bentrevett/pytorch-sentiment-analysis resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4613 stars · 1169 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of Jupyter notebook tutorials teaching sequence classification with PyTorch, using sentiment analysis on movie reviews as the running example. It progresses from neural bag-of-words through RNNs/LSTMs, CNNs, and pre-trained transformers like BERT.

Use cases

• learn pytorch for nlp
• sentiment analysis tutorial
• train lstm for text classification
• fine-tune bert for sentiment classification
• understand rnn and lstm theory with code
• cnn text classification example
• getting started with torchtext

When to choose

• you want hands-on, notebook-based learning of text classification in PyTorch
• you want to see progressively more advanced models (bag-of-words, RNN, CNN, transformer) on the same task
• you are a beginner to NLP deep learning with some Python background

When to avoid

• you need production-ready sentiment analysis code
• you want a maintained library rather than educational notebooks
• you need tasks beyond sequence classification, such as generation or NER

Facets

learning-resource · maturity active

machine-learning nlp deep-learning machine-learning tutorials python pytorch torchtext sentiment-analysis jupyter-notebooks lstm cnn transformers bert text-classification natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bentrevett/pytorch-sentiment-analysis")