

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Contextual embeddings Using RNNs

Using HateBert and two RNNs as its last trainable layers to classify context of the tweets in the dataset (0: hate tweets, 1: offensive tweets, 2: neutral tweets)

pre_main_data is the preprocessed dataset

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We aim to clasify tweets based on three categories 0: hate, 1: offensive, 2: neutral. For this purpose we use HateBert pretrained model with RNNs as the trainable layers

hate-speech-detection contextual-embeddings tweet-classification t5-model hatebert

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