bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Covers progressive architectural approaches from bag-of-words and LSTMs through CNNs to transformer-based models like BERT, with each tutorial demonstrating complete workflows for data preprocessing, training, and evaluation using TorchText. Implementations use the PyTorch datasets library for streamlined data loading and are executable as Jupyter notebooks in Google Colab, targeting practitioners learning sequence classification on movie review sentiment prediction tasks.
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