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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Updated
Sep 19, 2022 - Jupyter Notebook
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
Framework for offensive-Language-Detection using Transformer and BiLSTM using two bench mark dataset - OLID and HateXplain.
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