A1 - sentiment classification Using Deep Averaging Network
A2 - Using Deep learning architecture like RNN, LSTM , CNN , CNNLSTM ATTN
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Leveraged various approaches including Deep Averaging Network, BiLSTM and Transformer (Encoder) model for sentiment classification tasks on IMDB Movie Dataset. • Achieved Peak accuracy of 91.2% using Transformer (Encoder) model.
Amg9794/Sentiment-Classification
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Leveraged various approaches including Deep Averaging Network, BiLSTM and Transformer (Encoder) model for sentiment classification tasks on IMDB Movie Dataset. • Achieved Peak accuracy of 91.2% using Transformer (Encoder) model.
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