Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
bertcnncnn-text-classificationfasttextlstmlstm-sentiment-analysisnatural-language-processingnlppytorchpytorch-nlppytorch-tutorialpytorch-tutorialsrecurrent-neural-networksrnnsentiment-analysissentiment-classificationtorchtexttransformerstutorialword-embeddings
| data | ||
| .gitignore | ||
| 1 - Simple Sentiment Analysis.ipynb | ||
| 2 - Upgraded Sentiment Analysis.ipynb | ||
| 3 - Faster Sentiment Analysis.ipynb | ||
| A - Using TorchText with Your Own Datasets.ipynb | ||
| LICENSE | ||
| README.md | ||
pytorch-sentiment-analysis
Some examples on sentiment analysis using PyTorch.
Includes:
- imdb classification
- imdb parameter search
- born again networks for imdb classification (in progress)
Planned:
- Kaggle Toxic Classification
- More models, RNN w/ self-attention, CNN, etc.