bentrevett/pytorch-sentiment-analysis
Tutorials teaching sentiment analysis using PyTorch and TorchText with neural models like BERT, LSTM, and CNN.
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This repository provides Jupyter Notebook tutorials for building sequence classification models for sentiment analysis using PyTorch. It covers multiple neural architectures including neural bag-of-words, recurrent neural networks (LSTM), convolutional neural networks, and transformer-based models like BERT. The tutorials demonstrate data loading with TorchText and guide users through training models to classify sentiment from movie reviews.
Frequently asked
- What is bentrevett/pytorch-sentiment-analysis?
- Tutorials teaching sentiment analysis using PyTorch and TorchText with neural models like BERT, LSTM, and CNN.
- Is pytorch-sentiment-analysis open source?
- Yes — bentrevett/pytorch-sentiment-analysis is open source, released under the MIT license.
- What language is pytorch-sentiment-analysis written in?
- bentrevett/pytorch-sentiment-analysis is primarily written in Jupyter Notebook.
- How popular is pytorch-sentiment-analysis?
- bentrevett/pytorch-sentiment-analysis has 4.6k stars on GitHub.
- Where can I find pytorch-sentiment-analysis?
- bentrevett/pytorch-sentiment-analysis is on GitHub at https://github.com/bentrevett/pytorch-sentiment-analysis.