DL model which classifies a given input sentence into 6 different labels. It is RNN which consists of various layers like LSTM, DropOut, Embeddings etc. Tokenizer and padding is used for performing the text preprocessing.
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DL model which classifies a given input sentence into 6 different labels. It is RNN which consists of various layers like LSTM, DropOut, Embeddings etc. Tokenizer and padding is used for performing the text preprocessing.
chanakya1310/Toxic-Comment---ML
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DL model which classifies a given input sentence into 6 different labels. It is RNN which consists of various layers like LSTM, DropOut, Embeddings etc. Tokenizer and padding is used for performing the text preprocessing.
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