#611 · Primary category: Education & Research

pytorch-sentiment-analysis

bert cnn cnn-text-classification fasttext lstm lstm-sentiment-analysis natural-language-processing nlp pytorch pytorch-nlp pytorch-tutorial pytorch-tutorials recurrent-neural-networks rnn sentiment-analysis sentiment-classification torchtext transformers tutorial word-embeddings

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Project last updated:03/27/24

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MIT

Why we included this project

People picking up PyTorch for text classification will find this tutorial series hard to put down. It walks through the whole pipeline, starting with raw movie reviews and ending at a trained model, with each notebook introducing a different architecture: a neural bag-of-words baseline, then LSTMs, CNNs, transformers, and BERT. What sets it apart is that the theory comes before the code, so you grasp why a model works before copying it into your own project. That makes it useful both for implementing your own sequence classifier and for teaching NLP to a team.

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