Written in PyTorch and using TorchText library
Experimented with different recurrent unit types (RNN, GRU, LSTM), layer sizes, network depth, and utilised GoogleNews-vectors-negative300 word embeddings.
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Sentiment Classification on Stanford Sentiment Treebank
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