A Sentiment Analysis Library for Research on top of PyTorch
Sentiment Analysis Library for Research with PyTorch
TorchSenti provides sentiment analysis datasets from a simple one (positive/negative labels) to fine-grained one (aspect-based). TorchSenti is compatible with PyTorch to develop model and use pre-trained model to benchmark your work with other researchers.
- Text Cleansing e.g removing hyperlinks - WordPiece Tokenization with tagging for aspect extraction - Entity metrics for aspect detection
- **Sentiment Analysis** - IMDB Movie Reviews - Pros and Cons - Movie Review - Trip Advisor - City Search Data - Yelp Review - **Aspect-based Sentiment Analysis** - SemEval 2014 Task 4 (ToDo) - SemEval 2015 Task 12 (ToDo) - SemEval 2016 Task 5 (ToDo)
You can install TorchSenti using pip
pip install torchsenti
git clone https://github.com/jakartaresearch/pytorch-sentiment.git cd pytorch-sentiment python setup.py install
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