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A Sentiment Analysis Library for Research on top of PyTorch

Project description


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

Dataset Available

- **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

from source

    git clone
    cd pytorch-sentiment
    python install

Getting Started


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torchsenti-0.0.8.tar.gz (8.6 kB view hashes)

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