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Sentiment Analysis of Tweets using biLSTM built with PyTorch

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yuanbit/sentiment140-biLSTM

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A deep learning model built using PyTorch and TorchText to classify sentiments of tweets using a subset of the sentiment140 dataset.

The model uses pre-trained GloVe embeddings to build the vocabulary and the encoder uses two layers of biLSTM and dropout for regularization.

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